Author

I. Bhattacharya

2 papers indexed here

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Preprint Oct 2026

LoRe-MIM: Lost-or-Replaced Masked Image Modeling for Self-Supervised Representation Learning in Whole-Body PET/CT

Deep learning models for whole-body positron emission tomography/computed tomography (PET/CT) hold significant clinical potential for disease detection, treatment planning, and response assessment. However, the time and cost associated with expert annotations remain major bottlenecks in developing robust and generaliza...

Amartya Bhattacharya, B. A. Biswas, B. Wagle et al. · 0 citations

Open access Aug 2026

Augmenting Deep Learning-Based PSMA PET/CT Metastasis Segmentation with a Population-Level Spatial Atlas

Automated lesion segmentation is increasingly central to PSMA PET/CT interpretation, supporting staging, treatment planning, and response assessment at a scale that outpaces available nuclear-medicine expertise. However, automated PSMA-PET/CT whole-body lesion segmentation models are trained on images alone, with no kn...

G. Chau, B. A. Biswas, B. Wagle et al. · medRxiv · 0 citations