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cross-modal-attention

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Amogh-2005 / ICU-LOS_Mortality_Prediction

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A Multimodal Deep Learning framework for early ICU outcome prediction (Length of Stay and Mortality) on MIMIC-III. Features bi-LSTM vital-sign encoding, an MLP for clinical + lab data, 8-head Cross-Modal Attention Fusion, Platt temperature scaling calibration, and an interactive Streamlit clinical decision support dashboard.

deep-learning calibration mimic-iii ordinal-classification explainable-ai shap multimodal-fusion medical-ai pytorch-lightning streamlit length-of-stay icu-mortality cross-modal-attention
  • Updated Jun 8, 2026
  • HTML

Satyajithchary / Hierarchical-Multimodal-Fusion-with-Phased-Training-for-X-ITE-Challenge

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Official implementation of "Hierarchical Multimodal Fusion with Phased Training for Automated Pain Recognition" — ACIIW 2025. Fuses physiological signals, 4 video streams & audio via cross-modal attention and a learnable ensemble with a 3-phase training curriculum.

physiological-signals affective-computing multimodal-learning multimodal-fusion contrastive-learning pain-recognition cross-modal-attention x-ite-challenge acii2025
  • Updated Jun 22, 2026
  • Python

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