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Name - Nitin Bhagawat Pawar (22ENG7CSE0009)

Branch - Computer Science & Engineering

Faculty - Faculty of Engineering & Technology

Date of Registration - 12th November 2022

Supervisor - Dr. Hemang Shrivastava, Professor.

Date of Ph.D. Viva - 6th April 2026 (Monday) at 03.00 PM

Title - Design A Hybrid Model for Brain Tumor Classification and Prediction of Survival Rate using Deep Learning


[1]. Nitin B. Pawar and Dr. Hemang Shrivastava, “A Comprehensive Review of Brain Tumor Detection Using Machine Learning and Deep Learning: Challenges, Gaps and Future Directions”, Journal of Electrical Systems, ISSN: 1112-5209; Vol 20: Issue 11s(2024). DOI: https://doi.org/10.52783/jes.8090.

[2]. Nitin Pawar and Dr. Hemang Shrivastava, “TumorXNet++: Comparative Evaluation of Hybrid Deep Learning Architectures for Brain Tumor Detection Using Enhanced Preprocessing”, Journal of Applied Research and Technology, E-ISSN:2448-6736 (2025).

[3]. Nitin B. Pawar, Dr. Hemang Shrivastava, Dr. Rajesh K. Nagar, “Experimental Evaluation of Multi-Modal U-Net for Brain Tumor Segmentation on BraTS 2021 MRI Dataset”, International Journal of Applied Mathematics, E-ISSN:1314-8060; Vol. 38: Issue 6s (2025). DOI: https://doi.org/10.12732/ijam.v38i6s.1778.

[4]. Nitin B. Pawar and Dr. Hemang Shrivastava, “Tumorxnet++- ROI: Region-Of-Interest–Driven Deep Learning Framework For Tumor Size Estimation And Survival Prediction In Brain MRI”, International Journal of Advances in Signal and Image Sciences E-ISSN:2457-0370; Vol. 12: Issue 2s (2026). DOI: https://doi.org/10.29284/58t47359.

[5]. Nitin Pawar and Dr. Hemang Shrivastava, “Evaluation of MRI Enhancement and Segmentation Techniques for Brain Tumor Detection”, IEEE 2025 World Conference on Cutting-Edge Science and Technology (WCCEST), Indore, India, 2025, pp. 1-6. DOI:10.1109/WCCEST66994.2025.11389950.