Gregory S Karczmar
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Explore the profile of Gregory S Karczmar including associated specialties, affiliations and a list of published articles.
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141
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2072
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Recent Articles
1.
Gundogdu B, Chatterjee A, Medved M, Bagci U, Karczmar G, Oto A
Radiol Artif Intell
. 2025 Feb;
7(2):e240167.
PMID: 39907585
Purpose To evaluate the performance of Physics-Informed Autoencoder (PIA), a self-supervised deep learning model, in measuring tissue-based biomarkers for prostate cancer (PCa) using hybrid multidimensional MRI. Materials and Methods This...
2.
Chatterjee A, Yousuf A, Engelmann R, Harmath C, Lee G, Medved M, et al.
Radiol Imaging Cancer
. 2025 Jan;
7(1):e240156.
PMID: 39836080
Purpose To evaluate the use of an automated hybrid multidimensional MRI (HM-MRI)-based tool to prospectively identify prostate cancer targets before MRI/US fusion biopsy in comparison with Prostate Imaging and Reporting...
3.
Fan X, Chatterjee A, Medved M, Antic T, Oto A, Karczmar G
J Appl Clin Med Phys
. 2024 Nov;
26(1):e14544.
PMID: 39568316
A new approach to analysis of prostate hybrid multidimensional MRI (HM-MRI) data was introduced in this study. HM-MRI data were acquired for a combination of a few echo times (TEs)...
4.
Chatterjee A, Fan X, Slear J, Asare G, Yousuf A, Medved M, et al.
Cancers (Basel)
. 2024 Oct;
16(20).
PMID: 39456593
This study investigates whether quantitative MRI and histology of the prostate reveal differences between races, specifically African Americans (AAs) and Caucasian Americans (CAs), that can affect diagnosis. Patients (98 CAs,...
5.
Kallis K, Conlin C, Zhong A, Hussain T, Chatterjee A, Karczmar G, et al.
Cancer Imaging
. 2024 Jul;
24(1):89.
PMID: 38972972
Background: High b-value diffusion-weighted images (DWI) are used for detection of clinically significant prostate cancer (csPCa). This study qualitatively and quantitatively compares synthesized DWI (sDWI) to acquired (aDWI) for detection...
6.
Wu C, Hormuth 2nd D, Easley T, Pineda F, Karczmar G, Yankeelov T
J Med Imaging (Bellingham)
. 2024 Mar;
11(2):024002.
PMID: 38463607
Purpose: Validation of quantitative imaging biomarkers is a challenging task, due to the difficulty in measuring the ground truth of the target biological process. A digital phantom-based framework is established...
7.
Gundogdu B, Medved M, Chatterjee A, Engelmann R, Rosado A, Lee G, et al.
Magn Reson Med
. 2024 Feb;
92(1):319-331.
PMID: 38308149
Purpose: This study addresses the challenge of low resolution and signal-to-noise ratio (SNR) in diffusion-weighted images (DWI), which are pivotal for cancer detection. Traditional methods increase SNR at high b-values...
8.
Chatterjee A, Gallan A, Fan X, Medved M, Akurati P, Bourne R, et al.
Cancers (Basel)
. 2023 Dec;
15(24).
PMID: 38136370
We investigated why some prostate cancers (PCas) are not identified on multiparametric MRI (mpMRI) by using ground truth reference from whole-mount prostatectomy specimens. A total of 61 patients with biopsy-confirmed...
9.
Omoleye O, Woodard A, Howard F, Zhao F, Yoshimatsu T, Zheng Y, et al.
Radiol Artif Intell
. 2023 Dec;
5(6):e220299.
PMID: 38074785
Purpose: To externally evaluate a mammography-based deep learning (DL) model (Mirai) in a high-risk racially diverse population and compare its performance with other mammographic measures. Materials And Methods: A total...
10.
Ren Z, Pineda F, Howard F, Fan X, Nanda R, Abe H, et al.
Magn Reson Imaging
. 2023 Aug;
104:9-15.
PMID: 37611646
Purpose: To assess whether measurement of the bilateral asymmetry of semiquantitative and quantitative perfusion parameters from ultrafast dynamic contrast-enhanced MRI (DCE-MRI), allows early prediction of pathologic response after neoadjuvant chemotherapy...