| Efficient deep learning model for mitosis detection using breast histopathology images M Saha, C Chakraborty, D Racoceanu Computerized Medical Imaging and Graphics 64, 29-40, 2018 | 222 | 2018 |
| Her2Net: A Deep Framework for Semantic Segmentation and Classification of Cell Membranes and Nuclei in Breast Cancer Evaluation M Saha, C Chakraborty IEEE Transactions on Image Processing 27 (5), 2189 - 2200, 2018 | 201 | 2018 |
| An advanced deep learning approach for Ki-67 stained hotspot detection and proliferation rate scoring for prognostic evaluation of breast cancer M Saha, C Chakraborty, I Arun, R Ahmed, S Chatterjee Scientific reports 7 (1), 3213, 2017 | 120 | 2017 |
| Computer-aided diagnosis of breast cancer using cytological images: A systematic review M Saha, R Mukherjee, C Chakraborty Tissue and Cell 48 (5), 461-474, 2016 | 63 | 2016 |
| Detecting COVID-19 from Chest Computed Tomography Scans using AI-Driven Android Application A Verma, SB Amin, M Naeem, M Saha Computers in Biology and Medicine 143, 2022 | 38 | 2022 |
| Nanoscale surface characterization of human erythrocytes by atomic force microscopy: a critical review R Mukherjee, M Saha, A Routray, C Chakraborty IEEE transactions on nanobioscience 14 (6), 625-633, 2015 | 36 | 2015 |
| Histogram based thresholding for automated nucleus segmentation using breast imprint cytology M Saha, S Agarwal, I Arun, R Ahmed, S Chatterjee, P Mitra, ... Advancements of Medical Electronics: Proceedings of the First International …, 2015 | 25 | 2015 |
| HscoreNet: A Deep network for estrogen and progesterone scoring using breast IHC images M Saha, I Arun, R Ahmed, S Chatterjee, C Chakraborty Pattern Recognition 102, 107200, 2020 | 24 | 2020 |
| Fusion of fully integrated analog machine learning classifier with electronic medical records for real-time prediction of sepsis onset S Sadasivuni, M Saha, N Bhatia, I Banerjee, A Sanyal Scientific reports 12 (1), 5711, 2022 | 19 | 2022 |
| AI-driven quantification of ground glass opacities in lungs of COVID-19 patients using 3D computed tomography imaging M Saha, SB Amin, A Sharma, TKS Kumar, RK Kalia PLoS One 17 (3), e0263916, 2022 | 14 | 2022 |
| TilGAN: GAN for Facilitating Tumor-Infiltrating Lymphocyte Pathology Image Synthesis With Improved Image Classification M Saha, X Guo, A Sharma IEEE Access 9, 79829-79840, 2021 | 12 | 2021 |
| Imprint cytology‐based breast malignancy screening: an efficient nuclei segmentation technique M SAHA, I ARUN, S AGARWAL, R AHMED, S CHATTERJEE, ... Journal of Microscopy, 2017 | 8 | 2017 |
| Quantitative microscopic evaluation of mucin areas and its percentage in mucinous carcinoma of the breast using tissue histological images M Saha, I Arun, B Basak, S Agarwal, R Ahmed, S Chatterjee, R Bhargava, ... Tissue and Cell 48 (3), 265-273, 2016 | 8 | 2016 |
| Near-set based mucin segmentation in histopathology images for detecting mucinous carcinoma S Banerjee, M Saha, I Arun, B Basak, S Agarwal, R Ahmed, S Chatterjee, ... Journal of Medical Systems 41, 1-13, 2017 | 4 | 2017 |
| A deep learning segmentation method to assess dose to organs at risk during breast radiotherapy M Saha, JW Jung, SW Lee, C Lee, C Lee, MM Mille Physics and Imaging in Radiation Oncology, 2023 | 3 | 2023 |
| In-sensor artificial intelligence and fusion with electronic medical records for at-home monitoring S Sadasivuni, M Saha, SP Bhanushali, I Banerjee, A Sanyal IEEE transactions on biomedical circuits and systems 17 (2), 312-322, 2023 | 2 | 2023 |
| TMA-Grid: An open-source, zero-footprint web application for FAIR Tissue MicroArray De-arraying A Ge, M Saha, MA Duggan, P Lenz, M Abubakar, M García-Closas, ... arXiv preprint arXiv:2407.21233, 2024 | | 2024 |
| Abstract LB243: Deep learning-based molecular characterization of lung cancers from never smokers using hematoxylin and eosin-stained whole slide images M Saha, T Zhang, P Bhawsar, W Zhao, J Shi, SR Yang, J Almeida, ... Cancer Research 84 (7_Supplement), LB243-LB243, 2024 | | 2024 |
| Finding Regions of Interest in Whole Slide Images Using Multiple Instance Learning M Afonso, P Bhawsar, M Saha, JS Almeida, AL Oliveira arXiv preprint arXiv:2404.01446, 2024 | | 2024 |
| 3D Deep Neural Network to Improve the Quality and Efficiency of Volumetric Auto-Segmentation of Multiple Organs for Evaluation of Dose to Organs at Risk during Breast Radiotherapy M Saha, JW Jung, W Kenworthy, B Ky, C Lee, ... AAPM 65th Annual Meeting & Exhibition, 2023 | | 2023 |
Prof. Chandan ChakrabortyProfessorVerified email at nitttrkol.ac.in
