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ORCIDPallab Kanti Roy
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2010 – 2019
- 2017
[j3]Behzad Bozorgtabar
, Suman Sedai, Pallab Kanti Roy, Rahil Garnavi:
Skin lesion segmentation using deep convolution networks guided by local unsupervised learning. IBM J. Res. Dev. 61(4-5): 6:1-6:8 (2017)- [c13]Pallab Kanti Roy, Ruwan B. Tennakoon, Khoa Cao, Suman Sedai, Dwarikanath Mahapatra, Stefan Maetschke, Rahil Garnavi:
A novel hybrid approach for severity assessment of Diabetic Retinopathy in colour fundus images. ISBI 2017: 1078-1082 - [c12]Suman Sedai, Ruwan B. Tennakoon, Pallab Kanti Roy, Khoa Cao, Rahil Garnavi:
Multi-stage segmentation of the fovea in retinal fundus images using fully Convolutional Neural Networks. ISBI 2017: 1083-1086 - 2016
- [j2]Pallab Kanti Roy, Alauddin Bhuiyan, Kim Lee, Tien Yin Wong, Kotagiri Ramamohanarao:
A novel computer aided quantification method of focal arteriolar narrowing using colour retinal image. Comput. Biol. Medicine 74: 18-29 (2016) - [c11]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 - [c10]Dwarikanath Mahapatra, Pallab Kanti Roy, Suman Sedai, Rahil Garnavi:
A CNN based neurobiology inspired approach for retinal image quality assessment. EMBC 2016: 1304-1307 - [c9]Suman Sedai, Pallab Kanti Roy, Dwarikanath Mahapatra, Rahil Garnavi:
Segmentation of optic disc and optic cup in retinal fundus images using shape regression. EMBC 2016: 3260-3264 - [c8]Dwarikanath Mahapatra, Pallab Kanti Roy, Suman Sedai, Rahil Garnavi:
Retinal Image Quality Classification Using Saliency Maps and CNNs. MLMI@MICCAI 2016: 172-179 - 2015
- [b1]Pallab Kanti Roy:
A white matter lesion load prediction model using retinal micro vascular features. University of Melbourne, Australia, 2015 - [j1]Pallab Kanti Roy, Alauddin Bhuiyan, Andrew L. Janke, Patricia M. Desmond, Tien Yin Wong, Walter P. Abhayaratna, Elsdon Storey, Kotagiri Ramamohanarao:
Automatic white matter lesion segmentation using contrast enhanced FLAIR intensity and Markov Random Field. Comput. Medical Imaging Graph. 45: 102-111 (2015) - [c7]Suman Sedai, Rahil Garnavi, Pallab Kanti Roy, Xi Liang:
Multi-atlas label fusion using hybrid of discriminative and generative classifiers for segmentation of cardiac MR images. EMBC 2015: 2977-2980 - [c6]Suman Sedai, Pallab Kanti Roy, Rahil Garnavi:
Right ventricle landmark detection using multiscale HOG and random forest classifier. ISBI 2015: 814-818 - [c5]Pallab Kanti Roy, Md. Akter Hussain, Alauddin Bhuiyan, Ryo Kawasaki, Kotagiri Ramamohanarao:
A robust and reliable quantification method for Focal Arteriolar Narrowing in color retinal image. ISBI 2015: 1510-1513 - [c4]Suman Sedai, Pallab Kanti Roy, Rahil Garnavi:
Segmentation of Right Ventricle in Cardiac MR Images Using Shape Regression. MLMI 2015: 1-8 - 2014
- [c3]Pallab Kanti Roy, Uyen T. V. Nguyen, Alauddin Bhuiyan, Kotagiri Ramamohanarao:
An effective automated system for grading severity of retinal arteriovenous nicking in colour retinal images. EMBC 2014: 6324-6327 - [c2]Pallab Kanti Roy, Alauddin Bhuiyan, Andrew L. Janke, Patricia M. Desmond, Tien Yin Wong, Elsdon Storey, Walter P. Abhayaratna, Kotagiri Ramamohanarao:
Automated Segmentation of White Matter Lesions Using Global Neighbourhood Given Contrast Feature-Based Random Forest and Markov Random Field. ICHI 2014: 1-6 - 2013
- [c1]Pallab Kanti Roy, Alauddin Bhuiyan, Kotagiri Ramamohanarao:
Automated segmentation of multiple sclerosis lesion in intensity enhanced flair MRI using texture features and support vector machine. ICIP 2013: 4277-4281
Coauthor Index
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