429 citations · 452 across the 18 of their papers we have counts for
6 papers · 1 filter
Pointwise visual field estimation from optical coherence tomography in glaucoma: a structure-function analysis using deep learning
Ruben Hemelings, Bart Elen, João Barbosa Breda +4
Background/Aims: Standard Automated Perimetry (SAP) is the gold standard to monitor visual field (VF) loss in glaucoma management, but is prone to intra-subject variability. We dev…
Deep learning on fundus images detects glaucoma beyond the optic disc
Ruben Hemelings, Bart Elen, João Barbosa-Breda +3
Although unprecedented sensitivity and specificity values are reported, recent glaucoma detection deep learning models lack in decision transparency. Here, we propose a methodology…
Post Training Uncertainty Calibration of Deep Networks For Medical Image Segmentation
Axel-Jan Rousseau, Thijs Becker, Jeroen Bertels +2
Neural networks for automated image segmentation are typically trained to achieve maximum accuracy, while less attention has been given to the calibration of their confidence score…
Optimization for Medical Image Segmentation: Theory and Practice when evaluating with Dice Score or Jaccard Index
Tom Eelbode, Jeroen Bertels, Maxim Berman +4
In many medical imaging and classical computer vision tasks, the Dice score and Jaccard index are used to evaluate the segmentation performance. Despite the existence and great emp…
Pathological myopia classification with simultaneous lesion segmentation using deep learning
Ruben Hemelings, Bart Elen, Matthew B. Blaschko +3
This investigation reports on the results of convolutional neural networks developed for the recently introduced PathologicAL Myopia (PALM) dataset, which consists of 1200 fundus i…
Semixup: In- and Out-of-Manifold Regularization for Deep Semi-Supervised Knee Osteoarthritis Severity Grading from Plain Radiographs
Huy Hoang Nguyen, Simo Saarakkala, Matthew Blaschko +1
Knee osteoarthritis (OA) is one of the highest disability factors in the world. This musculoskeletal disorder is assessed from clinical symptoms, and typically confirmed via radiog…