Charles A Bouman

Charles A Bouman

Purdue University

H-index: 61

North America-United States

About Charles A Bouman

Charles A Bouman, With an exceptional h-index of 61 and a recent h-index of 32 (since 2020), a distinguished researcher at Purdue University, specializes in the field of Computational Imaging, Tomography, Statistical Signal Processing.

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

Photothermal mid-infrared microscopy

Dual-Comb Mid-Infrared Spectromicroscopy with Photothermal Fluorescence Detection

MACE CT Reconstruction for Modular Material Decomposition from Energy Resolving Photon-Counting Data

Coherent plug-and-play artifact removal: Physics-based deep learning for imaging through aberrations

Generative Plug and Play: Posterior Sampling for Inverse Problems

Model-based reconstruction for multi-frequency collimated beam ultrasound systems

Noise preserving models and methods for resolution recovery of x-ray computed tomography images

Plug-and-play methods for integrating physical and learned models in computational imaging: Theory, algorithms, and applications

Charles A Bouman Information

University

Position

Professor of Electrical and Computer Engineering

Citations(all)

20558

Citations(since 2020)

5765

Cited By

16980

hIndex(all)

61

hIndex(since 2020)

32

i10Index(all)

256

i10Index(since 2020)

99

Email

University Profile Page

Purdue University

Google Scholar

View Google Scholar Profile

Charles A Bouman Skills & Research Interests

Computational Imaging

Tomography

Statistical Signal Processing

Top articles of Charles A Bouman

Title

Journal

Author(s)

Publication Date

Photothermal mid-infrared microscopy

Gwendylan Turner

Daniel I Herman

Markus Mangold

Aleksandr Razumtcev

Ziyi Cao

...

2024/3/13

Dual-Comb Mid-Infrared Spectromicroscopy with Photothermal Fluorescence Detection

Gwendylan Turner

Daniel Herman

Aleksandr Razumtcev

Markus Mangold

Minghe Li

...

2024/3/8

MACE CT Reconstruction for Modular Material Decomposition from Energy Resolving Photon-Counting Data

arXiv preprint arXiv:2402.00967

Natalie M Jadue

Madhuri Nagare

Jonathan S Maltz

Gregery T Buzzard

Charles A Bouman

2024/2/1

Coherent plug-and-play artifact removal: Physics-based deep learning for imaging through aberrations

Optics and Lasers in Engineering

Casey J Pellizzari

Timothy J Bate

Kevin P Donnelly

Gregery T Buzzard

Charles A Bouman

...

2023/5/1

Generative Plug and Play: Posterior Sampling for Inverse Problems

Charles A Bouman

Gregery T Buzzard

2023/9/26

Model-based reconstruction for multi-frequency collimated beam ultrasound systems

IEEE Transactions on Computational Imaging

Abdulrahman M Alanazi

Singanallur Venkatakrishnan

Hector Santos-Villalobos

Gregery T Buzzard

Charles Bouman

2023/10/16

Noise preserving models and methods for resolution recovery of x-ray computed tomography images

2023/12/21

Plug-and-play methods for integrating physical and learned models in computational imaging: Theory, algorithms, and applications

IEEE Signal Processing Magazine

Ulugbek S Kamilov

Charles A Bouman

Gregery T Buzzard

Brendt Wohlberg

2023/1/2

MBIR Training for a 2.5 D DL network in X-ray CT

arXiv preprint arXiv:2309.13399

Obaidullah Rahman

Madhuri Nagare

Ken D Sauer

Charles A Bouman

Roman Melnyk

...

2023/9/23

Autonomous Polycrystalline Material Decomposition For Hyperspectral Neutron Tomography

Mohammad Samin Nur Chowdhury

Diyu Yang

Shimin Tang

Singanallur V Venkatakrishnan

Hassina Z Bilheux

...

2023/10/8

Trinidi: Time-of-flight resonance imaging with neutrons for isotopic density inference

IEEE Transactions on Computational Imaging

Thilo Balke

Alexander M Long

Sven C Vogel

Brendt Wohlberg

Charles A Bouman

2023/12/21

Physics guided machine learning for multi-material decomposition of tissues from dual-energy CT scans of simulated breast models with calcifications

Murali Gopalakrishnan Meena

Amir Ziabari

Singanallur Venkatakrishnan

Isaac Lyngaas

Matthew Norman

...

2023/1/1

The Foundations of Computational Imaging: A signal processing perspective

IEEE Signal Processing Magazine

W Clem Karl

James E Fowler

Charles A Bouman

Müjdat Çetin

Brendt Wohlberg

...

2023/7/20

X-Ray Spectral Estimation Using Dictionary Learning

Wenrui Li

Venkatesh Sridhar

K Aditya Mohan

Saransh Singh

Jean-Baptiste Forien

...

2023/2/27

Texture Matching GAN for CT Image Enhancement

arXiv preprint arXiv:2312.13422

Madhuri Nagare

Gregery T Buzzard

Charles A Bouman

2023/12/20

An Edge Alignment-based Orientation Selection Method for Neutron Tomography

Diyu Yang

Shimin Tang

Singanallur V Venkatakrishnan

Mohammad SN Chowdhury

Yuxuan Zhang

...

2023/6/4

Ringing Artifact Reduction Method for Ultrasound Reconstruction Using Multi-Agent Consensus Equilibrium

Abdulrahman M Alanazi

Singanallur Venkatakrishnan

Gregery T Buzzard

Charles A Bouman

2023/10/8

Generating neural networks tailored to optimize specific medical image properties using novel loss functions

2023/11/30

Dynamic DH-MBIR for phase-error estimation from streaming digital-holography data

arXiv preprint arXiv:2305.03284

Ali G Sheikh

Casey J Pellizzari

Sherman J Kisner

Gregery T Buzzard

Charles A Bouman

2023/5/5

Dynamic DH-MBIR for low-latency wavefront estimation in the presence of atmospheric boiling

Ali G Sheikh

Casey J Pellizzari

Sherman J Kisner

Gregery T Buzzard

Charles A Bouman

2023/10/3

See List of Professors in Charles A Bouman University(Purdue University)

Co-Authors

H-index: 84
Edward Delp

Edward Delp

Purdue University

H-index: 71
Jong Chul Ye

Jong Chul Ye

KAIST

H-index: 60
Jan Allebach

Jan Allebach

Purdue University

H-index: 38
Evan Morris

Evan Morris

Yale University

H-index: 36
Kevin Webb

Kevin Webb

Purdue University

H-index: 32
Rick Millane

Rick Millane

University of Canterbury

academic-engine