activity
20162024
most citedSemi-Supervised Medical Image Segmentation via Learning Consistency under Transformations

187 citations · 382 across the 14 of their papers we have counts for

collaborators

15 papers

eess.IV2024

World of Forms: Deformable Geometric Templates for One-Shot Surface Meshing in Coronary CT Angiography

Rudolf L. M. van Herten, Ioannis Lagogiannis, Jelmer M. Wolterink +8

Deep learning-based medical image segmentation and surface mesh generation typically involve a sequential pipeline from image to segmentation to meshes, often requiring large train…

eess.IV2021★ 23 cited

Automated Segmentation and Volume Measurement of Intracranial Carotid Artery Calcification on Non-Contrast CT

Gerda Bortsova, Daniel Bos, Florian Dubost +4

Purpose: To evaluate a fully-automated deep-learning-based method for assessment of intracranial carotid artery calcification (ICAC). Methods: Two observers manually delineated ICA…

eess.IV2021★ 2 cited

Adversarial Heart Attack: Neural Networks Fooled to Segment Heart Symbols in Chest X-Ray Images

Gerda Bortsova, Florian Dubost, Laurens Hogeweg +2

Adversarial attacks consist in maliciously changing the input data to mislead the predictions of automated decision systems and are potentially a serious threat for automated medic…

eess.IV2020★ 25 cited

DS6, Deformation-aware Semi-supervised Learning: Application to Small Vessel Segmentation with Noisy Training Data

Soumick Chatterjee, Kartik Prabhu, Mahantesh Pattadkal +7

Blood vessels of the brain provide the human brain with the required nutrients and oxygen. As a vulnerable part of the cerebral blood supply, pathology of small vessels can cause s…

cs.CR2020★ 129 cited

Adversarial Attack Vulnerability of Medical Image Analysis Systems: Unexplored Factors

Gerda Bortsova, Cristina González-Gonzalo, Suzanne C. Wetstein +9

Adversarial attacks are considered a potentially serious security threat for machine learning systems. Medical image analysis (MedIA) systems have recently been argued to be vulner…

eess.IV2019

Automated Estimation of the Spinal Curvature via Spine Centerline Extraction with Ensembles of Cascaded Neural Networks

Florian Dubost, Benjamin Collery, Antonin Renaudier +5

Scoliosis is a condition defined by an abnormal spinal curvature. For diagnosis and treatment planning of scoliosis, spinal curvature can be estimated using Cobb angles. We propose…