Cristian T. Badea

Cristian T. Badea

Duke University

H-index: 41

North America-United States

About Cristian T. Badea

Cristian T. Badea, With an exceptional h-index of 41 and a recent h-index of 24 (since 2020), a distinguished researcher at Duke University, specializes in the field of computed tomography, spectral CT, micro-CT, deep learning, co-clinical trials.

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

Multi-channel reconstruction (MCR) toolkit v2. 0: open-source Python-based tools for x-ray CT reconstruction

Volumetric brain region segmentation and morphometry in mouse models using high-resolution hybrid micro-CT imaging

Denoising pediatric cardiac photon-counting CT data using volumetric vision transformers and unpaired training data

Whole heart CNN-based segmentation for phenotypical analysis of APOE mouse models using photon counting cine cardiac micro-CT data

Advancing preclinical micro-photon counting CT perfusion imaging: from phantom experiments to in vivo applications

Photon counting micro-CT imaging of Bi2WO6 nanoparticles

An acquisition-based approach for high-fidelity infilling of photon-counting x-ray detector pixel gaps

Enhancing in vivo preclinical studies with VivoVist™ and photon-counting micro-CT imaging

Cristian T. Badea Information

University

Position

Professor

Citations(all)

5677

Citations(since 2020)

2214

Cited By

4350

hIndex(all)

41

hIndex(since 2020)

24

i10Index(all)

92

i10Index(since 2020)

53

Email

University Profile Page

Duke University

Google Scholar

View Google Scholar Profile

Cristian T. Badea Skills & Research Interests

computed tomography

spectral CT

micro-CT

deep learning

co-clinical trials

Top articles of Cristian T. Badea

Title

Journal

Author(s)

Publication Date

Multi-channel reconstruction (MCR) toolkit v2. 0: open-source Python-based tools for x-ray CT reconstruction

Darin P Clark

Alex Allphin

Rohan Nadkarni

Cristian T Badea

2024/4/1

Volumetric brain region segmentation and morphometry in mouse models using high-resolution hybrid micro-CT imaging

R Nadkarni

ZY Han

RJ Anderson

A Allphin

DP Clark

...

2024/4/2

Denoising pediatric cardiac photon-counting CT data using volumetric vision transformers and unpaired training data

DP Clark

FR Schwartz

JY Cao

CT Badea

2024/4/1

Whole heart CNN-based segmentation for phenotypical analysis of APOE mouse models using photon counting cine cardiac micro-CT data

AJ Allphin

R Nadkarni

Z Han

DP Clark

A Badea

...

2024/4/2

Advancing preclinical micro-photon counting CT perfusion imaging: from phantom experiments to in vivo applications

AJ Allphin

DP Clark

CJ Gil

ML Tomov

V Serpooshan

...

2024/4/1

Photon counting micro-CT imaging of Bi2WO6 nanoparticles

CT Badea

R Bhavane

A Allphin

R Nadkarni

DP Clark

...

2024/4/2

An acquisition-based approach for high-fidelity infilling of photon-counting x-ray detector pixel gaps

AJ Allphin

R Nadkarni

DP Clark

CT Badea

2024/4/1

Enhancing in vivo preclinical studies with VivoVist™ and photon-counting micro-CT imaging

CT Badea

A Rickard

A Allphin

DP Clark

KB Ghaghada

...

2024/4/2

Deep learning models for rapid denoising of 5D cardiac photon-counting micro-CT images

Rohan Nadkarni

Darin P Clark

Alex Allphin

Cristian T Badea

2024/4/1

Predicting brain age and associated structural networks in mouse models with humanized APOE alleles using integrative and interpretable graph neural networks

Hae Sol Moon

Ali Mahzarnia

Jacques Stout

Robert J Anderson

Zay Yar Han

...

2024/4/3

Advanced photon counting CT imaging pipeline for cardiac phenotyping of apolipoprotein E mouse models

PloS one

Alex J Allphin

Ali Mahzarnia

Darin P Clark

Yi Qi

Zay Y Han

...

2023/10/5

Neoadjuvant radiation therapy and surgery improves metastasis-free survival over surgery alone in a primary mouse model of soft tissue sarcoma

Molecular cancer therapeutics

Rutulkumar Patel

Yvonne M Mowery

Yi Qi

Alex M Bassil

Matt Holbrook

...

2023/1/3

Ex vivo high-resolution hybrid micro-CT imaging using photon counting and energy integrating detectors

AJ Allphin

R Nadkarni

DP Clark

CT Badea

2023/4/10

Evaluation of the impact of a novel denoising algorithm on image quality in dual-energy abdominal CT of obese patients

European radiology

Fides R Schwartz

Darin P Clark

Francesca Rigiroli

Kevin Kalisz

Benjamin Wildman-Tobriner

...

2023/10

Feature attention graph neural network for estimating brain age and identifying important neural connections in mouse models of genetic risk for Alzheimer's disease

bioRxiv

Hae Sol Moon

Ali Mahzarnia

Jacques Stout

Robert J Anderson

Cristian T Badea

...

2023

Spectral micro-CT imaging of multiple K-edge elements using GaAs and CdTe photon counting detectors

AJ Allphin

DP Clark

T Thuering

Prajwal Bhandari

KB Ghaghada

...

2023/4/7

MCR toolkit: A GPU‐based toolkit for multi‐channel reconstruction of preclinical and clinical x‐ray CT data

Medical physics

Darin P Clark

Cristian T Badea

2023/8

Unsupervised learning of robust models for cardiac and photon-counting x-ray CT denoising

DP Clark

FR Schwartz

A Euler

V Mergen

H Alkadhi

...

2023/4/7

A deep learning approach for rapid and generalizable denoising of photon-counting micro-ct images

Tomography

Rohan Nadkarni

Darin P Clark

Alex J Allphin

Cristian T Badea

2023/7/2

An online repository for pre-clinical imaging protocols (PIPs)

Tomography

Seth T Gammon

Allison S Cohen

Adrienne L Lehnert

Daniel C Sullivan

Dariya Malyarenko

...

2023/3/27

See List of Professors in Cristian T. Badea University(Duke University)

Co-Authors

H-index: 218
Ralph Weissleder

Ralph Weissleder

Harvard University

H-index: 110
Jennifer L. West

Jennifer L. West

Duke University

H-index: 104
Tuan Vo-Dinh

Tuan Vo-Dinh

Duke University

H-index: 69
David Kirsch

David Kirsch

Duke University

H-index: 60
david w holdsworth

david w holdsworth

Western University

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