output
20052026
most citedMultimodal Healthcare AI: Identifying and Designing Clinically Relevant Vision-Language Applications for Radiology

78 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

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Showing cs.CVShow all

5 papers · 1 filter

cs.CV2026

Evaluation of Uncertainty-Aware Multi-Software Ensembles for Hippocampal Segmentation

Gabriel Oliveira-Stahl, Anna Schroder, James Moggridge +6

Accurate hippocampal segmentation can be a useful tool for diagnosing and monitoring neurological conditions such as Alzheimer's disease and epilepsy. While numerous automated segm…

cs.CV2024★ 14 cited

Machine learning algorithms to predict the risk of rupture of intracranial aneurysms: a systematic review

Karan Daga, Siddharth Agarwal, Zaeem Moti +5

Purpose: Subarachnoid haemorrhage is a potentially fatal consequence of intracranial aneurysm rupture, however, it is difficult to predict if aneurysms will rupture. Prophylactic t…

cs.CV2024★ 13 cited

OMG-Net: A Deep Learning Framework Deploying Segment Anything to Detect Pan-Cancer Mitotic Figures from Haematoxylin and Eosin-Stained Slides

Zhuoyan Shen, Mikael Simard, Douglas Brand +14

Mitotic activity is an important feature for grading several cancer types. Counting mitotic figures (MFs) is a time-consuming, laborious task prone to inter-observer variation. Ina…

cs.CV2018★ 9 cited

Towards safe deep learning: accurately quantifying biomarker uncertainty in neural network predictions

Zach Eaton-Rosen, Felix Bragman, Sotirios Bisdas +2

Automated medical image segmentation, specifically using deep learning, has shown outstanding performance in semantic segmentation tasks. However, these methods rarely quantify the…

cs.CV2017★ 60 cited

Scalable multimodal convolutional networks for brain tumour segmentation

Lucas Fidon, Wenqi Li, Luis C. Garcia-Peraza-Herrera +4

Brain tumour segmentation plays a key role in computer-assisted surgery. Deep neural networks have increased the accuracy of automatic segmentation significantly, however these mod…