activity
20182026
most cited3D multirater RCNN for multimodal multiclass detection and characterisation of extremely small objects

13 citations · 31 across the 6 of their papers we have counts for

collaborators

7 papers

cs.CV2026

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,…

cs.CV2026

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…

cs.HC2024★ 12 cited

"It depends": Configuring AI to Improve Clinical Usefulness Across Contexts

Hubert D. Zając, Jorge M. N. Ribeiro, Silvia Ingala +6

Artificial Intelligence (AI) repeatedly match or outperform radiologists in lab experiments. However, real-world implementations of radiological AI-based systems are found to provi…

cs.CV2022★ 6 cited

Where is VALDO? VAscular Lesions Detection and segmentatiOn challenge at MICCAI 2021

Carole H. Sudre, Kimberlin Van Wijnen, Florian Dubost +46

Imaging markers of cerebral small vessel disease provide valuable information on brain health, but their manual assessment is time-consuming and hampered by substantial intra- and…

eess.IV2019

Degenerative Adversarial NeuroImage Nets for Brain Scan Simulations: Application in Ageing and Dementia

Daniele Ravi, Stefano B. Blumberg, Silvia Ingala +3

Accurate and realistic simulation of high-dimensional medical images has become an important research area relevant to many AI-enabled healthcare applications. However, current sta…

cs.CV2019

Let's agree to disagree: learning highly debatable multirater labelling

Carole H. Sudre, Beatriz Gomez Anson, Silvia Ingala +9

Classification and differentiation of small pathological objects may greatly vary among human raters due to differences in training, expertise and their consistency over time. In a…

cs.CV2018★ 13 cited

3D multirater RCNN for multimodal multiclass detection and characterisation of extremely small objects

Carole H. Sudre, Beatriz Gomez Anson, Silvia Ingala +7

Extremely small objects (ESO) have become observable on clinical routine magnetic resonance imaging acquisitions, thanks to a reduction in acquisition time at higher resolution. De…