David Robben
Identifiers
- name variant David Robben 0.60 · backfill
Papers (19)
- ISLES'24 -- A Real-World Longitudinal Multimodal Stroke Dataset cs.CV · 2024 · author #9
- ISLES'24: Final Infarct Prediction with Multimodal Imaging and Clinical Data. Where Do We Stand? eess.IV · 2024 · author #9
- A Robust Ensemble Algorithm for Ischemic Stroke Lesion Segmentation: Generalizability and Clinical Utility Beyond the ISLES Challenge eess.IV · 2024 · author #11
- DeepVoxNet2: Yet another CNN framework cs.CV · 2022 · author #2
- Convolutional neural networks for medical image segmentation cs.CV · 2022 · author #2
- Final infarct prediction in acute ischemic stroke eess.IV · 2022 · author #2
- Theoretical analysis and experimental validation of volume bias of soft Dice optimized segmentation maps in the context of inherent uncertainty cs.CV · 2022 · author #2
- The Dice loss in the context of missing or empty labels: Introducing $\Phi$ and $\epsilon$ cs.CV · 2022 · author #3
- ISLES 2022: A multi-center magnetic resonance imaging stroke lesion segmentation dataset cs.CV · 2022 · author #11
- Differentiable Deconvolution for Improved Stroke Perfusion Analysis eess.IV · 2021 · author #2
- Explainable-by-design Semi-Supervised Representation Learning for COVID-19 Diagnosis from CT Imaging eess.IV · 2020 · author #25
- Unsupervised 3D Brain Anomaly Detection eess.IV · 2020 · author #4
- AIFNet: Automatic Vascular Function Estimation for Perfusion Analysis Using Deep Learning eess.IV · 2020 · author #5
- Comparative study of deep learning methods for the automatic segmentation of lung, lesion and lesion type in CT scans of COVID-19 patients eess.IV · 2020 · author #18
- Improved inter-scanner MS lesion segmentation by adversarial training on longitudinal data eess.IV · 2020 · author #4
- Optimization with soft Dice can lead to a volumetric bias eess.IV · 2019 · author #2
- Detection of vertebral fractures in CT using 3D Convolutional Neural Networks eess.IV · 2019 · author #3
- Prediction of final infarct volume from native CT perfusion and treatment parameters using deep learning cs.CV · 2018 · author #1
- Perfusion parameter estimation using neural networks and data augmentation cs.CV · 2018 · author #1
Mentions
- 2403.19425 #11 · arxiv_oai · confidence 0.70 David Robben
- 2408.10966 #9 · arxiv_oai · confidence 0.70 David Robben
- 2408.11142 #9 · arxiv_oai · confidence 0.70 David Robben
- 2206.06694 #11 · arxiv_oai · confidence 0.70 David Robben
- 2211.09569 #2 · arxiv_oai · confidence 0.70 David Robben
- 2211.09562 #2 · arxiv_oai · confidence 0.70 David Robben
- 2211.04850 #2 · arxiv_oai · confidence 0.70 David Robben
- 2207.09521 #3 · arxiv_oai · confidence 0.70 David Robben
- 2211.04161 #2 · arxiv_oai · confidence 0.70 David Robben
- 2010.01617 #5 · arxiv_oai · confidence 0.70 David Robben
- 2007.15546 #18 · arxiv_oai · confidence 0.70 David Robben
- 2011.11719 #25 · arxiv_oai · confidence 0.70 David Robben
- 2010.04717 #4 · arxiv_oai · confidence 0.70 David Robben
- 2103.17111 #2 · arxiv_oai · confidence 0.70 David Robben
- 2002.00952 #4 · arxiv_oai · confidence 0.70 David Robben
- 1911.02278 #2 · arxiv_oai · confidence 0.70 David Robben
- 1911.01816 #3 · arxiv_oai · confidence 0.70 David Robben
- 1812.02496 #1 · arxiv_oai · confidence 0.70 David Robben
- 1810.04898 #1 · arxiv_oai · confidence 0.70 David Robben
Frequent Coauthors
- Dirk Vandermeulen 9 shared papers
- Jeroen Bertels 9 shared papers
- Ezequiel de la Rosa 7 shared papers
- Bjoern Menze 6 shared papers
- Paul Suetens 6 shared papers
- Diana M. Sima 5 shared papers
- Jan S. Kirschke 5 shared papers
- Benedikt Wiestler 4 shared papers
- Mauricio Reyes 4 shared papers
- Robin Lemmens 4 shared papers
- Roland Wiest 4 shared papers
- Arne Brys 3 shared papers
- Florian Kofler 3 shared papers
- Frederik Maes 3 shared papers
- Sofie Tilborghs 3 shared papers
- Susanne Wegener 3 shared papers
- Abdul Qayyum 2 shared papers
- Annemiek Snoeckx 2 shared papers
- Bart Ilsen 2 shared papers
- Carole Frindel 2 shared papers