5 papers
CRIL-U-Net: Compact Ratio-Interaction Learning for Focal Cortical Dysplasia Segmentation from T1w and FLAIR MRI
Soumen Ghosh, Amit Soni Arya, Tilottama Goswami +3
Focal cortical dysplasia (FCD) type II is an important structural cause of drug-resistant focal epilepsy, but its small size, heterogeneous appearance, and subtle MRI characteristi…
Weakly Supervised Pathology-Informed Representation Learning for PET-Based Content Retrieval of Intra-Tumour Heterogeneity
Rajat Vashistha, Sandra Brosda, Lauren G. Aoude +8
We propose a weakly supervised 18FFDG PET representation-learning framework for content based medical image retrieval, using H&E derived information during training while preservin…
Benchmarking MRI Representations for Deep Learning-Based Focal Cortical Dysplasia Segmentation
Soumen Ghosh, John Phamnguyen, Amit Soni Arya +3
Focal cortical dysplasia (FCD) is one of the leading structural causes of drug-resistant focal epilepsy, yet its subtle and heterogeneous imaging characteristics make accurate iden…
Stress-testing cross-cancer generalizability of 3D nnU-Net for PET-CT tumor segmentation: multi-cohort evaluation with novel oesophageal and lung cancer datasets
Soumen Ghosh, Christine Jestin Hannan, Rajat Vashistha +8
Robust generalization is essential for deploying deep learning based tumor segmentation in clinical PET-CT workflows, where anatomical sites, scanners, and patient populations vary…
The potential role of AI agents in transforming nuclear medicine research and cancer management in India
Rajat Vashistha, Arif Gulzar, Parveen Kundu +3
India faces a significant cancer burden, with an incidence-to-mortality ratio indicating that nearly three out of five individuals diagnosed with cancer succumb to the disease. Whi…