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Bram van Ginneken

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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

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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

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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

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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

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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 Müller, Sinan Onogur, Julio Saez-Rodriguez, Bram van Ginneken, Annette Kopp-Schneider, Bennett Landman

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