Tom Eelbode

Explainable-by-design Semi-Supervised Representation Learning for COVID-19 Diagnosis from CT Imaging pdf

Tom Vercauteren, Paul Suetens, Dirk Vandermeulen, 2020, ArXiv.

AUTOMATED POLYP SIZE ESTIMATION WITH DEEP LEARNING REDUCES OVERESTIMATION BIAS

Frederik Maes, Tom Eelbode, P Suetens, 2020 .

Optimizing the Dice Score and Jaccard Index for Medical Image Segmentation: Theory and Practice

Matthew B. Blaschko, Dirk Vandermeulen, Frederik Maes, 2019, MICCAI.

Optimization for Medical Image Segmentation: Theory and Practice When Evaluating With Dice Score or Jaccard Index

Matthew B. Blaschko, Dirk Vandermeulen, Frederik Maes, 2020, IEEE Transactions on Medical Imaging.

Semi-Automated Annotation tool Outperforms Trained Medical Students and is Comparable to Clinical Expert Performance for Frame-Level Detection of Colorectal Polyps

Frederik Maes, Tom Eelbode, Omer F. Ahmad, 2021 .

INCORPORATION OF TEMPORAL INFORMATION IN A DEEP NEURAL NETWORK IMPROVES PERFORMANCE LEVEL FOR AUTOMATED POLYP DETECTION AND DELINEATION

Frederik Maes, Tom Eelbode, Helmut Neumann, 2019, Endoscopy.

Artificial intelligence and its impact on quality improvement in upper and lower gastrointestinal endoscopy

Frederik Maes, Tom Eelbode, Raf Bisschops, 2020, Digestive endoscopy : official journal of the Japan Gastroenterological Endoscopy Society.

Automatic, computer-aided determination of endoscopic and histological inflammation in patients with mild to moderate ulcerative colitis based on red density

Tom Eelbode, Tadashi Hasegawa, Yousuke Ikemoto, 2020, Gut.