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- affiliation: Radboud University, Medical Center, Nijmegen, The Netherlands
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Journal Articles
- 2024
[j92]Coen de Vente
, Koenraad A. Vermeer, Nicolas Jaccard, He Wang, Hongyi Sun, Firas Khader, Daniel Truhn, Temirgali Aimyshev, Yerkebulan Zhanibekuly, Tien-Dung Le, Adrian Galdran, Miguel Ángel González Ballester, Gustavo Carneiro, Devika R. G, Hrishikesh Panikkasseril Sethumadhavan, Densen Puthussery, Hong Liu, Zekang Yang, Satoshi Kondo, Satoshi Kasai, Edward Wang, Ashritha Durvasula, Jónathan Heras, Miguel Ángel Zapata, Teresa Araújo, Guilherme Aresta, Hrvoje Bogunovic, Mustafa Arikan, Yeong Chan Lee, Hyun Bin Cho, Yoon Ho Choi, Abdul Qayyum, Imran Razzak, Bram van Ginneken, Hans G. Lemij, Clara I. Sánchez:
AIROGS: Artificial Intelligence for Robust Glaucoma Screening Challenge. IEEE Trans. Medical Imaging 43(1): 542-557 (2024)- 2023
- [j91]Patrick Bilic, Patrick Ferdinand Christ, Hongwei Li, Eugene Vorontsov, Avi Ben-Cohen, Georgios Kaissis, Adi Szeskin, Colin Jacobs, Gabriel Efrain Humpire Mamani, Gabriel Chartrand, Fabian Lohöfer, Julian Walter Holch, Wieland H. Sommer, Felix Hofmann, Alexandre Hostettler, Naama Lev-Cohain, Michal Drozdzal, Michal Marianne Amitai, Refael Vivanti, Jacob Sosna, Ivan Ezhov, Anjany Sekuboyina, Fernando Navarro, Florian Kofler, Johannes C. Paetzold, Suprosanna Shit, Xiaobin Hu, Jana Lipková, Markus Rempfler, Marie Piraud, Jan Kirschke, Benedikt Wiestler, Zhiheng Zhang, Christian Hülsemeyer, Marcel Beetz, Florian Ettlinger, Michela Antonelli, Woong Bae, Miriam Bellver, Lei Bi, Hao Chen, Grzegorz Chlebus, Erik B. Dam, Qi Dou, Chi-Wing Fu, Bogdan Georgescu, Xavier Giró-i-Nieto, Felix Grün, Xu Han, Pheng-Ann Heng, Jürgen Hesser, Jan Hendrik Moltz, Christian Igel, Fabian Isensee, Paul Jäger, Fucang Jia, Krishna Chaitanya Kaluva, Mahendra Khened, Ildoo Kim, Jae-Hun Kim, Sungwoong Kim, Simon Kohl, Tomasz K. Konopczynski, Avinash Kori, Ganapathy Krishnamurthi, Fan Li, Hongchao Li, Junbo Li, Xiaomeng Li, John S. Lowengrub, Jun Ma, Klaus H. Maier-Hein, Kevis-Kokitsi Maninis, Hans Meine, Dorit Merhof, Akshay Pai, Mathias Perslev, Jens Petersen, Jordi Pont-Tuset, Jin Qi, Xiaojuan Qi, Oliver Rippel, Karsten Roth, Ignacio Sarasua, Andrea Schenk, Zengming Shen, Jordi Torres, Christian Wachinger, Chunliang Wang, Leon Weninger, Jianrong Wu, Daguang Xu, Xiaoping Yang, Simon Chun-Ho Yu, Yading Yuan, Miao Yue, Liping Zhang, Manuel Jorge Cardoso, Spyridon Bakas, Rickmer Braren, Volker Heinemann, Christopher Pal, An Tang, Samuel Kadoury, Luc Soler, Bram van Ginneken, Hayit Greenspan, Leo Joskowicz, Bjoern H. Menze:
The Liver Tumor Segmentation Benchmark (LiTS). Medical Image Anal. 84: 102680 (2023) - [j90]Péter Bándi, Maschenka Balkenhol, Marcory Van Dijk, Michel Kok, Bram van Ginneken, Jeroen van der Laak, Geert Litjens:
Continual learning strategies for cancer-independent detection of lymph node metastases. Medical Image Anal. 85: 102755 (2023) - [j89]Weiyi Xie, Colin Jacobs, Jean-Paul Charbonnier, Bram van Ginneken:
Dense regression activation maps for lesion segmentation in CT scans of COVID-19 patients. Medical Image Anal. 86: 102771 (2023) - [j88]Alessa Hering, Lasse Hansen, Tony C. W. Mok, Albert C. S. Chung, Hanna Siebert, Stephanie Häger, Annkristin Lange, Sven Kuckertz, Stefan Heldmann, Wei Shao, Sulaiman Vesal, Mirabela Rusu, Geoffrey A. Sonn, Théo Estienne, Maria Vakalopoulou, Luyi Han, Yunzhi Huang, Pew-Thian Yap, Mikael Brudfors, Yaël Balbastre, Samuel Joutard, Marc Modat, Gal Lifshitz, Dan Raviv, Jinxin Lv, Qiang Li, Vincent Jaouen, Dimitris Visvikis, Constance Fourcade, Mathieu Rubeaux, Wentao Pan, Zhe Xu, Bailiang Jian, Francesca De Benetti, Marek Wodzinski, Niklas Gunnarsson, Jens Sjölund, Daniel Grzech, Huaqi Qiu, Zeju Li, Alexander Thorley, Jinming Duan, Christoph Großbröhmer, Andrew Hoopes, Ingerid Reinertsen, Yiming Xiao, Bennett A. Landman, Yuankai Huo, Keelin Murphy, Nikolas Lessmann, Bram van Ginneken, Adrian V. Dalca, Mattias P. Heinrich:
Learn2Reg: Comprehensive Multi-Task Medical Image Registration Challenge, Dataset and Evaluation in the Era of Deep Learning. IEEE Trans. Medical Imaging 42(3): 697-712 (2023) - [j87]Erdi Calli, Bram van Ginneken, Ecem Sogancioglu, Keelin Murphy:
FRODO: An In-Depth Analysis of a System to Reject Outlier Samples From a Trained Neural Network. IEEE Trans. Medical Imaging 42(4): 971-981 (2023) - 2022
- [j86]Grzegorz Chlebus, Andrea Schenk, Horst K. Hahn, Bram van Ginneken, Hans Meine:
Robust Segmentation Models Using an Uncertainty Slice Sampling-Based Annotation Workflow. IEEE Access 10: 4728-4738 (2022) - [j85]Lisa C. Adams, Marcus R. Makowski, Günther Engel, Maximilian Rattunde, Felix Busch, Patrick Asbach, Stefan Markus Niehues, Shankeeth Vinayahalingam, Bram van Ginneken, Geert Litjens, Keno K. Bressem:
Prostate158 - An expert-annotated 3T MRI dataset and algorithm for prostate cancer detection. Comput. Biol. Medicine 148: 105817 (2022) - [j84]Hans Pinckaers, Bram van Ginneken, Geert Litjens:
Streaming Convolutional Neural Networks for End-to-End Learning With Multi-Megapixel Images. IEEE Trans. Pattern Anal. Mach. Intell. 44(3): 1581-1590 (2022) - [j83]Coen de Vente, Luuk H. Boulogne, Kiran Vaidhya Venkadesh, Cheryl Sital, Nikolas Lessmann, Colin Jacobs, Clara I. Sánchez, Bram van Ginneken:
Automated COVID-19 Grading With Convolutional Neural Networks in Computed Tomography Scans: A Systematic Comparison. IEEE Trans. Artif. Intell. 3(2): 129-138 (2022) - 2021
- [j82]Anneke Meyer, Grzegorz Chlebus, Marko Rak, Daniel Schindele, Martin Schostak, Bram van Ginneken, Andrea Schenk, Hans Meine, Horst K. Hahn, Andreas Schreiber, Christian Hansen:
Anisotropic 3D Multi-Stream CNN for Accurate Prostate Segmentation from Multi-Planar MRI. Comput. Methods Programs Biomed. 200: 105821 (2021) - [j81]Erdi Çalli, Ecem Sogancioglu, Bram van Ginneken, Kicky G. van Leeuwen, Keelin Murphy:
Deep learning for chest X-ray analysis: A survey. Medical Image Anal. 72: 102125 (2021) - [j80]Alessa Hering, Stephanie Häger, Jan Hendrik Moltz, Nikolas Lessmann, Stefan Heldmann, Bram van Ginneken:
CNN-based lung CT registration with multiple anatomical constraints. Medical Image Anal. 72: 102139 (2021) - [j79]Gerda Bortsova, Cristina González-Gonzalo, Suzanne C. Wetstein, Florian Dubost, Ioannis Katramados, Laurens Hogeweg, Bart Liefers, Bram van Ginneken, Josien P. W. Pluim, Mitko Veta, Clara I. Sánchez, Marleen de Bruijne:
Adversarial attack vulnerability of medical image analysis systems: Unexplored factors. Medical Image Anal. 73: 102141 (2021) - [j78]S. Kevin Zhou, Hayit Greenspan, Christos Davatzikos, James S. Duncan, Bram van Ginneken, Anant Madabhushi, Jerry L. Prince, Daniel Rueckert, Ronald M. Summers:
A Review of Deep Learning in Medical Imaging: Imaging Traits, Technology Trends, Case Studies With Progress Highlights, and Future Promises. Proc. IEEE 109(5): 820-838 (2021) - 2020
- [j77]Ecem Sogancioglu, Keelin Murphy, Erdi Calli, Ernst Th. Scholten, Steven Schalekamp, Bram van Ginneken:
Cardiomegaly Detection on Chest Radiographs: Segmentation Versus Classification. IEEE Access 8: 94631-94642 (2020) - [j76]Salome Kazeminia, Christoph Baur, Arjan Kuijper, Bram van Ginneken, Nassir Navab, Shadi Albarqouni, Anirban Mukhopadhyay:
GANs for medical image analysis. Artif. Intell. Medicine 109: 101938 (2020) - [j75]Lena Maier-Hein, Annika Reinke, Michal Kozubek, Anne L. Martel, Tal Arbel, Matthias Eisenmann, Allan Hanbury, Pierre Jannin, Henning Müller, Sinan Onogur, Julio Saez-Rodriguez, Bram van Ginneken, Annette Kopp-Schneider, Bennett A. Landman:
BIAS: Transparent reporting of biomedical image analysis challenges. Medical Image Anal. 66: 101796 (2020) - [j74]Midas Meijs, Frederick J. A. Meijer, Mathias Prokop, Bram van Ginneken, Rashindra Manniesing:
Image-level detection of arterial occlusions in 4D-CTA of acute stroke patients using deep learning. Medical Image Anal. 66: 101810 (2020) - [j73]Sil C. van de Leemput, Mathias Prokop, Bram van Ginneken, Rashindra Manniesing:
Stacked Bidirectional Convolutional LSTMs for Deriving 3D Non-Contrast CT From Spatiotemporal 4D CT. IEEE Trans. Medical Imaging 39(4): 985-996 (2020) - [j72]Weiyi Xie, Colin Jacobs, Jean-Paul Charbonnier, Bram van Ginneken:
Relational Modeling for Robust and Efficient Pulmonary Lobe Segmentation in CT Scans. IEEE Trans. Medical Imaging 39(8): 2664-2675 (2020) - [j71]Cristina González-Gonzalo, Bart Liefers, Bram van Ginneken, Clara I. Sánchez:
Iterative Augmentation of Visual Evidence for Weakly-Supervised Lesion Localization in Deep Interpretability Frameworks: Application to Color Fundus Images. IEEE Trans. Medical Imaging 39(11): 3499-3511 (2020) - 2019
- [j70]Sil C. van de Leemput, Midas Meijs, Ajay Patel, Frederick J. A. Meijer, Bram van Ginneken, Rashindra Manniesing:
Multiclass Brain Tissue Segmentation in 4D CT Using Convolutional Neural Networks. IEEE Access 7: 51557-51569 (2019) - [j69]Ajay Patel, Sil C. van de Leemput, Mathias Prokop, Bram van Ginneken, Rashindra Manniesing:
Image Level Training and Prediction: Intracranial Hemorrhage Identification in 3D Non-Contrast CT. IEEE Access 7: 92355-92364 (2019) - [j68]Sil C. van de Leemput, Jonas Teuwen, Bram van Ginneken, Rashindra Manniesing:
MemCNN: A Python/PyTorch package for creating memory-efficient invertible neural networks. J. Open Source Softw. 4(39): 1576 (2019) - [j67]Nikolas Leßmann, Bram van Ginneken, Pim A. de Jong, Ivana Isgum:
Iterative fully convolutional neural networks for automatic vertebra segmentation and identification. Medical Image Anal. 53: 142-155 (2019) - [j66]Péter Bándi, Oscar Geessink, Quirine Manson, Marcory Van Dijk, Maschenka Balkenhol, Meyke Hermsen, Babak Ehteshami Bejnordi, Byungjae Lee, Kyunghyun Paeng, Aoxiao Zhong, Quanzheng Li, Farhad Ghazvinian Zanjani, Svitlana Zinger, Keisuke Fukuta, Daisuke Komura, Vlado Ovtcharov, Shenghua Cheng, Shaoqun Zeng, Jeppe Thagaard, Anders B. Dahl, Huangjing Lin, Hao Chen, Ludwig Jacobsson, Martin Hedlund, Melih Çetin, Eren Halici, Hunter Jackson, Richard Chen, Fabian Both, Jörg Franke, Heidi Küsters-Vandevelde, Willem Vreuls, Peter Bult, Bram van Ginneken, Jeroen van der Laak, Geert Litjens:
From Detection of Individual Metastases to Classification of Lymph Node Status at the Patient Level: The CAMELYON17 Challenge. IEEE Trans. Medical Imaging 38(2): 550-560 (2019) - 2018
- [j65]Nikolas Leßmann, Bram van Ginneken, Majd Zreik, Pim A. de Jong, Bob D. de Vos, Max A. Viergever, Ivana Isgum:
Automatic Calcium Scoring in Low-Dose Chest CT Using Deep Neural Networks With Dilated Convolutions. IEEE Trans. Medical Imaging 37(2): 615-625 (2018) - 2017
- [j64]Thijs Kooi, Geert Litjens, Bram van Ginneken, Albert Gubern-Mérida, Clara I. Sánchez, Ritse Mann, Ard den Heeten, Nico Karssemeijer:
Large scale deep learning for computer aided detection of mammographic lesions. Medical Image Anal. 35: 303-312 (2017) - [j63]Jean-Paul Charbonnier, Eva M. van Rikxoort, Arnaud A. A. Setio, Cornelia Schaefer-Prokop, Bram van Ginneken, Francesco Ciompi:
Improving airway segmentation in computed tomography using leak detection with convolutional networks. Medical Image Anal. 36: 52-60 (2017) - [j62]Ajay Patel, Bram van Ginneken, Frederick J. A. Meijer, Ewoud J. van Dijk, Mathias Prokop, Rashindra Manniesing:
Robust cranial cavity segmentation in CT and CT perfusion images of trauma and suspected stroke patients. Medical Image Anal. 36: 216-228 (2017) - [j61]Geert Litjens, Thijs Kooi, Babak Ehteshami Bejnordi, Arnaud Arindra Adiyoso Setio, Francesco Ciompi, Mohsen Ghafoorian, Jeroen A. W. M. van der Laak, Bram van Ginneken, Clara I. Sánchez:
A survey on deep learning in medical image analysis. Medical Image Anal. 42: 60-88 (2017) - 2016
- [j60]Thessa T. J. P. Kockelkorn, Rui Ramos, José Ramos, Pim A. de Jong, Cornelia Schaefer-Prokop, Rianne Wittenberg, Audrey M. Tiehuis, Jan C. Grutters, Max A. Viergever, Bram van Ginneken:
Optimization Strategies for Interactive Classification of Interstitial Lung Disease Textures. Frontiers ICT 3: 33 (2016) - [j59]Pragnya Maduskar, Rick H. H. M. Philipsen, Jaime Melendez, Ernst Th. Scholten, Duncan Chanda, Helen Ayles, Clara I. Sánchez, Bram van Ginneken:
Automatic detection of pleural effusion in chest radiographs. Medical Image Anal. 28: 22-32 (2016) - [j58]José Ramos, Thessa T. J. P. Kockelkorn, Isabel Ramos, Rui Ramos, Jan C. Grutters, Max A. Viergever, Bram van Ginneken, Aurélio J. C. Campilho:
Content-Based Image Retrieval by Metric Learning From Radiology Reports: Application to Interstitial Lung Diseases. IEEE J. Biomed. Health Informatics 20(1): 281-292 (2016) - [j57]Jaime Melendez, Bram van Ginneken, Pragnya Maduskar, Rick H. H. M. Philipsen, Helen Ayles, Clara I. Sánchez:
On Combining Multiple-Instance Learning and Active Learning for Computer-Aided Detection of Tuberculosis. IEEE Trans. Medical Imaging 35(4): 1013-1024 (2016) - [j56]Hayit Greenspan, Bram van Ginneken, Ronald M. Summers:
Guest Editorial Deep Learning in Medical Imaging: Overview and Future Promise of an Exciting New Technique. IEEE Trans. Medical Imaging 35(5): 1153-1159 (2016) - [j55]Arnaud Arindra Adiyoso Setio, Francesco Ciompi, Geert Litjens, Paul K. Gerke, Colin Jacobs, Sarah J. van Riel, Mathilde Marie Winkler Wille, Matiullah Naqibullah, Clara I. Sánchez, Bram van Ginneken:
Pulmonary Nodule Detection in CT Images: False Positive Reduction Using Multi-View Convolutional Networks. IEEE Trans. Medical Imaging 35(5): 1160-1169 (2016) - [j54]Mark J. J. P. van Grinsven, Bram van Ginneken, Carel B. Hoyng, Thomas Theelen, Clara I. Sánchez:
Fast Convolutional Neural Network Training Using Selective Data Sampling: Application to Hemorrhage Detection in Color Fundus Images. IEEE Trans. Medical Imaging 35(5): 1273-1284 (2016) - 2015
- [j53]Francesco Ciompi, Bartjan de Hoop, Sarah J. van Riel, Kaman Chung, Ernst Th. Scholten, Matthijs Oudkerk, Pim A. de Jong, Mathias Prokop, Bram van Ginneken:
Automatic classification of pulmonary peri-fissural nodules in computed tomography using an ensemble of 2D views and a convolutional neural network out-of-the-box. Medical Image Anal. 26(1): 195-202 (2015) - [j52]Jaime Melendez, Bram van Ginneken, Pragnya Maduskar, Rick H. H. M. Philipsen, Klaus Reither, Marianne Breuninger, Ifedayo M. O. Adetifa, Rahmatulai Maane, Helen Ayles, Clara I. Sánchez:
A Novel Multiple-Instance Learning-Based Approach to Computer-Aided Detection of Tuberculosis on Chest X-Rays. IEEE Trans. Medical Imaging 34(1): 179-192 (2015) - [j51]Francesco Ciompi, Colin Jacobs, Ernst Th. Scholten, Mathilde M. W. Wille, Pim A. de Jong, Mathias Prokop, Bram van Ginneken:
Bag-of-Frequencies: A Descriptor of Pulmonary Nodules in Computed Tomography Images. IEEE Trans. Medical Imaging 34(4): 962-973 (2015) - [j50]Rick H. H. M. Philipsen, Pragnya Maduskar, Laurens Hogeweg, Jaime Melendez, Clara I. Sánchez, Bram van Ginneken:
Localized Energy-Based Normalization of Medical Images: Application to Chest Radiography. IEEE Trans. Medical Imaging 34(9): 1965-1975 (2015) - [j49]Laurens Hogeweg, Clara I. Sánchez, Pragnya Maduskar, Rick H. H. M. Philipsen, Alistair Story, Rodney Dawson, Grant Theron, Keertan Dheda, Liesbeth Peters-Bax, Bram van Ginneken:
Automatic Detection of Tuberculosis in Chest Radiographs Using a Combination of Textural, Focal, and Shape Abnormality Analysis. IEEE Trans. Medical Imaging 34(12): 2429-2442 (2015) - 2014
- [j48]Geert Litjens, Robert Toth, Wendy J. M. van de Ven, Caroline Hoeks, Sjoerd Kerkstra, Bram van Ginneken, Graham Vincent, Gwenaël Guillard, Neil Birbeck, Jindang Zhang, Robin Strand, Filip Malmberg, Yangming Ou, Christos Davatzikos, Matthias Kirschner, Florian Jung, Jing Yuan, Wu Qiu, Qinquan Gao, Philip J. Edwards, Bianca Maan, Ferdinand van der Heijden, Soumya Ghose, Jhimli Mitra, Jason Dowling, Dean C. Barratt, Henkjan J. Huisman, Anant Madabhushi:
Evaluation of prostate segmentation algorithms for MRI: The PROMISE12 challenge. Medical Image Anal. 18(2): 359-373 (2014) - [j47]Colin Jacobs, Eva M. van Rikxoort, Thorsten Twellmann, Ernst Th. Scholten, Pim A. de Jong, Jan-Martin Kuhnigk, Matthijs Oudkerk, Harry J. de Koning, Mathias Prokop, Cornelia Schaefer-Prokop, Bram van Ginneken:
Automatic detection of subsolid pulmonary nodules in thoracic computed tomography images. Medical Image Anal. 18(2): 374-384 (2014) - [j46]Sascha E. A. Muenzing, Bram van Ginneken, Max A. Viergever, Josien P. W. Pluim:
DIRBoost-An algorithm for boosting deformable image registration: Application to lung CT intra-subject registration. Medical Image Anal. 18(3): 449-459 (2014) - 2013
- [j45]Bianca Lassen, Eva M. van Rikxoort, Michael Schmidt, Sjoerd Kerkstra, Bram van Ginneken, Jan-Martin Kuhnigk:
Automatic Segmentation of the Pulmonary Lobes From Chest CT Scans Based on Fissures, Vessels, and Bronchi. IEEE Trans. Medical Imaging 32(2): 210-222 (2013) - [j44]Laurens Hogeweg, Clara I. Sánchez, Bram van Ginneken:
Suppression of Translucent Elongated Structures: Applications in Chest Radiography. IEEE Trans. Medical Imaging 32(11): 2099-2113 (2013) - 2012
- [j43]Clara I. Sánchez, Meindert Niemeijer, Ivana Isgum, Alina V. Dumitrescu, Maria S. A. Suttorp-Schulten, Michael D. Abràmoff, Bram van Ginneken:
Contextual computer-aided detection: Improving bright lesion detection in retinal images and coronary calcification identification in CT scans. Medical Image Anal. 16(1): 50-62 (2012) - [j42]Laurens Hogeweg, Clara I. Sánchez, Pim A. de Jong, Pragnya Maduskar, Bram van Ginneken:
Clavicle segmentation in chest radiographs. Medical Image Anal. 16(8): 1490-1502 (2012) - [j41]Sascha E. A. Muenzing, Bram van Ginneken, Keelin Murphy, Josien P. W. Pluim:
Supervised quality assessment of medical image registration: Application to intra-patient CT lung registration. Medical Image Anal. 16(8): 1521-1531 (2012) - [j40]Pechin Lo, Bram van Ginneken, Joseph M. Reinhardt, Tarunashree Yavarna, Pim A. de Jong, Benjamin Irving, Catalin I. Fetita, Margarete Ortner, Romulo Pinho, Jan Sijbers, Marco Feuerstein, Anna Fabijanska, Christian Bauer, Reinhard Beichel, Carlos S. Mendoza, Rafael Wiemker, Jaesung Lee, Anthony P. Reeves, Silvia Born, Oliver Weinheimer, Eva M. van Rikxoort, Juerg Tschirren, Kensaku Mori, Benjamin Odry, David P. Naidich, Ieneke Hartmann, Eric A. Hoffman, Mathias Prokop, Jesper Johannes Holst Pedersen, Marleen de Bruijne:
Extraction of Airways From CT (EXACT'09). IEEE Trans. Medical Imaging 31(11): 2093-2107 (2012) - [j39]Ivana Isgum, Mathias Prokop, Meindert Niemeijer, Max A. Viergever, Bram van Ginneken:
Automatic Coronary Calcium Scoring in Low-Dose Chest Computed Tomography. IEEE Trans. Medical Imaging 31(12): 2322-2334 (2012) - 2011
- [j38]Keelin Murphy, Bram van Ginneken, Stefan Klein, Marius Staring, Bartjan de Hoop, Max A. Viergever, Josien P. W. Pluim:
Semi-automatic construction of reference standards for evaluation of image registration. Medical Image Anal. 15(1): 71-84 (2011) - [j37]Meindert Niemeijer, Marco Loog, Michael D. Abràmoff, Max A. Viergever, Mathias Prokop, Bram van Ginneken:
On Combining Computer-Aided Detection Systems. IEEE Trans. Medical Imaging 30(2): 215-223 (2011) - [j36]Keelin Murphy, Bram van Ginneken, Joseph M. Reinhardt, Sven Kabus, Kai Ding, Xiang Deng, Kunlin Cao, Kaifang Du, Gary E. Christensen, Vincent Garcia, Tom Vercauteren, Nicholas Ayache, Olivier Commowick, Grégoire Malandain, Ben Glocker, Nikos Paragios, Nassir Navab, Vladlena Gorbunova, Jon Sporring, Marleen de Bruijne, Xiao Han, Mattias P. Heinrich, Julia A. Schnabel, Mark Jenkinson, Cristian Lorenz, Marc Modat, Jamie McClelland, Sébastien Ourselin, Sascha E. A. Muenzing, Max A. Viergever, Dante De Nigris, D. Louis Collins, Tal Arbel, Marta Peroni, Rui Li, Gregory C. Sharp, Alexander Schmidt-Richberg, Jan Ehrhardt, René Werner, Dirk Smeets, Dirk Loeckx, Gang Song, Nicholas J. Tustison, Brian B. Avants, James C. Gee, Marius Staring, Stefan Klein, Berend C. Stoel, Martin Urschler, Manuel Werlberger, Jef Vandemeulebroucke, Simon Rit, David Sarrut, Josien P. W. Pluim:
Evaluation of Registration Methods on Thoracic CT: The EMPIRE10 Challenge. IEEE Trans. Medical Imaging 30(11): 1901-1920 (2011) - [j35]Meindert Niemeijer, Xiayu Xu, Alina V. Dumitrescu, Priya Gupta, Bram van Ginneken, James C. Folk, Michael D. Abràmoff:
Automated Measurement of the Arteriolar-to-Venular Width Ratio in Digital Color Fundus Photographs. IEEE Trans. Medical Imaging 30(11): 1941-1950 (2011) - 2010
- [j34]Eva M. van Rikxoort, Ivana Isgum, Yulia Arzhaeva, Marius Staring, Stefan Klein, Max A. Viergever, Josien P. W. Pluim, Bram van Ginneken:
Adaptive local multi-atlas segmentation: Application to the heart and the caudate nucleus. Medical Image Anal. 14(1): 39-49 (2010) - [j33]Bram van Ginneken, Samuel G. Armato III, Bartjan de Hoop, Saskia van Amelsvoort-van de Vorst, Thomas Duindam, Meindert Niemeijer, Keelin Murphy, Arnold M. R. Schilham, Alessandra Retico, Maria Evelina Fantacci, Niccolò Camarlinghi, Francesco Bagagli, Ilaria Gori, Takeshi Hara, Hiroshi Fujita, Gianfranco Gargano, Roberto Bellotti, Sabina Sonia Tangaro, Lourdes Bolanos, Francesco De Carlo, Piergiorgio Cerello, Sorin Cristian Cheran, Ernesto Lopez Torres, Mathias Prokop:
Comparing and combining algorithms for computer-aided detection of pulmonary nodules in computed tomography scans: The ANODE09 study. Medical Image Anal. 14(6): 707-722 (2010) - [j32]Meindert Niemeijer, Bram van Ginneken, Michael J. Cree, Atsushi Mizutani, Gwenolé Quellec, Clara I. Sánchez, Bob Zhang, Roberto Hornero, Mathieu Lamard, Chisako Muramatsu, Xiangqian Wu, Guy Cazuguel, Jane You, Agustín Mayo, Qin Li, Yuji Hatanaka, Béatrice Cochener, Christian Roux, Fakhri Karray, María García, Hiroshi Fujita, Michael D. Abràmoff:
Retinopathy Online Challenge: Automatic Detection of Microaneurysms in Digital Color Fundus Photographs. IEEE Trans. Medical Imaging 29(1): 185-195 (2010) - [j31]Eva M. van Rikxoort, Mathias Prokop, Bartjan de Hoop, Max A. Viergever, Josien P. W. Pluim, Bram van Ginneken:
Automatic Segmentation of Pulmonary Lobes Robust Against Incomplete Fissures. IEEE Trans. Medical Imaging 29(6): 1286-1296 (2010) - 2009
- [j30]Keelin Murphy, Bram van Ginneken, Arnold M. R. Schilham, Bartjan de Hoop, H. A. Gietema, Mathias Prokop:
A large-scale evaluation of automatic pulmonary nodule detection in chest CT using local image features and k-nearest-neighbour classification. Medical Image Anal. 13(5): 757-770 (2009) - [j29]Meindert Niemeijer, Michael D. Abràmoff, Bram van Ginneken:
Fast detection of the optic disc and fovea in color fundus photographs. Medical Image Anal. 13(6): 859-870 (2009) - [j28]Yulia Arzhaeva, David M. J. Tax, Bram van Ginneken:
Dissimilarity-based classification in the absence of local ground truth: Application to the diagnostic interpretation of chest radiographs. Pattern Recognit. 42(9): 1768-1776 (2009) - [j27]Eva M. van Rikxoort, Bartjan de Hoop, Saskia van de Vorst, Mathias Prokop, Bram van Ginneken:
Automatic Segmentation of Pulmonary Segments From Volumetric Chest CT Scans. IEEE Trans. Medical Imaging 28(4): 621-630 (2009) - [j26]Meindert Niemeijer, Michael D. Abràmoff, Bram van Ginneken:
Information Fusion for Diabetic Retinopathy CAD in Digital Color Fundus Photographs. IEEE Trans. Medical Imaging 28(5): 775-785 (2009) - [j25]Ivana Isgum, Marius Staring, Annemarieke Rutten, Mathias Prokop, Max A. Viergever, Bram van Ginneken:
Multi-Atlas-Based Segmentation With Local Decision Fusion - Application to Cardiac and Aortic Segmentation in CT Scans. IEEE Trans. Medical Imaging 28(7): 1000-1010 (2009) - [j24]Tobias Heimann, Bram van Ginneken, Martin Styner, Yulia Arzhaeva, Volker Aurich, Christian Bauer, Andreas Beck, Christoph Becker, Reinhard Beichel, György Bekes, Fernando Bello, Gerd Karl Binnig, Horst Bischof, Alexander Bornik, Peter Cashman, Ying Chi, Andrés Cordova, Benoit M. Dawant, Márta Fidrich, Jacob D. Furst, Daisuke Furukawa, Lars Grenacher, Joachim Hornegger, Dagmar Kainmüller, Richard Kitney, Hidefumi Kobatake, Hans Lamecker, Thomas Lange, Jeongjin Lee, Brian Lennon, Rui Li, Senhu Li, Hans-Peter Meinzer, Gábor Németh, Daniela Stan Raicu, Anne-Mareike Rau, Eva M. van Rikxoort, Mikaël Rousson, László Ruskó, Kinda Anna Saddi, Günter Schmidt, Dieter Seghers, Akinobu Shimizu, Pieter Slagmolen, Erich Sorantin, Grzegorz Soza, Ruchaneewan Susomboon, Jonathan M. Waite, Andreas Wimmer, Ivo Wolf:
Comparison and Evaluation of Methods for Liver Segmentation From CT Datasets. IEEE Trans. Medical Imaging 28(8): 1251-1265 (2009) - [j23]Adriënne Mendrik, Evert-Jan Vonken, Annemarieke Rutten, Max A. Viergever, Bram van Ginneken:
Noise Reduction in Computed Tomography Scans Using 3-D Anisotropic Hybrid Diffusion With Continuous Switch. IEEE Trans. Medical Imaging 28(10): 1585-1594 (2009) - 2008
- [j22]Eva M. van Rikxoort, Bram van Ginneken, M. A. J. Klik, Mathias Prokop:
Supervised Enhancement Filters: Application to Fissure Detection in Chest CT Scans. IEEE Trans. Medical Imaging 27(1): 1-10 (2008) - 2007
- [j21]Joes Staal, Bram van Ginneken, Max A. Viergever:
Automatic rib segmentation and labeling in computed tomography scans using a general framework for detection, recognition and segmentation of objects in volumetric data. Medical Image Anal. 11(1): 35-46 (2007) - [j20]Meindert Niemeijer, Michael D. Abràmoff, Bram van Ginneken:
Segmentation of the Optic Disc, Macula and Vascular Arch in Fundus Photographs. IEEE Trans. Medical Imaging 26(1): 116-127 (2007) - 2006
- [j19]Bram van Ginneken, Mikkel B. Stegmann, Marco Loog:
Segmentation of anatomical structures in chest radiographs using supervised methods: a comparative study on a public database. Medical Image Anal. 10(1): 19-40 (2006) - [j18]Arnold M. R. Schilham, Bram van Ginneken, Marco Loog:
A computer-aided diagnosis system for detection of lung nodules in chest radiographs with an evaluation on a public database. Medical Image Anal. 10(2): 247-258 (2006) - [j17]Marco Loog, Bram van Ginneken, Arnold M. R. Schilham:
Filter learning: Application to suppression of bony structures from chest radiographs. Medical Image Anal. 10(6): 826-840 (2006) - [j16]Meindert Niemeijer, Michael D. Abràmoff, Bram van Ginneken:
Image structure clustering for image quality verification of color retina images in diabetic retinopathy screening. Medical Image Anal. 10(6): 888-898 (2006) - [j15]Ingrid Sluimer, Arnold M. R. Schilham, Mathias Prokop, Bram van Ginneken:
Computer analysis of computed tomography scans of the lung: a survey. IEEE Trans. Medical Imaging 25(4): 385-405 (2006) - [j14]Arnold M. R. Schilham, Bram van Ginneken, H. A. Gietema, Mathias Prokop:
Local noise weighted filtering for emphysema scoring of low-dose CT images. IEEE Trans. Medical Imaging 25(4): 451-463 (2006) - [j13]Marco Loog, Bram van Ginneken:
Segmentation of the posterior ribs in chest radiographs using iterated contextual pixel classification. IEEE Trans. Medical Imaging 25(5): 602-611 (2006) - 2005
- [j12]Marco Loog, Bram van Ginneken, Robert P. W. Duin:
Dimensionality reduction of image features using the canonical contextual correlation projection. Pattern Recognit. 38(12): 2409-2418 (2005) - [j11]Meindert Niemeijer, Bram van Ginneken, Joes Staal, Maria S. A. Suttorp-Schulten, Michael D. Abràmoff:
Automatic detection of red lesions in digital color fundus photographs. IEEE Trans. Medical Imaging 24(5): 584-592 (2005) - [j10]Ingrid Sluimer, Mathias Prokop, Bram van Ginneken:
Toward Automated Segmentation of the Pathological Lung in CT. IEEE Trans. Medical Imaging 24(8): 1025-1038 (2005) - 2004
- [j9]Marleen de Bruijne, Bram van Ginneken, Max A. Viergever, Wiro J. Niessen:
Interactive segmentation of abdominal aortic aneurysms in CTA images. Medical Image Anal. 8(2): 127-138 (2004) - [j8]Joes Staal, Michael D. Abràmoff, Meindert Niemeijer, Max A. Viergever, Bram van Ginneken:
Ridge-based vessel segmentation in color images of the retina. IEEE Trans. Medical Imaging 23(4): 501-509 (2004) - 2003
- [j7]Bram van Ginneken, Bart M. ter Haar Romeny:
Multi-scale texture classification from generalized locally orderless images. Pattern Recognit. 36(4): 899-911 (2003) - 2002
- [j6]Bram van Ginneken, Shigehiko Katsuragawa, Bart M. ter Haar Romeny, Kunio Doi, Max A. Viergever:
Automatic Detection of Abnormalities in Chest Radiographs Using Local Texture Analysis. IEEE Trans. Medical Imaging 21(2): 139-149 (2002) - [j5]Bram van Ginneken, Alejandro F. Frangi, Joes Staal, Bart M. ter Haar Romeny, Max A. Viergever:
Active Shape Model Segmentation with Optimal Features. IEEE Trans. Medical Imaging 21(8): 924-933 (2002) - 2001
- [j4]Bram van Ginneken, Bart M. ter Haar Romeny, Max A. Viergever:
Computer-Aided Diagnosis in Chest Radiography: A Survey. IEEE Trans. Medical Imaging 20(12): 1228-1241 (2001) - 2000
- [j3]Bram van Ginneken, Bart M. ter Haar Romeny:
Applications of Locally Orderless Images. J. Vis. Commun. Image Represent. 11(2): 196-208 (2000) - 1999
- [j2]Bram van Ginneken, Jan J. Koenderink, Kristin J. Dana:
Texture histograms as a function of irradiation and viewing direction. Int. J. Comput. Vis. 31(2-3): 169-184 (1999) - [j1]Kristin J. Dana, Bram van Ginneken, Shree K. Nayar, Jan J. Koenderink:
Reflectance and Texture of Real-World Surfaces. ACM Trans. Graph. 18(1): 1-34 (1999)
Conference and Workshop Papers
- 2023
- [c105]Koen Dercksen, Arjen P. de Vries, Bram van Ginneken:
SimpleRad: Patient-Friendly Dutch Radiology Reports. ECIR (3) 2023: 224-229 - 2020
- [c104]Hidir Cem Altun, Grzegorz Chlebus, Colin Jacobs, Hans Meine, Bram van Ginneken, Horst K. Hahn:
Feasibility of end-to-end trainable two-stage U-Net for detection of axillary lymph nodes in contrast-enhanced CT based on sparse annotations. Medical Imaging: Computer-Aided Diagnosis 2020 - 2019
- [c103]Bram van Ginneken:
Deep Learning in Image Diagnostics: Recent Results and Outlook. ICPRAM 2019: 5 - [c102]Erdi Calli, Ecem Sogancioglu, Ernst Th. Scholten, Keelin Murphy, Bram van Ginneken:
Handling label noise through model confidence and uncertainty: application to chest radiograph classification. Medical Imaging: Computer-Aided Diagnosis 2019: 1095016 - [c101]Alessa Hering, Bram van Ginneken, Stefan Heldmann:
mlVIRNET: Multilevel Variational Image Registration Network. MICCAI (6) 2019: 257-265 - [c100]Bart Liefers, Cristina González-Gonzalo, Caroline Klaver, Bram van Ginneken, Clara I. Sánchez:
Dense Segmentation in Selected Dimensions: Application to Retinal Optical Coherence Tomography. MIDL 2019: 337-346 - 2018
- [c99]Guilherme Aresta, Teresa Araújo, Colin Jacobs, Bram van Ginneken, António Cunha, Isabel Ramos, Aurélio Campilho:
Towards an Automatic Lung Cancer Screening System in Low Dose Computed Tomography. RAMBO+BIA+TIA@MICCAI 2018: 310-318 - [c98]Mohsen Ghafoorian, Jonas Teuwen, Rashindra Manniesing, Frank-Erik de Leeuw, Bram van Ginneken, Nico Karssemeijer, Bram Platel:
Student beats the teacher: deep neural networks for lateral ventricles segmentation in brain MR. Medical Imaging: Image Processing 2018: 105742U - [c97]Nikolas Leßmann, Bram van Ginneken, Ivana Isgum:
Iterative convolutional neural networks for automatic vertebra identification and segmentation in CT images. Medical Imaging: Image Processing 2018: 1057408 - 2017
- [c96]Francesco Ciompi, Oscar Geessink, Babak Ehteshami Bejnordi, Gabriel Silva de Souza, Alexi Baidoshvili, Geert Litjens, Bram van Ginneken, Iris Nagtegaal, Jeroen van der Laak:
The importance of stain normalization in colorectal tissue classification with convolutional networks. ISBI 2017: 160-163 - [c95]Péter Bándi, Rob van de Loo, Milad Intezar, Daan Geijs, Francesco Ciompi, Bram van Ginneken, Jeroen van der Laak, Geert Litjens:
Comparison of different methods for tissue segmentation in histopathological whole-slide images. ISBI 2017: 591-595 - [c94]Gabriel Efrain Humpire Mamani, Arnaud Arindra Adiyoso Setio, Bram van Ginneken, Colin Jacobs:
Organ detection in thorax abdomen CT using multi-label convolutional neural networks. Medical Imaging: Computer-Aided Diagnosis 2017: 1013416 - [c93]Ajay Patel, Sil C. van de Leemput, Mathias Prokop, Bram van Ginneken, Rashindra Manniesing:
Automatic cerebrospinal fluid segmentation in non-contrast CT images using a 3D convolutional network. Medical Imaging: Computer-Aided Diagnosis 2017: 1013420 - [c92]Thomas L. A. van den Heuvel, Hezkiel Petros, Stefano Santini, Chris L. de Korte, Bram van Ginneken:
Combining Automated Image Analysis with Obstetric Sweeps for Prenatal Ultrasound Imaging in Developing Countries. BIVPCS/POCUS@MICCAI 2017: 105-112 - [c91]Mohsen Ghafoorian, Alireza Mehrtash, Tina Kapur, Nico Karssemeijer, Elena Marchiori, Mehran Pesteie, Charles R. G. Guttmann, Frank-Erik de Leeuw, Clare M. Tempany, Bram van Ginneken, Andriy Fedorov, Purang Abolmaesumi, Bram Platel, William M. Wells III:
Transfer Learning for Domain Adaptation in MRI: Application in Brain Lesion Segmentation. MICCAI (3) 2017: 516-524 - [c90]Bart Liefers, Freerk G. Venhuizen, Thomas Theelen, Carel B. Hoyng, Bram van Ginneken, Clara I. Sánchez:
Fovea detection in optical coherence tomography using convolutional neural networks. Medical Imaging: Image Processing 2017: 1013302 - 2016
- [c89]Mohsen Ghafoorian, Nico Karssemeijer, Tom Heskes, I. W. M. van Uden, Frank-Erik de Leeuw, Elena Marchiori, Bram van Ginneken, Bram Platel:
Non-uniform patch sampling with deep convolutional neural networks for white matter hyperintensity segmentation. ISBI 2016: 1414-1417 - [c88]Nikolas Leßmann, Ivana Isgum, Arnaud A. A. Setio, Bob D. de Vos, Francesco Ciompi, Pim A. de Jong, Matthijs Oudkerk, W. P. Th. M. Mali, Max A. Viergever, Bram van Ginneken:
Deep convolutional neural networks for automatic coronary calcium scoring in a screening study with low-dose chest CT. Medical Imaging: Computer-Aided Diagnosis 2016: 978511 - 2015
- [c87]Bram van Ginneken, Arnaud A. A. Setio, Colin Jacobs, Francesco Ciompi:
Off-the-shelf convolutional neural network features for pulmonary nodule detection in computed tomography scans. ISBI 2015: 286-289 - [c86]Arnaud A. A. Setio, Colin Jacobs, Francesco Ciompi, Sarah J. van Riel, Mathilde Marie Winkler Wille, Asger Dirksen, Eva M. van Rikxoort, Bram van Ginneken:
Computer-aided detection of lung cancer: combining pulmonary nodule detection systems with a tumor risk prediction model. Medical Imaging: Computer-Aided Diagnosis 2015: 94141O - [c85]Freerk G. Venhuizen, Bram van Ginneken, Bart Bloemen, Mark J. J. P. van Grinsven, Rick H. H. M. Philipsen, Carel B. Hoyng, Thomas Theelen, Clara I. Sánchez:
Automated age-related macular degeneration classification in OCT using unsupervised feature learning. Medical Imaging: Computer-Aided Diagnosis 2015: 94141I - [c84]Francesco Ciompi, Colin Jacobs, Ernst Th. Scholten, Sarah J. van Riel, Mathilde M. W. Wille, Mathias Prokop, Bram van Ginneken:
Automatic detection of spiculation of pulmonary nodules in computed tomography images. Medical Imaging: Computer-Aided Diagnosis 2015: 941409 - 2014
- [c83]Colin Jacobs, S. H. T. T. Opdam, Eva M. van Rikxoort, O. M. Mets, J. Rooyackers, Pim A. de Jong, Mathias Prokop, Bram van Ginneken:
Automated detection and quantification of micronodules in thoracic CT scans to identify subjects at risk for silicosis. Medical Imaging: Computer-Aided Diagnosis 2014: 90351I - [c82]Jaime Melendez, Clara I. Sánchez, Rick H. H. M. Philipsen, Pragnya Maduskar, Bram van Ginneken:
Multiple-instance learning for computer-aided detection of tuberculosis. Medical Imaging: Computer-Aided Diagnosis 2014: 90351J - [c81]S. P. Rabbani, Pragnya Maduskar, Rick H. H. M. Philipsen, Laurens Hogeweg, Bram van Ginneken:
Effect of image variation on computer-aided detection systems. Medical Imaging: Computer-Aided Diagnosis 2014: 90352H - [c80]Adriënne M. Mendrik, Evert-Jan Vonken, Theo Witkamp, Mathias Prokop, Bram van Ginneken, Max A. Viergever:
Using the Fourth Dimension to Distinguish Between Structures for Anisotropic Diffusion Filtering in 4D CT Perfusion Scans. STIA 2014: 79-87 - 2013
- [c79]Mark J. J. P. van Grinsven, Arunava Chakravarty, Jayanthi Sivaswamy, Thomas Theelen, Bram van Ginneken, Clara I. Sánchez:
A Bag of Words approach for discriminating between retinal images containing exudates or drusen. ISBI 2013: 1444-1447 - [c78]Leticia Gallardo-Estrella, Bram van Ginneken, Eva M. van Rikxoort:
Normalization of CT scans reconstructed with different kernels to reduce variability in emphysema measurements. Medical Imaging: Computer-Aided Diagnosis 2013: 86700E - [c77]Mark J. J. P. van Grinsven, Yara T. E. Lechanteur, Johannes P. H. van de Ven, Bram van Ginneken, Thomas Theelen, Clara I. Sánchez:
Automatic age-related macular degeneration detection and staging. Medical Imaging: Computer-Aided Diagnosis 2013: 86700M - [c76]Pragnya Maduskar, Laurens Hogeweg, Rick Philipsen, Steven Schalekamp, Bram van Ginneken:
Improved texture analysis for automatic detection of tuberculosis (TB) on chest radiographs with bone suppression images. Medical Imaging: Computer-Aided Diagnosis 2013: 86700H - [c75]Rick H. H. M. Philipsen, Pragnya Maduskar, Laurens Hogeweg, Bram van Ginneken:
Normalization of chest radiographs. Medical Imaging: Computer-Aided Diagnosis 2013: 86700G - [c74]Pragnya Maduskar, Laurens Hogeweg, Rick Philipsen, Bram van Ginneken:
Automated localization of costophrenic recesses and costophrenic angle measurement on frontal chest radiographs. Medical Imaging: Computer-Aided Diagnosis 2013: 867038 - [c73]André van der Avoird, Ning Lin, Bram van Ginneken, Rashindra Manniesing:
A hardware implementation of a levelset algorithm for carotid lumen segmentation in CTA. Medical Imaging: Image Processing 2013: 86691V - [c72]Jan-Jurre Mordang, Marcel T. H. Oei, Rieneke van den Boom, Ewoud J. Smit, Mathias Prokop, Bram van Ginneken, Rashindra Manniesing:
A pattern recognition framework for vessel segmentation in 4D CT of the brain. Medical Imaging: Image Processing 2013: 866919 - 2012
- [c71]José Ramos, Thessa T. J. P. Kockelkorn, Bram van Ginneken, Max A. Viergever, Rui Ramos, Aurélio J. C. Campilho:
Supervised Content Based Image Retrieval Using Radiology Reports. ICIAR (2) 2012: 249-258 - [c70]Thessa T. J. P. Kockelkorn, Clara I. Sánchez, Jan C. Grutters, Rui Ramos, Pim A. de Jong, Max A. Viergever, José Ramos, Cornelia Schaefer-Prokop, Bram van Ginneken:
Interactive classification of lung tissue in CT scans by combining prior and interactively obtained training data: A simulation study. ICPR 2012: 105-108 - [c69]Sascha E. A. Muenzing, Bram van Ginneken, Josien P. W. Pluim:
DIRBoost: An algorithm for boosting deformable image registration. ISBI 2012: 1339-1342 - [c68]Jaime Melendez, Clara I. Sánchez, Rianne Hupse, Bram van Ginneken, Nico Karssemeijer:
Potential of a Standalone Computer-Aided Detection System for Breast Cancer Detection in Screening Mammography. Digital Mammography / IWDM 2012: 682-689 - [c67]Eva M. van Rikxoort, Pim A. de Jong, O. M. Mets, Bram van Ginneken:
Automatic classication of pulmonary function in COPD patients using trachea analysis in chest CT scans. Medical Imaging: Computer-Aided Diagnosis 2012: 83150P - [c66]Rieneke van den Boom, Marcel T. H. Oei, Sven Lafebre, Luuk J. Oostveen, F. J. Anton Meijer, Stefan C. A. Steens, Mathias Prokop, Bram van Ginneken, Rashindra Manniesing:
Brain tissue segmentation in 4D CT using voxel classification. Medical Imaging: Image Processing 2012: 83144B - [c65]Sascha E. A. Muenzing, Bram van Ginneken, Josien P. W. Pluim:
On Combining Algorithms for Deformable Image Registration. WBIR 2012: 256-265 - 2011
- [c64]Colin Jacobs, Clara I. Sánchez, Stefan C. Saur, Thorsten Twellmann, Pim A. de Jong, Bram van Ginneken:
Computer-Aided Detection of Ground Glass Nodules in Thoracic CT Images Using Shape, Intensity and Context Features. MICCAI (3) 2011: 207-214 - 2010
- [c63]Clara I. Sánchez, Meindert Niemeijer, Maria S. A. Suttorp-Schulten, Michael Abramoff, Bram van Ginneken:
Improving hard exudate detection in retinal images through a combination of local and contextual information. ISBI 2010: 5-8 - [c62]Bram van Ginneken:
Computer-aided diagnosis in chest imaging: how to improve performance and avoid reinventing the wheel. ISBI 2010: 274 - [c61]Eva M. van Rikxoort, Jonathan G. Goldin, Bram van Ginneken, Maya Galperin-Aizenberg, Chiayi Ni, Matthew S. Brown:
Interactively learning a patient specific K-nearest neighbor classifier based on confidence weighted samples. ISBI 2010: 556-559 - [c60]Thessa T. J. P. Kockelkorn, Eva M. van Rikxoort, Jan C. Grutters, Bram van Ginneken:
Interactive lung segmentation in ct scans with severe abnormalities. ISBI 2010: 564-567 - [c59]Evelien van Dongen, Bram van Ginneken:
Automatic segmentation of pulmonary vasculature in thoracic CT scans with local thresholding and airway wall removal. ISBI 2010: 668-671 - [c58]Pechin Lo, Bram van Ginneken, Marleen de Bruijne:
Vessel tree extraction using locally optimal paths. ISBI 2010: 680-683 - [c57]Laurens E. Hogeweg, Christian Mol, Pim A. de Jong, Bram van Ginneken:
Rib suppression in chest radiographs to improve classification of textural abnormalities. Medical Imaging: Computer-Aided Diagnosis 2010: 76240Y - [c56]Ivana Isgum, Mathias Prokop, Peter C. Jacobs, Martijn J. Gondrie, Willem P. Th. M. Mali, Max A. Viergever, Bram van Ginneken:
Automatic coronary calcium scoring in low-dose non-ECG-synchronized thoracic CT scans. Medical Imaging: Computer-Aided Diagnosis 2010: 76240M - [c55]Thessa T. J. P. Kockelkorn, Pim A. de Jong, Hester A. Gietema, Jan C. Grutters, Mathias Prokop, Bram van Ginneken:
Interactive annotation of textures in thoracic CT scans. Medical Imaging: Computer-Aided Diagnosis 2010: 76240X - [c54]Meindert Niemeijer, Bram van Ginneken, Michael D. Abràmoff:
Automatic determination of the artery vein ratio in retinal images. Medical Imaging: Computer-Aided Diagnosis 2010: 76240I - [c53]Geert J. S. Litjens, Laurens Hogeweg, Arnold M. R. Schilham, Pim A. de Jong, Max A. Viergever, Bram van Ginneken:
Simulation of Nodules and Diffuse Infiltrates in Chest Radiographs Using CT Templates. MICCAI (2) 2010: 396-403 - [c52]Clara I. Sánchez, Meindert Niemeijer, Michael D. Abràmoff, Bram van Ginneken:
Active Learning for an Efficient Training Strategy of Computer-Aided Diagnosis Systems: Application to Diabetic Retinopathy Screening. MICCAI (3) 2010: 603-610 - [c51]Laurens Hogeweg, Christian Mol, Pim A. de Jong, Rodney Dawson, Helen Ayles, Bram van Ginneken:
Fusion of Local and Global Detection Systems to Detect Tuberculosis in Chest Radiographs. MICCAI (3) 2010: 650-657 - [c50]Adriënne Mendrik, Evert-Jan Vonken, Jan-Willem Dankbaar, Mathias Prokop, Bram van Ginneken:
Noise filtering in thin-slice 4D cerebral CT perfusion scans. Medical Imaging: Image Processing 2010: 76230N - 2009
- [c49]Meindert Niemeijer, Bram van Ginneken, Michael D. Abràmoff:
Automatic classification of retinal vessels into arteries and veins. Medical Imaging: Computer-Aided Diagnosis 2009: 72601F - [c48]Clara I. Sánchez, Meindert Niemeijer, Thessa T. J. P. Kockelkorn, Michael D. Abràmoff, Bram van Ginneken:
Active learning approach for detection of hard exudates, cotton wool spots, and drusen in retinal images. Medical Imaging: Computer-Aided Diagnosis 2009: 72601I - [c47]Eva M. van Rikxoort, Mathias Prokop, Bartjan de Hoop, Max A. Viergever, Josien P. W. Pluim, Bram van Ginneken:
Automatic Segmentation of the Pulmonary Lobes from Fissures, Airways, and Lung Borders: Evaluation of Robustness against Missing Data. MICCAI (1) 2009: 263-271 - [c46]Yulia Arzhaeva, Laurens Hogeweg, Pim A. de Jong, Max A. Viergever, Bram van Ginneken:
Global and Local Multi-valued Dissimilarity-Based Classification: Application to Computer-Aided Detection of Tuberculosis. MICCAI (1) 2009: 724-731 - [c45]Sven Kabus, Tobias Klinder, Keelin Murphy, Bram van Ginneken, Cristian Lorenz, Josien P. W. Pluim:
Evaluation of 4D-CT Lung Registration. MICCAI (1) 2009: 747-754 - [c44]Adriënne Mendrik, Evert-Jan Vonken, Annet Waaijer, Ewoud J. Smit, Mathias Prokop, Bram van Ginneken:
Segmentation of arteries and veins on 4D CT perfusion scans for constructing arteriograms and venograms. Medical Imaging: Image Processing 2009: 72590Z - [c43]Sascha E. A. Muenzing, Keelin Murphy, Bram van Ginneken, Josien P. W. Pluim:
Automatic detection of registration errors for quality assessment in medical image registration. Medical Imaging: Image Processing 2009: 72590K - [c42]Meindert Niemeijer, Mona Kathryn Garvin, Kyungmoo Lee, Bram van Ginneken, Michael D. Abràmoff, Milan Sonka:
Registration of 3D spectral OCT volumes using 3D SIFT feature point matching. Medical Imaging: Image Processing 2009: 72591I - 2008
- [c41]Bram van Ginneken, Andre Tan, Keelin Murphy, Bart-Jan de Hoop, Mathias Prokop:
Automated detection of nodules attached to the pleural and mediastinal surface in low-dose CT scans. Medical Imaging: Computer-Aided Diagnosis 2008: 69150X - [c40]Bram van Ginneken, Wouter Baggerman, Eva M. van Rikxoort:
Robust Segmentation and Anatomical Labeling of the Airway Tree from Thoracic CT Scans. MICCAI (1) 2008: 219-226 - [c39]Keelin Murphy, Bram van Ginneken, Josien P. W. Pluim, Stefan Klein, Marius Staring:
Semi-automatic Reference Standard Construction for Quantitative Evaluation of Lung CT Registration. MICCAI (2) 2008: 1006-1013 - [c38]Meindert Niemeijer, Mona Kathryn Garvin, Bram van Ginneken, Milan Sonka, Michael D. Abràmoff:
Vessel segmentation in 3D spectral OCT scans of the retina. Medical Imaging: Image Processing 2008: 69141R - [c37]Eva M. van Rikxoort, Marleen de Bruijne, Bram van Ginneken:
Integrating local voxel classification and global shape models for medical image segmentation. Medical Imaging: Image Processing 2008: 69144J - [c36]Eva M. van Rikxoort, Ivana Isgum, Marius Staring, Stefan Klein, Bram van Ginneken:
Adaptive local multi-atlas segmentation: application to heart segmentation in chest CT scans. Medical Imaging: Image Processing 2008: 691407 - 2007
- [c35]Keelin Murphy, Arnold M. R. Schilham, Hester A. Gietema, Mathias Prokop, Bram van Ginneken:
Automated detection of pulmonary nodules from low-dose computed tomography scans using a two-stage classification system based on local image features. Medical Imaging: Computer-Aided Diagnosis 2007: 651410 - 2006
- [c34]Marco Loog, Bram van Ginneken:
Bony Structure Suppression in Chest Radiographs. CVAMIA 2006: 166-177 - [c33]Yulia Arzhaeva, Bram van Ginneken, David M. J. Tax:
Image Classification from Generalized Image Distance Features: Application to Detection of Interstitial Disease in Chest Radiographs. ICPR (1) 2006: 367-370 - [c32]Bram van Ginneken, Adriënne Mendrik:
Image Denoising with k-nearest Neighbor and Support Vector Regression. ICPR (3) 2006: 603-606 - [c31]M. A. J. Klik, Eva M. van Rikxoort, J. F. Peters, H. A. Gietema, Mathias Prokop, Bram van Ginneken:
Improved classification of pulmonary nodules by automated detection of benign subpleural lymph nodes. ISBI 2006: 494-497 - [c30]Adriënne Mendrik, Evert-Jan Vonken, Arnold M. R. Schilham, Max A. Viergever, Bram van Ginneken:
Hybrid diffusion compared with existing diffusion schemes on simulated low dose CT scans. ISBI 2006: 1008-1011 - [c29]Bram van Ginneken:
Supervised Probabilistic Segmentation of Pulmonary Nodules in CT Scans. MICCAI (2) 2006: 912-919 - [c28]Eva M. van Rikxoort, Bram van Ginneken:
A pattern recognition approach to enhancing structures in 3D CT data. Medical Imaging: Image Processing 2006: 61441O - [c27]Arnold M. R. Schilham, Bram van Ginneken:
Simulating nodules in chest radiographs with real nodules from multi-slice CT images. Medical Imaging: Image Processing 2006: 614456 - [c26]Yulia Arzhaeva, David M. J. Tax, Bram van Ginneken:
Improving computer-aided diagnosis of interstitial disease in chest radiographs by combining one-class and two-class classifiers. Medical Imaging: Image Processing 2006: 614458 - 2005
- [c25]Meindert Niemeijer, Bram van Ginneken, Michael D. Abràmoff:
Automatic Detection of the Optic Disc, Fovea and Vacular Arch in Digital Color Photographs of the Retina. BMVC 2005 - [c24]Arnold M. R. Schilham, Mathias Prokop, Hester A. Gietema, Bram van Ginneken:
Local noise reduction for emphysema scoring in low-dose CT images. Medical Imaging: Image Processing 2005 - 2004
- [c23]Joes Staal, Bram van Ginneken, Max A. Viergever:
Automatic Rib Segmentation in CT Data. ECCV Workshops CVAMIA and MMBIA 2004: 193-204 - [c22]Marco Loog, Bram van Ginneken, Robert P. W. Duin:
Dimensionality Reduction by Canonical Contextual Correlation Projections. ECCV (1) 2004: 562-573 - [c21]Marco Loog, Bram van Ginneken:
Static Posterior Probability Fusion for Signal Detection: Applications in the Detection of Interstitial Diseases in Chest Radiographs. ICPR (1) 2004: 644-647 - [c20]Bram van Ginneken, Marco Loog:
Pixel Position Regression - Application to Medical Image Segmentation. ICPR (3) 2004: 718-721 - [c19]Ivana Isgum, Bram van Ginneken, Mathias Prokop:
A Pattern Recognition Approach to Automated Coronary Calcium Scoring. ICPR (3) 2004: 746-749 - [c18]Meindert Niemeijer, Joes Staal, Bram van Ginneken, Marco Loog, Michael D. Abràmoff:
Comparative study of retinal vessel segmentation methods on a new publicly available database. Medical Imaging: Image Processing 2004 - [c17]Ingrid C. Sluimer, Meindert Niemeijer, Bram van Ginneken:
Lung field segmentation from thin-slice CT scans in presence of severe pathology. Medical Imaging: Image Processing 2004 - 2003
- [c16]Ivana Isgum, Bram van Ginneken, Max A. Viergever:
Automatic detection of calcifications in the aorta from abdominal CT scans. CARS 2003: 1037-1042 - [c15]Marleen de Bruijne, Bram van Ginneken, Max A. Viergever, Wiro J. Niessen:
Adapting Active Shape Models for 3D Segmentation of Tubular Structures in Medical Images. IPMI 2003: 136-147 - [c14]Marleen de Bruijne, Bram van Ginneken, Lambertus W. Bartels, Maarten J. van der Laan, Jan D. Blankensteijn, Wiro J. Niessen, Max A. Viergever:
Automated Segmentation of Abdominal Aortic Aneurysms in Multi-spectral MR Images. MICCAI (2) 2003: 538-545 - [c13]Arnold M. R. Schilham, Bram van Ginneken, Marco Loog:
Multi-scale Nodule Detection in Chest Radiographs. MICCAI (1) 2003: 602-609 - [c12]Marleen de Bruijne, Bram van Ginneken, Wiro J. Niessen, Marco Loog, Max A. Viergever:
Model-based segmentation of abdominal aortic aneurysms in CTA images. Medical Imaging: Image Processing 2003 - [c11]Bram van Ginneken, Marleen de Bruijne, Marco Loog, Max A. Viergever:
Interactive shape models. Medical Imaging: Image Processing 2003 - [c10]Marco Loog, Bram van Ginneken, Max A. Viergever:
Segmenting the posterior ribs in chest radiographs by iterated contextual pixel classification. Medical Imaging: Image Processing 2003 - [c9]Meindert Niemeijer, Bram van Ginneken, Casper A. Maas, Frederik J. A. Beek, Max A. Viergever:
Assessing the skeletal age from a hand radiograph: automating the Tanner-Whitehouse method. Medical Imaging: Image Processing 2003 - 2002
- [c8]Marco Loog, Bram van Ginneken:
Supervised Segmentation by Iterated Contextual Pixel Classification. ICPR (2) 2002: 925-928 - [c7]Joes Staal, Stiliyan Kalitzin, Michael D. Abràmoff, Tos Berendschot, Bram van Ginneken, Max A. Viergever:
Classifying convex sets for vessel detection in retinal images. ISBI 2002: 269-272 - [c6]Marleen de Bruijne, Bram van Ginneken, Wiro J. Niessen, J. B. Antoine Maintz, Max A. Viergever:
Active-shape-model-based segmentation of abdominal aortic aneurysms in CTA images. Medical Imaging: Image Processing 2002 - 2000
- [c5]Bram van Ginneken, Bart M. ter Haar Romeny:
Automatic delineation of ribs in frontal chest radiographs. Medical Imaging: Image Processing 2000 - 1999
- [c4]Bram van Ginneken, Bart M. ter Haar Romeny:
Automatic Segmentation of Lung Fields in Chest Radiographs. MICCAI 1999: 184-191 - [c3]Bram van Ginneken, Bart M. ter Haar Romeny:
Applications of Locally Orderless Images. Scale-Space 1999: 10-21 - 1997
- [c2]Kristin J. Dana, Shree K. Nayar, Bram van Ginneken, Jan J. Koenderink:
Reflectance and Texture of Real-World Surfaces Authors. CVPR 1997: 151-157 - 1996
- [c1]Frederic F. Leymarie, Arnaud de La Fortelle, Jan J. Koenderink, Astrid M. L. Kappers, Marigo Stavridi, Bram van Ginneken, Stefan Müller, S. Krake, Olivier D. Faugeras, Luc Robert, Cyrille Gauclin, Stéphane Laveau, Cyril Zeller:
REALISE: reconstruction of REALity from Image SEquences. ICIP (3) 1996: 651-654
Editorship
- 2012
- [e2]Bram van Ginneken, Carol L. Novak:
Medical Imaging 2012: Computer-Aided Diagnosis, San Diego, California, United States, 4-9 February 2012. SPIE Proceedings 8315, SPIE 2012, ISBN 9780819489647 [contents] - 2011
- [e1]Ronald M. Summers, Bram van Ginneken:
Medical Imaging 2011: Computer-Aided Diagnosis, Lake Buena Vista (Orlando), Florida, United States, 12-17 February 2011. SPIE Proceedings 7963, SPIE 2011, ISBN 9780819485052 [contents]
Informal and Other Publications
- 2024
- [i58]Ecem Sogancioglu, Bram van Ginneken, Finn Behrendt, Marcel Bengs, Alexander Schlaefer, Miron Radu, Di Xu, Ke Sheng, Fabien Scalzo, Eric Marcus, Samuele Papa, Jonas Teuwen, Ernst Th. Scholten, Steven Schalekamp, Nils Hendrix, Colin Jacobs, Ward Hendrix, Clara I. Sánchez, Keelin Murphy:
Nodule detection and generation on chest X-rays: NODE21 Challenge. CoRR abs/2401.02192 (2024) - 2023
- [i57]Coen de Vente, Koenraad A. Vermeer, Nicolas Jaccard, He Wang, Hongyi Sun, Firas Khader, Daniel Truhn, Temirgali Aimyshev, Yerkebulan Zhanibekuly, Tien-Dung Le, Adrian Galdran, Miguel Ángel González Ballester, Gustavo Carneiro, Devika R. G, Hrishikesh P. S, Densen Puthussery, Hong Liu, Zekang Yang, Satoshi Kondo, Satoshi Kasai, Edward Wang, Ashritha Durvasula, Jónathan Heras, Miguel Ángel Zapata, Teresa Araújo, Guilherme Aresta, Hrvoje Bogunovic, Mustafa Arikan, Yeong Chan Lee, Hyun Bin Cho, Yoon Ho Choi, Abdul Qayyum, Imran Razzak, Bram van Ginneken, Hans G. Lemij, Clara I. Sánchez:
AIROGS: Artificial Intelligence for RObust Glaucoma Screening Challenge. CoRR abs/2302.01738 (2023) - [i56]Annika Reinke, Minu Tizabi, Michael Baumgartner, Matthias Eisenmann, Doreen Heckmann-Nötzel, A. Emre Kavur, Tim Rädsch, Carole H. Sudre, Laura Ación, Michela Antonelli, Tal Arbel, Spyridon Bakas, Arriel Benis, Matthew B. Blaschko, Florian Büttner, M. Jorge Cardoso, Veronika Cheplygina, Jianxu Chen, Evangelia Christodoulou, Beth A. Cimini, Gary S. Collins, Keyvan Farahani, Luciana Ferrer, Adrian Galdran, Bram van Ginneken, Ben Glocker, Patrick Godau, Robert Haase, Daniel A. Hashimoto, Michael M. Hoffman, Merel Huisman, Fabian Isensee, Pierre Jannin, Charles E. Kahn, Dagmar Kainmueller, Bernhard Kainz, Alexandros Karargyris, Alan Karthikesalingam, Hannes Kenngott, Jens Kleesiek, Florian Kofler, Thijs Kooi, Annette Kopp-Schneider, Michal Kozubek, Anna Kreshuk, Tahsin M. Kurç, Bennett A. Landman, Geert Litjens, Amin Madani, Klaus H. Maier-Hein, Anne L. Martel, Peter Mattson, Erik Meijering, Bjoern H. Menze, Karel G. M. Moons, Henning Müller, Brennan Nichyporuk, Felix Nickel, Jens Petersen, Susanne M. Rafelski, Nasir M. Rajpoot, Mauricio Reyes, Michael A. Riegler, Nicola Rieke, Julio Saez-Rodriguez, Clara I. Sánchez, Shravya Shetty, Maarten van Smeden, Ronald M. Summers, Abdel A. Taha, Aleksei Tiulpin, Sotirios A. Tsaftaris, Ben Van Calster, Gaël Varoquaux, Manuel Wiesenfarth, Ziv R. Yaniv, Paul F. Jäger, Lena Maier-Hein:
Understanding metric-related pitfalls in image analysis validation. CoRR abs/2302.01790 (2023) - [i55]Luuk H. Boulogne, Julian Lorenz, Daniel Kienzle, Robin Schön, Katja Ludwig, Rainer Lienhart, Simon Jegou, Guang Li, Cong Chen, Qi Wang, Derik Shi, Mayug Maniparambil, Dominik Müller, Silvan Mertes, Niklas Schröter, Fabio Hellmann, Miriam Elia, Ine Dirks, Matías Nicolás Bossa, Abel Díaz Berenguer, Tanmoy Mukherjee, Jef Vandemeulebroucke, Hichem Sahli, Nikos Deligiannis, Panagiotis Gonidakis, Ngoc Dung Huynh, Imran Razzak, Mohamed Reda Bouadjenek, Mario Verdicchio, Pasquale Borrelli, Marco Aiello, James A. Meakin, Alexander Lemm, Christoph Russ, Razvan Ionasec, Nikos Paragios, Bram van Ginneken, Marie-Pierre Revel Dubois:
The STOIC2021 COVID-19 AI challenge: applying reusable training methodologies to private data. CoRR abs/2306.10484 (2023) - [i54]Jasper W. van der Graaf, Miranda L. van Hooff, Constantinus F. M. Buckens, Matthieu Rutten, Job L. C. van Susante, Robert Jan Kroeze, Marinus de Kleuver, Bram van Ginneken, Nikolas Lessmann:
Lumbar spine segmentation in MR images: a dataset and a public benchmark. CoRR abs/2306.12217 (2023) - [i53]Weiyi Xie, Colin Jacobs, Jean-Paul Charbonnier, Dirk Jan Slebos, Bram van Ginneken:
Emphysema Subtyping on Thoracic Computed Tomography Scans using Deep Neural Networks. CoRR abs/2309.02576 (2023) - [i52]Gabriel Efrain Humpire Mamani, Nikolas Lessmann, Ernst Th. Scholten, Mathias Prokop, Colin Jacobs, Bram van Ginneken:
Kidney abnormality segmentation in thorax-abdomen CT scans. CoRR abs/2309.03383 (2023) - [i51]Gabriel Efrain Humpire Mamani, Colin Jacobs, Mathias Prokop, Bram van Ginneken, Nikolas Lessmann:
Transfer learning from a sparsely annotated dataset of 3D medical images. CoRR abs/2311.05032 (2023) - 2022
- [i50]Weiyi Xie, Colin Jacobs, Jean-Paul Charbonnier, Bram van Ginneken:
Structure and position-aware graph neural network for airway labeling. CoRR abs/2201.04532 (2022) - [i49]Lena Maier-Hein, Annika Reinke, Evangelia Christodoulou, Ben Glocker, Patrick Godau, Fabian Isensee, Jens Kleesiek, Michal Kozubek, Mauricio Reyes, Michael A. Riegler, Manuel Wiesenfarth, Michael Baumgartner, Matthias Eisenmann, Doreen Heckmann-Nötzel, A. Emre Kavur, Tim Rädsch, Minu Dietlinde Tizabi, Laura Ación, Michela Antonelli, Tal Arbel, Spyridon Bakas, Peter Bankhead, Arriel Benis, M. Jorge Cardoso, Veronika Cheplygina, Beth A. Cimini, Gary S. Collins, Keyvan Farahani, Bram van Ginneken, Daniel A. Hashimoto, Michael M. Hoffman, Merel Huisman, Pierre Jannin, Charles E. Kahn, Alexandros Karargyris, Alan Karthikesalingam, Hannes Kenngott, Annette Kopp-Schneider, Anna Kreshuk, Tahsin M. Kurç, Bennett A. Landman, Geert Litjens, Amin Madani, Klaus H. Maier-Hein, Anne L. Martel, Peter Mattson, Erik Meijering, Bjoern H. Menze, David Moher, Karel G. M. Moons, Henning Müller, Felix Nickel, Brennan Nichyporuk, Jens Petersen, Nasir M. Rajpoot, Nicola Rieke, Julio Saez-Rodriguez, Clarisa Sánchez Gutiérrez, Shravya Shetty, Maarten van Smeden, Carole H. Sudre, Ronald M. Summers, Abdel A. Taha, Sotirios A. Tsaftaris, Ben Van Calster, Gaël Varoquaux, Paul F. Jäger:
Metrics reloaded: Pitfalls and recommendations for image analysis validation. CoRR abs/2206.01653 (2022) - [i48]Péter Bándi, Maschenka Balkenhol, Marcory Van Dijk, Bram van Ginneken, Jeroen van der Laak, Geert Litjens:
Domain adaptation strategies for cancer-independent detection of lymph node metastases. CoRR abs/2207.06193 (2022) - 2021
- [i47]Khrystyna Faryna, Kevin Koschmieder, Marcella M. Paul, Thomas L. A. van den Heuvel, Anke W. van der Eerden, Rashindra Manniesing, Bram van Ginneken:
Adversarial cycle-consistent synthesis of cerebral microbleeds for data augmentation. CoRR abs/2101.06468 (2021) - [i46]Ecem Sogancioglu, Erdi Çalli, Bram van Ginneken, Kicky G. van Leeuwen, Keelin Murphy:
Deep Learning for Chest X-ray Analysis: A Survey. CoRR abs/2103.08700 (2021) - [i45]Erdi Çalli, Keelin Murphy, Steef Kurstjens, Tijs Samson, Robert Herpers, Henk Smits, Matthieu Rutten, Bram van Ginneken:
Deep Learning with robustness to missing data: A novel approach to the detection of COVID-19. CoRR abs/2103.13833 (2021) - [i44]Annika Reinke, Matthias Eisenmann, Minu Dietlinde Tizabi, Carole H. Sudre, Tim Rädsch, Michela Antonelli, Tal Arbel, Spyridon Bakas, M. Jorge Cardoso, Veronika Cheplygina, Keyvan Farahani, Ben Glocker, Doreen Heckmann-Nötzel, Fabian Isensee, Pierre Jannin, Charles E. Kahn, Jens Kleesiek, Tahsin M. Kurç, Michal Kozubek, Bennett A. Landman, Geert Litjens, Klaus H. Maier-Hein, Bjoern H. Menze, Henning Müller, Jens Petersen, Mauricio Reyes, Nicola Rieke, Bram Stieltjes, Ronald M. Summers, Sotirios A. Tsaftaris, Bram van Ginneken, Annette Kopp-Schneider, Paul Jäger, Lena Maier-Hein:
Common Limitations of Image Processing Metrics: A Picture Story. CoRR abs/2104.05642 (2021) - [i43]Ecem Sogancioglu, Keelin Murphy, Ernst Th. Scholten, Luuk H. Boulogne, Mathias Prokop, Bram van Ginneken:
Automated Estimation of Total Lung Volume using Chest Radiographs and Deep Learning. CoRR abs/2105.01181 (2021) - [i42]Weiyi Xie, Colin Jacobs, Bram van Ginneken:
Dense Regression Activation Maps For Lesion Segmentation in CT scans of COVID-19 patients. CoRR abs/2105.11748 (2021) - [i41]Weiyi Xie, Colin Jacobs, Bram van Ginneken:
Deep Clustering Activation Maps for Emphysema Subtyping. CoRR abs/2106.01351 (2021) - [i40]Michela Antonelli, Annika Reinke, Spyridon Bakas, Keyvan Farahani, Annette Kopp-Schneider, Bennett A. Landman, Geert Litjens, Bjoern H. Menze, Olaf Ronneberger, Ronald M. Summers, Bram van Ginneken, Michel Bilello, Patrick Bilic, Patrick Ferdinand Christ, Richard K. G. Do, Marc Gollub, Stephan Heckers, Henkjan J. Huisman, William R. Jarnagin, Maureen McHugo, Sandy Napel, Jennifer Goli-Pernicka, Kawal S. Rhode, Catalina Tobon-Gomez, Eugene Vorontsov, James A. Meakin, Sébastien Ourselin, Manuel Wiesenfarth, Pablo Arbeláez, Byeonguk Bae, Sihong Chen, Laura Alexandra Daza, Jianjiang Feng, Baochun He, Fabian Isensee, Yuanfeng Ji, Fucang Jia, Namkug Kim, Ildoo Kim, Dorit Merhof, Akshay Pai, BeomHee Park, Mathias Perslev, Ramin Rezaiifar, Oliver Rippel, Ignacio Sarasua, Wei Shen, Jaemin Son, Christian Wachinger, Liansheng Wang, Yan Wang, Yingda Xia, Daguang Xu, Zhanwei Xu, Yefeng Zheng, Amber L. Simpson, Lena Maier-Hein, M. Jorge Cardoso:
The Medical Segmentation Decathlon. CoRR abs/2106.05735 (2021) - [i39]Grzegorz Chlebus, Andrea Schenk, Horst K. Hahn, Bram van Ginneken, Hans Meine:
Robust Segmentation Models using an Uncertainty Slice Sampling Based Annotation Workflow. CoRR abs/2109.14879 (2021) - [i38]Alessa Hering, Lasse Hansen, Tony C. W. Mok, Albert C. S. Chung, Hanna Siebert, Stephanie Häger, Annkristin Lange, Sven Kuckertz, Stefan Heldmann, Wei Shao, Sulaiman Vesal, Mirabela Rusu, Geoffrey A. Sonn, Théo Estienne, Maria Vakalopoulou, Luyi Han, Yunzhi Huang, Mikael Brudfors, Yaël Balbastre, Samuel Joutard, Marc Modat, Gal Lifshitz, Dan Raviv, Jinxin Lv, Qiang Li, Vincent Jaouen, Dimitris Visvikis, Constance Fourcade, Mathieu Rubeaux, Wentao Pan, Zhe Xu, Bailiang Jian, Francesca De Benetti, Marek Wodzinski, Niklas Gunnarsson, Huaqi Qiu, Zeju Li, Christoph Großbröhmer, Andrew Hoopes, Ingerid Reinertsen, Yiming Xiao, Bennett A. Landman, Yuankai Huo, Keelin Murphy, Bram van Ginneken, Adrian V. Dalca, Mattias P. Heinrich:
Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning. CoRR abs/2112.04489 (2021) - 2020
- [i37]Nikolas Lessmann, Bram van Ginneken:
Random smooth gray value transformations for cross modality learning with gray value invariant networks. CoRR abs/2003.06158 (2020) - [i36]Weiyi Xie, Colin Jacobs, Jean-Paul Charbonnier, Bram van Ginneken:
Contextual Two-Stage U-Nets for Robust Pulmonary Lobe Segmentation in CT Scans of COVID-19 and COPD Patients. CoRR abs/2004.07443 (2020) - [i35]Suzanne C. Wetstein, Cristina González-Gonzalo, Gerda Bortsova, Bart Liefers, Florian Dubost, Ioannis Katramados, Laurens Hogeweg, Bram van Ginneken, Josien P. W. Pluim, Marleen de Bruijne, Clara I. Sánchez, Mitko Veta:
Adversarial Attack Vulnerability of Medical Image Analysis Systems: Unexplored Factors. CoRR abs/2006.06356 (2020) - [i34]S. Kevin Zhou, Hayit Greenspan, Christos Davatzikos, James S. Duncan, Bram van Ginneken, Anant Madabhushi, Jerry L. Prince, Daniel Rueckert, Ronald M. Summers:
A review of deep learning in medical imaging: Image traits, technology trends, case studies with progress highlights, and future promises. CoRR abs/2008.09104 (2020) - [i33]Coen de Vente, Luuk H. Boulogne, Kiran Vaidhya Venkadesh, Cheryl Sital, Nikolas Lessmann, Colin Jacobs, Clara I. Sánchez, Bram van Ginneken:
Improving Automated COVID-19 Grading with Convolutional Neural Networks in Computed Tomography Scans: An Ablation Study. CoRR abs/2009.09725 (2020) - [i32]Anneke Meyer, Grzegorz Chlebus, Marko Rak, Daniel Schindele, Martin Schostak, Bram van Ginneken, Andrea Schenk, Hans Meine, Horst K. Hahn, Andreas Schreiber, Christian Hansen:
Anisotropic 3D Multi-Stream CNN for Accurate Prostate Segmentation from Multi-Planar MRI. CoRR abs/2009.11120 (2020) - [i31]Alessa Hering, Stephanie Häger, Jan Hendrik Moltz, Nikolas Lessmann, Stefan Heldmann, Bram van Ginneken:
Constraining Volume Change in Learned Image Registration for Lung CTs. CoRR abs/2011.14372 (2020) - 2019
- [i30]Patrick Bilic, Patrick Ferdinand Christ, Eugene Vorontsov, Grzegorz Chlebus, Hao Chen, Qi Dou, Chi-Wing Fu, Xiao Han, Pheng-Ann Heng, Jürgen Hesser, Samuel Kadoury, Tomasz K. Konopczynski, Miao Le, Chunming Li, Xiaomeng Li, Jana Lipková, John S. Lowengrub, Hans Meine, Jan Hendrik Moltz, Chris Pal, Marie Piraud, Xiaojuan Qi, Jin Qi, Markus Rempfler, Karsten Roth, Andrea Schenk, Anjany Sekuboyina, Ping Zhou, Christian Hülsemeyer, Marcel Beetz, Florian Ettlinger, Felix Grün, Georgios Kaissis, Fabian Lohöfer, Rickmer Braren, Julian Holch, Felix Hofmann, Wieland H. Sommer, Volker Heinemann, Colin Jacobs, Gabriel Efrain Humpire Mamani, Bram van Ginneken, Gabriel Chartrand, An Tang, Michal Drozdzal, Avi Ben-Cohen, Eyal Klang, Michal Marianne Amitai, Eli Konen, Hayit Greenspan, Johan Moreau, Alexandre Hostettler, Luc Soler, Refael Vivanti, Adi Szeskin, Naama Lev-Cohain, Jacob Sosna, Leo Joskowicz, Bjoern H. Menze:
The Liver Tumor Segmentation Benchmark (LiTS). CoRR abs/1901.04056 (2019) - [i29]Amber L. Simpson, Michela Antonelli, Spyridon Bakas, Michel Bilello, Keyvan Farahani, Bram van Ginneken, Annette Kopp-Schneider, Bennett A. Landman, Geert Litjens, Bjoern H. Menze, Olaf Ronneberger, Ronald M. Summers, Patrick Bilic, Patrick Ferdinand Christ, Richard K. G. Do, Marc Gollub, Jennifer Golia-Pernicka, Stephan Heckers, William R. Jarnagin, Maureen McHugo, Sandy Napel, Eugene Vorontsov, Lena Maier-Hein, M. Jorge Cardoso:
A large annotated medical image dataset for the development and evaluation of segmentation algorithms. CoRR abs/1902.09063 (2019) - [i28]Keelin Murphy, Shifa Salman Habib, Syed Mohammad Asad Zaidi, Saira Khowaja, Aamir Khan, Jaime Melendez, Ernst Th. Scholten, Farhan Amad, Steven Schalekamp, Maurits Verhagen, Rick H. H. M. Philipsen, Annet Meijers, Bram van Ginneken:
Computer aided detection of tuberculosis on chest radiographs: An evaluation of the CAD4TB v6 system. CoRR abs/1903.03349 (2019) - [i27]Cristina González-Gonzalo, Verónica Sánchez-Gutiérrez, Paula Hernández-Martínez, Inés Contreras, Yara T. E. Lechanteur, Artin Domanian, Bram van Ginneken, Clara I. Sánchez:
Evaluation of a deep learning system for the joint automated detection of diabetic retinopathy and age-related macular degeneration. CoRR abs/1903.09555 (2019) - [i26]Erdi Çalli, Keelin Murphy, Ecem Sogancioglu, Bram van Ginneken:
FRODO: Free rejection of out-of-distribution samples: application to chest x-ray analysis. CoRR abs/1907.01253 (2019) - [i25]Wouter Bulten, Hans Pinckaers, Hester van Boven, Robert Vink, Thomas de Bel, Bram van Ginneken, Jeroen van der Laak, Christina A. Hulsbergen van de Kaa, Geert Litjens:
Automated Gleason Grading of Prostate Biopsies using Deep Learning. CoRR abs/1907.07980 (2019) - [i24]Bart Liefers, Johanna M. Colijn, Cristina González-Gonzalo, Timo Verzijden, Paul Mitchell, Carel B. Hoyng, Bram van Ginneken, Caroline C. W. Klaver, Clara I. Sánchez:
A deep learning model for segmentation of geographic atrophy to study its long-term natural history. CoRR abs/1908.05621 (2019) - [i23]Alessa Hering, Bram van Ginneken, Stefan Heldmann:
mlVIRNET: Multilevel Variational Image Registration Network. CoRR abs/1909.10084 (2019) - [i22]Max Argus, Cornelia Schaefer-Prokop, David A. Lynch, Bram van Ginneken:
Function Follows Form: Regression from Complete Thoracic Computed Tomography Scans. CoRR abs/1909.12047 (2019) - [i21]Lena Maier-Hein, Annika Reinke, Michal Kozubek, Anne L. Martel, Tal Arbel, Matthias Eisenmann, Allan Hanbury, Pierre Jannin, Henning Müller, Sinan Onogur, Julio Saez-Rodriguez, Bram van Ginneken, Annette Kopp-Schneider, Bennett A. Landman:
BIAS: Transparent reporting of biomedical image analysis challenges. CoRR abs/1910.04071 (2019) - [i20]Cristina González-Gonzalo, Bart Liefers, Bram van Ginneken, Clara I. Sánchez:
Iterative augmentation of visual evidence for weakly-supervised lesion localization in deep interpretability frameworks. CoRR abs/1910.07373 (2019) - [i19]Hans Pinckaers, Bram van Ginneken, Geert Litjens:
Streaming convolutional neural networks for end-to-end learning with multi-megapixel images. CoRR abs/1911.04432 (2019) - 2018
- [i18]Mohsen Ghafoorian, Jonas Teuwen, Rashindra Manniesing, Frank-Erik de Leeuw, Bram van Ginneken, Nico Karssemeijer, Bram Platel:
Student Beats the Teacher: Deep Neural Networks for Lateral Ventricles Segmentation in Brain MR. CoRR abs/1801.05040 (2018) - [i17]Nikolas Leßmann, Bram van Ginneken, Pim A. de Jong, Ivana Isgum:
Iterative fully convolutional neural networks for automatic vertebra segmentation. CoRR abs/1804.04383 (2018) - [i16]Lena Maier-Hein, Matthias Eisenmann, Annika Reinke, Sinan Onogur, Marko Stankovic, Patrick Scholz, Tal Arbel, Hrvoje Bogunovic, Andrew P. Bradley, Aaron Carass, Carolin Feldmann, Alejandro F. Frangi, Peter M. Full, Bram van Ginneken, Allan Hanbury, Katrin Honauer, Michal Kozubek, Bennett A. Landman, Keno März, Oskar Maier, Klaus H. Maier-Hein, Bjoern H. Menze, Henning Müller, Peter F. Neher, Wiro J. Niessen, Nasir M. Rajpoot, Gregory C. Sharp, Korsuk Sirinukunwattana, Stefanie Speidel, Christian Stock, Danail Stoyanov, Abdel Aziz Taha, Fons van der Sommen, Ching-Wei Wang, Marc-André Weber, Guoyan Zheng, Pierre Jannin, Annette Kopp-Schneider:
Is the winner really the best? A critical analysis of common research practice in biomedical image analysis competitions. CoRR abs/1806.02051 (2018) - [i15]Wouter Bulten, Péter Bándi, Jeffrey Hoven, Rob van de Loo, Johannes Lotz, Nick Weiss, Jeroen van der Laak, Bram van Ginneken, Christina A. Hulsbergen van de Kaa, Geert Litjens:
Epithelium segmentation using deep learning in H&E-stained prostate specimens with immunohistochemistry as reference standard. CoRR abs/1808.05883 (2018) - [i14]Ecem Sogancioglu, Shi Hu, Davide Belli, Bram van Ginneken:
Chest X-ray Inpainting with Deep Generative Models. CoRR abs/1809.01471 (2018) - [i13]Salome Kazeminia, Christoph Baur, Arjan Kuijper, Bram van Ginneken, Nassir Navab, Shadi Albarqouni, Anirban Mukhopadhyay:
GANs for Medical Image Analysis. CoRR abs/1809.06222 (2018) - [i12]Guilherme Aresta, Colin Jacobs, Teresa Araújo, António Cunha, Isabel Ramos, Bram van Ginneken, Aurélio Campilho:
iW-Net: an automatic and minimalistic interactive lung nodule segmentation deep network. CoRR abs/1811.12789 (2018) - [i11]Davide Belli, Shi Hu, Ecem Sogancioglu, Bram van Ginneken:
Chest X-Rays Image Inpainting with Context Encoders. CoRR abs/1812.00964 (2018) - 2017
- [i10]Geert Litjens, Thijs Kooi, Babak Ehteshami Bejnordi, Arnaud Arindra Adiyoso Setio, Francesco Ciompi, Mohsen Ghafoorian, Jeroen A. W. M. van der Laak, Bram van Ginneken, Clara I. Sánchez:
A Survey on Deep Learning in Medical Image Analysis. CoRR abs/1702.05747 (2017) - [i9]Francesco Ciompi, Oscar Geessink, Babak Ehteshami Bejnordi, Gabriel Silva de Souza, Alexi Baidoshvili, Geert Litjens, Bram van Ginneken, Iris Nagtegaal, Jeroen van der Laak:
The importance of stain normalization in colorectal tissue classification with convolutional networks. CoRR abs/1702.05931 (2017) - [i8]Mohsen Ghafoorian, Alireza Mehrtash, Tina Kapur, Nico Karssemeijer, Elena Marchiori, Mehran Pesteie, Charles R. G. Guttmann, Frank-Erik de Leeuw, Clare M. Tempany, Bram van Ginneken, Andriy Fedorov, Purang Abolmaesumi, Bram Platel, William M. Wells III:
Transfer Learning for Domain Adaptation in MRI: Application in Brain Lesion Segmentation. CoRR abs/1702.07841 (2017) - [i7]Péter Bándi, Rob van de Loo, Milad Intezar, Daan Geijs, Francesco Ciompi, Bram van Ginneken, Jeroen van der Laak, Geert Litjens:
Comparison of Different Methods for Tissue Segmentation in Histopathological Whole-Slide Images. CoRR abs/1703.05990 (2017) - [i6]Babak Ehteshami Bejnordi, Guido C. A. Zuidhof, Maschenka Balkenhol, Meyke Hermsen, Peter Bult, Bram van Ginneken, Nico Karssemeijer, Geert Litjens, Jeroen van der Laak:
Context-aware stacked convolutional neural networks for classification of breast carcinomas in whole-slide histopathology images. CoRR abs/1705.03678 (2017) - [i5]Nikolas Leßmann, Bram van Ginneken, Majd Zreik, Pim A. de Jong, Bob D. de Vos, Max A. Viergever, Ivana Isgum:
Automatic calcium scoring in low-dose chest CT using deep neural networks with dilated convolutions. CoRR abs/1711.00349 (2017) - 2016
- [i4]Mohsen Ghafoorian, Nico Karssemeijer, Tom Heskes, Inge van Uden, Clara I. Sánchez, Geert Litjens, Frank-Erik de Leeuw, Bram van Ginneken, Elena Marchiori, Bram Platel:
Location Sensitive Deep Convolutional Neural Networks for Segmentation of White Matter Hyperintensities. CoRR abs/1610.04834 (2016) - [i3]Mohsen Ghafoorian, Nico Karssemeijer, Tom Heskes, Mayra Bergkamp, Joost Wissink, Jiri Obels, Karlijn Keizer, Frank-Erik de Leeuw, Bram van Ginneken, Elena Marchiori, Bram Platel:
Deep Multi-scale Location-aware 3D Convolutional Neural Networks for Automated Detection of Lacunes of Presumed Vascular Origin. CoRR abs/1610.07442 (2016) - [i2]Francesco Ciompi, Kaman Chung, Sarah J. van Riel, Arnaud Arindra Adiyoso Setio, Paul K. Gerke, Colin Jacobs, Ernst Th. Scholten, Cornelia Schaefer-Prokop, Mathilde M. W. Wille, Alfonso Marchiano, Ugo Pastorino, Mathias Prokop, Bram van Ginneken:
Towards automatic pulmonary nodule management in lung cancer screening with deep learning. CoRR abs/1610.09157 (2016) - [i1]Arnaud Arindra Adiyoso Setio, Alberto Traverso, Thomas de Bel, Moira S. N. Berens, Cas van den Bogaard, Piergiorgio Cerello, Hao Chen, Qi Dou, Maria Evelina Fantacci, Bram Geurts, Robbert van der Gugten, Pheng-Ann Heng, Bart Jansen, Michael M. J. de Kaste, Valentin Kotov, Jack Yu-Hung Lin, Jeroen T. M. C. Manders, Alexander Sónora-Mengana, Juan Carlos García-Naranjo, Mathias Prokop, Marco Saletta, Cornelia Schaefer-Prokop, Ernst Th. Scholten, Luuk Scholten, Miranda M. Snoeren, Ernesto Lopez Torres, Jef Vandemeulebroucke, Nicole Walasek, Guido C. A. Zuidhof, Bram van Ginneken, Colin Jacobs:
Validation, comparison, and combination of algorithms for automatic detection of pulmonary nodules in computed tomography images: the LUNA16 challenge. CoRR abs/1612.08012 (2016)
Coauthor Index
Michael D. Abràmoff
aka: Michael Abramoff
aka: Michael Abramoff
Laurens Hogeweg
aka: Laurens E. Hogeweg
aka: Laurens E. Hogeweg
Jeroen van der Laak
aka: Jeroen A. W. M. van der Laak
aka: Jeroen A. W. M. van der Laak
Nikolas Leßmann
aka: Nikolas Lessmann
aka: Nikolas Lessmann
Geert Litjens 0001
aka: Geert J. S. Litjens
aka: Geert J. S. Litjens
Rick H. H. M. Philipsen
aka: Rick Philipsen
aka: Rick Philipsen
Arnaud A. A. Setio
aka: Arnaud Arindra Adiyoso Setio
aka: Arnaud Arindra Adiyoso Setio
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