Rajat Vashistha

The University of Queensland

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Multimodal Models (2)Computer Vision (1)Recommendation & Information Retrieval (1)

Frequent co-authors

Soumen Ghosh (1)Amit Soni Arya (1)A. Arya (1)Tilottama Goswami (1)Tilottama Goswami (1)Subhojit Mandal (1)Subhojit Mandal (1)John Phamnguyen (1)

Papers (2)

Aug 4, 2026

Aug 4, 2026·also Bennett University, IIT Madras, Royal Brisbane and Women’s Hospital, University College of Engineering

CRIL-U-Net: Compact Ratio-Interaction Learning for Focal Cortical Dysplasia Segmentation from T1w and FLAIR MRI

CRIL-U-Net's innovative approach to cross-modal representation learning leads to a significant leap in the accuracy of FCD segmentation, revealing critical insights for epilepsy treatment.

Soumen Ghosh, Amit Soni Arya, A. Arya +8

Computer Vision Multimodal Models

Jul 21, 2026

Weakly Supervised Pathology-Informed Representation Learning for PET-Based Content Retrieval of Intra-Tumour Heterogeneity

Incorporating pathology-informed supervision into PET image retrieval boosts performance by effectively capturing intra-tumor heterogeneity.

Rajat Vashistha, S. Brosda, L. Aoude +8

Multimodal Models Recommendation & Information Retrieval

Rajat Vashistha

Research focus

Frequent co-authors

Papers (2)

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Rajat Vashistha

Research focus

Frequent co-authors

Papers (2)