Author

Muhammad Bilal

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Review Open access Sep 2026

Deep Learning-Based Segmentation, Action, and Phase Recognition in Laparoscopic Cholecystectomy: A Review

The integration of artificial intelligence into biomedical image analysis represents a paradigm shift in clinical decision support and surgical informatics. Laparoscopic cholecystectomy (LC) is a widely performed minimally invasive procedure but remains technically challenging due to limited visibility, anatomical vari...

Hafsa Gulzar, Muhammad Bilal, Muhammad Zubair Nawaz et al. · Journal of Artificial Intell... · 0 citations

Preprint Aug 2026

On the Robustness of Temporal Vision-Language Models for Surgical Endoscopy Videos

Endo-C6, a compact corruption benchmark of six endoscopy-realistic perturbations evaluated at a fixed high severity, is introduced and RobustEndoCLIP, obtained by few-shot parameter-efficient tuning with VeRA, outperforming existing TVLM baselines are presented.

Darakshan Rashid, Raza Imam, Ufaq Khan et al. · 0 citations

Aug 2026

GuardMLLM: Overconfidence-Aware Dynamic Fusion for Early Outcome Prediction.

Experimental results show that the proposed GuardMLLM improves performance on tasks such as predicting patient mortality and ICU length of stay, and effectively alleviates overconfidence in LLM.

Gang Fu, Xiao-Long Xu, Hao-Long Xiang et al. · IEEE journal of biomedical a... · 0 citations

Keep It Frozen: Domain-Routed Conditional Residual Modulation for Multi-Domain Vision Transformers

DCRM-ViT is proposed, a domain-conditioned residual modulation framework for Vision Transformers that preserves general-vision knowledge while adapting to diverse medical and natural domains and achieves strong cross-domain performance with low overhead.

Ufaq Khan, Umair Nawaz, Massimo Caputo et al. · 0 citations