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20192026
most citedhist2RNA: An efficient deep learning architecture to predict gene expression from breast cancer histopathology images

63 citations · 135 across the 25 of their papers we have counts for

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Showing 2025Show all

5 papers · 1 filter

cs.CV2025

YOLO11-4K: An Efficient Architecture for Real-Time Small Object Detection in 4K Panoramic Images

Huma Hafeez, Matthew Garratt, Jo Plested +2

The processing of omnidirectional 360-degree images poses significant challenges for object detection due to inherent spatial distortions, wide fields of view, and ultra-high-resol…

cs.CV2025

Predicting Coronary Artery Calcium Severity based on Non-Contrast Cardiac CT images using Deep Learning

Lachlan Nguyen, Aidan Cousins, Arcot Sowmya +2

Cardiovascular disease causes high rates of mortality worldwide. Coronary artery calcium (CAC) scoring is a powerful tool to stratify the risk of atherosclerotic cardiovascular dis…

cs.CV2025

GazeDETR: Gaze Detection using Disentangled Head and Gaze Representations

Ryan Anthony Jalova de Belen, Gelareh Mohammadi, Arcot Sowmya

Gaze communication plays a crucial role in daily social interactions. Quantifying this behavior can help in human-computer interaction and digital phenotyping. While end-to-end mod…

eess.IV2025

LWT-ARTERY-LABEL: A Lightweight Framework for Automated Coronary Artery Identification

Shisheng Zhang, Ramtin Gharleghi, Sonit Singh +4

Coronary artery disease (CAD) remains the leading cause of death globally, with computed tomography coronary angiography (CTCA) serving as a key diagnostic tool. However, coronary…

eess.IV2025★ 3 cited

GRAPHITE: Graph-Based Interpretable Tissue Examination for Enhanced Explainability in Breast Cancer Histopathology

Raktim Kumar Mondol, Ewan K. A. Millar, Peter H. Graham +3

Explainable AI (XAI) in medical histopathology is essential for enhancing the interpretability and clinical trustworthiness of deep learning models in cancer diagnosis. However, th…