Awards and Honours:
- 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
Patents:
- 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 [No. 523885]: Immunohistochemical Scope [Granted; Ref No:201831002938/2018-KOL]
Few Significant Publications:
- Rice leaf disease identification and classification using machine learning techniques: A comprehensive review by R Mukherjee, A Ghosh, C Chakraborty, JN De, DP Mishra, Engineering Applications of Artificial Intelligence 139, 109639 (2025).[IF- 7.5]
- CAD-PsorNet: deep transfer learning for computer-assisted diagnosis of skin psoriasis by C Chakraborty, U Achar, S Nayek, A Achar, R Mukherjee, Nature- Scientific Reports 14 (1), 26557 (2024). [IF- 4.6]
- Handloomed fabrics recognition with deep learning by Lipi B Mahanta, Dev R Mahanta, Taibur Rahman, Chandan Chakraborty, Nature - Scientific Reports 14(1):7974. doi: 10.1038/s41598-024-58750-z(2024) [IF- 4.6]
- 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) [IF- 10.6]
- Nanoscale Surface Characterization of Human Erythrocytes by Atomic Force Microscopy: A Critical Review by R. Mukherjee, M. Saha, A. Routray and C. Chakraborty, IEEE Transactions on NanoBioscience, 14(6)625-633 (2015), doi: 10.1109/TNB.2015.2424674 [IF- 3.75]
- Performance Analysis of IEEE 802.15.6 MAC Protocol under Non-Ideal Channel Conditions and Saturated Traffic Regime by S. Sarkar, S. Misra, B. Bandyopadhyay, C. Chakraborty and M. S. Obaidat,IEEE Transactions on Computers, 64(10) 2912-2925 (2015), doi: 10.1109/TC.2015.2389806[IF- 3.7]
- Performance Evaluation and Delay-Power Trade-off Analysis of ZigBee Protocol by S. Moulik, S. Misra and C. Chakraborty,IEEE Transactions on Mobile Computing 18(2) 404-416 (2019) doi: 10.1109/TMC.2018.2836456 [IF- 7.9]
- 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 Recognition102(C)(2020) [IF- 8.518]
- A two-stage mechanism for registration and classification of ECG using Gaussian mixture model by RJ Martis, C Chakraborty, AK Ray,Pattern Recognition,42(11)2979-2988 (2009) [IF- 8.518]
- 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) [IF- 5.7]
- 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 [IF- 6.1]
- 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,Nature Scientific Reports, article no. 3213, doi:10.1038/s41598-017-03405-5, (2017) [IF-4.6]
- Delineation and diagnosis of brain tumors from post contrast T1-weighted MR images using rough granular computing and random forest by S Koley, AK Sadhu, P Mitra, B Chakraborty, C Chakraborty,Applied Soft Computing 41(2016)453-465, [IF- 8.7]
- Application of principal component analysis to ECG signals for automated diagnosis of cardiac health by RJ Martis, UR Acharya, KM Mandana, AK Ray, C Chakraborty,Expert Systems with Applications,(39)14,11792-11800(2012) [IF-8.5]
- 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)[IF-3.6]
- 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)[IF-2.7]
- "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)[IF-2.8]
- 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)[IF-4.4]
- 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, 89:551-560(2017) [IF-7.7]
- 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)
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