Michael T. McCann

39 papers A* 1B 3Misc 1Journal 33Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
Are We Really Learning the Score Function? Reinterpreting Diffusion Models Through Wasserstein Gradient Flow Matching.
CoRR
An B. Vuong, Michael T. McCann, Javier E. Santos, Yen Ting Lin
2025 J jnl
Deep Parameter Interpolation for Scalar Conditioning.
CoRR
Chicago Y. Park, Michael T. McCann, Cristina Garcia-Cardona, Brendt Wohlberg, Ulugbek S. Kamilov
2025 J jnl
Random Walks With Tweedie: A Unified View of Score-Based Diffusion Models [In the Spotlight].
IEEE Signal Process. Mag.
Chicago Y. Park, Michael T. McCann, Cristina Garcia-Cardona, Brendt Wohlberg, Ulugbek S. Kamilov
2025 J jnl
Swap-Net: A Memory-Efficient 2.5D Network for Sparse-View 3D Cone Beam CT Reconstruction to ICF Applications.
IEEE Trans. Computational Imaging
Xiaojian Xu, Marc Louis Klasky, Michael T. McCann, Jason Hu, Jeffrey A. Fessler
2024 J jnl
Learning Sparsity-Promoting Regularizers Using Bilevel Optimization.
SIAM J. Imaging Sci.
Avrajit Ghosh, Michael T. McCann, Madeline Mitchell, Saiprasad Ravishankar
2024 J jnl
Plug-and-Play Priors as a Score-Based Method.
CoRR
Chicago Y. Park, Yuyang Hu, Michael T. McCann, Cristina Garcia-Cardona, Brendt Wohlberg, Ulugbek S. Kamilov
2024 J jnl
Random Walks with Tweedie: A Unified Framework for Diffusion Models.
CoRR
Chicago Y. Park, Michael T. McCann, Cristina Garcia-Cardona, Brendt Wohlberg, Ulugbek S. Kamilov
2024 J jnl
Supervised Reconstruction for Silhouette Tomography.
CoRR
Evan Bell, Michael T. McCann, Marc Louis Klasky
2024 J jnl
Swap-Net: A Memory-Efficient 2.5D Network for Sparse-View 3D Cone Beam CT Reconstruction.
CoRR
Xiaojian Xu, Marc Louis Klasky, Michael T. McCann, Jason Hu, Jeffrey A. Fessler
2023 J jnl
Material Identification From Radiographs Without Energy Resolution.
IEEE Trans. Computational Imaging
Michael T. McCann, Elena Guardincerri, Samuel M. Gonzales, Lauren A. Misurek, Jennifer L. Schei, Marc Louis Klasky
2023 B conf
Score-Based Diffusion Models for Bayesian Image Reconstruction.
ICIP
Michael T. McCann, Hyungjin Chung, Jong Chul Ye, Marc Louis Klasky
2023 A* conf
Solving 3D Inverse Problems Using Pre-Trained 2D Diffusion Models.
CVPR
Hyungjin Chung, Dohoon Ryu, Michael T. McCann, Marc Louis Klasky, Jong Chul Ye
2022 Misc conf
Bilevel Learning of ℓ1 Regularizers with Closed-Form Gradients (BLORC).
ICASSP
Avrajit Ghosh, Michael T. McCann, Saiprasad Ravishankar
2022 J jnl
Diffusion Posterior Sampling for General Noisy Inverse Problems.
CoRR
Hyungjin Chung, Jeongsol Kim, Michael T. McCann, Marc Louis Klasky, Jong Chul Ye
2022 J jnl
Learning Sparsity-Promoting Regularizers using Bilevel Optimization.
CoRR
Avrajit Ghosh, Michael T. McCann, Madeline Mitchell, Saiprasad Ravishankar
2022 J jnl
Scientific Computational Imaging Code (SCICO).
J. Open Source Softw.
Thilo Balke, Fernando Davis, Cristina Garcia-Cardona, Soumendu Majee, Michael T. McCann, Luke Pfister, Brendt Wohlberg
2022 J jnl
Solving 3D Inverse Problems using Pre-trained 2D Diffusion Models.
CoRR
Hyungjin Chung, Dohoon Ryu, Michael T. McCann, Marc Louis Klasky, Jong Chul Ye
2021 J jnl
Bilevel learning of l1-regularizers with closed-form gradients(BLORC).
CoRR
Avrajit Ghosh, Michael T. McCann, Saiprasad Ravishankar
2021 J jnl
CryoGAN: A New Reconstruction Paradigm for Single-Particle Cryo-EM Via Deep Adversarial Learning.
IEEE Trans. Computational Imaging
Harshit Gupta, Michael T. McCann, Laurène Donati, Michael Unser
2021 J jnl
High-Precision Inversion of Dynamic Radiography Using Hydrodynamic Features.
CoRR
Maliha Hossain, Balasubramanya T. Nadiga, Oleg Korobkin, Marc Louis Klasky, Jennifer L. Schei, Joshua W. Burby, Michael T. McCann, Trevor Wilcox, Soumi De, Charles A. Bouman
2021 J jnl
Model-based Reconstruction with Learning: From Unsupervised to Supervised and Beyond.
CoRR
Zhishen Huang, Siqi Ye, Michael T. McCann, Saiprasad Ravishankar
2021 J jnl
Unified Supervised-Unsupervised (SUPER) Learning for X-Ray CT Image Reconstruction.
IEEE Trans. Medical Imaging
Siqi Ye, Zhipeng Li, Michael T. McCann, Yong Long, Saiprasad Ravishankar
2020 J jnl
Supervised Learning of Sparsity-Promoting Regularizers for Denoising.
CoRR
Michael T. McCann, Saiprasad Ravishankar
2019 J jnl
Biomedical Image Reconstruction: From the Foundations to Deep Neural Networks.
Found. Trends Signal Process.
Michael T. McCann, Michael Unser
2018 J jnl
CNN-Based Projected Gradient Descent for Consistent CT Image Reconstruction.
IEEE Trans. Medical Imaging
Harshit Gupta, Kyong Hwan Jin, Ha Q. Nguyen, Michael T. McCann, Michael Unser
2018 J jnl
Fast Rotational Sparse Coding.
CoRR
Michael T. McCann, Michael Unser, Adrien Depeursinge
2018 J jnl
Pocket Guide to Solve Inverse Problems with GlobalBioIm.
CoRR
Emmanuel Soubies, Ferréol Soulez, Michael T. McCann, Thanh-An Pham, Laurène Donati, Thomas Debarre, Daniel Sage, Michael Unser
2018 — conf
Region of interest X-ray computed tomography via corrected back projection.
ISBI
Michael T. McCann, Laura Vilaclara, Michael Unser
2017 J jnl
A Review of Convolutional Neural Networks for Inverse Problems in Imaging.
CoRR
Michael T. McCann, Kyong Hwan Jin, Michael Unser
2017 J jnl
CNN-Based Projected Gradient Descent for Consistent Image Reconstruction.
CoRR
Harshit Gupta, Kyong Hwan Jin, Ha Q. Nguyen, Michael T. McCann, Michael Unser
2017 J jnl
Convolutional Neural Networks for Inverse Problems in Imaging: A Review.
IEEE Signal Process. Mag.
Michael T. McCann, Kyong Hwan Jin, Michael Unser
2017 J jnl
Deep Convolutional Neural Network for Inverse Problems in Imaging.
IEEE Trans. Image Process.
Kyong Hwan Jin, Michael T. McCann, Emmanuel Froustey, Michael Unser
2017 J jnl
High-Quality Parallel-Ray X-Ray CT Back Projection Using Optimized Interpolation.
IEEE Trans. Image Process.
Michael T. McCann, Michael Unser
2016 J jnl
Deep Convolutional Neural Network for Inverse Problems in Imaging.
CoRR
Kyong Hwan Jin, Michael T. McCann, Emmanuel Froustey, Michael Unser
2016 J jnl
Rotation Invariant Angular Descriptor Via A Bandlimited Gaussian-like Kernel.
CoRR
Michael T. McCann, Matthew C. Fickus, Jelena Kovacevic
2015 J jnl
Automated Histology Analysis: Opportunities for signal processing.
IEEE Signal Process. Mag.
Michael T. McCann, John A. Ozolek, Carlos A. Castro, Bahram Parvin, Jelena Kovacevic
2014 B conf
Algorithm and benchmark dataset for stain separation in histology images.
ICIP
Michael T. McCann, Joshita Majumdar, Cheng Peng, Carlos A. Castro, Jelena Kovacevic
2014 J jnl
Images as Occlusions of Textures: A Framework for Segmentation.
IEEE Trans. Image Process.
Michael T. McCann, Dustin G. Mixon, Matthew C. Fickus, Carlos A. Castro, John A. Ozolek, Jelena Kovacevic
2012 B conf
Automated colitis detection from endoscopic biopsies as a tissue screening tool in diagnostic pathology.
ICIP
Michael T. McCann, Ramamurthy Bhagavatula, Matthew C. Fickus, John A. Ozolek, Jelena Kovacevic