Výsledky vyhledávání - "M Wahi-Anwar"

A novel physics-based data augmentation approach for improved robust deep learning in medical imaging: lung nodule CAD false positive reduction in CT low-dose environments

Autor: Hyung S. Kim, Michael F. McNitt-Gray, William Hsu, Youngwon Choi, M Wahi-Anwar, Nastaran Emaminejad, Matthew S. Brown

Publikováno v: Medical Imaging 2021: Physics of Medical Imaging.

A novel physics-based data augmentation (PBDA) is introduced, to provide a representative approach to introducing variance during training of a deep-learning model. Compared to traditional geometric-based data augmentation (GBDA), we hypothesize that

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::345367d3584e7f30c61cf15689c9af98
https://doi.org/10.1117/12.2582126

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Reproducibility of lung nodule radiomic features: Multivariable and univariable investigations that account for interactions between CT acquisition and reconstruction parameters

Autor: William Hsu, Nastaran Emaminejad, Matthew S. Brown, Michael F. McNitt-Gray, M Wahi-Anwar, Grace Kim

Publikováno v: Med Phys
Medical physics, vol 48, iss 6

PurposeRecent studies have demonstrated a lack of reproducibility of radiomic features in response to variations in CT parameters. In addition, reproducibility of radiomic features has not been well established in clinical datasets. We aimed to inves

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b9cff90eed7b78106e8a2ed5917cd422
https://pubmed.ncbi.nlm.nih.gov/33706419

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Standardization in Quantitative Imaging: A Multicenter Comparison of Radiomic Features from Different Software Packages on Digital Reference Objects and Patient Data Sets

Publikováno v: Tomography
Volume 6
Issue 2
Pages 118-128
Tomography (Ann Arbor, Mich.), vol 6, iss 2
Tomography; Volume 6; Issue 2; Pages: 118-128

Radiomic features are being increasingly studied for clinical applications. We aimed to assess the agreement among radiomic features when computed by several groups by using different software packages under very tightly controlled conditions, which

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3a88a30131008ed19420bbbbb0688a53

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Technical Note: Design and implementation of a high-throughput pipeline for reconstruction and quantitative analysis of CT image data

Autor: Grace Kim, John M. Hoffman, Matthew S. Brown, Nastaran Emaminejad, Michael F. McNitt-Gray, S Young, M Wahi-Anwar

Publikováno v: Medical physics, vol 46, iss 5
Hoffman, John; Emaminejad, Nastaran; Wahi-Anwar, Muhammad; Kim, Grace H; Brown, Matthew; Young, Stefano; et al.(2019). Technical Note: Design and Implementation of a High Throughput Pipeline for Reconstruction and Quantitative Analysis of CT Image Data.. Medical physics. doi: 10.1002/mp.13401. UC Office of the President: Research Grants Program Office (RGPO). Retrieved from: http://www.escholarship.org/uc/item/3594v5tw
Med Phys

Author(s): Hoffman, John; Emaminejad, Nastaran; Wahi-Anwar, Muhammad; Kim, Grace H; Brown, Matthew; Young, Stefano; McNitt-Gray, Michael | Abstract: PurposeWith recent substantial improvements in modern computing, interest in quantitative imaging wit

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1b688aecb8214ea8798e69d7899bbf33
https://escholarship.org/uc/item/3594v5tw

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The effects of variations in parameters and algorithm choices on calculated radiomics feature values: initial investigations and comparisons to feature variability across CT image acquisition conditions

Autor: Nastaran Emaminejad, Michael F. McNitt-Gray, Matthew S. Brown, M Wahi-Anwar, Grace Kim, John M. Hoffman

Publikováno v: Medical Imaging 2018: Computer-Aided Diagnosis.

Translation of radiomics into clinical practice requires confidence in its interpretations. This may be obtained via understanding and overcoming the limitations in current radiomic approaches. Currently there is a lack of standardization in radiomic

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::8c043870f2fb0ed58449a24ab2fb1e8e
https://doi.org/10.1117/12.2293864

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Akademický článek

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SU-F-R-39: Effects of Radiation Dose Reduction On Renal Cell Carcinoma Discrimination Using Multi-Phasic CT Imaging

Autor: Steven S. Raman, M Wahi-Anwar, D Ashen-Garry, M McNitt-Gray, Pechin Lo, Matthew S. Brown, E Pace-Soler, Hyun J. Kim, Heidi Coy, S Young

Publikováno v: Medical Physics. 43:3381-3382

Purpose: A method to discriminate different types of renal cell carcinoma (RCC) was developed using attenuation values observed in multiphasic contrast-enhanced CT. This work evaluates the sensitivity of this RCC discrimination task at different CT r

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::47c66779e59c033c7eae59403d30360d
https://doi.org/10.1118/1.4955810

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SU-G-206-15: Effects of Dose Reduction On Emphysema Score

Autor: Pechin Lo, M McNitt-Gray, Hyun J. Kim, S Young, John M. Hoffman, M Wahi-Anwar

Publikováno v: Medical Physics. 43:3642-3643

Purpose: The purpose of this study was to investigate the effects of reducing radiation dose levels on emphysema scores from lung cancer screening CT exams. Methods: 52 cases were selected from the National Lung Screening Trial (NLST) patients for wh

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::fe5441d1ae52c20ec498983b3e962ce4
https://doi.org/10.1118/1.4956956

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SU-G-206-01: A Fully Automated CT Tool to Facilitate Phantom Image QA for Quantitative Imaging in Clinical Trials

Autor: M McNitt-Gray, Pechin Lo, M Wahi-Anwar, Matthew S. Brown, Hyun J. Kim

Publikováno v: Medical Physics. 43:3639-3639

Purpose: The use of Quantitative Imaging (QI) methods in Clinical Trials requires both verification of adherence to a specified protocol and an assessment of scanner performance under that protocol, which are currently accomplished manually. This wor

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::c5ebd818a1a78f0884324f31123f9a9c
https://doi.org/10.1118/1.4956942

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