2 citations · 2 across the 4 of their papers we have counts for
4 papers
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…
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…
NeuroMorphix: A Novel Brain MRI Asymmetry-specific Feature Construction Approach For Seizure Recurrence Prediction
Soumen Ghosh, Viktor Vegh, Shahrzad Moinian +4
Seizure recurrence is an important concern after an initial unprovoked seizure; without drug treatment, it occurs within 2 years in 40-50% of cases. The decision to treat currently…