Oleg V. Michailovich

发表

Diffusion Propagator Estimation from Sparse Measurements in a Tractography Framework

Borjan Gagoski, P. Ellen Grant, Carl-Fredrik Westin, 2013, MICCAI.

A probabilistic framework for ultrasound image decomposition

Oleg V. Michailovich, Igor V. Solovey, Robert Sheng Xu, 2010, Medical Imaging.

Maximum Entropy Estimation of Glutamate and Glutamine in MR Spectroscopic Imaging

Borjan Gagoski, P. Ellen Grant, Carl-Fredrik Westin, 2014, MICCAI.

On Separation of Signal Sources Using Kernel Estimates of Probability Densities

Oleg V. Michailovich, Douglas Wiens, 2007, ICA.

Biomarkers for Identifying First-Episode Schizophrenia Patients Using Diffusion Weighted Imaging

Carl-Fredrik Westin, Martha Elizabeth Shenton, Yogesh Rathi, 2010, MICCAI.

On Approximation of Orientation Distributions by Means of Spherical Ridgelets

Yogesh Rathi, Oleg V. Michailovich, Y. Rathi, 2008, IEEE Transactions on Image Processing.

2D X-Ray Mammogram and 3D Breast MRI Registration

Oleg V. Michailovich, Hossein Soleimani, 2020, MICCAI.

Orientation distribution estimation for Q-ball imaging

Martha Elizabeth Shenton, Yogesh Rathi, Oleg V. Michailovich, 2008, 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops.

Diffusion Propagator Estimation Using Radial Basis Functions

P. Ellen Grant, Carl-Fredrik Westin, Marc Niethammer, 2013, CDMRI/MMBC@MICCAI.

Iterative Shrinkage Approach to Restoration of Optical Imagery

Oleg V. Michailovich, Elad Shaked, O. Michailovich, 2009, IEEE Transactions on Image Processing.

Multi-shell diffusion signal recovery from sparse measurements

P. Ellen Grant, Carl-Fredrik Westin, Yogesh Rathi, 2014, Medical Image Anal..

On approximation of orientation distributions by means of spherical ridgelets

Yogesh Rathi, Oleg V. Michailovich, 2008, ISBI.

Image Segmentation Using Active Contours Driven by the Bhattacharyya Gradient Flow

Yogesh Rathi, Oleg V. Michailovich, Allen R. Tannenbaum, 2007, IEEE Transactions on Image Processing.

Reconstruction of HARDI using compressed sensing and its application to contrast HARDI

Yogesh Rathi, Oleg V. Michailovich, Sudipto Dolui, 2012, 2012 IEEE Workshop on Mathematical Methods in Biomedical Image Analysis.

Segmentation of Medical Ultrasound Images using Active Contours

Oleg V. Michailovich, Allen R. Tannenbaum, A. Tannenbaum, 2007, 2007 IEEE International Conference on Image Processing.

Fitting Smooth Manifolds to Point Clouds in a Level Set Formulation

Oleg V. Michailovich, Hossein Soleimani, George Poothicottu Jacob, 2019, ICIAR.

Application of probabilistically weighted graphs to image-based diagnosis of Alzheimer's disease using diffusion MRI

Yogesh Rathi, Oleg V. Michailovich, Mark Crowley, 2017, Medical Imaging.

Deconvolution of poissonian images via iterative shrinkage

Oleg V. Michailovich, Elad Shaked, 2010, 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Compressed sensing of diffusion MRI data using spatial regularization and positivity constraints

Yogesh Rathi, Oleg V. Michailovich, Sudipto Dolui, 2011, 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Function-Valued Mappings, Total Variation and Compressed Sensing for diffusion MRI

Edward R. Vrscay, Davide La Torre, Oleg V. Michailovich, 2012, ICIAR.

High quality ultrasonic multi-line transmission through deep learning pdf

Alexander M. Bronstein, Oleg V. Michailovich, Michael Zibulevsky, 2018, MLMIR@MICCAI.

Inter-site and inter-scanner diffusion MRI data harmonization

Peter Savadjiev, Carl-Fredrik Westin, Martha Elizabeth Shenton, 2016, NeuroImage.

Robust extensions to guided image filtering

Oleg V. Michailovich, 2016, Image Processing: Algorithms and Systems.

Spatially Regularized Compressed Sensing for High Angular Resolution Diffusion Imaging

Yogesh Rathi, Oleg V. Michailovich, Sudipto Dolui, 2011, IEEE Transactions on Medical Imaging.

Total Variation Minimization for Measure-Valued Images with Diffusion Spectrum Imaging as Motivation

Edward R. Vrscay, Davide La Torre, Oleg V. Michailovich, 2016, ICIAR.

Image co-registration by minimizing cumulative distortion

Oleg V. Michailovich, Eric B. Lum, 2014, 2014 IEEE 27th Canadian Conference on Electrical and Computer Engineering (CCECE).

Derivative compressive sampling with application to phase unwrapping

Mahdi S. Hosseini, Oleg V. Michailovich, 2009, 2009 17th European Signal Processing Conference.

A filtered approach to neural tractography using the Watson directional function

Carl-Fredrik Westin, Martha Elizabeth Shenton, Yogesh Rathi, 2010, Medical Image Anal..

Phase unwrapping for 2-D blind deconvolution of ultrasound images

Oleg V. Michailovich, Dan Adam, D. Adam, 2004, IEEE Transactions on Medical Imaging.

An Iterative Shrinkage Approach to Total-Variation Image Restoration

Oleg V. Michailovich, O. Michailovich, 2009, IEEE Transactions on Image Processing.

A dual spherical model for multi-shell diffusion imaging

Carl-Fredrik Westin, Yogesh Rathi, Kawin Setsompop, 2014, Medical Imaging.

Image stitching by means of adaptive normalization

Oleg V. Michailovich, 2016, Image Processing: Algorithms and Systems.

A probability tracking approach to segmentation of ultrasound prostate images using weak shape priors

Magdy M. A. Salama, Oleg V. Michailovich, Robert Sheng Xu, 2010, Medical Imaging.

Fast and Accurate Reconstruction of HARDI Data Using Compressed Sensing

Yogesh Rathi, Oleg V. Michailovich, 2010, MICCAI.

A high-resolution technique for ultrasound harmonic imaging using sparse representations in Gabor frames

Oleg V. Michailovich, Dan Adam, D. Adam, 2002, IEEE Transactions on Medical Imaging.

High frame-rate cardiac ultrasound imaging with deep learning pdf

Alexander M. Bronstein, Oleg V. Michailovich, Michael Zibulevsky, 2018, MICCAI.

An Examination of Several Methods of Hyperspectral Image Denoising: Over Channels, Spectral Functions and Both Domains

Edward R. Vrscay, Oleg V. Michailovich, Daniel Otero, 2014, ICIAR.

Rician compressed sensing for fast and stable signal reconstruction in diffusion MRI

Oleg V. Michailovich, Sudipto Dolui, Alan Kuurstra, 2012, Medical Imaging.

A novel approach to the 2-D blind deconvolution problem in medical ultrasound

Oleg V. Michailovich, Dan Adam, D. Adam, 2005, IEEE Transactions on Medical Imaging.

Towards CT-quality Ultrasound Imaging using Deep Learning pdf

Alexander M. Bronstein, Oleg V. Michailovich, Michael Zibulevsky, 2017, ArXiv.

On approximation of smooth functions from samples of partial derivatives with application to phase unwrapping

Oleg V. Michailovich, Allen R. Tannenbaum, A. Tannenbaum, 2008, Signal Process..

Hybrid blind deconvolution of images using variable splitting and proximal point methods

Oleg V. Michailovich, Sudipto Dolui, 2011, 2011 18th IEEE International Conference on Image Processing.

Blind Deconvolution of Medical Ultrasound Images: A Parametric Inverse Filtering Approach

Oleg V. Michailovich, Allen R. Tannenbaum, A. Tannenbaum, 2007, IEEE Transactions on Image Processing.

Regularized Richardson-Lucy algorithm for reconstruction of Poissonian medical images

Oleg V. Michailovich, Elad Shaked, Sudipto Dolui, 2011, 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Sparse Multi-Shell Diffusion Imaging

Carl-Fredrik Westin, Martha Elizabeth Shenton, Yogesh Rathi, 2011, MICCAI.

Image Segmentation Using Weak Shape Priors pdf

Magdy M. A. Salama, Oleg V. Michailovich, Robert Sheng Xu, 2010, ArXiv.

A joint compressed-sensing and super-resolution approach for very high-resolution diffusion imaging

Carl-Fredrik Westin, Martha Elizabeth Shenton, Yogesh Rathi, 2016, NeuroImage.

HARDI denoising using nonlocal means on S2

Oleg V. Michailovich, Sudipto Dolui, Alan Kuurstra, 2012, Medical Imaging.

Resolving complex fibre architecture by means of sparse spherical deconvolution in the presence of isotropic diffusion

Quan Zhou, Yogesh Rathi, Oleg V. Michailovich, 2014, Medical Imaging.

Information tracking approach to segmentation of ultrasound imagery of the prostate

Magdy M. A. Salama, Oleg V. Michailovich, Robert Sheng Xu, 2009, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.

Spatially regularized q-ball imaging using spherical ridgelets

Yogesh Rathi, Oleg V. Michailovich, Y. Rathi, 2010, 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Directional functions for orientation distribution estimation

Martha Elizabeth Shenton, Yogesh Rathi, Oleg V. Michailovich, 2008, 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Segmentation of Tracking Sequences Using Dynamically Updated Adaptive Learning

Oleg V. Michailovich, Allen R. Tannenbaum, A. Tannenbaum, 2008, IEEE Transactions on Image Processing.

Blind deconvolution of medical ultrasound images using variable splitting and proximal point methods

Oleg V. Michailovich, Sudipto Dolui, 2011, 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Directional functions for orientation distribution estimation

Martha Elizabeth Shenton, Yogesh Rathi, Oleg V. Michailovich, 2008, ISBI.

Generalized non-local means filtering for image denoising

Oleg V. Michailovich, Sudipto Dolui, Iván C. Salgado Patarroyo, 2014, Electronic Imaging.

Towards learned optimal q-space sampling in diffusion MRI pdf

Oleg V. Michailovich, Alex M. Bronstein, Tomer Weiss, 2020, Computational Diffusion MRI.

Automatic Breast Tissue Segmentation in MRI Scans

Oleg V. Michailovich, Hossein Soleimani, 2020, 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

Oleg V. Michailovich, Sudipto Dolui, Iván C. Salgado Patarroyo, 2011, J. Vis. Commun. Image Represent..

Dynamic Denoising of Tracking Sequences

Oleg V. Michailovich, Allen R. Tannenbaum, A. Tannenbaum, 2008, IEEE Transactions on Image Processing.

Gradient-based surface reconstruction using compressed sensing

Zhou Wang, Mohammad Rostami, Oleg V. Michailovich, 2012, 2012 19th IEEE International Conference on Image Processing.

Regularized Richardson-Lucy Algorithm for Sparse Reconstruction of Poissonian Images pdf

Oleg V. Michailovich, Elad Shaked, O. Michailovich, 2010, ArXiv.

Reconstruction of HARDI Data Using a Split Bregman Optimization Approach

Edward R. Vrscay, Oleg V. Michailovich, Sudipto Dolui, 2013, ICIAR.

Surface Reconstruction in Gradient-Field Domain Using Compressed Sensing

Zhou Wang, Mohammad Rostami, Oleg V. Michailovich, 2015, IEEE Transactions on Image Processing.

On the theory of function-valued mappings and its application to the processing of hyperspectral images

Edward R. Vrscay, Davide La Torre, Oleg V. Michailovich, 2017, Signal Process..

Segmenting Images on the Tensor Manifold

Yogesh Rathi, Oleg V. Michailovich, Allen R. Tannenbaum, 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.

Spatially regularized reconstruction of fibre orientation distributions in the presence of isotropic diffusion pdf

Quan Zhou, Yogesh Rathi, Oleg V. Michailovich, 2014, ArXiv.

Blind deconvolution of ultrasound sequences using nonparametric local polynomial estimates of the pulse

Oleg V. Michailovich, Dan Adam, 2002, IEEE Transactions on Biomedical Engineering.

Spatially regularized compressed sensing of diffusion MRI data pdf

Yogesh Rathi, Oleg V. Michailovich, Sudipto Dolui, 2010, ArXiv.

Learning beamforming in ultrasound imaging

Alexander M. Bronstein, Oleg V. Michailovich, Michael Zibulevsky, 2019, MIDL.

A generalized compressed sensing approach to high angular resolution diffusion imaging

Yogesh Rathi, Oleg V. Michailovich, 2014, 2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI).

Blind deconvolution of ultrasound images using partial spectral information and sparsity constraints

Oleg V. Michailovich, Dan Adam, 2002, Proceedings IEEE International Symposium on Biomedical Imaging.

Image Deblurring Using Derivative Compressed Sensing for Optical Imaging Application

Zhou Wang, Mohammad Rostami, Oleg V. Michailovich, 2011, IEEE Transactions on Image Processing.

Robust estimation of ultrasound pulses using outlier-resistant de-noising

Oleg V. Michailovich, Dan Adam, D. Adam, 2003, IEEE Transactions on Medical Imaging.

On Segmentation of Pectoral Muscle in Digital Mammograms by Means of Deep Learning

Oleg V. Michailovich, Hossein Soleimani, 2020, IEEE Access.

Alternate Direction Method of Multipliers for Unconstrained Structural Similarity-Based Optimization

Edward R. Vrscay, Davide La Torre, Oleg V. Michailovich, 2018, ICIAR.

A Compressed-Sensing Approach for Super-Resolution Reconstruction of Diffusion MRI

Carl-Fredrik Westin, Yogesh Rathi, Kawin Setsompop, 2015, IPMI.

Deconvolution of medical ultrasound images via parametric inverse filtering

Oleg V. Michailovich, Allen R. Tannenbaum, 2006, 3rd IEEE International Symposium on Biomedical Imaging: Nano to Macro, 2006..

Segmentation of Breast MRI Scans in the Presence of Bias Fields

Oleg V. Michailovich, Hossein Soleimani, Jose Rincon, 2019, ICIAR.

Non-stationary blind deconvolution of medical ultrasound scans

Oleg V. Michailovich, 2017, Medical Imaging.

Deconvolution of Medical Images from Microscopic to Whole Body Images

Oleg V. Michailovich, Dan Adam, D. Adam, 2007 .

SEEING THE UNSEEN: SEGMENTING WITH DISTRIBUTIONS

Yogesh Rathi, Oleg V. Michailovich, Allen Tannenbaum, 2006 .

Diffusion Propagator Estimation Using Gaussians Scattered in q-Space

Carl-Fredrik Westin, Yogesh Rathi, Oleg V. Michailovich, 2014 .

Spatially Regularized Compressed Sensing for

Yogesh Rathi, Oleg V. Michailovich, Sudipto Dolui, 2011 .

A method for prediction and estimation of large‐amplitude optical flows via extended Kalman filtering approach

Oleg V. Michailovich, Allen Tannenbaum, 2006 .