Foundation-model-boosted multimodal learning for fMRI-based neuropathic pain drug response prediction
Transferring representations from larger pain-agnostic fMRI datasets to data-scarce drug-response prediction.
Foundation models for data-scarce neuropathic pain research
An overview of our multimodal framework for fMRI-based drug-response prediction.
Multimodal variational autoencoder for low-cost cardiac hemodynamics instability detection
Multimodal pre-training with chest X-ray and ECG for low-cost cardiac hemodynamic instability detection.
mohammod-naimul-islam-suvon
CardioVAE released
Multimodal pre-training with chest X-ray and ECG for low-cost cardiac hemodynamics assessment.
MeDSLIP released
Dual-stream vision-language pre-training for fine-grained medical image-text alignment.
MeDSLIP: medical dual-stream language-image pre-training with pathology-anatomy semantic alignment
Anatomy- and pathology-aware dual-stream language-image pre-training for medical data.
Multimodal AI for Parkinson's Disease
Learning from genetics, biomarkers, environment, and clinical examinations to study Parkinson's disease mechanisms and progression.
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1 min read
Foundation Models for Neuropathic Pain
Data-efficient multimodal learning for fMRI-based drug-response prediction.
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1 min read