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
Medical Image Computing and Computer Assisted Intervention− MICCAI 2017 …, 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
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
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
Joint registration and segmentation of xray images using generative adversarial networks
D Mahapatra, Z Ge, S Sedai, R Chakravorty
Machine Learning in Medical Imaging: 9th International Workshop, MLMI 2018 …, 2018
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
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
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
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
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
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
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
Machine Learning in Medical Imaging: 9th International Workshop, MLMI 2018 …, 2018
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 (1), 321974, 2014
Annotation of skin image using learned feature representation
M Abedini, R Chakravorty, R Garnavi, M Hayat
US Patent 9,886,758, 2018
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
Imaging segmentation using multi-scale machine learning approach
M Abedini, R Chakravorty, R Garnavi, M Hayat
US Patent US9684967B2, 2017
Recursive bayesian approaches for auto calibration in drift aware wireless sensor networks
MS Takruri, S Challa, R Chakravorty
Journal of Networks, 2010
Dermatologist-Like Feature Extraction from Skin Lesion for Improved Asymmetry Classification in PH^2 Database
R Chakravorty, S Liang, M Abedini, R Garnavi
38th Annual International Conference of the IEEE Engineering in Medicine and …, 0
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
Personality based sentiment analysis of textual information written in natural language
N Alam, R Chakravorty, L Ghahremanlou, JAM Ortiz, DV Palani
US Patent 10,489,509, 2019
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