Rajib Chakravorty
Rajib Chakravorty
Verified email at ausnetservices.com.au
Cited by
Cited by
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
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
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
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
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
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
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
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
Recursive bayesian approaches for auto calibration in drift aware wireless sensor networks
MS Takruri, S Challa, R Chakravorty
Journal of Networks, 2010
Multitarget tracking algorithm-Joint IPDA and Gaussian mixture PHD filter
R Chakravorty, S Challa
2009 12th International Conference on Information Fusion, 316-323, 2009
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
Microscopic cell segmentation and dead cell detection based on cfse and pi images by using distance and watershed transforms
ED Cheng, S Challa, R Chakravorty
2009 Digital Image Computing: Techniques and Applications, 32-39, 2009
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
Medical Image Computing and Computer-Assisted Intervention—MICCAI 2017
Z Ge, S Demyanov, R Chakravorty, A Bowling, R Garnavi, M Descoteaux, ...
Springer International Publishing,, 2017
Improving multiple sclerosis plaque detection using a semiautomated assistive approach
J Van Heerden, D Rawlinson, AM Zhang, R Chakravorty, MA Tacey, ...
American Journal of Neuroradiology 36 (8), 1465-1471, 2015
Microscopic cell segmentation by parallel detection and fusion algorithm
ED Cheng, S Challa, R Chakravorty, J Markham
2008 IEEE 10th Workshop on Multimedia Signal Processing, 94-100, 2008
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
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