Monjoy Saha
Monjoy Saha
Research Scientist; Fellow of DST-Inspire, Raman-Charpak, Newton-Bhabha
Verified email at emory.edu - Homepage
Title
Cited by
Cited by
Year
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
1152018
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
882018
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), 1-14, 2017
662017
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
412016
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
312015
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, 49-57, 2015
222015
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
82016
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
62020
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
62017
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 (9), 1-13, 2017
32017
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
medRxiv, 2021
2021
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
2021
TilGAN: GAN for Facilitating Tumor-Infiltrating Lymphocyte Pathology Image Synthesis with Improved Image Classification
M Saha, X Guo, A Sharma
IEEE Access, 2021
2021
HerNet: An Automated HER-2 Scoring Tool for Breast Cancer Screening using Deep Learning
M Saha, I Arun, C Chakraborty
39th Annual International Conference of the IEEE Engineering in Medicine and …, 2017
2017
Computer-aided detection of diagnostically relevant tubule region in H&E stained breast cancer histopathology images
Monjoy Saha, Rashmi Mukherjee, Rosina Ahmed, Indu Arun, Sanjoy Chatterjee ...
12th International Conference of the Asian Clinical Oncology Society Cancer …, 2016
2016
3D CA model of tumor-induced angiogenesis
M Saha, AK Ray, SK Basu
International Conference on Modeling and Simulation of Diffusive Processes …, 2012
2012
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Articles 1–16