Rajib Chakravorty
Rajib Chakravorty
Systema AI
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Skin disease recognition using deep saliency features and multimodal learning of dermoscopy and clinical images
Z Ge, S Demyanov, R Chakravorty, A Bowling, R Garnavi
International conference on medical image computing and computer-assisted …, 2017
Classification of dermoscopy patterns using deep convolutional neural networks
S Demyanov, R Chakravorty, M Abedini, A Halpern, R Garnavi
2016 IEEE 13th International symposium on biomedical imaging (ISBI), 364-368, 2016
A computational approach for identification of epitopes in dengue virus envelope protein: a step towards designing a universal dengue vaccine targeting endemic regions
S Chakraborty, R Chakravorty, M Ahmed, A Rahman, TM Waise, ...
In silico biology 10 (5-6), 235-246, 2010
Comparative network clustering of direct repeats (DRs) and cas genes confirms the possibility of the horizontal transfer of CRISPR locus among bacteria
S Chakraborty, AP Snijders, R Chakravorty, M Ahmed, AM Tarek, ...
Molecular Phylogenetics and Evolution 56 (3), 878-887, 2010
In silico QSAR analysis of quercetin reveals its potential as therapeutic drug for Alzheimer's disease
MR Islam, A Zaman, I Jahan, R Chakravorty, S Chakraborty
Journal of Young Pharmacists 5 (4), 173-179, 2013
In silico predicted mycobacterial epitope elicits in vitro T-cell responses
MK Khan, S Zaman, S Chakraborty, R Chakravorty, MM Alam, TR Bhuiyan, ...
Molecular immunology 61 (1), 16-22, 2014
Joint registration and segmentation of xray images using generative adversarial networks
D Mahapatra, Z Ge, S Sedai, R Chakravorty
International Workshop on Machine Learning in Medical Imaging, 73-80, 2018
Exploiting local and generic features for accurate skin lesions classification using clinical and dermoscopy imaging
Z Ge, S Demyanov, B Bozorgtabar, M Abedini, R Chakravorty, A Bowling, ...
2017 IEEE 14th international symposium on biomedical imaging (ISBI 2017 …, 2017
Chest x-rays classification: A multi-label and fine-grained problem
Z Ge, D Mahapatra, S Sedai, R Garnavi, R Chakravorty
arXiv preprint arXiv:1807.07247, 2018
Development of a registration framework to validate MRI with histology for prostate focal therapy
HM Reynolds, S Williams, A Zhang, R Chakravorty, D Rawlinson, CS Ong, ...
Medical physics 42 (12), 7078-7089, 2015
Deep multiscale convolutional feature learning for weakly supervised localization of chest pathologies in x-ray images
S Sedai, D Mahapatra, Z Ge, R Chakravorty, R Garnavi
International Workshop on Machine Learning in Medical Imaging, 267-275, 2018
A Cloud-Based Infrastructure for Feedback-Driven Training and Image Recognition
M Abedini, S Cavallar, R Chakravorty, M Davis, R Garnavi
MedInfo 2015 216, 2015
Automated and semi‐automated cell tracking: addressing portability challenges
A Kan, R Chakravorty, J Bailey, C Leckie, J Markham, MR Dowling
Journal of Microscopy 244 (2), 194-213, 2011
Characterization of the protective HIV-1 CTL epitopes and the corresponding HLA class I alleles: A step towards designing CTL based HIV-1 vaccine
S Chakraborty, T Rahman, R Chakravorty
Advances in virology 2014, 2014
Annotation of skin image using learned feature representation
M Abedini, R Chakravorty, R Garnavi, M Hayat
US Patent 9,886,758, 2018
Recursive bayesian approaches for auto calibration in drift aware wireless sensor networks
MS Takruri, S Challa, R Chakravorty
Journal of Networks, 2010
Automatic eye type detection in retinal fundus image using fusion of transfer learning and anatomical features
PK Roy, R Chakravorty, S Sedai, D Mahapatra, R Garnavi
2016 International Conference on Digital Image Computing: Techniques and …, 2016
Imaging segmentation using multi-scale machine learning approach
M Abedini, R Chakravorty, R Garnavi, M Hayat
US Patent US9684967B2, 2017
Augmented State Integrated Probabilistic Data Association Smoothing for Automatic Track Initiation in Clutter.
R Chakravorty, S Challa
J. Adv. Inf. Fusion 1 (1), 63-74, 2006
Multitarget tracking algorithm-Joint IPDA and Gaussian mixture PHD filter
R Chakravorty, S Challa
2009 12th International Conference on Information Fusion, 316-323, 2009
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