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20172024
most citedSemi-Supervised Medical Image Segmentation via Learning Consistency under Transformations

187 citations · 217 across the 9 of their papers we have counts for

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8 papers · 1 filter

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.IV202123 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.IV20212 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

When Weak Becomes Strong: Robust Quantification of White Matter Hyperintensities in Brain MRI scans

Oliver Werner, Kimberlin M. H. van Wijnen, Wiro J. Niessen +4

To measure the volume of specific image structures, a typical approach is to first segment those structures using a neural network trained on voxel-wise (strong) labels and subsequ…

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…

eess.IV2019

Automated Lesion Detection by Regressing Intensity-Based Distance with a Neural Network

Kimberlin M. H. van Wijnen, Florian Dubost, Pinar Yilmaz +5

Localization of focal vascular lesions on brain MRI is an important component of research on the etiology of neurological disorders. However, manual annotation of lesions can be ch…