Dibyendu Mukherjee
Dibyendu Mukherjee
Epson Canada
Verified email at ieee.org
Cited by
Cited by
A comparative experimental study of image feature detectors and descriptors
D Mukherjee, QMJ Wu, G Wang
Machine Vision and Applications 26 (4), 443-466, 2015
Visualization of conventional outflow tissue responses to netarsudil in living mouse eyes
G Li, D Mukherjee, I Navarro, NE Ashpole, JM Sherwood, J Chang, ...
European journal of pharmacology 787, 20-31, 2016
Evaluation of inner retinal layers as biomarkers in mild cognitive impairment to moderate Alzheimer’s disease
EM Lad, D Mukherjee, SS Stinnett, SW Cousins, GG Potter, JR Burke, ...
PloS one 13 (2), e0192646, 2018
Anatomy and spatial organization of Müller glia in mouse retina
J Wang, ML O’Sullivan, D Mukherjee, VM Puñal, S Farsiu, JN Kay
Journal of Comparative Neurology 525 (8), 1759-1777, 2017
Gaussian Mixture Model with Advanced Distance Measure based on Support Weights and Histogram of Gradients for Background Suppression
D Mukherjee, Q Wu, T Nguyen
Transactions on Industrial Informatics, 1-1, 2013
Multiresolution based Gaussian mixture model for background suppression
D Mukherjee, QMJ Wu, TM Nguyen
IEEE Transactions on Image Processing 22 (12), 5022-5035, 2013
A Bayesian bounded asymmetric mixture model with segmentation application
TM Nguyen, QMJ Wu, D Mukherjee, H Zhang
IEEE Journal of Biomedical and Health Informatics 18 (1), 109-119, 2013
Correlation between macular integrity assessment and optical coherence tomography imaging of ellipsoid zone in macular telangiectasia type 2
D Mukherjee, EM Lad, RR Vann, SJ Jaffe, TE Clemons, M Friedlander, ...
Investigative ophthalmology & visual science 58 (6), BIO291-BIO299, 2017
Stereo matching algorithm based on curvelet decomposition and modified support weights
D Mukherjee, G Wang, QMJ Wu
2010 IEEE International Conference on Acoustics, Speech and Signal …, 2010
Real-timeVideoSegmentation Using Student'stMixture Model
D Mukherjee, QM JonathanWu
Procedia Computer Science 10, 153-160, 2012
Segmentation guided registration of wide field-of-view retinal optical coherence tomography volumes
J Lezama, D Mukherjee, RP McNabb, G Sapiro, AN Kuo, S Farsiu
Biomedical optics express 7 (12), 4827-4846, 2016
A Quantitative Approach to Predict Differential Effects of Anti-VEGF Treatment on Diffuse and Focal Leakage in Patients with Diabetic Macular Edema: A Pilot Study
MJ Allingham, D Mukherjee, EB Lally, H Rabbani, PS Mettu, SW Cousins, ...
Translational Vision Science & Technology 6 (2), 7-7, 2017
A finite mixture model for detail-preserving image segmentation
TM Nguyen, QMJ Wu, D Mukherjee, H Zhang
Signal Processing 93 (11), 3171-3181, 2013
Adaptive sampling of training views
D Mukherjee, J Li, M Brusnitsyn, I Kezele
US Patent 10,769,437, 2020
Open-source, machine and deep learning-based automated algorithm for gestational age estimation through smartphone lens imaging
AD Desai, C Peng, L Fang, D Mukherjee, A Yeung, SJ Jaffe, JB Griffin, ...
Biomedical Optics Express 9 (12), 6038-6052, 2018
Estimation of gestational age via image analysis of anterior lens capsule vascularity in preterm infants: a pilot study
M Patel, D Mukherjee, S Farsiu, B Munoz, AB Blood, CG Wilson, JB Griffin
Frontiers in pediatrics 7, 43, 2019
Multiresolution based sigma-delta for motion segmentation
D Mukherjee, A Saha, QMJ Wu
2012 15th International IEEE Conference on Intelligent Transportation …, 2012
Motion segmentation based on 3d histogram and temporal mode selection
D Mukherjee, QMJ Wu
2012 IEEE International Conference on Multimedia and Expo Workshops, 483-488, 2012
An online unsupervised feature selection and its application for background suppression
TM Nguyen, QMJ Wu, D Mukherjee
2015 12th Conference on Computer and Robot Vision, 161-168, 2015
Streaming spatio-temporal video segmentation using gaussian mixture model
D Mukherjee, QMJ Wu
2014 IEEE International Conference on Image Processing (ICIP), 4388-4392, 2014
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