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- affiliation: Radboud University, Medical Center, Nijmegen, The Netherlands
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2020 – today
- 2024
[j96]Luuk H. Boulogne
, Julian Lorenz, Daniel Kienzle, Robin Schön, Katja Ludwig, Rainer Lienhart, Simon Jégou, 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:
The STOIC2021 COVID-19 AI challenge: Applying reusable training methodologies to private data. Medical Image Anal. 97: 103230 (2024)- [j95]Coen de Vente, Bram van Ginneken, Carel B. Hoyng, Caroline C. W. Klaver, Clara I. Sánchez:
Uncertainty-aware multiple-instance learning for reliable classification: Application to optical coherence tomography. Medical Image Anal. 97: 103259 (2024) - [j94]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) - [j93]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) - [j92]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) - [i60]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) - [i59]Hartmut Häntze, Lina Xu, Felix J. Dorfner, Leonhard Donle, Daniel Truhn, Hugo J. W. L. Aerts, Mathias Prokop, Bram van Ginneken, Alessa Hering, Lisa C. Adams, Keno K. Bressem:
MRSegmentator: Robust Multi-Modality Segmentation of 40 Classes in MRI and CT Sequences. CoRR abs/2405.06463 (2024) - [i58]Max De Grauw, Ernst Th. Scholten, Ewoud J. Smit, Matthieu Rutten, Mathias Prokop, Bram van Ginneken, Alessa Hering:
The ULS23 Challenge: a Baseline Model and Benchmark Dataset for 3D Universal Lesion Segmentation in Computed Tomography. CoRR abs/2406.05231 (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) - [c105]Koen Dercksen, Arjen P. de Vries, Bram van Ginneken:
SimpleRad: Patient-Friendly Dutch Radiology Reports. ECIR (3) 2023: 224-229 - [d43]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:
SPIDER - Lumbar spine segmentation in MR images: a dataset and a public benchmark. Zenodo, 2023
- [d42]Jasper Willem 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:
SPIDER - Lumbar spine segmentation in MR images: a dataset and a public benchmark. Zenodo, 2023 - [d41]Jasper Willem 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:
SPIDER - Lumbar spine segmentation in MR images: a dataset and a public benchmark. Zenodo, 2023 - [d40]Max De Grauw, Natália Alves, Megan Schuurmans, Henkjan Huisman, Bram van Ginneken, Alessa Hering:
The ULS23 Challenge Public Training Dataset. Zenodo, 2023 - [d39]Max De Grauw, Bram van Ginneken, Alessa Hering:
The ULS23 Challenge Public Training Dataset Part 2. Zenodo, 2023 - [d38]Max De Grauw, Bram van Ginneken, Alessa Hering:
The ULS23 Challenge Public Training Dataset Part 3. Zenodo, 2023 - [d37]Max De Grauw, Bram van Ginneken, Alessa Hering:
The ULS23 Challenge Public Training Dataset Part 4. Zenodo, 2023 - [d36]Max De Grauw, Bram van Ginneken, Alessa Hering:
The ULS23 Challenge Public Training Dataset Part 5. Zenodo, 2023 - [d35]Max De Grauw, Bram van Ginneken, Alessa Hering:
The ULS23 Challenge Public Training Dataset Part 6. Zenodo, 2023 - [d34]Max De Grauw, Bram van Ginneken, Alessa Hering:
The ULS23 Challenge Public Training Dataset Part 5. Zenodo, 2023 - [d33]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 - [d32]James Meakin, Paul K. Gerke, Sjoerd Kerkstra, Miriam Groeneveld, Kicky G. van Leeuwen, Anne Mickan, Mike Overkamp, Chris van Run, Harm van Zeeland, Bram van Ginneken:
Grand-Challenge.org. Zenodo, 2023 - [d31]James Meakin, Paul K. Gerke, Sjoerd Kerkstra, Miriam Groeneveld, Kicky G. van Leeuwen, Anne Mickan, Mike Overkamp, Chris van Run, Harm van Zeeland, Bram van Ginneken:
Grand-Challenge.org. Zenodo, 2023 - [d30]James Meakin, Paul K. Gerke, Sjoerd Kerkstra, Miriam Groeneveld, Kicky G. van Leeuwen, Anne Mickan, Mike Overkamp, Chris van Run, Harm van Zeeland, Bram van Ginneken:
Grand-Challenge.org. Zenodo, 2023 - [d29]James Meakin, Paul K. Gerke, Sjoerd Kerkstra, Miriam Groeneveld, Kicky G. van Leeuwen, Anne Mickan, Mike Overkamp, Chris van Run, Harm van Zeeland, Bram van Ginneken:
Grand-Challenge.org. Zenodo, 2023 - [d28]James Meakin, Paul K. Gerke, Sjoerd Kerkstra, Miriam Groeneveld, Kicky G. van Leeuwen, Anne Mickan, Mike Overkamp, Chris van Run, Harm van Zeeland, Bram van Ginneken:
Grand-Challenge.org. Zenodo, 2023 - [d27]James Meakin, Paul K. Gerke, Sjoerd Kerkstra, Miriam Groeneveld, Kicky G. van Leeuwen, Anne Mickan, Mike Overkamp, Chris van Run, Harm van Zeeland, Bram van Ginneken:
Grand-Challenge.org. Zenodo, 2023 - [d26]James Meakin, Paul K. Gerke, Sjoerd Kerkstra, Miriam Groeneveld, Kicky G. van Leeuwen, Anne Mickan, Mike Overkamp, Chris van Run, Harm van Zeeland, Bram van Ginneken:
Grand-Challenge.org. Zenodo, 2023 - [d25]James Meakin, Paul K. Gerke, Sjoerd Kerkstra, Miriam Groeneveld, Kicky G. van Leeuwen, Anne Mickan, Mike Overkamp, Chris van Run, Harm van Zeeland, Bram van Ginneken:
Grand-Challenge.org. Zenodo, 2023 - [d24]James Meakin, Paul K. Gerke, Sjoerd Kerkstra, Miriam Groeneveld, Kicky G. van Leeuwen, Anne Mickan, Mike Overkamp, Chris van Run, Harm van Zeeland, Bram van Ginneken:
Grand-Challenge.org. Zenodo, 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 Jégou, 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
- [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) - [d23]Bram van Ginneken:
SCR database. Zenodo, 2022 - [d22]Anindo Saha, Jasper J. Twilt, Joeran S. Bosma, Bram van Ginneken, Derya Yakar, Mattijs Elschot, Jeroen Veltman, Jurgen J. Fütterer, Maarten de Rooij, Henkjan Huisman:
The PI-CAI Challenge: Public Training and Development Dataset. Zenodo, 2022 - [d21]Anindo Saha, Jasper Jonathan Twilt, Joeran Sander Bosma, Bram van Ginneken, Derya Yakar, Mattijs Elschot, Jeroen Veltman, Jurgen J. Fütterer, Maarten de Rooij, Henkjan Huisman:
The PI-CAI Challenge: Public Training and Development Dataset. Zenodo, 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) - [d20]Bram van Ginneken:
LOLA11. Zenodo, 2021 - [d19]Jasper Willem 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:
SPIDER - Lumbar spine segmentation in MR images: a dataset and a public benchmark. Zenodo, 2021 - [d18]James Meakin, Paul K. Gerke, Sjoerd Kerkstra, Miriam Groeneveld, Kicky G. van Leeuwen, Anne Mickan, Mike Overkamp, Chris van Run, Harm van Zeeland, Bram van Ginneken:
Grand-Challenge.org. Zenodo, 2021 - [d17]James Meakin, Paul K. Gerke, Sjoerd Kerkstra, Miriam Groeneveld, Kicky G. van Leeuwen, Anne Mickan, Mike Overkamp, Chris van Run, Harm van Zeeland, Bram van Ginneken:
Grand-Challenge.org. Zenodo, 2021 - [d16]Ecem Sogancioglu, Keelin Murphy, Bram van Ginneken:
NODE21. Zenodo, 2021 - [d15]Coen de Vente, Koenraad A. Vermeer, Nicolas Jaccard, Bram van Ginneken, Hans G. Lemij, Clara I. Sánchez:
Rotterdam EyePACS AIROGS train set. Zenodo, 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
- [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) - [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. Computer-Aided Diagnosis 2020 - [d14]James A. Meakin, Harm van Zeeland, Marcel Koek, Paul K. Gerke, Bart De Dobbelaer, Hans Pinckaers, Carl Shneider, Haimasree Bhattacharya, Roel Zinkstok, Ecem Sogancioglu, Cristina González-Gonzalo, Hans Meine, Alexander Köhn, Miriam Groeneveld, Tom Klaver, Karel Gerbrands, Darío Hereñú, Sjoerd Kerkstra, Bram van Ginneken:
Grand Challenge.org. Zenodo, 2020 - [d13]James A. Meakin, Harm van Zeeland, Marcel Koek, Paul K. Gerke, Bart De Dobbelaer, Hans Pinckaers, Carl Shneider, Haimasree Bhattacharya, Roel Zinkstok, Ecem Sogancioglu, Cristina González-Gonzalo, Hans Meine, Alexander Köhn, Miriam Groeneveld, Tom Klaver, Karel Gerbrands, Darío Hereñú, Sjoerd Kerkstra, Bram van Ginneken:
Grand Challenge.org. Zenodo, 2020 - [d12]James Meakin, Harm van Zeeland, Marcel Koek, Paul K. Gerke, Bart De Dobbelaer, Hans Pinckaers, Carl Shneider, Haimasree Bhattacharya, Roel Zinkstok, Ecem Sogancioglu, Cristina González-Gonzalo, Hans Meine, Alexander Köhn, Miriam Groeneveld, Tom Klaver, Karel Gerbrands, Darío Hereñú, Sjoerd Kerkstra, Bram van Ginneken:
Grand Challenge.org. Zenodo, 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]