| Systematic analysis of satellite image-based land cover classification techniques: literature review and challenges AB Gavade, VS Rajpurohit International Journal of Computers and Applications 43 (6), 514-523, 2019 | 26 | 2019 |
| Super resolution image reconstruction by using Bicubic interpolation [C] AB Gavade, P Sane ATEES 2014 National Conference, at Belgaum, 2014 | 17 | 2014 |
| Automated diagnosis of prostate cancer using mpmri images: A deep learning approach for clinical decision support AB Gavade, R Nerli, N Kanwal, PA Gavade, SS Pol, STH Rizvi Computers 12 (8), 152, 2023 | 13 | 2023 |
| Sparse-FCM and deep learning for effective classification of land area in multi-spectral satellite images AB Gavade, VS Rajpurohit Evolutionary Intelligence 15 (2), 1185-1201, 2022 | 7 | 2022 |
| A hybrid optimization-based deep belief neural network for the classification of vegetation area in multi-spectral satellite image AB Gavade, VS Rajpurohit International Journal of Knowledge-based and Intelligent Engineering Systems …, 2021 | 7 | 2021 |
| An algorithmic approach for multispectral image quality assessment BS Kullolli, VS Rajpurohit, BG Anil International Journal of Current Engineering and Technology 9, 209-214, 2013 | 5 | 2013 |
| Satellite image classification and feature extraction using various classification techniques: A survey AM Marnur, AB Gavade Int. J. Adv. Res. Ideas Innov. Technol ISSN 4 (3), 2454-3132, 2018 | 4 | 2018 |
| Productivity Estimation and Conditon Assessement of horticulture Crop from Satellite Based High Resolution Imagery: A Review AB Gavade, VS Rajpurohi NRSC ISRO UIM-2013, 2013 | 4 | 2013 |
| Cancer cell detection and classification from digital whole slide image AB Gavade, RB Nerli, S Ghagane, PA Gavade, VSP Bhagavatula Smart Technologies in Data Science and Communication: Proceedings of SMART …, 2023 | 3 | 2023 |
| Enhancing Prostate Cancer Diagnosis with Deep Learning: A Study using mpMRI Segmentation and Classification AB Gavade, N Kanwal, PA Gavade, R Nerli arXiv preprint arXiv:2310.05371, 2023 | 2 | 2023 |
| SINGLE FRAME IMAGE RESOLUTION ENHANCEMENT USING SUPER RESOLUTION AB Gavade, VS Rajpurohit | 2 | 2015 |
| Lesion detection and classification using sematic deep segmentation network AB Gavade, RB Nerli, S Ghagane Smart Technologies in Data Science and Communication: Proceedings of SMART …, 2021 | 1 | 2021 |
| S-DolLion-MSVNN: A Hybrid Model for Developing the Super-Resolution Image From the Multispectral Satellite Image AB Gavade, VS Rajpurohit The Computer Journal, Oxford Journals, UK, 2020 | 1 | 2020 |
| Image Object Classification and Identification using Soft Computing Tolls: A Review N Usulkar, VV Desai, AB Gavade | 1 | 2016 |
| Deep Learning Techniques for Cancer Detection using Histopathological Images RBN Anil B. Gavadea, Priyanka A. Gavade, Amey Kurade, Shridhar Sunilkumar ... IoT-WSN-DT Based Medical Systems and Nanotechnology for Smart Cancer Care …, 2025 | | 2025 |
| Explainable AI in Transforming Land Use Land Cover Classification PAG Anil B. Gavade Springer, 2025 | | 2025 |
| Beyond Single Models: Hybrid Approaches for Multiclass Cancer Identification AKPRP Kartik A. Gadad, Anil B. Gavade, Parth V. Patil 3rd International Conference for Advancement in Technology (ICONAT), 2024 | | 2024 |
| Prostate cancer segmentation of peripheral zone and central gland regions in mpMRI: comparative analysis with deep neural network U-Net and its advanced models AB Gavade, RB Nerli, PB Patil, RR Siddannavar, VSP Bhagavatula, ... Image Processing with Python: A practical approach, 7-1-7-26, 2024 | | 2024 |
| Revolutionizing Prostate Whole-Slide Image Super-Resolution: A Comparative Journey from Regression to Generative Adversarial Networks AB Gavade, KA Gadad, PA Gavade, RB Nerli, N Kanwal Uro 4 (3), 89-103, 2024 | | 2024 |
| Artificial Intelligence and Histopathological Diagnosis of Prostate Cancer RB Nerli, SC Ghagane, A Gavade Journal of the Scientific Society 51 (2), 153-156, 2024 | | 2024 |
Vijay RajpurohitProfessor of Computer Science , KLS Gogte Institute of Technology, BELAGAVIVerified email at git.edu
