Abhishek Jaywant

CALM-VLM improves confidence and reliability in brain MRI classification by calibrating vision-language models and enabling selective prediction.

This study uses estimated structural and functional connectivity networks from MRI and AI to predict cognition in multiple sclerosis patients, finding strong predictive accuracy for follow-up scores.

The paper examines the relationship between white matter hyperintensity burden, resting state functional connectivity, and cognitive functions in older adults, finding associations with memory retrieval but not other cognitive tasks.

The paper examines sex-independent and sex-specific relationships between functional connectivity and cognitive abilities in healthy adults using the Human Connectome Project data.

The paper integrates functional and structural brain connectivity to predict individual cognitive abilities, finding that multimodal integration outperforms single-modal approaches.