Michael T. McCann

According to our database, Michael T. McCann authored at least 30 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Learning Sparsity-Promoting Regularizers Using Bilevel Optimization.

Avrajit Ghosh, Michael T. McCann, Madeline Mitchell, Saiprasad Ravishankar

SIAM J. Imaging Sci., March, 2024

Supervised Reconstruction for Silhouette Tomography.

Evan Bell, Michael T. McCann, Marc Louis Klasky

CoRR, 2024

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

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

Diffusion Posterior Sampling for General Noisy Inverse Problems.

Hyungjin Chung, Jeongsol Kim, Michael Thompson McCann, Marc Louis Klasky, Jong Chul Ye

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Score-Based Diffusion Models for Bayesian Image Reconstruction.

Michael T. McCann, Hyungjin Chung, Jong Chul Ye, Marc Louis Klasky

Proceedings of the IEEE International Conference on Image Processing, 2023

Solving 3D Inverse Problems Using Pre-Trained 2D Diffusion Models.

Hyungjin Chung, Dohoon Ryu, Michael T. McCann, Marc Louis Klasky, Jong Chul Ye

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

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., October, 2022

Bilevel Learning of ℓ1 Regularizers with Closed-Form Gradients (BLORC).

Avrajit Ghosh, Michael T. McCann, Saiprasad Ravishankar

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Unified Supervised-Unsupervised (SUPER) Learning for X-Ray CT Image Reconstruction.

Siqi Ye, Zhipeng Li, Michael T. McCann, Yong Long, Saiprasad Ravishankar

IEEE Trans. Medical Imaging, 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

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

Model-based Reconstruction with Learning: From Unsupervised to Supervised and Beyond.

Zhishen Huang, Siqi Ye, Michael T. McCann, Saiprasad Ravishankar

CoRR, 2021

2020

Code for "Fast Rotational Sparse Coding".

Michael T. McCann, Vincent Andrearczyk, Michael Unser, Adrien Depeursinge

Dataset, September, 2020

Supervised Learning of Sparsity-Promoting Regularizers for Denoising.

Michael T. McCann, Saiprasad Ravishankar

CoRR, 2020

2019

Biomedical Image Reconstruction: From the Foundations to Deep Neural Networks.

Michael T. McCann, Michael Unser

Found. Trends Signal Process., 2019

2018

CNN-Based Projected Gradient Descent for Consistent CT Image Reconstruction.

Harshit Gupta, Kyong Hwan Jin, Ha Q. Nguyen, Michael T. McCann, Michael Unser

IEEE Trans. Medical Imaging, 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

Fast Rotational Sparse Coding.

Michael T. McCann, Michael Unser, Adrien Depeursinge

CoRR, 2018

Region of interest X-ray computed tomography via corrected back projection.

Michael T. McCann, Laura Vilaclara, Michael Unser

Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

2017

High-Quality Parallel-Ray X-Ray CT Back Projection Using Optimized Interpolation.

Michael T. McCann, Michael Unser

IEEE Trans. Image Process., 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

Convolutional Neural Networks for Inverse Problems in Imaging: A Review.

Michael T. McCann, Kyong Hwan Jin, Michael Unser

IEEE Signal Process. Mag., 2017

A Review of Convolutional Neural Networks for Inverse Problems in Imaging.

Michael T. McCann, Kyong Hwan Jin, Michael Unser

CoRR, 2017

CNN-Based Projected Gradient Descent for Consistent Image Reconstruction.

Harshit Gupta, Kyong Hwan Jin, Ha Q. Nguyen, Michael T. McCann, Michael Unser

CoRR, 2017

2016

Rotation Invariant Angular Descriptor Via A Bandlimited Gaussian-like Kernel.

Michael T. McCann, Matthew C. Fickus, Jelena Kovacevic

CoRR, 2016

2015

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

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

Algorithm and benchmark dataset for stain separation in histology images.

Michael T. McCann, Joshita Majumdar, Cheng Peng, Carlos A. Castro, Jelena Kovacevic

Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

2012

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

Proceedings of the 19th IEEE International Conference on Image Processing, 2012