Michael T. McCann

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 28

Top Topics

Image Reconstruction

Inverse Problems

Textured Regions

Convolutional Neural Networks

Top Venues

IEEE Trans. Image Process.

IEEE Trans. Computational Imaging

Publications

Avrajit Ghosh, Michael T. McCann, Madeline Mitchell, Saiprasad Ravishankar
Learning Sparsity-Promoting Regularizers Using Bilevel Optimization. SIAM J. Imaging Sci. 17 (1) (2024)
Evan Bell, Michael T. McCann, Marc Louis Klasky
Supervised Reconstruction for Silhouette Tomography. CoRR (2024)
Michael T. McCann, Elena Guardincerri, Samuel M. Gonzales, Lauren A. Misurek, Jennifer L. Schei, Marc Louis Klasky
Material Identification From Radiographs Without Energy Resolution. IEEE Trans. Computational Imaging 9 (2023)
Michael T. McCann, Hyungjin Chung, Jong Chul Ye, Marc Louis Klasky
Score-Based Diffusion Models for Bayesian Image Reconstruction. ICIP (2023)
Hyungjin Chung, Dohoon Ryu, Michael T. McCann, Marc Louis Klasky, Jong Chul Ye
Solving 3D Inverse Problems Using Pre-Trained 2D Diffusion Models. CVPR (2023)
Avrajit Ghosh, Michael T. McCann, Saiprasad Ravishankar
Bilevel Learning of ℓ1 Regularizers with Closed-Form Gradients (BLORC). ICASSP (2022)
Hyungjin Chung, Dohoon Ryu, Michael T. McCann, Marc Louis Klasky, Jong Chul Ye
Solving 3D Inverse Problems using Pre-trained 2D Diffusion Models. CoRR (2022)
Thilo Balke, Fernando Davis, Cristina Garcia-Cardona, Soumendu Majee, Michael T. McCann, Luke Pfister, Brendt Wohlberg
Scientific Computational Imaging Code (SCICO). J. Open Source Softw. 7 (78) (2022)
Hyungjin Chung, Jeongsol Kim, Michael T. McCann, Marc Louis Klasky, Jong Chul Ye
Diffusion Posterior Sampling for General Noisy Inverse Problems. CoRR (2022)
Avrajit Ghosh, Michael T. McCann, Madeline Mitchell, Saiprasad Ravishankar
Learning Sparsity-Promoting Regularizers using Bilevel Optimization. CoRR (2022)
Zhishen Huang, Siqi Ye, Michael T. McCann, Saiprasad Ravishankar
Model-based Reconstruction with Learning: From Unsupervised to Supervised and Beyond. CoRR (2021)
Harshit Gupta, Michael T. McCann, Laurène Donati, Michael Unser
CryoGAN: A New Reconstruction Paradigm for Single-Particle Cryo-EM Via Deep Adversarial Learning. IEEE Trans. Computational Imaging 7 (2021)
Avrajit Ghosh, Michael T. McCann, Saiprasad Ravishankar
Bilevel learning of l1-regularizers with closed-form gradients(BLORC). CoRR (2021)
Siqi Ye, Zhipeng Li, Michael T. McCann, Yong Long, Saiprasad Ravishankar
Unified Supervised-Unsupervised (SUPER) Learning for X-Ray CT Image Reconstruction. IEEE Trans. Medical Imaging 40 (11) (2021)
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
High-Precision Inversion of Dynamic Radiography Using Hydrodynamic Features. CoRR (2021)
Michael T. McCann, Saiprasad Ravishankar
Supervised Learning of Sparsity-Promoting Regularizers for Denoising. CoRR (2020)
Michael T. McCann, Michael Unser
Biomedical Image Reconstruction: From the Foundations to Deep Neural Networks. Found. Trends Signal Process. 13 (3) (2019)
Emmanuel Soubies, Ferréol Soulez, Michael T. McCann, Thanh-An Pham, Laurène Donati, Thomas Debarre, Daniel Sage, Michael Unser
Pocket Guide to Solve Inverse Problems with GlobalBioIm. CoRR (2018)
Michael T. McCann, Laura Vilaclara, Michael Unser
Region of interest X-ray computed tomography via corrected back projection. ISBI (2018)
Michael T. McCann, Michael Unser, Adrien Depeursinge
Fast Rotational Sparse Coding. CoRR (2018)
Harshit Gupta, Kyong Hwan Jin, Ha Q. Nguyen, Michael T. McCann, Michael Unser
CNN-Based Projected Gradient Descent for Consistent CT Image Reconstruction. IEEE Trans. Medical Imaging 37 (6) (2018)
Kyong Hwan Jin, Michael T. McCann, Emmanuel Froustey, Michael Unser
Deep Convolutional Neural Network for Inverse Problems in Imaging. IEEE Trans. Image Process. 26 (9) (2017)
Michael T. McCann, Kyong Hwan Jin, Michael Unser
A Review of Convolutional Neural Networks for Inverse Problems in Imaging. CoRR (2017)
Harshit Gupta, Kyong Hwan Jin, Ha Q. Nguyen, Michael T. McCann, Michael Unser
CNN-Based Projected Gradient Descent for Consistent Image Reconstruction. CoRR (2017)
Michael T. McCann, Michael Unser
High-Quality Parallel-Ray X-Ray CT Back Projection Using Optimized Interpolation. IEEE Trans. Image Process. 26 (10) (2017)
Michael T. McCann, Kyong Hwan Jin, Michael Unser
Convolutional Neural Networks for Inverse Problems in Imaging: A Review. IEEE Signal Process. Mag. 34 (6) (2017)
Kyong Hwan Jin, Michael T. McCann, Emmanuel Froustey, Michael Unser
Deep Convolutional Neural Network for Inverse Problems in Imaging. CoRR (2016)
Michael T. McCann, Matthew C. Fickus, Jelena Kovacevic
Rotation Invariant Angular Descriptor Via A Bandlimited Gaussian-like Kernel. CoRR (2016)
Michael T. McCann, John A. Ozolek, Carlos A. Castro, Bahram Parvin, Jelena Kovacevic
Automated Histology Analysis: Opportunities for signal processing. IEEE Signal Process. Mag. 32 (1) (2015)
Michael T. McCann, Joshita Majumdar, Cheng Peng, Carlos A. Castro, Jelena Kovacevic
Algorithm and benchmark dataset for stain separation in histology images. ICIP (2014)
Michael T. McCann, Dustin G. Mixon, Matthew C. Fickus, Carlos A. Castro, John A. Ozolek, Jelena Kovacevic
Images as Occlusions of Textures: A Framework for Segmentation. IEEE Trans. Image Process. 23 (5) (2014)
Michael T. McCann, Ramamurthy Bhagavatula, Matthew C. Fickus, John A. Ozolek, Jelena Kovacevic
Automated colitis detection from endoscopic biopsies as a tissue screening tool in diagnostic pathology. ICIP (2012)