Automated colitis detection from endoscopic biopsies as a tissue screening tool in diagnostic pathology. - Michael T. McCann; Ramamurthy Bhagavatula; Matthew C. Fickus; John A. Ozolek; Jelena Kovacevic (ICIP, 2012)

Algorithm and benchmark dataset for stain separation in histology images. - Michael T. McCann; Joshita Majumdar; Cheng Peng; Carlos A. Castro; Jelena Kovacevic (ICIP, 2014)

Images as Occlusions of Textures: A Framework for Segmentation. - Michael T. McCann; Dustin G. Mixon; Matthew C. Fickus; Carlos A. Castro; John A. Ozolek; Jelena Kovacevic (IEEE Trans. Image Process., 2014)

Automated Histology Analysis: Opportunities for signal processing. - Michael T. McCann; John A. Ozolek; Carlos A. Castro; Bahram Parvin; Jelena Kovacevic (IEEE Signal Process. Mag., 2015)

Rotation Invariant Angular Descriptor Via A Bandlimited Gaussian-like Kernel. - Michael T. McCann; Matthew C. Fickus; Jelena Kovacevic (CoRR, 2016)

CNN-Based Projected Gradient Descent for Consistent Image Reconstruction. - Harshit Gupta; Kyong Hwan Jin; Ha Q. Nguyen 001; Michael T. McCann; Michael Unser (CoRR, 2017)

A Review of Convolutional Neural Networks for Inverse Problems in Imaging. - Michael T. McCann; Kyong Hwan Jin; Michael Unser (CoRR, 2017)

Convolutional Neural Networks for Inverse Problems in Imaging: A Review. - Michael T. McCann; Kyong Hwan Jin; Michael Unser (IEEE Signal Process. Mag., 2017)

Deep Convolutional Neural Network for Inverse Problems in Imaging. - Kyong Hwan Jin; Michael T. McCann; Emmanuel Froustey; Michael Unser (IEEE Trans. Image Process., 2017)

High-Quality Parallel-Ray X-Ray CT Back Projection Using Optimized Interpolation. - Michael T. McCann; Michael Unser (IEEE Trans. Image Process., 2017)

Region of interest X-ray computed tomography via corrected back projection. - Michael T. McCann; Laura Vilaclara; Michael Unser (ISBI, 2018)

Fast Rotational Sparse Coding. - Michael T. McCann; Michael Unser; Adrien Depeursinge (CoRR, 2018)

Pocket Guide to Solve Inverse Problems with GlobalBioIm. - Emmanuel Soubies; Ferréol Soulez; Michael T. McCann; Thanh-An Pham; Laurène Donati; Thomas Debarre; Daniel Sage; Michael Unser (CoRR, 2018)

CNN-Based Projected Gradient Descent for Consistent CT Image Reconstruction. - Harshit Gupta; Kyong Hwan Jin; Ha Q. Nguyen 001; Michael T. McCann; Michael Unser (IEEE Trans. Medical Imaging, 2018)

Biomedical Image Reconstruction: From the Foundations to Deep Neural Networks. - Michael T. McCann; Michael Unser (Found. Trends Signal Process., 2019)

Supervised Learning of Sparsity-Promoting Regularizers for Denoising. - Michael T. McCann; Saiprasad Ravishankar (CoRR, 2020)

Code for "Fast Rotational Sparse Coding". - Michael T. McCann; Vincent Andrearczyk; Michael Unser; Adrien Depeursinge (Zenodo, 2020)

Model-based Reconstruction with Learning: From Unsupervised to Supervised and Beyond. - Zhishen Huang; Siqi Ye; Michael T. McCann; Saiprasad Ravishankar (CoRR, 2021)

High-Precision Inversion of Dynamic Radiography Using Hydrodynamic Features. - 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 (CoRR, 2021)

CryoGAN: A New Reconstruction Paradigm for Single-Particle Cryo-EM Via Deep Adversarial Learning. - Harshit Gupta; Michael T. McCann; Laurène Donati; Michael Unser (IEEE Trans. Computational Imaging, 2021)

Unified Supervised-Unsupervised (SUPER) Learning for X-Ray CT Image Reconstruction. - Siqi Ye; Zhipeng Li 003; Michael T. McCann; Yong Long; Saiprasad Ravishankar (IEEE Trans. Medical Imaging, 2021)

Bilevel Learning of ℓ1 Regularizers with Closed-Form Gradients (BLORC). - Avrajit Ghosh; Michael T. McCann; Saiprasad Ravishankar (ICASSP, 2022)

Scientific Computational Imaging Code (SCICO). - Thilo Balke; Fernando Davis; Cristina Garcia-Cardona; Soumendu Majee; Michael T. McCann; Luke Pfister; Brendt Wohlberg (J. Open Source Softw., 2022)

Solving 3D Inverse Problems Using Pre-Trained 2D Diffusion Models. - Hyungjin Chung; Dohoon Ryu; Michael T. McCann; Marc Louis Klasky; Jong Chul Ye (CVPR, 2023)

Score-Based Diffusion Models for Bayesian Image Reconstruction. - Michael T. McCann; Hyungjin Chung; Jong Chul Ye; Marc Louis Klasky (ICIP, 2023)

Diffusion Posterior Sampling for General Noisy Inverse Problems. - Hyungjin Chung; Jeongsol Kim; Michael Thompson McCann; Marc Louis Klasky; Jong Chul Ye (ICLR, 2023)

PtychoDV: Vision Transformer-Based Deep Unrolling Network for Ptychographic Image Reconstruction. - Weijie Gan; Qiuchen Zhai; Michael Thompson McCann; Cristina Garcia-Cardona; Ulugbek S. Kamilov; Brendt Wohlberg (CoRR, 2023)

Material Identification From Radiographs Without Energy Resolution. - Michael T. McCann; Elena Guardincerri; Samuel M. Gonzales; Lauren A. Misurek; Jennifer L. Schei; Marc Louis Klasky (IEEE Trans. Computational Imaging, 2023)

Supervised Reconstruction for Silhouette Tomography. - Evan Bell; Michael T. McCann; Marc Louis Klasky (CoRR, 2024)

Swap-Net: A Memory-Efficient 2.5D Network for Sparse-View 3D Cone Beam CT Reconstruction. - Xiaojian Xu 002; Marc Louis Klasky; Michael T. McCann; Jason Hu; Jeffrey A. Fessler (CoRR, 2024)

Random Walks with Tweedie: A Unified Framework for Diffusion Models. - Chicago Y. Park; Michael T. McCann; Cristina Garcia-Cardona; Brendt Wohlberg; Ulugbek S. Kamilov (CoRR, 2024)

Plug-and-Play Priors as a Score-Based Method. - Chicago Y. Park; Yuyang Hu; Michael T. McCann; Cristina Garcia-Cardona; Brendt Wohlberg; Ulugbek S. Kamilov (CoRR, 2024)

Learning Sparsity-Promoting Regularizers Using Bilevel Optimization. - Avrajit Ghosh; Michael T. McCann; Madeline Mitchell; Saiprasad Ravishankar (SIAM J. Imaging Sci., 2024)

Swap-Net: A Memory-Efficient 2.5D Network for Sparse-View 3D Cone Beam CT Reconstruction to ICF Applications. - Xiaojian Xu 002; Marc Louis Klasky; Michael T. McCann; Jason Hu; Jeffrey A. Fessler (IEEE Trans. Computational Imaging, 2025)