39 citations · 73 across the 14 of their papers we have counts for
6 papers · 1 filter
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…
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…
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…
Methodological Explainability Evaluation of an Interpretable Deep Learning Model for Post-Hepatectomy Liver Failure Prediction Incorporating Counterfactual Explanations and Layerwise Relevance Propagation: A Prospective In Silico Trial
Xian Zhong, Zohaib Salahuddin, Yi Chen +15
Artificial intelligence (AI)-based decision support systems have demonstrated value in predicting post-hepatectomy liver failure (PHLF) in hepatocellular carcinoma (HCC). However,…
FUTURE-AI: Guiding Principles and Consensus Recommendations for Trustworthy Artificial Intelligence in Medical Imaging
Karim Lekadir, Richard Osuala, Catherine Gallin +13
The recent advancements in artificial intelligence (AI) combined with the extensive amount of data generated by today's clinical systems, has led to the development of imaging AI s…
Leveraging SLIC Superpixel Segmentation and Cascaded Ensemble SVM for Fully Automated Mass Detection In Mammograms
Jaime Simarro, Zohaib Salahuddin, Ahmed Gouda +1
Identification and segmentation of breast masses in mammograms face complex challenges, owing to the highly variable nature of malignant densities with regards to their shape, cont…