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20182026
most citedPhenomenological Inclusion of Alternative Dispersion Relations to the Teukolsky Equation and its Application to Bounding the Graviton Mass with Gravitational-wave Measurements

8 citations · 24 across the 15 of their papers we have counts for

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6 papers · 1 filter

cs.CV2026

Vision-Language Models Encode Clinical Guidelines for Concept-Based Medical Reasoning

Mohamed Harmanani, Bining Long, Zhuoxin Guo +6

Concept Bottleneck Models (CBMs) are a prominent framework for interpretable AI that map learned visual features to a set of meaningful concepts for task-specific downstream predic…

cs.CV2026

GUIDE-US: Grade-Informed Unpaired Distillation of Encoder Knowledge from Histopathology to Micro-UltraSound

Emma Willis, Tarek Elghareb, Paul F. R. Wilson +6

Purpose: Non-invasive grading of prostate cancer (PCa) from micro-ultrasound (micro-US) could expedite triage and guide biopsies toward the most aggressive regions, yet current mod…

cs.CV2025★ 2 cited

TREAT-Net: Tabular-Referenced Echocardiography Analysis for Acute Coronary Syndrome Treatment Prediction

Diane Kim, Minh Nguyen Nhat To, Sherif Abdalla +3

Coronary angiography remains the gold standard for diagnosing Acute Coronary Syndrome (ACS). However, its resource-intensive and invasive nature can expose patients to procedural r…

cs.CV2024

Calibrated Diverse Ensemble Entropy Minimization for Robust Test-Time Adaptation in Prostate Cancer Detection

Mahdi Gilany, Mohamed Harmanani, Paul Wilson +6

High resolution micro-ultrasound has demonstrated promise in real-time prostate cancer detection, with deep learning becoming a prominent tool for learning complex tissue propertie…

cs.CV2023★ 2 cited

Manifold DivideMix: A Semi-Supervised Contrastive Learning Framework for Severe Label Noise

Fahimeh Fooladgar, Minh Nguyen Nhat To, Parvin Mousavi +1

Deep neural networks have proven to be highly effective when large amounts of data with clean labels are available. However, their performance degrades when training data contains…

cs.CV2018★ 2 cited

Methods for Segmentation and Classification of Digital Microscopy Tissue Images

Quoc Dang Vu, Simon Graham, Minh Nguyen Nhat To +11

High-resolution microscopy images of tissue specimens provide detailed information about the morphology of normal and diseased tissue. Image analysis of tissue morphology can help…