collaborators

7 papers

eess.IV2026

Pre- to Post-Contrast Synthesis of Breast DCE-MRI using Latent Bridge Matching

Sina Amirrajab, Zohaib Salahuddin, Henry C Woodruff +1

Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) is central to breast cancer imaging, but gadolinium administration increases scan burden and motivates contrast-reduc…

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…

cs.CV2025

Radiology Report Conditional 3D CT Generation with Multi Encoder Latent diffusion Model

Sina Amirrajab, Zohaib Salahuddin, Sheng Kuang +2

Text to image latent diffusion models have recently advanced medical image synthesis, but applications to 3D CT generation remain limited. Existing approaches rely on simplified pr…

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…