Priyanka Tupe-Waghmare

Radiomics on routine T1-weighted MRI can delineate Parkinson’s disease from multiple system atrophy and progressive supranuclear palsy

Priyanka Tupe-Waghmare, Archith Rajan, Shweta Prasad et al. · European Radiology · 2021 · 45 citations

Medicine, Neurology, Radiology +17

Comprehensive Genomic Subtyping of Glioma Using Semi-Supervised Multi-Task Deep Learning on Multimodal MRI

Priyanka Tupe-Waghmare, Piyush Malpure, Ketan Kotecha et al. · IEEE Access · 2021 · 28 citations · Full text

Medicine, Neuroscience, Oncology +17

A Deep Learning Hybrid Approach for Automated Leaf Disease Identification in Paddy Crops

Navaneeth Bhaskar, Pratiksha Churya A, Priyanka Tupe-Waghmare et al. · 2024 · 22 citations

Agriculture, Computer Science, Crop Sciences +16

Predictive and discriminative localization of pathology using high resolution class activation maps with CNNs

Sumeet Shinde, Priyanka Tupe-Waghmare, Tanay Chougule et al. · PeerJ Computer Science · 2021 · 15 citations · Full text

Computing, Pathology, Computer Vision +16

Computer-aided automated detection of kidney disease using supervised learning technique

Navaneeth Bhaskar, Priyanka Tupe-Waghmare, Shobha S. Nikam et al. · International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering · 2023 · 14 citations · Full text

Medicine, Health Informatics, Nephrology +17