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Bram van Ginneken

*: shared first/last authors

Adversarial cycle-consistent synthesis of cerebral microbleeds for data augmentation

Jan 16, 2021
Khrystyna Faryna, Kevin Koschmieder, Marcella M. Paul, Thomas van den Heuvel, Anke van der Eerden, Rashindra Manniesing, Bram van Ginneken

* Accepted in Medical Imaging meets NIPS Workshop, NIPS 2020 

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Constraining Volume Change in Learned Image Registration for Lung CTs

Nov 29, 2020
Alessa Hering, Stephanie Häger, Jan Moltz, Nikolas Lessmann, Stefan Heldmann, Bram van Ginneken


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Anisotropic 3D Multi-Stream CNN for Accurate Prostate Segmentation from Multi-Planar MRI

Sep 23, 2020
Anneke Meyer, Grzegorz Chlebus, Marko Rak, Daniel Schindele, Martin Schostak, Bram van Ginneken, Andrea Schenk, Hans Meine, Horst K. Hahn, Andreas Schreiber, Christian Hansen

* Submitted to Elsevier Computer Methods and Programs in Biomedicine. Anneke Meyer and Grzegorz Chlebus contributed equally to this work. Sourcecode and data available at https://github.com/AnnekeMeyer/AnisotropicMultiStreamCNN 

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Improving Automated COVID-19 Grading with Convolutional Neural Networks in Computed Tomography Scans: An Ablation Study

Sep 21, 2020
Coen de Vente, Luuk H. Boulogne, Kiran Vaidhya Venkadesh, Cheryl Sital, Nikolas Lessmann, Colin Jacobs, Clara I. Sánchez, Bram van Ginneken

* 9 pages, 6 figures 

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A review of deep learning in medical imaging: Image traits, technology trends, case studies with progress highlights, and future promises

Aug 02, 2020
S. Kevin Zhou, Hayit Greenspan, Christos Davatzikos, James S. Duncan, Bram van Ginneken, Anant Madabhushi, Jerry L. Prince, Daniel Rueckert, Ronald M. Summers

* 19 pages, 7 figures 

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Adversarial Attack Vulnerability of Medical Image Analysis Systems: Unexplored Factors

Jun 12, 2020
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

* First three authors contributed equally 

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Relational Modeling for Robust and Efficient Pulmonary Lobe Segmentation in CT Scans

May 12, 2020
Weiyi Xie, Colin Jacobs, Jean-Paul Charbonnier, Bram van Ginneken


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Contextual Two-Stage U-Nets for Robust Pulmonary Lobe Segmentation in CT Scans of COVID-19 and COPD Patients

Apr 19, 2020
Weiyi Xie, Colin Jacobs, Jean-Paul Charbonnier, Bram van Ginneken


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Random smooth gray value transformations for cross modality learning with gray value invariant networks

Mar 13, 2020
Nikolas Lessmann, Bram van Ginneken


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Streaming convolutional neural networks for end-to-end learning with multi-megapixel images

Nov 11, 2019
Hans Pinckaers, Bram van Ginneken, Geert Litjens

* In review 

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BIAS: Transparent reporting of biomedical image analysis challenges

Oct 23, 2019
Lena Maier-Hein, Annika Reinke, Michal Kozubek, Anne L. Martel, Tal Arbel, Matthias Eisenmann, Allan Hanbuary, Pierre Jannin, Henning MĂĽller, Sinan Onogur, Julio Saez-Rodriguez, Bram van Ginneken, Annette Kopp-Schneider, Bennett Landman

* 4 Supplements: Suppl 1: Reviewer checklist Suppl 2: Gloassary Suppl 3: Form for summarizing information on challenge organization Suppl 4: Structured description of a challenge design 

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Iterative augmentation of visual evidence for weakly-supervised lesion localization in deep interpretability frameworks

Oct 16, 2019
Cristina González-Gonzalo, Bart Liefers, Bram van Ginneken, Clara I. Sánchez


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Function Follows Form: Regression from Complete Thoracic Computed Tomography Scans

Sep 27, 2019
Max Argus, Cornelia Schaefer-Prokop, David A. Lynch, Bram van Ginneken


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mlVIRNET: Multilevel Variational Image Registration Network

Sep 22, 2019
Alessa Hering, Bram van Ginneken, Stefan Heldmann

* accepted for publication at MICCAI 2019 

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A deep learning model for segmentation of geographic atrophy to study its long-term natural history

Aug 15, 2019
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

* 22 pages, 3 tables, 4 figures, 1 supplemental figure 

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Automated Gleason Grading of Prostate Biopsies using Deep Learning

Jul 18, 2019
Wouter Bulten, Hans Pinckaers, Hester van Boven, Robert Vink, Thomas de Bel, Bram van Ginneken, Jeroen van der Laak, Christina Hulsbergen-van de Kaa, Geert Litjens

* 13 pages, 6 figures 

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FRODO: Free rejection of out-of-distribution samples: application to chest x-ray analysis

Jul 02, 2019
Erdi Çallı, Keelin Murphy, Ecem Sogancioglu, Bram van Ginneken


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Evaluation of a deep learning system for the joint automated detection of diabetic retinopathy and age-related macular degeneration

Mar 22, 2019
Cristina González-Gonzalo, Verónica Sánchez-Gutiérrez, Paula Hernández-Martínez, Inés Contreras, Yara T. Lechanteur, Artin Domanian, Bram van Ginneken, Clara I. Sánchez


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Computer aided detection of tuberculosis on chest radiographs: An evaluation of the CAD4TB v6 system

Mar 08, 2019
Keelin Murphy, Shifa Salman Habib, Syed Mohammad Asad Zaidi, Saira Khowaja, Aamir Khan, Jaime Melendez, Ernst T. Scholten, Farhan Amad, Steven Schalekamp, Maurits Verhagen, Rick H. H. M. Philipsen, Annet Meijers, Bram van Ginneken


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A large annotated medical image dataset for the development and evaluation of segmentation algorithms

Feb 25, 2019
Amber L. Simpson, Michela Antonelli, Spyridon Bakas, Michel Bilello, Keyvan Farahani, Bram van Ginneken, Annette Kopp-Schneider, Bennett A. Landman, Geert Litjens, Bjoern Menze, Olaf Ronneberger, Ronald M. Summers, Patrick Bilic, Patrick F. Christ, Richard K. G. Do, Marc Gollub, Jennifer Golia-Pernicka, Stephan H. Heckers, William R. Jarnagin, Maureen K. McHugo, Sandy Napel, Eugene Vorontsov, Lena Maier-Hein, M. Jorge Cardoso


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The Liver Tumor Segmentation Benchmark (LiTS)

Jan 13, 2019
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 Konopczynski, Miao Le, Chunming Li, Xiaomeng Li, Jana Lipkovà, John Lowengrub, Hans Meine, Jan Hendrik Moltz, Chris Pal, Marie Piraud, Xiaojuan Qi, Jin Qi, Markus Rempfler, Karsten Roth, Andrea Schenk, Anjany Sekuboyina, Eugene Vorontsov, Ping Zhou, Christian Hülsemeyer, Marcel Beetz, Florian Ettlinger, Felix Gruen, Georgios Kaissis, Fabian Lohöfer, Rickmer Braren, Julian Holch, Felix Hofmann, Wieland Sommer, Volker Heinemann, Colin Jacobs, Gabriel Efrain Humpire Mamani, Bram van Ginneken, Gabriel Chartrand, An Tang, Michal Drozdzal, Avi Ben-Cohen, Eyal Klang, Marianne M. 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

* conference 

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Chest X-Rays Image Inpainting with Context Encoders

Dec 03, 2018
Davide Belli, Shi Hu, Ecem Sogancioglu, Bram van Ginneken

* 11 pages, 8 figures 

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iW-Net: an automatic and minimalistic interactive lung nodule segmentation deep network

Nov 30, 2018
Guilherme Aresta, Colin Jacobs, Teresa Araújo, António Cunha, Isabel Ramos, Bram van Ginneken, Aurélio Campilho

* Pre-print submitted to IEEE Transactions on Biomedical Engineering 

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GANs for Medical Image Analysis

Sep 13, 2018
Salome Kazeminia, Christoph Baur, Arjan Kuijper, Bram van Ginneken, Nassir Navab, Shadi Albarqouni, Anirban Mukhopadhyay

* Salome Kazeminia and Christoph Baur contributed equally to this work 

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Chest X-ray Inpainting with Deep Generative Models

Aug 29, 2018
Ecem Sogancioglu, Shi Hu, Davide Belli, Bram van Ginneken

* 9 pages 

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Epithelium segmentation using deep learning in H&E-stained prostate specimens with immunohistochemistry as reference standard

Aug 17, 2018
Wouter Bulten, Péter Bándi, Jeffrey Hoven, Rob van de Loo, Johannes Lotz, Nick Weiss, Jeroen van der Laak, Bram van Ginneken, Christina Hulsbergen-van de Kaa, Geert Litjens


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Is the winner really the best? A critical analysis of common research practice in biomedical image analysis competitions

Jun 06, 2018
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 Maier-Hein, Bjoern H. Menze, Henning Müller, Peter F. Neher, Wiro Niessen, Nasir 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*

* 48 pages, under review in Nature Methods 

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