Jyotirmoy Chatterjee
Orcid: 0000-0002-4059-8743
According to our database1,
Jyotirmoy Chatterjee
authored at least 32 papers
between 2006 and 2023.
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Bibliography
2023
Deep Learning based Skin-layer Segmentation for Characterizing Cutaneous Wounds from Optical Coherence Tomography Images.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023
2022
A Multi-Scale Context Aggregation Enriched MLP-Mixer Model for Oral Cancer Screening from Oral Sub-epithelial Connective Tissues.
Proceedings of the 30th European Signal Processing Conference, 2022
2021
Multifractal Alterations in Oral Sub-Epithelial Connective Tissue During Progression of Pre-Cancer and Cancer.
IEEE J. Biomed. Health Informatics, 2021
2020
Quantification of malaria parasitaemia using trainable semantic segmentation and capsnet.
Pattern Recognit. Lett., 2020
Detection of Breast Cancer From Whole Slide Histopathological Images Using Deep Multiple Instance CNN.
IEEE Access, 2020
Proceedings of the 2020 IEEE International Instrumentation and Measurement Technology Conference, 2020
2019
Computer-assisted delineation of hematoma from CT volume using autoencoder and Chan Vese model.
Int. J. Comput. Assist. Radiol. Surg., 2019
Visible Spectrum-based Classification of Malaria Blood Samples on Handheld Spectrometer.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2019
2018
Multiple instance learning of deep convolutional neural networks for breast histopathology whole slide classification.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
2017
Classifying histopathology whole-slides using fusion of decisions from deep convolutional network on a collection of random multi-views at multi-magnification.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017
Learning representations through ensemble of fuzzy c-means for identification of retinal pathologies.
Proceedings of the 1st International Conference on Internet of Things and Machine Learning, 2017
High-Magnification Multi-views Based Classification of Breast Fine Needle Aspiration Cytology Cell Samples Using Fusion of Decisions from Deep Convolutional Networks.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017
A Computer Vision Approach for Lung Cancer Classification Using FNAC-Based Cytological Images.
Proceedings of 2nd International Conference on Computer Vision & Image Processing, 2017
2016
Immersive augmented reality system for assisting needle positioning during ultrasound guided intervention.
Proceedings of the Tenth Indian Conference on Computer Vision, 2016
Methods and System for Segmentation of Isolated Nuclei in Microscopic Breast Fine Needle Aspiration Cytology Images.
Proceedings of the Computer Vision, Graphics, and Image Processing, 2016
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016
2015
Identifying dense subgraphs in protein-protein interaction network for gene selection from microarray data.
Netw. Model. Anal. Health Informatics Bioinform., 2015
Deep learning of tissue specific speckle representations in optical coherence tomography and deeper exploration for in situ histology.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015
Mutually coherent structural representation for image registration through joint manifold embedding and alignment.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015
Deformable registration of immunofluorescence and histology using iterative cross-modal propagation.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015
2014
Joint learning of ultrasonic backscattering statistical physics and signal confidence primal for characterizing atherosclerotic plaques using intravascular ultrasound.
Medical Image Anal., 2014
Comput. Medical Imaging Graph., 2014
Learning scale-space representation of nucleus for accurate localization and segmentation of epithelial squamous nuclei in cervical smears.
Proceedings of IEEE-EMBS International Conference on Biomedical and Health Informatics, 2014
Proceedings of IEEE-EMBS International Conference on Biomedical and Health Informatics, 2014
2013
Detection of retinal vessels in fundus images through transfer learning of tissue specific photon interaction statistical physics.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013
2012
Computer Vision Approach to Morphometric Feature Analysis of Basal Cell Nuclei for Evaluating Malignant Potentiality of Oral Submucous Fibrosis.
J. Medical Syst., 2012
2011
Development of Cardiac Prescreening Device for Rural Population Using Ultralow-Power Embedded System.
IEEE Trans. Biomed. Eng., 2011
2010
IEEE Trans. Consumer Electron., 2010
Statistical tools for evaluating classification efficacy of feature extraction techniques.
Proceedings of the Second International Conference on Digital Image Processing, 2010
2009
Automated classification of cells in sub-epithelial connective tissue of oral sub-mucous fibrosis - An SVM based approach.
Comput. Biol. Medicine, 2009
2006
Quantitative Analysis of Histopathological Features of Precancerous Lesion and Condition Using Image Processing Technique.
Proceedings of the 19th IEEE International Symposium on Computer-Based Medical Systems (CBMS 2006), 2006