Jaya Sarin Pradhan

National Institute of Technology Jamshedpur — India

Medicine · Health Sciences

7h-index386citations42works0.32yr avg
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Research Topics

Cutaneous Melanoma Detection and Management(18), AI in cancer detection(16), Cell Image Analysis Techniques(16), Immunotherapy and Immune Responses(6), Neurofibromatosis and Schwannoma Cases(6)

Publications42 total

ASCON-Based Mutual Authentication and Secure Surveillance Video Data Management in Smart Cities Using Blockchain
IEEE Transactions on Consumer Electronics·2025· 2 cited
DNA-CBIR: DNA Translation Inspired Codon Pattern-Based Deep Image Feature Extraction for Content-Based Image Retrieval
IEEE Transactions on NanoBioscience·2025· 1 cited
Fusion of ViT-Based Deep Features and Phi-Grid Handcrafted Features for Osteoporosis Detection Using Attention-Infused ResNet MLP and Autoencoder
IEEE Access·2025Open Access
Quadtree-Structured Feature Extraction for Enhanced Forgery Detection in Digital Images
SSRN Electronic Journal·2025Open Access
Figure S1 from A Phase I Study of the Combination of Pexidartinib and Sirolimus to Target Tumor-Associated Macrophages in Unresectable Sarcoma and Malignant Peripheral Nerve Sheath Tumors
2024Open Access
Figure S2 from A Phase I Study of the Combination of Pexidartinib and Sirolimus to Target Tumor-Associated Macrophages in Unresectable Sarcoma and Malignant Peripheral Nerve Sheath Tumors
2024Open Access
Table S2 from A Phase I Study of the Combination of Pexidartinib and Sirolimus to Target Tumor-Associated Macrophages in Unresectable Sarcoma and Malignant Peripheral Nerve Sheath Tumors
2024Open Access
Table S1 from A Phase I Study of the Combination of Pexidartinib and Sirolimus to Target Tumor-Associated Macrophages in Unresectable Sarcoma and Malignant Peripheral Nerve Sheath Tumors
2024Open Access
Data from A Phase I Study of the Combination of Pexidartinib and Sirolimus to Target Tumor-Associated Macrophages in Unresectable Sarcoma and Malignant Peripheral Nerve Sheath Tumors
2024Open Access
Supplementary Data from Deep Learning Based on Standard H&E Images of Primary Melanoma Tumors Identifies Patients at Risk for Visceral Recurrence and Death
2023Open Access
Supplementary Data from Deep Learning Based on Standard H&E Images of Primary Melanoma Tumors Identifies Patients at Risk for Visceral Recurrence and Death
2023Open Access
Data from Deep Learning Based on Standard H&E Images of Primary Melanoma Tumors Identifies Patients at Risk for Visceral Recurrence and Death
2023Open Access
Supplementary Data from Deep Learning Based on Standard H&E Images of Primary Melanoma Tumors Identifies Patients at Risk for Visceral Recurrence and Death
2023Open Access
Supplementary Data from Deep Learning Based on Standard H&E Images of Primary Melanoma Tumors Identifies Patients at Risk for Visceral Recurrence and Death
2023Open Access
Supplementary Data from Deep Learning Based on Standard H&E Images of Primary Melanoma Tumors Identifies Patients at Risk for Visceral Recurrence and Death
2023Open Access
Supplementary Data from Deep Learning Based on Standard H&E Images of Primary Melanoma Tumors Identifies Patients at Risk for Visceral Recurrence and Death
2023Open Access
Supplementary Data from Deep Learning Based on Standard H&E Images of Primary Melanoma Tumors Identifies Patients at Risk for Visceral Recurrence and Death
2023Open Access
Supplementary Data from Deep Learning Based on Standard H&E Images of Primary Melanoma Tumors Identifies Patients at Risk for Visceral Recurrence and Death
2023Open Access
Supplementary Data from Deep Learning Based on Standard H&E Images of Primary Melanoma Tumors Identifies Patients at Risk for Visceral Recurrence and Death
2023Open Access
Supplementary Data from Deep Learning Based on Standard H&E Images of Primary Melanoma Tumors Identifies Patients at Risk for Visceral Recurrence and Death
2023Open Access
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Frequent Co-authors

Yvonne M. Saenger(26), Emanuelle M. Rizk(22), Larisa J. Geskin(21), Basil A. Horst(19), Megan H. Trager(18), Balázs Ács(17), David L. Rimm(17), Prathamesh M. Kulkarni(16), Eric Robinson(16), Bethany R. Rohr(16), Pok Fai Wong(16), Robert Phelps(16), Tammie Ferringer(16), Harriet M. Kluger(15), Iman Osman(15), Zhe Chen(15), Yang Chen(15), Robyn D. Gartrell‐Corrado(15), Manas Mondal(14), Robyn D. Gartrell(10)