Pallab Kanti Roy

According to our database, Pallab Kanti Roy authored at least 17 papers between 2013 and 2017.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2017

Skin lesion segmentation using deep convolution networks guided by local unsupervised learning.

Behzad Bozorgtabar, Suman Sedai, Pallab Kanti Roy, Rahil Garnavi

IBM J. Res. Dev., 2017

Multi-stage segmentation of the fovea in retinal fundus images using fully Convolutional Neural Networks.

Suman Sedai, Ruwan B. Tennakoon, Pallab Kanti Roy, Khoa Cao, Rahil Garnavi

Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

A novel hybrid approach for severity assessment of Diabetic Retinopathy in colour fundus images.

Pallab Kanti Roy, Ruwan B. Tennakoon, Khoa Cao, Suman Sedai, Dwarikanath Mahapatra, Stefan Maetschke, Rahil Garnavi

Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

2016

A novel computer aided quantification method of focal arteriolar narrowing using colour retinal image.

Pallab Kanti Roy, Alauddin Bhuiyan, Kim Lee, Tien Yin Wong, Kotagiri Ramamohanarao

Comput. Biol. Medicine, 2016

Retinal Image Quality Classification Using Saliency Maps and CNNs.

Dwarikanath Mahapatra, Pallab Kanti Roy, Suman Sedai, Rahil Garnavi

Proceedings of the Machine Learning in Medical Imaging - 7th International Workshop, 2016

Segmentation of optic disc and optic cup in retinal fundus images using shape regression.

Suman Sedai, Pallab Kanti Roy, Dwarikanath Mahapatra, Rahil Garnavi

Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

A CNN based neurobiology inspired approach for retinal image quality assessment.

Dwarikanath Mahapatra, Pallab Kanti Roy, Suman Sedai, Rahil Garnavi

Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

Automatic Eye Type Detection in Retinal Fundus Image Using Fusion of Transfer Learning and Anatomical Features.

Pallab Kanti Roy, Rajib Chakravorty, Suman Sedai, Dwarikanath Mahapatra, Rahil Garnavi

Proceedings of the 2016 International Conference on Digital Image Computing: Techniques and Applications, 2016

2015

A white matter lesion load prediction model using retinal micro vascular features.

Pallab Kanti Roy

PhD thesis, 2015

Automatic white matter lesion segmentation using contrast enhanced FLAIR intensity and Markov Random Field.

Pallab Kanti Roy, Alauddin Bhuiyan, Andrew L. Janke, Patricia M. Desmond, Tien Yin Wong, Walter P. Abhayaratna, Elsdon Storey, Kotagiri Ramamohanarao

Comput. Medical Imaging Graph., 2015

Segmentation of Right Ventricle in Cardiac MR Images Using Shape Regression.

Suman Sedai, Pallab Kanti Roy, Rahil Garnavi

Proceedings of the Machine Learning in Medical Imaging - 6th International Workshop, 2015

Right ventricle landmark detection using multiscale HOG and random forest classifier.

Suman Sedai, Pallab Kanti Roy, Rahil Garnavi

Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

A robust and reliable quantification method for Focal Arteriolar Narrowing in color retinal image.

Pallab Kanti Roy, Md. Akter Hussain, Alauddin Bhuiyan, Ryo Kawasaki, Kotagiri Ramamohanarao

Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

Multi-atlas label fusion using hybrid of discriminative and generative classifiers for segmentation of cardiac MR images.

Suman Sedai, Rahil Garnavi, Pallab Kanti Roy, Xi Liang

Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

2014

Automated Segmentation of White Matter Lesions Using Global Neighbourhood Given Contrast Feature-Based Random Forest and Markov Random Field.

Pallab Kanti Roy, Alauddin Bhuiyan, Andrew L. Janke, Patricia M. Desmond, Tien Yin Wong, Elsdon Storey, Walter P. Abhayaratna, Kotagiri Ramamohanarao

Proceedings of the 2014 IEEE International Conference on Healthcare Informatics, 2014

An effective automated system for grading severity of retinal arteriovenous nicking in colour retinal images.

Pallab Kanti Roy, Uyen T. V. Nguyen, Alauddin Bhuiyan, Kotagiri Ramamohanarao

Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

2013

Automated segmentation of multiple sclerosis lesion in intensity enhanced flair MRI using texture features and support vector machine.

Pallab Kanti Roy, Alauddin Bhuiyan, Kotagiri Ramamohanarao

Proceedings of the IEEE International Conference on Image Processing, 2013