ISCA Young Scientist Award from Hon'ble President of India Dr APJ Abdul Kalam
DAE-Young Scientist Research Award, Dept. of Atomic Energy, Govt. of India
DST Fast Track Young Scientist Award
IBM Faculty Award, New York, USA
Outstanding Faculty Award by Venus International Foundation, India
IBM-Shared University Research Award, New York, USA
Highly Cited Research Award by Elsevier
BIRAC-SRISTI Gandhian Young Technological Innovation Award
US Patent : Method and system for detection of oral sub-mucous fibrosis using microscopic image analysis of oral biopsy samples [Granted: US2010/0111398A1]
US Patent : Method and system for analyzing breast carcinoma using microscopic image analysis of fine needle aspirates [Granted: US2010/0111397A1]
Indian Patent: PathoQuant: A portable system for microscopic image acquisition under low-resource framework for histological evaluation [TEMP/E-1/15578/2017-KOL]
Indian Patent: Immunohistochemical Scope [Ref No:201831002938/2018-KOL}
LWSNet - a novel deep-learning architecture to segregate Covid-19 and pneumonia from x-ray imagery by A Lasker, M Ghosh, SM Obaidullah, C Chakraborty & K Roy,Multimedia Tools and Applications 82(14)(2023)
Application of Machine Learning and Deep Learning Techniques for COVID-19 Screening Using Radiological Imaging: A Comprehensive Review by A Lasker, SM Obaidullah, C Chakraborty & K Roy, SN Computer Science 4(1): 65(2023)
Automated recognition of optical image based potato leaf blight diseases using deep learning by KK Chakraborty, R Mukherjee, C Chakroborty, K Bora,Physiological and Molecular Plant Pathology, 117 (2022)
HscoreNet: A Deep network for estrogen and progesterone scoring using breast IHC images by M Saha, I Arun, R Ahmed, S Chatterjee, C Chakraborty,Pattern Recognition(2020)
Her2Net: A Deep Framework for Semantic Segmentation and Classification of Cell Membranes and Nuclei in Breast Cancer Evaluation by M Saha,C Chakraborty,IEEE Transactions on Image Processing, 27(5): 2189-2200 (2018)
Efficient Deep Learning Model for Mitosis Detection using Breast Histopathology Images by M Saha, C Chakraborty, R. Daniel,Computerized Medical Imaging and Graphics, 64: 29-40(2018)
"Omics" in oral cancer: New approaches for biomarker discovery by V Rai, R Mukherjee, AK. Ghosh, A Routray, C Chakraborty,Archives of Oral Biology, 87: 15-34 (2018)
Serum-based diagnostic prediction of oral submucous fibrosis using FTIR spectrometry by V Rai, R Mukherjee, A Routray, AK Ghosh, S Roy, BPaul Ghosh, PB Mandal, S Bose, C Chakraborty,Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 15;189:322-329 (2017)
Fuzzy spectral clustering for automated delineation of chronic wound region using digital images by DM Dhane, M Maiti, T Mungle, C Bar, A Achar, M Kolekar, C Chakraborty,Computers in Biology and Medicine (Elsevier), 89:551-560 (2017)
Automated characterization and counting of Ki-67 protein for breast cancer prognosis: A quantitative immunohistochemistry approach by T Mungle, S Tewary, I Arun, B Basak, S Agarwal, R Ahmed, S Chatterjee, A K Maity, C Chakraborty,Computer Methods & Programs in Biomedicine (Elsevier), (2017)139:149-161. doi: 10.1016/j.cmpb.2016.11.002
An Advanced Deep Learning Approach for Ki-67 Stained Hotspot Detection and Proliferation Rate Scoring for Prognostic Evaluation of Breast Cancer by M Saha, C Chakraborty, I Arun, R Ahmed, S Chatterjee,Scientific Reports - (Nature), article no. 3213, doi:10.1038/s41598-017-03405-5, (2017).
SmartIHC-Analyzer: Smartphone assisted microscopic image analytics for automated Ki-67 quantification in breast cancer evaluation by S Tewary, I Arun, R Ahmed, S Chatterjee, C Chakraborty,Analytical Methods (RSC Pub.), 43 DOI: 10.1039/C7AY02302B (2017)
Computational Approach for Mitotic Cell Detection and its Application in Oral Squamous Cell Carcinoma by DK Das, P Mitra, C Chakraborty, S Chatterjee, AK Maiti, S Bose, Multidimensional Systems and Signal Processing (Springer), 28(3) 1031-1050 (2017)
MRF-ANN: A Machine Learning Approach for Automated ER Scoring of Breast Cancer Immunohistochemical Images by T Mungle, S Tewary, DK Das, I Arun, B Basak, S Agarwal, R Ahmed, S Chatterjee, C Chakraborty, Journal of Microscopy (Willey), 267(2):117-129 (2017)
Imprint Cytology-based Breast Malignancy Screening: An Efficient Nuclei Segmentation Technique by M Saha, I Arun, R Ahmed, S Chatterjee, C Chakraborty, Journal of Microscopy (Willey),268(2):155-171 (2017)
Automated Identification of Normoblast Cell from Human Peripheral Blood Smear Image by D Das, AK Maiti, C Chakraborty,Journal of Microscopy (Willey),269(3):310-320 (2017)
Near-set based mucin segmentation in histopathology images for detecting mucinous carcinoma by S Banerjee, M Saha, I Arun, B Basak, S Agawal, R Ahmed, S Chatterjee, LB Mahanta, C Chakraborty,Journal of Medical Systems (Springer), 41(9):144 (2017)
