Recent radiology multi-modal language models have made substantial progress in chest X-ray report generation, visual question answering, and temporal reasoning. While longitudinal chest X-ray interpretation compares sequential examinations to describe change, visual grounding aims to connect clinical language with loca...
Adonay Demewez Gebremedhin, Wessam Shehieb, Sara Alansari et al.· 0 citations
Multi-Resolution Pyramid Transformer (MRPT) is introduced, a model that hierarchically aggregates multi-resolution information from cellular to tissue and WSI levels and surpasses recent foundation models and Multimodal Large Language Models in cancer subtype classification, tissue phenotyping, and Visual Question Answ...
B. Alawode, Moshira Abdalla, Dwarikanath Mahapatra et al.· 0 citations
A novel temporal iterative refinement (TIR) framework to obtain low-latency flow updates at high frequency with SNN-based feature encoders, and exhibits better cross-domain generalization, hinting toward the strong inductive biases of the network.
M. Humais, Hussain M. Sajwani, Sajid Javed et al.· IEEE Transactions on Image P...· 0 citations
This survey organizes the literature on uncertainty-aware MLLMs around a decision-centered framework: uncertainty sources give rise to observable signals, signals must be calibrated or controlled for risk, and calibrated uncertainty should determine the system action.
