Zobrazeno 1 - 10
of 1 027
pro vyhledávání: '"Perry J Pickhardt"'
Autor:
Joshua D. Warner, Glen M. Blake, John W. Garrett, Matthew H. Lee, Leslie W. Nelson, Ronald M. Summers, Perry J. Pickhardt
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-14 (2024)
Abstract Diabetes mellitus and metabolic syndrome are closely linked with visceral body composition, but clinical assessment is limited to external measurements and laboratory values including hemoglobin A1c (HbA1c). Modern deep learning and AI algor
Externí odkaz:
https://doaj.org/article/0805c1dcca86498cacadbe56501210ff
Autor:
Ayis Pyrros, Stephen M. Borstelmann, Ramana Mantravadi, Zachary Zaiman, Kaesha Thomas, Brandon Price, Eugene Greenstein, Nasir Siddiqui, Melinda Willis, Ihar Shulhan, John Hines-Shah, Jeanne M. Horowitz, Paul Nikolaidis, Matthew P. Lungren, Jorge Mario Rodríguez-Fernández, Judy Wawira Gichoya, Sanmi Koyejo, Adam E Flanders, Nishith Khandwala, Amit Gupta, John W. Garrett, Joseph Paul Cohen, Brian T. Layden, Perry J. Pickhardt, William Galanter
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-1 (2024)
Externí odkaz:
https://doaj.org/article/e2d1fcc1da9a4a75bc20a627cd3c3ba8
Autor:
Ayis Pyrros, Stephen M. Borstelmann, Ramana Mantravadi, Zachary Zaiman, Kaesha Thomas, Brandon Price, Eugene Greenstein, Nasir Siddiqui, Melinda Willis, Ihar Shulhan, John Hines-Shah, Jeanne M. Horowitz, Paul Nikolaidis, Matthew P. Lungren, Jorge Mario Rodríguez-Fernández, Judy Wawira Gichoya, Sanmi Koyejo, Adam E Flanders, Nishith Khandwala, Amit Gupta, John W. Garrett, Joseph Paul Cohen, Brian T. Layden, Perry J. Pickhardt, William Galanter
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-12 (2023)
Abstract Deep learning (DL) models can harness electronic health records (EHRs) to predict diseases and extract radiologic findings for diagnosis. With ambulatory chest radiographs (CXRs) frequently ordered, we investigated detecting type 2 diabetes
Externí odkaz:
https://doaj.org/article/7a733957020f47618b736360b6cd8f9b
Vector textures derived from higher order derivative domains for classification of colorectal polyps
Autor:
Weiguo Cao, Marc J. Pomeroy, Zhengrong Liang, Almas F. Abbasi, Perry J. Pickhardt, Hongbing Lu
Publikováno v:
Visual Computing for Industry, Biomedicine, and Art, Vol 5, Iss 1, Pp 1-14 (2022)
Abstract Textures have become widely adopted as an essential tool for lesion detection and classification through analysis of the lesion heterogeneities. In this study, higher order derivative images are being employed to combat the challenge of the
Externí odkaz:
https://doaj.org/article/a78d2f730e00491e8f101826466f49ca
Autor:
Sungwon Lee, Daniel C. Elton, James L. Gulley, Perry J. Pickhardt, William L. Dahut, Ravi A. Madan, Peter A. Pinto, Deborah E. Citrin, Ronald M. Summers
Publikováno v:
Tomography, Vol 8, Iss 2, Pp 607-616 (2022)
Traditionally, atherosclerotic risk factors for cardiovascular disease and cancer are assessed using coronary artery calcium scoring. However, this neglects the impact of atherosclerotic disease more proximal to the cancer site. This study assesses w
Externí odkaz:
https://doaj.org/article/83477bcfd75b49519e6ddf7705112213
Autor:
Weiguo Cao, Zhengrong Liang, Yongfeng Gao, Marc J. Pomeroy, Fangfang Han, Almas Abbasi, Perry J. Pickhardt
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-11 (2021)
Abstract Malignant lesions have a high tendency to invade their surrounding environment compared to benign ones. This paper proposes a dynamic lesion model and explores the 2nd order derivatives at each image voxel, which reflect the rate of change o
Externí odkaz:
https://doaj.org/article/6eeeb9f0e11e4bf18f7064c086038263
Autor:
Yichen Wei, Jie Gong, Xin He, Bo Liu, Tiejun Liu, Shuohui Yang, Zhipeng Zhou, Lingyan Liang, Songhua Zhan, Ziqiang Xia, Gaoxiong Duan, Bin Lin, Qiuli Han, Shasha Li, Wei Qin, Perry J. Pickhardt, Demao Deng
Publikováno v:
Frontiers in Oncology, Vol 12 (2022)
ObjectiveTo develop and validate a radiomic nomogram for individualized prediction of hepatocellular carcinoma (HCC) in HBV cirrhosis patients based on baseline magnetic resonance imaging examinations and clinical data.Methods364 patients with HBV ci
Externí odkaz:
https://doaj.org/article/01c7085b7cf84214a18f58c14cecdee5
Autor:
Weiguo Cao, Marc J. Pomeroy, Yongfeng Gao, Matthew A. Barish, Almas F. Abbasi, Perry J. Pickhardt, Zhengrong Liang
Publikováno v:
Visual Computing for Industry, Biomedicine, and Art, Vol 2, Iss 1, Pp 1-12 (2019)
Abstract Texture features have played an essential role in the field of medical imaging for computer-aided diagnosis. The gray-level co-occurrence matrix (GLCM)-based texture descriptor has emerged to become one of the most successful feature sets fo
Externí odkaz:
https://doaj.org/article/c5fcc9c7ca4e467c8b3be4680bf9746b
Autor:
Annie M. Zlevor, Meridith A. Kisting, Allison B. Couillard, Annika E. Rossebo, Timothy P. Szczykutowicz, Lu Mao, James K. White, Michael P. Hartung, Lori Mankowski Gettle, J. Louis Hinshaw, Perry J. Pickhardt, Timothy J. Ziemlewicz, Marcia L. Foltz, Fred T. Lee
Publikováno v:
Journal of Vascular and Interventional Radiology. 34:910-918
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::df8d3f5906b96e83b6c0a48c7adfc983
https://doi.org/10.1016/j.jvir.2023.01.024
https://doi.org/10.1016/j.jvir.2023.01.024
Publikováno v:
American Journal of Roentgenology. :1-9
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::74d0e6af9cd1099705ce5abe63eeaf9d
https://doi.org/10.2214/ajr.22.28745
https://doi.org/10.2214/ajr.22.28745