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2020 – today
- 2025
[j14]Dre Peeters, Kiran Vaidhya Venkadesh
, Renate Dinnessen, Zaigham Saghir, Ernst Th. Scholten, Rozemarijn Vliegenthart, Mathias Prokop, Colin Jacobs:
Towards safe and reliable deep learning for lung nodule malignancy estimation using out-of-distribution detection. Comput. Biol. Medicine 186: 109633 (2025)- 2024
- [j13]Carlos A. Ferreira, Kiran Vaidhya Venkadesh, Colin Jacobs, Miguel T. Coimbra, Aurélio Campilho:
Towards automatic forecasting of lung nodule diameter with tabular data and CT imaging. Biomed. Signal Process. Control. 96: 106625 (2024) - [j12]Weiyi Xie, Colin Jacobs, Jean-Paul Charbonnier, Bram van Ginneken:
Structure and position-aware graph neural network for airway labeling. Medical Image Anal. 97: 103286 (2024) - [j11]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. IEEE Trans. Medical Imaging 43(8): 2839-2853 (2024) - [i14]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) - [i13]Rishad Islam, Arielle Carr, Colin Jacobs:
Optimization of Approximate Maps for Linear Systems Arising in Discretized PDEs. CoRR abs/2406.17656 (2024) - 2023
- [j10]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) - [j9]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) - [c10]Joeran Bosma, Dre Peeters, Natália Alves, Anindo Saha, Zaigham Saghir, Colin Jacobs, Henkjan Huisman:
Reproducibility of Training Deep Learning Models for Medical Image Analysis. MIDL 2023: 1269-1287 - [d7]Gabriel Efrain Humpire Mamani, Luc Builtjes, Colin Jacobs, Bram van Ginneken, Mathias Prokop, Ernst Th. Scholten:
Dataset for: Kidney abnormality segmentation in thorax-abdomen CT scans. Zenodo, 2023
- [i12]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) - [i11]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) - [i10]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
- [j8]Colin Jacobs, Karl Glazebrook, Alex Kai Qin, Thomas Collett:
Exploring the interpretability of deep neural networks used for gravitational lens finding with a sensitivity probe. Astron. Comput. 38: 100535 (2022) - [j7]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) - [i9]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) - 2021
- [c9]Colin Jacobs, Michael Lopez-Brau, Julian Jara-Ettinger:
What happened here? Children integrate physical reasoning to infer actions from indirect evidence. CogSci 2021 - [i8]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) - [i7]Weiyi Xie, Colin Jacobs, Bram van Ginneken:
Deep Clustering Activation Maps for Emphysema Subtyping. CoRR abs/2106.01351 (2021) - 2020
- [j6]Colin Jacobs:
"Sensie": Probing the sensitivity of neural networks. J. Open Source Softw. 5(55): 2180 (2020) - [j5]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) - [j4]Christopher J. Fluke, Colin Jacobs:
Surveying the reach and maturity of machine learning and artificial intelligence in astronomy. WIREs Data Mining Knowl. Discov. 10(2) (2020) - [c8]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. Computer-Aided Diagnosis 2020 - [e2]Jens Petersen, Raúl San José Estépar, Alexander Schmidt-Richberg, Sarah E. Gerard, Bianca Lassen-Schmidt, Colin Jacobs, Reinhard Beichel, Kensaku Mori:
Thoracic Image Analysis - Second International Workshop, TIA 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 8, 2020, Proceedings. Lecture Notes in Computer Science 12502, Springer 2020, ISBN 978-3-030-62468-2 [contents] - [i6]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) - [i5]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)
2010 – 2019
- 2019
- [d6]Bram van Ginneken, Colin Jacobs:
LUNA16 Part 1/2. Version 1. Zenodo, 2019 [all versions] - [d5]Bram van Ginneken, Colin Jacobs:
LUNA16 Part 2/2. Version 1. Zenodo, 2019 [all versions] - [d4]Bram van Ginneken, Colin Jacobs:
LUNA16 Part 1/2. Version 2. Zenodo, 2019 [all versions] - [d3]Bram van Ginneken, Colin Jacobs:
LUNA16 Part 1/2. Version 3. Zenodo, 2019 [all versions] - [d2]Bram van Ginneken, Colin Jacobs:
LUNA16 Part 2/2. Version 2. Zenodo, 2019 [all versions] - [d1]Bram van Ginneken, Colin Jacobs:
LUNA16 Part 2/2. Version 3. Zenodo, 2019 [all versions] - [i4]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) - 2018
- [c7]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 - [e1]Danail Stoyanov, Zeike Taylor, Bernhard Kainz, Gabriel Maicas, Reinhard R. Beichel, Anne L. Martel, Lena Maier-Hein, Kanwal K. Bhatia, Tom Vercauteren, Ozan Oktay, Gustavo Carneiro, Andrew P. Bradley, Jacinto C. Nascimento, Hang Min, Matthew S. Brown, Colin Jacobs, Bianca Lassen-Schmidt, Kensaku Mori, Jens Petersen, Raúl San José Estépar, Alexander Schmidt-Richberg, Catarina Veiga:
Image Analysis for Moving Organ, Breast, and Thoracic Images - Third International Workshop, RAMBO 2018, Fourth International Workshop, BIA 2018, and First International Workshop, TIA 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16 and 20, 2018, Proceedings. Lecture Notes in Computer Science 11040, Springer 2018, ISBN 978-3-030-00945-8 [contents] - [i3]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) - 2017
- [c6]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. Computer-Aided Diagnosis 2017: 1013416 - 2016
- [j3]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) - [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 Sóñora-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) - 2015
- [j2]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) - [c5]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 - [c4]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. Computer-Aided Diagnosis 2015: 94141O - [c3]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. Computer-Aided Diagnosis 2015: 941409 - 2014
- [j1]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) - [c2]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. Computer-Aided Diagnosis 2014: 90351I - 2011
- [c1]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
Coauthor Index
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