Rajib Chakravorty

Publication Activity (10 Years)

Years Active: 2006-2018
Publications (10 Years): 15

Top Topics

Weakly Supervised

Anatomical Features

Lesion Segmentation

Top Venues

Publications

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)
Dwarikanath Mahapatra, Zongyuan Ge, Suman Sedai, Rajib Chakravorty
Joint Registration And Segmentation Of Xray Images Using Generative Adversarial Networks. MLMI@MICCAI (2018)
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 (2018)
Zongyuan Ge, Dwarikanath Mahapatra, Suman Sedai, Rahil Garnavi, Rajib Chakravorty
Chest X-rays Classification: A Multi-Label and Fine-Grained Problem. CoRR (2018)
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)
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)
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)
Behzad Bozorgtabar, Zongyuan Ge, Rajib Chakravorty, Mani Abedini, Sergey Demyanov, Rahil Garnavi
Investigating deep side layers for skin lesion segmentation. ISBI (2017)
Rajib Chakravorty, Sisi Liang, Mani Abedini, Rahil Garnavi
database. EMBC (2016)
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)
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)
Sergey Demyanov, Rajib Chakravorty, Mani Abedini, Alan Halpern, Rahil Garnavi
Classification of dermoscopy patterns using deep convolutional neural networks. ISBI (2016)
Andrey Kan, John Markham, Rajib Chakravorty, James Bailey, Christopher Leckie
Ranking cell tracking systems without manual validation. Pattern Recognit. Lett. 53 (2015)
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)
Mani Abedini, Stefan von Cavallar, Rajib Chakravorty, Matthew Davis, Rahil Garnavi
A Cloud-Based Infrastructure for Feedback-Driven Training and Image Recognition. MedInfo (2015)
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. Medical Imaging: Digital Pathology (2014)
Andrey Kan, Christopher Leckie, James Bailey, John Markham, Rajib Chakravorty
Measures for ranking cell trackers without manual validation. Pattern Recognit. 46 (11) (2013)
Ravikanth Konda, Rajib Chakravorty, Subhash Challa
Design and analysis of an Event Indicator Function classifier for immune cell tracking applications. AIM (2013)
Ravikanth Konda, Rajib Chakravorty, Subhash Challa
Event Indicator Function classifier for identifying cell tracking errors and phenotypes. IHCI (2012)
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) (2010)
Maen Takruri, Subhash Challa, Rajib Chakravorty
Recursive Bayesian Approaches for Auto Calibration in Drift Aware Wireless Sensor Networks. J. Networks 5 (7) (2010)
Eric Dahai Cheng, Subhash Challa, Rajib Chakravorty
Microscopic Cell Detection Based on Multiple Cell Image Segmentations and Fusion Algorithms. BMEI (2009)
Rajib Chakravorty, Subhash Challa
Multitarget tracking algorithm - Joint IPDA and Gaussian mixture PHD filter. FUSION (2009)
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)
Eric Dahai Cheng, Subhash Challa, Rajib Chakravorty, John Markham
Microscopic cell segmentation by parallel detection and fusion algorithm. MMSP (2008)
Rajib Chakravorty, Darko Musicki, Subhash Challa
A Fixed Lag IPDA Smoothing for Target Tracking in Clutter. FUSION (2006)
Rajib Chakravorty, Subhash Challa
Augmented State Integrated Probabilistic Data Association Smoothing for Automatic Track Initiation in Clutter. J. Adv. Inf. Fusion 1 (1) (2006)