187 citations · 721 across the 60 of their papers we have counts for
61 papers
CenSynCMB: Centre Maps and Physics-Guided Synthesis for Microbleed Detection
Lucas He, Hanyuan Zhang, Krinos Li +7
Cerebral microbleeds (CMBs) are MRI markers of small vessel disease and the microbleed component of amyloid related imaging abnormalities (ARIA-H), but their small size, sparsity,…
A Unified Framework for Joint Detection of Lacunes and Enlarged Perivascular Spaces
Lucas He, Krinos Li, Hanyuan Zhang +7
Cerebral small vessel disease (CSVD) markers, specifically enlarged perivascular spaces (EPVS) and lacunae, present a unique challenge in medical image analysis due to their radiol…
rNCA: Self-Repairing Segmentation Masks
Malte Silbernagel, Albert Alonso, Jens Petersen +3
Accurately predicting topologically correct masks remains a difficult task for general segmentation models, which often produce fragmented or disconnected outputs. Fixing these art…
Interpretable Artificial Intelligence for Detecting Acute Heart Failure on Acute Chest CT Scans
Silas Nyboe Ørting, Kristina Miger, Anne Sophie Overgaard Olesen +5
Introduction: Chest CT scans are increasingly used in dyspneic patients where acute heart failure (AHF) is a key differential diagnosis. Interpretation remains challenging and radi…
Leveraging Labelled Data Knowledge: A Cooperative Rectification Learning Network for Semi-supervised 3D Medical Image Segmentation
Yanyan Wang, Kechen Song, Yuyuan Liu +3
Semi-supervised 3D medical image segmentation aims to achieve accurate segmentation using few labelled data and numerous unlabelled data. The main challenge in the design of semi-s…
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…