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- affiliation: Radboud University, Medical Center, Nijmegen, The Netherlands
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2020 – today
- 2023
[j90]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)- [j89]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) - [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) - [c104]Koen Dercksen, Arjen P. de Vries, Bram van Ginneken:
SimpleRad: Patient-Friendly Dutch Radiology Reports. ECIR (3) 2023: 224-229 - [i52]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) - [i51]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) - 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) - [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
- [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) - [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 Arbelaez, 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
- [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) - [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)
2010 – 2019
- 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) - [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 - [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
- [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) - [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 - [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
- [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) - [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 - [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
- [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]