David Robben

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 33

Top Topics

Magnetic Resonance

Lesion Segmentation

Convolutional Neural Networks

Top Venues

BrainLes@MICCAI (1)

Medical Image Anal.

Brainles@MICCAI

Publications

Ezequiel de la Rosa, Mauricio Reyes, Sook-Lei Liew, Alexandre Hutton, Roland Wiest, Johannes Kaesmacher, Uta Hanning, Arsany Hakim, Richard Zubal, Waldo Valenzuela, David Robben, Diana Maria Sima, Vincenzo Anania, Arne Brys, James A. Meakin, Anne Mickan, Gabriel Broocks, Christian Heitkamp, Shengbo Gao, Kongming Liang, Ziji Zhang, Md Mahfuzur Rahman Siddiquee, Andriy Myronenko, Pooya Ashtari, Sabine Van Huffel, Hyun-su Jeong, Chiho Yoon, Chulhong Kim, Jiayu Huo, Sébastien Ourselin, Rachel Sparks, Albert Clèrigues, Arnau Oliver, Xavier Lladó, Liam F. Chalcroft, Ioannis Pappas, Jeroen Bertels, Ewout Heylen, Juliette Moreau, Nima Hatami, Carole Frindel, Abdul Qayyum, Moona Mazher, Domenec Puig, Shao-Chieh Lin, Chun-Jung Juan, Tianxi Hu, Lyndon Boone, Maged Goubran, Yi-Jui Liu, Susanne Wegener, Florian Kofler, Ivan Ezhov, Suprosanna Shit, Moritz Roman Hernandez Petzsche, Bjoern H. Menze, Jan S. Kirschke, Benedikt Wiestler
A Robust Ensemble Algorithm for Ischemic Stroke Lesion Segmentation: Generalizability and Clinical Utility Beyond the ISLES Challenge. CoRR (2024)
Jeroen Bertels, David Robben, Robin Lemmens, Dirk Vandermeulen
DeepVoxNet2: Yet another CNN framework. CoRR (2022)
Jeroen Bertels, David Robben, Dirk Vandermeulen, Robin Lemmens
Final infarct prediction in acute ischemic stroke. CoRR (2022)
Jeroen Bertels, David Robben, Dirk Vandermeulen, Paul Suetens
Theoretical analysis and experimental validation of volume bias of soft Dice optimized segmentation maps in the context of inherent uncertainty. CoRR (2022)
Sofie Tilborghs, Jeroen Bertels, David Robben, Dirk Vandermeulen, Frederik Maes
The Dice loss in the context of missing or empty labels: Introducing Φ and ε. CoRR (2022)
Jeroen Bertels, David Robben, Robin Lemmens, Dirk Vandermeulen
Convolutional neural networks for medical image segmentation. CoRR (2022)
Sofie Tilborghs, Jeroen Bertels, David Robben, Dirk Vandermeulen, Frederik Maes
The Dice Loss in the Context of Missing or Empty Labels: Introducing $\varPhi $ and ε. MICCAI (5) (2022)
Moritz Roman Hernandez Petzsche, Ezequiel de la Rosa, Uta Hanning, Roland Wiest, Waldo Enrique Valenzuela Pinilla, Mauricio Reyes, Maria Inês Meyer, Sook-Lei Liew, Florian Kofler, Ivan Ezhov, David Robben, Alexander Hutton, Tassilo Friedrich, Teresa Zarth, Johannes Bürkle, The Anh Baran, Bjoern H. Menze, Gabriel Broocks, Lukas Meyer, Claus Zimmer, Tobias Boeckh-Behrens, Maria Berndt, Benno Ikenberg, Benedikt Wiestler, Jan S. Kirschke
ISLES 2022: A multi-center magnetic resonance imaging stroke lesion segmentation dataset. CoRR (2022)
Jeroen Bertels, David Robben, Dirk Vandermeulen, Paul Suetens
Theoretical analysis and experimental validation of volume bias of soft Dice optimized segmentation maps in the context of inherent uncertainty. Medical Image Anal. 67 (2021)
Ezequiel de la Rosa, David Robben, Diana Maria Sima, Jan S. Kirschke, Bjoern H. Menze
Differentiable Deconvolution for Improved Stroke Perfusion Analysis. CoRR (2021)
Ezequiel de la Rosa, Diana Maria Sima, Bjoern H. Menze, Jan S. Kirschke, David Robben
AIFNet: Automatic vascular function estimation for perfusion analysis using deep learning. Medical Image Anal. 74 (2021)
David Robben, Anna M. M. Boers, Henk A. Marquering, Lucianne L. C. M. Langezaal, Yvo B. W. E. M. Roos, Robert J. van Oostenbrugge, Wim H. van Zwam, Diederik W. J. Dippel, Charles B. L. M. Majoie, Aad van der Lugt, Robin Lemmens, Paul Suetens
Prediction of final infarct volume from native CT perfusion and treatment parameters using deep learning. Medical Image Anal. 59 (2020)
Abel Díaz Berenguer, Hichem Sahli, Boris Joukovsky, Maryna Kvasnytsia, Ine Dirks, Mitchel Alioscha-Pérez, Nikos Deligiannis, Panagiotis Gonidakis, Sebastián Amador Sánchez, Redona Brahimetaj, Evgenia Papavasileiou, Jonathan Cheung-Wai Chan, Fei Li, Shangzhen Song, Yixin Yang, Sofie Tilborghs, Siri Willems, Tom Eelbode, Jeroen Bertels, Dirk Vandermeulen, Frederik Maes, Paul Suetens, Lucas Fidon, Tom Vercauteren, David Robben, Arne Brys, Dirk Smeets, Bart Ilsen, Nico Buls, Nina Watté, Johan de Mey, Annemiek Snoeckx, Paul M. Parizel, Julien Guiot, Louis Deprez, Paul Meunier, Stefaan Gryspeerdt, Kristof De Smet, Bart Jansen, Jef Vandemeulebroucke
Explainable-by-design Semi-Supervised Representation Learning for COVID-19 Diagnosis from CT Imaging. CoRR (2020)
Sofie Tilborghs, Ine Dirks, Lucas Fidon, Siri Willems, Tom Eelbode, Jeroen Bertels, Bart Ilsen, Arne Brys, Adriana Dubbeldam, Nico Buls, Panagiotis Gonidakis, Sebastián Amador Sánchez, Annemiek Snoeckx, Paul M. Parizel, Johan de Mey, Dirk Vandermeulen, Tom Vercauteren, David Robben, Dirk Smeets, Frederik Maes, Jef Vandemeulebroucke, Paul Suetens
Comparative study of deep learning methods for the automatic segmentation of lung, lesion and lesion type in CT scans of COVID-19 patients. CoRR (2020)
Ezequiel de la Rosa, David Robben, Diana Maria Sima, Jan S. Kirschke, Bjoern H. Menze
Differentiable Deconvolution for Improved Stroke Perfusion Analysis. MICCAI (7) (2020)
Ezequiel de la Rosa, Diana Maria Sima, Bjoern H. Menze, Jan S. Kirschke, David Robben
AIFNet: Automatic Vascular Function Estimation for Perfusion Analysis Using Deep Learning. CoRR (2020)
Mattias Billast, Maria Inês Meyer, Diana Maria Sima, David Robben
Improved inter-scanner MS lesion segmentation by adversarial training on longitudinal data. CoRR (2020)
Jaime Simarro Viana, Ezequiel de la Rosa, Thijs Vande Vyvere, David Robben, Diana Maria Sima
Unsupervised 3D Brain Anomaly Detection. BrainLes@MICCAI (1) (2020)
Liesbeth Vandewinckele, Siri Willems, David Robben, Julie Van Der Veen, Wouter Crijns, Sandra Nuyts, Frederik Maes
Segmentation of head-and-neck organs-at-risk in longitudinal CT scans combining deformable registrations and convolutional neural networks. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 8 (5) (2020)
Jaime Simarro Viana, Ezequiel de la Rosa, Thijs Vande Vyvere, David Robben, Diana Maria Sima
Unsupervised 3D Brain Anomaly Detection. CoRR (2020)
Mattias Billast, Maria Inês Meyer, Diana Maria Sima, David Robben
Improved Inter-scanner MS Lesion Segmentation by Adversarial Training on Longitudinal Data. BrainLes@MICCAI (1) (2019)
Jeroen Bertels, David Robben, Dirk Vandermeulen, Paul Suetens
Optimization with Soft Dice Can Lead to a Volumetric Bias. BrainLes@MICCAI (1) (2019)
Joeri Nicolaes, Steven Raeymaeckers, David Robben, Guido Wilms, Dirk Vandermeulen, Cesar Libanati, Marc Debois
Detection of vertebral fractures in CT using 3D Convolutional Neural Networks. CoRR (2019)
Joeri Nicolaes, Steven Raeymaeckers, David Robben, Guido Wilms, Dirk Vandermeulen, Cesar Libanati, Marc Debois
Detection of Vertebral Fractures in CT Using 3D Convolutional Neural Networks. CSI@MICCAI (2019)
Jeroen Bertels, David Robben, Dirk Vandermeulen, Paul Suetens
Optimization with soft Dice can lead to a volumetric bias. CoRR (2019)
David Robben, Anna M. M. Boers, Henk A. Marquering, Lucianne L. C. M. Langezaal, Yvo B. W. E. M. Roos, Robert J. van Oostenbrugge, Wim H. van Zwam, Diederik W. J. Dippel, Charles B. L. M. Majoie, Aad van der Lugt, Robin Lemmens, Paul Suetens
Prediction of final infarct volume from native CT perfusion and treatment parameters using deep learning. CoRR (2018)
Jeroen Bertels, David Robben, Dirk Vandermeulen, Paul Suetens
Contra-Lateral Information CNN for Core Lesion Segmentation Based on Native CTP in Acute Stroke. BrainLes@MICCAI (1) (2018)
Siri Willems, Wouter Crijns, Agustina La Greca Saint-Esteven, Julie Van Der Veen, David Robben, Tom Depuydt, Sandra Nuyts, Karin Haustermans, Frederik Maes
Clinical Implementation of DeepVoxNet for Auto-Delineation of Organs at Risk in Head and Neck Cancer Patients in Radiotherapy. OR 2.0/CARE/CLIP/ISIC@MICCAI (2018)
Liesbeth Vandewinckele, David Robben, Wouter Crijns, Frederik Maes
Segmentation of Head and Neck Organs-At-Risk in Longitudinal CT Scans Combining Deformable Registrations and Convolutional Neural Networks. DLMIA/ML-CDS@MICCAI (2018)
David Robben, Paul Suetens
Perfusion Parameter Estimation Using Neural Networks and Data Augmentation. BrainLes@MICCAI (1) (2018)
David Robben, Paul Suetens
Perfusion parameter estimation using neural networks and data augmentation. CoRR (2018)
Niels Verheyen, David Robben, Daniel Ruijters, Vitor Mendes Pereira, Olivier Brina, Frederik Maes, Paul Suetens
Inferring brain deformation during open neurosurgery using CBCT angiography. ISBI (2016)
David Robben, Engin Türetken, Stefan Sunaert, Vincent Thijs, Guy Willems, Pascal Fua, Frederik Maes, Paul Suetens
Simultaneous segmentation and anatomical labeling of the cerebral vasculature. Medical Image Anal. 32 (2016)
David Robben, Stefan Sunaert, Vincent Thijs, Guy Willms, Frederik Maes, Paul Suetens
Perfusion Paths: Inference of Voxelwise Blood Flow Trajectories in CT Perfusion. MICCAI (2) (2015)
David Robben, Daan Christiaens, Janaki Raman Rangarajan, Jaap Gelderblom, Philip Joris, Frederik Maes, Paul Suetens
A Voxel-Wise, Cascaded Classification Approach to Ischemic Stroke Lesion Segmentation. Brainles@MICCAI (2015)
David Robben, Engin Türetken, Stefan Sunaert, Vincent Thijs, Guy Willms, Pascal Fua, Frederik Maes, Paul Suetens
Simultaneous Segmentation and Anatomical Labeling of the Cerebral Vasculature. MICCAI (1) (2014)
David Robben, Stefan Sunaert, Vincent Thijs, Guy Willms, Frederik Maes, Paul Suetens
Anatomical Labeling of the Circle of Willis Using Maximum A Posteriori Graph Matching. MICCAI (1) (2013)
David Robben, Dirk Smeets, Daniel Ruijters, McElory Hoffmann, Laura Antanas, Frederik Maes, Paul Suetens
Intra-patient Non-rigid Registration of 3D Vascular Cerebral Images. CLIP (2012)