Medical Vision-Language Models (Med-VLMs) have demonstrated strong capabilities in clinical tasks. However, they often struggle to understand anatomical structures and spatial positioning, which are crucial for medical reasoning. To address this, we propose a localization-aware enhancement to the Med-VLM pipeline, intr...
H. Farooq, Murtaza Taj, Mehwish Nasim et al.· International Conference on...· 2 citations
Next-generation sequencing (NGS) has catalyzed the generation of individualized multi-omics datasets, potentiating precise molecular insights into cancer initiation, progression, and metastasis. The subsequent data analytics have necessitated the development of computational pipelines that couple patient-specific omics...
Zainab Nasir, M. U. Sultan, M. Gondal et al.· Journal of Molecular Biology· 0 citations
A definitive taxonomy of the medical VLM landscape is provided, tracing the evolution from early Contrastive Alignment and Generative MLLMs to the cutting-edge frontiers of Dense Pixel-Grounding, Sparse Mixture-of-Experts (MoE), and Reasoning-Incentivized (RL) architectures.
Taha Razzaq, Murtaza Taj, Asim Iqbal· Journal of Biomedical Inform...· 0 citations
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