Prateek Prasanna

Jawaharlal Nehru Technological University, Hyderabad — India

Medicine · Health Sciences

33h-index6.2kcitations286works2.72yr avg
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Research Topics

Radiomics and Machine Learning in Medical Imaging(150), AI in cancer detection(67), Glioma Diagnosis and Treatment(39), Medical Imaging Techniques and Applications(25), MRI in cancer diagnosis(25)

Publications283 total

PEaRL: Pathway-Enhanced Representation Learning for Gene and Pathway Expression Prediction from Histology
arXiv (Cornell University)·2025Open Access
Extended reality in the changing landscape of cranial neurosurgery: Role of image fusions and connectomics in precision and safety
Journal of Clinical Neuroscience·2025· 1 cited
SoC-DT: Standard-of-Care Aligned Digital Twins for Patient-Specific Tumor Dynamics
arXiv (Cornell University)·2025Open Access
Anatomy-DT: A Cross-Diffusion Digital Twin for Anatomical Evolution
arXiv (Cornell University)·2025Open Access
Performance Comparison of Cutting-Edge Large Language Models on the ACR In-Training Examination: An Update for 2025
Academic Radiology·2025· 1 cited
SuperDiff: A diffusion super-resolution method for digital pathology with comprehensive quality assessment
Medical Image Analysis·2025· 3 cited
Pathology Image Compression with Pre-trained Autoencoders
Lecture notes in computer science·2025
NeuroRAD-FM: A Foundation Model for Neuro-Oncology with Distributionally Robust Training
arXiv (Cornell University)·2025Open Access
Examination of The Process Parameters for Machining Nimonic Alloy 75 on WEDM with A Cryogenically Treated Tool
International Journal of Basic and Applied Sciences·2025Open Access
MQL turning processing of EN24 alloy steel material with novel textured tools
Materials and Manufacturing Processes·2025
Magnetic Resonance Imaging Radiomic Analysis of Radiation-Induced Morphea of the Breast: A Proof-of-Concept Study
Advances in Radiation Oncology·2025Open Access
Figure S7 from Eco-Evolutionary Guided Pathomic Analysis Detects Biomarkers to Predict Ductal Carcinoma <i>In Situ</i> Upstaging
2025Open Access
Data from Eco-Evolutionary Guided Pathomic Analysis Detects Biomarkers to Predict Ductal Carcinoma <i>In Situ</i> Upstaging
2025Open Access
Figure S3 from Eco-Evolutionary Guided Pathomic Analysis Detects Biomarkers to Predict Ductal Carcinoma <i>In Situ</i> Upstaging
2025Open Access
Figure S4 from Eco-Evolutionary Guided Pathomic Analysis Detects Biomarkers to Predict Ductal Carcinoma <i>In Situ</i> Upstaging
2025Open Access
Figure S2 from Eco-Evolutionary Guided Pathomic Analysis Detects Biomarkers to Predict Ductal Carcinoma <i>In Situ</i> Upstaging
2025Open Access
Figure S1 from Eco-Evolutionary Guided Pathomic Analysis Detects Biomarkers to Predict Ductal Carcinoma <i>In Situ</i> Upstaging
2025Open Access
Figure S5 from Eco-Evolutionary Guided Pathomic Analysis Detects Biomarkers to Predict Ductal Carcinoma <i>In Situ</i> Upstaging
2025Open Access
Figure S6 from Eco-Evolutionary Guided Pathomic Analysis Detects Biomarkers to Predict Ductal Carcinoma <i>In Situ</i> Upstaging
2025Open Access
Enhancing SAM with Efficient Prompting and Preference Optimization for Semi-supervised Medical Image Segmentation
2025· 3 cited
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Frequent Co-authors

Anant Madabhushi(30), Pallavi Tiwari(15), Niha Beig(14), Kaustav Bera(13), Vamsidhar Velcheti(10), Amit Gupta(8), Nathaniel Braman(7), Gagandeep Singh(7), Mehdi Alilou(6), Virginia Hill(6), Rajat Thawani(5), Pingfu Fu(5), Sasan Partovi(5), Joseph Bae(5), Saarthak Kapse(5), Maryam Etesami(4), Donna Plecha(4), Salendra Singh(4), Vinay Varadan(4), Mohammadhadi Khorrami(4)