Michael T. McCann

Michael T. McCann

Michigan State University

H-index: 16

North America-United States

About Michael T. McCann

Michael T. McCann, With an exceptional h-index of 16 and a recent h-index of 15 (since 2020), a distinguished researcher at Michigan State University, specializes in the field of image reconstruction, signal processing, computational imaging, medical image analysis.

His recent articles reflect a diverse array of research interests and contributions to the field:

Learning Sparsity-Promoting Regularizers using Bilevel Optimization

PtychoDV: Vision Transformer-Based Deep Unrolling Network for Ptychographic Image Reconstruction

Supervised Reconstruction for Silhouette Tomography

Robust and Simple ADMM Penalty Parameter Selection

Interrogating the Effects of Rate and Orientation on the Dynamic Failure Response of α-Quartz under Uniaxial Stress Compression

In-Situ Mesoscale Characterization of Dynamic Crack Initiation and Propagation Using X-Ray Phase Contrast Imaging

Material Identification From Radiographs Without Energy Resolution

Solving 3d inverse problems using pre-trained 2d diffusion models

Michael T. McCann Information

University

Position

___

Citations(all)

4161

Citations(since 2020)

3692

Cited By

1901

hIndex(all)

16

hIndex(since 2020)

15

i10Index(all)

20

i10Index(since 2020)

18

Email

University Profile Page

Google Scholar

Michael T. McCann Skills & Research Interests

image reconstruction

signal processing

computational imaging

medical image analysis

Top articles of Michael T. McCann

Learning Sparsity-Promoting Regularizers using Bilevel Optimization

SIAM Journal on Imaging Sciences

2024/3/31

PtychoDV: Vision Transformer-Based Deep Unrolling Network for Ptychographic Image Reconstruction

IEEE Open Journal of Signal Processing

2024/3/8

Supervised Reconstruction for Silhouette Tomography

arXiv preprint arXiv:2402.07298

2024/2/11

Robust and Simple ADMM Penalty Parameter Selection

IEEE Open Journal of Signal Processing

2024/1/10

Interrogating the Effects of Rate and Orientation on the Dynamic Failure Response of α-Quartz under Uniaxial Stress Compression

2023/6/5

In-Situ Mesoscale Characterization of Dynamic Crack Initiation and Propagation Using X-Ray Phase Contrast Imaging

2023/6/5

Material Identification From Radiographs Without Energy Resolution

IEEE Transactions on Computational Imaging

2023/3/23

Solving 3d inverse problems using pre-trained 2d diffusion models

2023

Isotopic gamma lines for identification of shielding materials

arXiv preprint arXiv:2311.15148

2023/11/26

Score-based diffusion models for Bayesian image reconstruction

2023/10/8

Comparison of Supervised and Un-Supervised Machine Learning Algorithms for Threat Detection and Scintillator Performance for Radiation Portal Monitoring

2023/10/3

An End-to-End Learning Approach for Subpixel Feature Extraction

2023/8/14

Scientific computational imaging code (SCICO)

Journal of Open Source Software

2022/10/28

Comparing one-step and two-step scatter correction and density reconstruction in x-ray CT

2022/10/17

Diffusion posterior sampling for general noisy inverse problems

arXiv preprint arXiv:2209.14687

2022/9/29

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

2022/5/23

High-precision inversion of dynamic radiography using hydrodynamic features

Optics Express

2022/4/25

High Fidelity Tomographic Density Reconstructions

2022/4/7

Learning from Hydrodynamics Simulations with Mass Constraints for Density Reconstruction in Dynamic Tomography

2022/1/25

High Fidelity Tomographic Density Reconstructions [Slides]

2021/10/1

See List of Professors in Michael T. McCann University(Michigan State University)

Co-Authors

academic-engine