collaborators

4 papers

cs.CV2026

Robust Multicentre Detection and Classification of Colorectal Liver Metastases on CT: Application of Foundation Models

Shruti Atul Mali, Zohaib Salahuddin, Yumeng Zhang +10

Colorectal liver metastases (CRLM) are a major cause of cancer-related mortality, and reliable detection on CT remains challenging in multi-centre settings. We developed a foundati…

eess.IV2026

A Pre-trained Foundation Model Framework for Multiplanar MRI Classification of Extramural Vascular Invasion and Mesorectal Fascia Invasion in Rectal Cancer

Yumeng Zhang, Shruti Atul Mali, Danial Khan +10

Objectives Accurate MRI-based identification of extramural vascular invasion (EVI) and mesorectal fascia invasion (MFI) is crucial for risk-stratified rectal cancer treatment. Howe…

cs.CV2026

Consensus in the Parliament of AI: Harmonized Multi-Region CT-Radiomics and Foundation-Model Signatures for Multicentre NSCLC Risk Stratification

Shruti Atul Mali, Zohaib Salahuddin, Danial Khan +13

Purpose: This study evaluates the impact of harmonization and multi-region feature integration on survival prediction in non-small cell lung cancer (NSCLC) patients. We assess the…

eess.IV2025

Explainable Anatomy-Guided AI for Prostate MRI: Foundation Models and In Silico Clinical Trials for Virtual Biopsy-based Risk Assessment

Danial Khan, Zohaib Salahuddin, Yumeng Zhang +11

We present a fully automated, anatomically guided deep learning pipeline for prostate cancer (PCa) risk stratification using routine MRI. The pipeline integrates three key componen…