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ORCIDOleg V. Michailovich
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- affiliation: University of Waterloo, Canada
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Journal Articles
- 2020
[j25]Hossein Soleimani
, Oleg V. Michailovich:
On Segmentation of Pectoral Muscle in Digital Mammograms by Means of Deep Learning. IEEE Access 8: 204173-204182 (2020)- 2017
- [j24]Daniel Otero, Davide La Torre, Oleg V. Michailovich, Edward R. Vrscay:
On the theory of function-valued mappings and its application to the processing of hyperspectral images. Signal Process. 134: 185-196 (2017) - 2016
- [j23]Lipeng Ning, Kawin Setsompop, Oleg V. Michailovich, Nikos Makris, Martha Elizabeth Shenton, Carl-Fredrik Westin, Yogesh Rathi:
A joint compressed-sensing and super-resolution approach for very high-resolution diffusion imaging. NeuroImage 125: 386-400 (2016) - [j22]Hengameh Mirzaalian, Lipeng Ning, Peter Savadjiev, Ofer Pasternak, Sylvain Bouix, Oleg V. Michailovich, Gerald Grant, Christine E. Marx, Rajendra A. Morey, Laura A. Flashman, Marie St. George, Thomas W. McAllister, Norberto Andaluz, Lori Shutter, Raul Coimbra, Ross D. Zafonte, Michael J. Coleman, Marek Kubicki, Carl-Fredrik Westin, Murray B. Stein, Martha Elizabeth Shenton, Yogesh Rathi:
Inter-site and inter-scanner diffusion MRI data harmonization. NeuroImage 135: 311-323 (2016) - [j21]Lipeng Ning, Kawin Setsompop, Oleg V. Michailovich, Nikos Makris, Martha Elizabeth Shenton, Carl-Fredrik Westin, Yogesh Rathi:
Corrigendum to "A joint compressed-sensing and super-resolution approach for very high-resolution diffusion imaging". NeuroImage 142: 696 (2016) - 2015
- [j20]Mohammad Rostami, Oleg V. Michailovich, Zhou Wang:
Surface Reconstruction in Gradient-Field Domain Using Compressed Sensing. IEEE Trans. Image Process. 24(5): 1628-1638 (2015) - 2014
- [j19]Yogesh Rathi, Oleg V. Michailovich, Frederik B. Laun, Kawin Setsompop, Patricia Ellen Grant, Carl-Fredrik Westin:
Multi-shell diffusion signal recovery from sparse measurements. Medical Image Anal. 18(7): 1143-1156 (2014) - 2013
- [j18]Sudipto Dolui, Alan Kuurstra, Iván C. Salgado Patarroyo, Oleg V. Michailovich:
A new similarity measure for non-local means filtering of MRI images. J. Vis. Commun. Image Represent. 24(7): 1040-1054 (2013) - 2012
- [j17]Mohammad Rostami, Oleg V. Michailovich, Zhou Wang:
Image Deblurring Using Derivative Compressed Sensing for Optical Imaging Application. IEEE Trans. Image Process. 21(7): 3139-3149 (2012) - 2011
- [j16]Elad Shaked, Oleg V. Michailovich:
Iterative Shrinkage Approach to Restoration of Optical Imagery. IEEE Trans. Image Process. 20(2): 405-416 (2011) - [j15]Oleg V. Michailovich:
An Iterative Shrinkage Approach to Total-Variation Image Restoration. IEEE Trans. Image Process. 20(5): 1281-1299 (2011) - [j14]Oleg V. Michailovich, Yogesh Rathi, Sudipto Dolui:
Spatially Regularized Compressed Sensing for High Angular Resolution Diffusion Imaging. IEEE Trans. Medical Imaging 30(5): 1100-1115 (2011) - 2010
- [j13]James G. Malcolm, Oleg V. Michailovich, Sylvain Bouix, Carl-Fredrik Westin, Martha Elizabeth Shenton, Yogesh Rathi:
A filtered approach to neural tractography using the Watson directional function. Medical Image Anal. 14(1): 58-69 (2010) - [j12]Oleg V. Michailovich, Yogesh Rathi:
On Approximation of Orientation Distributions by Means of Spherical Ridgelets. IEEE Trans. Image Process. 19(2): 461-477 (2010) - 2009
- [j11]Yogesh Rathi, Oleg V. Michailovich, Martha Elizabeth Shenton, Sylvain Bouix:
Directional functions for orientation distribution estimation. Medical Image Anal. 13(3): 432-444 (2009) - 2008
- [j10]Oleg V. Michailovich, Allen R. Tannenbaum:
On approximation of smooth functions from samples of partial derivatives with application to phase unwrapping. Signal Process. 88(2): 358-374 (2008) - [j9]Oleg V. Michailovich, Allen R. Tannenbaum:
Dynamic Denoising of Tracking Sequences. IEEE Trans. Image Process. 17(6): 847-856 (2008) - [j8]Oleg V. Michailovich, Allen R. Tannenbaum:
Segmentation of Tracking Sequences Using Dynamically Updated Adaptive Learning. IEEE Trans. Image Process. 17(12): 2403-2412 (2008) - 2007
- [j7]Oleg V. Michailovich, Yogesh Rathi, Allen R. Tannenbaum:
Image Segmentation Using Active Contours Driven by the Bhattacharyya Gradient Flow. IEEE Trans. Image Process. 16(11): 2787-2801 (2007) - [j6]Oleg V. Michailovich, Allen R. Tannenbaum:
Blind Deconvolution of Medical Ultrasound Images: A Parametric Inverse Filtering Approach. IEEE Trans. Image Process. 16(12): 3005-3019 (2007) - 2005
- [j5]Oleg V. Michailovich, Dan Adam:
A novel approach to the 2-D blind deconvolution problem in medical ultrasound. IEEE Trans. Medical Imaging 24(1): 86-104 (2005) - 2004
- [j4]Oleg V. Michailovich, Dan Adam:
Phase unwrapping for 2-D blind deconvolution of ultrasound images. IEEE Trans. Medical Imaging 23(1): 7-25 (2004) - 2003
- [j3]Oleg V. Michailovich, Dan Adam:
Robust Estimation of Ultrasound Pulses Using Outlier-Resistant De-Noising. IEEE Trans. Medical Imaging 22(3): 368-381 (2003) - 2002
- [j2]Dan Adam, Oleg V. Michailovich:
Blind deconvolution of ultrasound sequences using nonparametric local polynomial estimates of the pulse. IEEE Trans. Biomed. Eng. 49(2): 118-131 (2002) - [j1]Oleg V. Michailovich, Dan Adam:
A High-Resolution Technique for Ultrasound Harmonic Imaging Using Sparse Representation in Gabor Frames. IEEE Trans. Medical Imaging 21(11): 1490-1503 (2002)
Conference and Workshop Papers
- 2020
- [c52]Tomer Weiss, Sanketh Vedula, Ortal Senouf, Oleg V. Michailovich, Michael Zibulevsky, Alexander M. Bronstein:
Joint Learning of Cartesian under Sampling Andre Construction for Accelerated MRI. ICASSP 2020: 8653-8657 - [c51]Mohamad Hourani, Adrian Basarab, Oleg V. Michailovich, Giulia Matrone, Alessandro Ramalli, Denis Kouamé, Jean-Yves Tourneret:
Blind Deconvolution of Fundamental and Harmonic Ultrasound Images. ISBI 2020: 854-857 - [c50]Hossein Soleimani, Oleg V. Michailovich:
2D X-Ray Mammogram and 3D Breast MRI Registration. MICCAI (6) 2020: 150-159 - [c49]Hossein Soleimani, Oleg V. Michailovich:
Automatic Breast Tissue Segmentation in MRI Scans. SMC 2020: 1572-1577 - 2019
- [c48]Hossein Soleimani, George Poothicottu Jacob, Oleg V. Michailovich:
Fitting Smooth Manifolds to Point Clouds in a Level Set Formulation. ICIAR (1) 2019: 139-149 - [c47]Hossein Soleimani, Jose Rincon, Oleg V. Michailovich:
Segmentation of Breast MRI Scans in the Presence of Bias Fields. ICIAR (1) 2019: 376-387 - [c46]Oleg V. Michailovich, Adrian Basarab, Denis Kouame:
Iterative Reconstruction of Medical Ultrasound Images Using Spectrally Constrained Phase Updates. ISBI 2019: 1765-1768 - [c45]Ortal Senouf, Sanketh Vedula, Tomer Weiss, Alexander M. Bronstein, Oleg V. Michailovich, Michael Zibulevsky:
Self-supervised Learning of Inverse Problem Solvers in Medical Imaging. DART/MIL3ID@MICCAI 2019: 111-119 - [c44]Sanketh Vedula, Ortal Senouf, Grigoriy Zurakhov, Alexander M. Bronstein, Oleg V. Michailovich, Michael Zibulevsky:
Learning beamforming in ultrasound imaging. MIDL 2019: 493-511 - 2018
- [c43]Daniel Otero, Davide La Torre, Oleg V. Michailovich, Edward R. Vrscay:
Alternate Direction Method of Multipliers for Unconstrained Structural Similarity-Based Optimization. ICIAR 2018: 20-29 - [c42]Ortal Senouf, Sanketh Vedula, Grigoriy Zurakhov, Alexander M. Bronstein, Michael Zibulevsky, Oleg V. Michailovich, Dan Adam, David Blondheim:
High Frame-Rate Cardiac Ultrasound Imaging with Deep Learning. MICCAI (1) 2018: 126-134 - [c41]Sanketh Vedula, Ortal Senouf, Grigoriy Zurakhov, Alexander M. Bronstein, Michael Zibulevsky, Oleg V. Michailovich, Dan Adam, Diana Gaitini:
High Quality Ultrasonic Multi-line Transmission Through Deep Learning. MLMIR@MICCAI 2018: 147-155 - 2017
- [c40]Syeda Maryam, Laura McCrackin, Mark Crowley, Yogesh Rathi, Oleg V. Michailovich:
Application of probabilistically weighted graphs to image-based diagnosis of Alzheimer's disease using diffusion MRI. Medical Imaging: Computer-Aided Diagnosis 2017: 101342F - 2016
- [c39]Davide La Torre, Franklin Mendivil, Oleg V. Michailovich, Edward R. Vrscay:
Total Variation Minimization for Measure-Valued Images with Diffusion Spectrum Imaging as Motivation. ICIAR 2016: 131-137 - [c38]Oleg V. Michailovich:
Image stitching by means of adaptive normalization. Image Processing: Algorithms and Systems 2016: 1-6 - [c37]Oleg V. Michailovich:
Robust extensions to guided image filtering. Image Processing: Algorithms and Systems 2016: 1-6 - 2015
- [c36]Lipeng Ning, Kawin Setsompop, Oleg V. Michailovich, Nikos Makris, Carl-Fredrik Westin, Yogesh Rathi:
A Compressed-Sensing Approach for Super-Resolution Reconstruction of Diffusion MRI. IPMI 2015: 57-68 - 2014
- [c35]Eric B. Lum, Oleg V. Michailovich:
Image co-registration by minimizing cumulative distortion. CCECE 2014: 1-5 - [c34]Daniel Otero, Oleg V. Michailovich, Edward R. Vrscay:
An Examination of Several Methods of Hyperspectral Image Denoising: Over Channels, Spectral Functions and Both Domains. ICIAR (1) 2014: 131-140 - [c33]Sudipto Dolui, Iván C. Salgado Patarroyo, Oleg V. Michailovich:
Generalized non-local means filtering for image denoising. Image Processing: Algorithms and Systems 2014: 90190B - [c32]Oleg V. Michailovich, Yogesh Rathi:
A generalized compressed sensing approach to high angular resolution diffusion imaging. ISBI 2014: 657-660 - [c31]Yogesh Rathi, Lipeng Ning, Oleg V. Michailovich, HuiJun Liao, Borjan A. Gagoski, Patricia Ellen Grant, Martha Elizabeth Shenton, Robert Stern, Carl-Fredrik Westin, Alexander P. Lin:
Maximum Entropy Estimation of Glutamate and Glutamine in MR Spectroscopic Imaging. MICCAI (2) 2014: 749-756 - [c30]Yogesh Rathi, Oleg V. Michailovich, Kawin Setsompop, Carl-Fredrik Westin:
A dual spherical model for multi-shell diffusion imaging. Medical Imaging: Image Processing 2014: 90340Q - [c29]Quan Zhou, Oleg V. Michailovich, Yogesh Rathi:
Resolving complex fibre architecture by means of sparse spherical deconvolution in the presence of isotropic diffusion. Medical Imaging: Image Processing 2014: 903425 - 2013
- [c28]Iván C. Salgado Patarroyo, Sudipto Dolui, Oleg V. Michailovich, Edward R. Vrscay:
Reconstruction of HARDI Data Using a Split Bregman Optimization Approach. ICIAR 2013: 589-596 - [c27]Yogesh Rathi, Marc Niethammer, Frederik B. Laun, Kawin Setsompop, Oleg V. Michailovich, Patricia Ellen Grant, Carl-Fredrik Westin:
Diffusion Propagator Estimation Using Radial Basis Functions. CDMRI/MMBC@MICCAI 2013: 57-66 - [c26]Yogesh Rathi, Borjan A. Gagoski, Kawin Setsompop, Oleg V. Michailovich, Patricia Ellen Grant, Carl-Fredrik Westin:
Diffusion Propagator Estimation from Sparse Measurements in a Tractography Framework. MICCAI (3) 2013: 510-517 - 2012
- [c25]Oleg V. Michailovich, Davide La Torre, Edward R. Vrscay:
Function-Valued Mappings, Total Variation and Compressed Sensing for diffusion MRI. ICIAR (2) 2012: 286-295 - [c24]Mohammad Rostami, Oleg V. Michailovich, Zhou Wang:
Gradient-based surface reconstruction using compressed sensing. ICIP 2012: 913-916 - [c23]Alan Kuurstra, Sudipto Dolui, Oleg V. Michailovich:
HARDI denoising using nonlocal means on S2. Medical Imaging: Image Processing 2012: 83140I - [c22]Sudipto Dolui, Alan Kuurstra, Oleg V. Michailovich:
Rician compressed sensing for fast and stable signal reconstruction in diffusion MRI. Medical Imaging: Image Processing 2012: 83144Q - [c21]Sudipto Dolui, Iván C. Salgado Patarroyo, Oleg V. Michailovich, Yogesh Rathi:
Reconstruction of HARDI using compressed sensing and its application to contrast HARDI. MMBIA 2012: 17-23 - 2011
- [c20]Sudipto Dolui, Oleg V. Michailovich:
Hybrid blind deconvolution of images using variable splitting and proximal point methods. ICIP 2011: 2709-2712 - [c19]Sudipto Dolui, Oleg V. Michailovich:
Blind deconvolution of medical ultrasound images using variable splitting and proximal point methods. ISBI 2011: 1-5 - [c18]Sudipto Dolui, Oleg V. Michailovich, Yogesh Rathi:
Compressed sensing of diffusion MRI data using spatial regularization and positivity constraints. ISBI 2011: 1597-1601 - [c17]Elad Shaked, Sudipto Dolui, Oleg V. Michailovich:
Regularized Richardson-Lucy algorithm for reconstruction of Poissonian medical images. ISBI 2011: 1754-1757 - [c16]Yogesh Rathi, Oleg V. Michailovich, Kawin Setsompop, Sylvain Bouix, Martha Elizabeth Shenton, Carl-Fredrik Westin:
Sparse Multi-Shell Diffusion Imaging. MICCAI (2) 2011: 58-65 - 2010
- [c15]Oleg V. Michailovich, Yogesh Rathi:
Spatially regularized q-ball imaging using spherical ridgelets. ISBI 2010: 1181-1184 - [c14]Elad Shaked, Oleg V. Michailovich:
Deconvolution of poissonian images via iterative shrinkage. ISBI 2010: 1309-1312 - [c13]Oleg V. Michailovich, Yogesh Rathi:
Fast and Accurate Reconstruction of HARDI Data Using Compressed Sensing. MICCAI (1) 2010: 607-614 - [c12]Yogesh Rathi, James G. Malcolm, Oleg V. Michailovich, Jill M. Goldstein, Larry J. Seidman, Robert W. McCarley, Carl-Fredrik Westin, Martha Elizabeth Shenton:
Biomarkers for Identifying First-Episode Schizophrenia Patients Using Diffusion Weighted Imaging. MICCAI (1) 2010: 657-665 - [c11]Igor V. Solovey, Oleg V. Michailovich, Robert Sheng Xu:
A probabilistic framework for ultrasound image decomposition. Medical Imaging: Image-Guided Procedures 2010: 76252O - [c10]Robert Sheng Xu, Oleg V. Michailovich, Igor Solovey, Magdy M. A. Salama:
A probability tracking approach to segmentation of ultrasound prostate images using weak shape priors. Medical Imaging: Image Processing 2010: 76234E - 2009
- [c9]Mahdi S. Hosseini, Oleg V. Michailovich:
Derivative compressive sampling with application to phase unwrapping. EUSIPCO 2009: 115-119 - 2008
- [c8]Yogesh Rathi, Oleg V. Michailovich, Sylvain Bouix, Martha Elizabeth Shenton:
Orientation distribution estimation for Q-ball imaging. CVPR Workshops 2008: 1-8 - [c7]Yogesh Rathi, Oleg V. Michailovich, Sylvain Bouix, Martha Elizabeth Shenton:
Directional functions for orientation distribution estimation. ISBI 2008: 927-930 - [c6]Oleg V. Michailovich, Yogesh Rathi:
On approximation of orientation distributions by means of spherical ridgelets. ISBI 2008: 939-942 - 2007
- [c5]Yogesh Rathi, Allen R. Tannenbaum, Oleg V. Michailovich:
Segmenting Images on the Tensor Manifold. CVPR 2007 - [c4]Oleg V. Michailovich, Douglas Wiens:
On Separation of Signal Sources Using Kernel Estimates of Probability Densities. ICA 2007: 81-88 - [c3]Oleg V. Michailovich, Allen R. Tannenbaum:
Segmentation of Medical Ultrasound Images using Active Contours. ICIP (5) 2007: 513-516 - 2006
- [c2]Oleg V. Michailovich, Allen R. Tannenbaum:
Deconvolution of medical ultrasound images via parametric inverse filtering. ISBI 2006: 217-220 - 2002
- [c1]Oleg V. Michailovich, Dan Adam:
Blind deconvolution of ultrasound images using partial spectral information and sparsity constraints. ISBI 2002: 1055-1058
Informal and Other Publications
- 2020
- [i20]Daniel Otero, Davide La Torre, Oleg V. Michailovich, Edward R. Vrscay:
Optimization of Structural Similarity in Mathematical Imaging. CoRR abs/2002.02657 (2020) - [i19]Hossein Soleimani, Oleg V. Michailovich:
On segmentation of pectoralis muscle in digital mammograms by means of deep learning. CoRR abs/2008.12904 (2020) - [i18]Tomer Weiss, Sanketh Vedula, Ortal Senouf, Oleg V. Michailovich, Alex M. Bronstein:
Towards learned optimal q-space sampling in diffusion MRI. CoRR abs/2009.03008 (2020) - [i17]Oleg V. Michailovich, Rinat Mukhometzianov:
Towards a quantitative assessment of neurodegeneration in Alzheimer's disease. CoRR abs/2011.04465 (2020) - 2019
- [i16]Tomer Weiss, Sanketh Vedula, Ortal Senouf, Alexander M. Bronstein, Oleg V. Michailovich, Michael Zibulevsky:
Learning Fast Magnetic Resonance Imaging. CoRR abs/1905.09324 (2019) - [i15]Ortal Senouf, Sanketh Vedula, Tomer Weiss, Alexander M. Bronstein, Oleg V. Michailovich, Michael Zibulevsky:
Self-supervised learning of inverse problem solvers in medical imaging. CoRR abs/1905.09325 (2019) - [i14]Tomer Weiss, Ortal Senouf, Sanketh Vedula, Oleg V. Michailovich, Michael Zibulevsky, Alexander M. Bronstein:
PILOT: Physics-Informed Learned Optimal Trajectories for Accelerated MRI. CoRR abs/1909.05773 (2019) - 2018
- [i13]Sanketh Vedula, Ortal Senouf, Grigoriy Zurakhov, Alexander M. Bronstein, Michael Zibulevsky, Oleg V. Michailovich, Dan Adam, Diana Gaitini:
High quality ultrasonic multi-line transmission through deep learning. CoRR abs/1808.07819 (2018) - [i12]Ortal Senouf, Sanketh Vedula, Grigoriy Zurakhov, Alexander M. Bronstein, Michael Zibulevsky, Oleg V. Michailovich, Dan Adam, David Blondheim:
High frame-rate cardiac ultrasound imaging with deep learning. CoRR abs/1808.07823 (2018) - [i11]Sanketh Vedula, Ortal Senouf, Grigoriy Zurakhov, Alexander M. Bronstein, Oleg V. Michailovich, Michael Zibulevsky:
Learning beamforming in ultrasound imaging. CoRR abs/1812.08043 (2018) - 2017
- [i10]Sanketh Vedula, Ortal Senouf, Alexander M. Bronstein, Oleg V. Michailovich, Michael Zibulevsky:
Towards CT-quality Ultrasound Imaging using Deep Learning. CoRR abs/1710.06304 (2017) - 2014
- [i9]Quan Zhou, Oleg V. Michailovich, Yogesh Rathi:
Spatially regularized reconstruction of fibre orientation distributions in the presence of isotropic diffusion. CoRR abs/1401.6196 (2014) - 2011
- [i8]Mohammad Rostami, Oleg V. Michailovich, Zhou Wang:
Image Deblurring Using Derivative Compressed Sensing for Optical Imaging Application. CoRR abs/1107.5790 (2011) - [i7]Sudipto Dolui, Alan Kuurstra, Iván C. Salgado Patarroyo, Oleg V. Michailovich:
A New Similarity Measure for Non-Local Means Filtering of MRI Images. CoRR abs/1110.5945 (2011) - 2010
- [i6]Elad Shaked, Oleg V. Michailovich:
Regularized Richardson-Lucy Algorithm for Sparse Reconstruction of Poissonian Images. CoRR abs/1004.1215 (2010) - [i5]Robert Sheng Xu, Oleg V. Michailovich, Magdy M. A. Salama:
Image Segmentation Using Weak Shape Priors. CoRR abs/1006.2700 (2010) - [i4]Oleg V. Michailovich, Yogesh Rathi, Sudipto Dolui:
Spatially regularized compressed sensing of diffusion MRI data. CoRR abs/1009.1889 (2010) - 2009
- [i3]Robert Sheng Xu, Oleg V. Michailovich, Magdy M. A. Salama:
Information tracking approach to segmentation of ultrasound imagery of prostate. CoRR abs/0909.5458 (2009) - [i2]Elad Shaked, Oleg V. Michailovich:
Iterative Shrinkage Approach to Restoration of Optical Imagery. CoRR abs/0909.5460 (2009) - [i1]Oleg V. Michailovich:
An Iterative Shrinkage Approach to Total-Variation Image Restoration. CoRR abs/0910.5002 (2009)
Coauthor Index
Alexander M. Bronstein
aka: Alex M. Bronstein
aka: Alex M. Bronstein
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