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Rajib Chakravorty
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Journal Articles
- 2015
- [j5]Andrey Kan, John Markham, Rajib Chakravorty, James Bailey, Christopher Leckie:
Ranking cell tracking systems without manual validation. Pattern Recognit. Lett. 53: 38-43 (2015) - 2013
- [j4]Andrey Kan, Christopher Leckie, James Bailey, John Markham, Rajib Chakravorty:
Measures for ranking cell trackers without manual validation. Pattern Recognit. 46(11): 2849-2859 (2013) - 2010
- [j3]Sajib Chakraborty, Rajib Chakravorty, Musaddeque Ahmed, Atiqur Rahman, T. M. Zaved Waise, Faizule Hassan, Mustafizur Rahman, Sohel Shamsuzzaman:
A Computational Approach for Identification of Epitopes in Dengue Virus Envelope Protein: A Step Towards Designing a Universal Dengue Vaccine Targeting Endemic Regions. Silico Biol. 10(5-6): 235-246 (2010) - [j2]Maen Takruri, Subhash Challa, Rajib Chakravorty:
Recursive Bayesian Approaches for Auto Calibration in Drift Aware Wireless Sensor Networks. J. Networks 5(7): 823-832 (2010) - 2006
- [j1]Rajib Chakravorty, Subhash Challa:
Augmented State Integrated Probabilistic Data Association Smoothing for Automatic Track Initiation in Clutter. J. Adv. Inf. Fusion 1(1): 63-74 (2006)
Conference and Workshop Papers
- 2018
- [c20]Dwarikanath Mahapatra, Zongyuan Ge, Suman Sedai, Rajib Chakravorty:
Joint Registration And Segmentation Of Xray Images Using Generative Adversarial Networks. MLMI@MICCAI 2018: 73-80 - [c19]Suman Sedai, Dwarikanath Mahapatra, Zongyuan Ge, Rajib Chakravorty, Rahil Garnavi:
Deep Multiscale Convolutional Feature Learning for Weakly Supervised Localization of Chest Pathologies in X-ray Images. MLMI@MICCAI 2018: 267-275 - 2017
- [c18]Behzad Bozorgtabar, Zongyuan Ge, Rajib Chakravorty, Mani Abedini, Sergey Demyanov, Rahil Garnavi:
Investigating deep side layers for skin lesion segmentation. ISBI 2017: 256-260 - [c17]Sergey Demyanov, Rajib Chakravorty, Zongyuan Ge, SeyedBehzad Bozorgtabar, Michelle Pablo, Adrian Bowling, Rahil Garnavi:
Tree-loss function for training neural networks on weakly-labelled datasets. ISBI 2017: 287-291 - [c16]Zongyuan Ge, Sergey Demyanov, Behzad Bozorgtabar, Mani Abedini, Rajib Chakravorty, Adrian Bowling, Rahil Garnavi:
Exploiting local and generic features for accurate skin lesions classification using clinical and dermoscopy imaging. ISBI 2017: 986-990 - [c15]Zongyuan Ge, Sergey Demyanov, Rajib Chakravorty, Adrian Bowling, Rahil Garnavi:
Skin Disease Recognition Using Deep Saliency Features and Multimodal Learning of Dermoscopy and Clinical Images. MICCAI (3) 2017: 250-258 - 2016
- [c14]Pallab Kanti Roy, Rajib Chakravorty, Suman Sedai, Dwarikanath Mahapatra, Rahil Garnavi:
Automatic Eye Type Detection in Retinal Fundus Image Using Fusion of Transfer Learning and Anatomical Features. DICTA 2016: 1-7 - [c13]Mani Abedini, Noel C. F. Codella, Rajib Chakravorty, Rahil Garnavi, David A. Gutman, Brian Helba, John R. Smith:
Multi-scale classification based lesion segmentation for dermoscopic images. EMBC 2016: 1361-1364 - [c12]Rajib Chakravorty, Sisi Liang, Mani Abedini, Rahil Garnavi:
Dermatologist-like feature extraction from skin lesion for improved asymmetry classification in PH2 database. EMBC 2016: 3855-3858 - [c11]Sergey Demyanov, Rajib Chakravorty, Mani Abedini, Alan Halpern, Rahil Garnavi:
Classification of dermoscopy patterns using deep convolutional neural networks. ISBI 2016: 364-368 - 2015
- [c10]Suman Sedai, Xi Liang, Mani Abedini, Qiang Chen, Rajib Chakravorty, Rahil Garnavi:
IBM Research at Image CLEF 2015: Medical Clustering Task. CLEF (Working Notes) 2015 - [c9]Mani Abedini, Stefan von Cavallar, Rajib Chakravorty, Matthew Davis, Rahil Garnavi:
A Cloud-Based Infrastructure for Feedback-Driven Training and Image Recognition. MedInfo 2015: 691-695 - 2014
- [c8]Hayley M. Reynolds, Scott Williams, Alan M. Zhang, Cheng Soon Ong, David Rawlinson, Rajib Chakravorty, Catherine Mitchell, Annette Haworth:
Cell density in prostate histopathology images as a measure of tumor distribution. Digital Pathology 2014: 90410S - 2013
- [c7]Ravikanth Konda, Rajib Chakravorty, Subhash Challa:
Design and analysis of an Event Indicator Function classifier for immune cell tracking applications. AIM 2013: 199-205 - 2012
- [c6]Ravikanth Konda, Rajib Chakravorty, Subhash Challa:
Event Indicator Function classifier for identifying cell tracking errors and phenotypes. IHCI 2012: 1-7 - 2009
- [c5]Eric Dahai Cheng, Subhash Challa, Rajib Chakravorty:
Microscopic Cell Detection Based on Multiple Cell Image Segmentations and Fusion Algorithms. BMEI 2009: 1-7 - [c4]Eric Dahai Cheng, Subhash Challa, Rajib Chakravorty:
Microscopic Cell Segmentation and Dead Cell Detection Based on CFSE and PI Images by Using Distance and Watershed Transforms. DICTA 2009: 32-39 - [c3]Rajib Chakravorty, Subhash Challa:
Multitarget tracking algorithm - Joint IPDA and Gaussian mixture PHD filter. FUSION 2009: 316-323 - 2008
- [c2]Eric Dahai Cheng, Subhash Challa, Rajib Chakravorty, John Markham:
Microscopic cell segmentation by parallel detection and fusion algorithm. MMSP 2008: 94-100 - 2006
- [c1]Rajib Chakravorty, Darko Musicki, Subhash Challa:
A Fixed Lag IPDA Smoothing for Target Tracking in Clutter. FUSION 2006: 1-5
Informal and Other Publications
- 2018
- [i2]Zongyuan Ge, Dwarikanath Mahapatra, Suman Sedai, Rahil Garnavi, Rajib Chakravorty:
Chest X-rays Classification: A Multi-Label and Fine-Grained Problem. CoRR abs/1807.07247 (2018) - [i1]Suman Sedai, Dwarikanath Mahapatra, Zongyuan Ge, Rajib Chakravorty, Rahil Garnavi:
Deep multiscale convolutional feature learning for weakly supervised localization of chest pathologies in X-ray images. CoRR abs/1808.08280 (2018)
Coauthor Index
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