Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Adriana V, Gregory"'
Publikováno v:
Frontiers in Radiology, Vol 3 (2023)
IntroductionMethods that automatically flag poor performing predictions are drastically needed to safely implement machine learning workflows into clinical practice as well as to identify difficult cases during model training.MethodsDisagreement betw
Externí odkaz:
https://doaj.org/article/6a649f3b3c4a4b2e959a4280b2da568b
Autor:
Dalia Zubidat, Christian Hanna, Amarjyot K. Randhawa, Byron H. Smith, Maroun Chedid, Daniel-Hasan N. Kaidbay, Luca Nardelli, Yaman G. Mkhaimer, Reem M. Neal, Charles D. Madsen, Sarah R. Senum, Adriana V. Gregory, Timothy L. Kline, Ziad M. Zoghby, Stephen M. Broski, Naim S. Issa, Peter C. Harris, Vicente E. Torres, Jad G. Sfeir, Fouad T. Chebib
Publikováno v:
Bone Reports, Vol 18, Iss , Pp 101655- (2023)
ADPKD is caused by pathogenic variants in PKD1 or PKD2, encoding polycystin-1 and -2 proteins. Polycystins are expressed in osteoblasts and chondrocytes in animal models, and loss of function is associated with low bone mineral density (BMD) and volu
Externí odkaz:
https://doaj.org/article/f14b4e1338eb4ca6b2a406927c9c0dc0
Autor:
Juanjuan Gu, Eric C. Polley, Max Denis, Jodi M. Carter, Sandhya Pruthi, Adriana V. Gregory, Judy C. Boughey, Robert T. Fazzio, Mostafa Fatemi, Azra Alizad
Publikováno v:
Breast Cancer Research, Vol 23, Iss 1, Pp 1-13 (2021)
Abstract Background Early prediction of tumor response to neoadjuvant chemotherapy (NACT) is crucial for optimal treatment and improved outcome in breast cancer patients. The purpose of this study is to investigate the role of shear wave elastography
Externí odkaz:
https://doaj.org/article/3072cfeae95947c2bc0c81140888d651
Autor:
Theodora A. Potretzke, Panagiotis Korfiatis, Daniel J. Blezek, Marie E. Edwards, Jason R. Klug, Cole J. Cook, Adriana V. Gregory, Peter C. Harris, Fouad T. Chebib, Marie C. Hogan, Vicente E. Torres, Candice W. Bolan, Kumaresan Sandrasegaran, Akira Kawashima, Jeremy D. Collins, Naoki Takahashi, Robert P. Hartman, Eric E. Williamson, Bernard F. King, Matthew R. Callstrom, Bradley J. Erickson, Timothy L. Kline
Publikováno v:
Mayo Clinic Proceedings. 98:689-700
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f31c44a6d3c66cddbd185ee72beffbb9
https://doi.org/10.1016/j.mayocp.2022.12.019
https://doi.org/10.1016/j.mayocp.2022.12.019
Autor:
Tatsuya Suwabe, Alanna M. Chamberlain, Jill M. Killian, Bernard F. King, Adriana V. Gregory, Charles D. Madsen, Xiaofang Wang, Timothy L. Kline, Fouad T. Chebib, Marie C. Hogan, Patrick S. Kamath, Peter C. Harris, Vicente E. Torres
Publikováno v:
JHEP Reports, Vol 2, Iss 6, Pp 100166- (2020)
Background & Aims: Isolated autosomal-dominant polycystic liver disease (ADPLD) is generally considered a rare disease. However, the frequency of truncating mutations to ADPLD genes in large, population sequencing databases is 1:496. With the increas
Externí odkaz:
https://doaj.org/article/b0a46e63d2e441f8913c41529029e50d
Autor:
Stijn Wigerinck, Adriana V Gregory, Byron H Smith, Ioan-Andrei Iliuta, Christian Hanna, Maroun Chedid, Hasan-Daniel N Kaidbay, Sarah R Senum, Shebaz Shukoor, Peter C Harris, Vicente E Torres, Timothy L Kline, Fouad T Chebib
Publikováno v:
Clinical Kidney Journal.
Background and objectives Autosomal Dominant Polycystic Kidney Disease (ADPKD) presents with variable disease severity and progression. Advanced imaging biomarkers may provide insights into cystic and non-cystic processes leading to kidney failure in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::720bb455f4369678812bcf77046463ed
https://doi.org/10.1093/ckj/sfad114
https://doi.org/10.1093/ckj/sfad114
Autor:
Harrison C. Gottlich, Adriana V. Gregory, Vidit Sharma, Abhinav Khanna, Amr U. Moustafa, Christine M. Lohse, Theodora A. Potretzke, Panagiotis Korfiatis, Aaron M. Potretzke, Aleksandar Denic, Andrew D. Rule, Naoki Takahashi, Bradley J. Erickson, Bradley C. Leibovich, Timothy L. Kline
Publikováno v:
Journal of Digital Imaging.
The aim of this study is to investigate the use of an exponential-plateau model to determine the required training dataset size that yields the maximum medical image segmentation performance. CT and MR images of patients with renal tumors acquired be
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::94eea045250068aac44b6c5850b4acc4
https://doi.org/10.1007/s10278-023-00804-1
https://doi.org/10.1007/s10278-023-00804-1
Autor:
Panagiotis Korfiatis, Aleksandar Denic, Marie E. Edwards, Adriana V. Gregory, Darryl E. Wright, Aidan Mullan, Joshua Augustine, Andrew D. Rule, Timothy L. Kline
Publikováno v:
J Am Soc Nephrol
BACKGROUND: In kidney transplantation, a contrast CT scan is obtained in the donor candidate to detect subclinical pathology in the kidney. Recent work from the Aging Kidney Anatomy study has characterized kidney, cortex, and medulla volumes using a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3f5316ca0f1ef72fe40cfdc6b392d7d2
https://doi.org/10.1681/asn.2021030404
https://doi.org/10.1681/asn.2021030404
Autor:
Adriana V. Gregory, Fouad T. Chebib, Bhavya Poudyal, Heather L. Holmes, Alan S.L. Yu, Douglas P. Landsittel, Kyongtae T. Bae, Arlene B. Chapman, Rahbari-Oskoui Frederic, Michal Mrug, William M. Bennett, Peter C. Harris, Bradley J. Erickson, Vicente E. Torres, Timothy L. Kline
Publikováno v:
Kidney International.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e925e7bfd585428f4758478cd679db65
https://doi.org/10.1016/j.kint.2023.01.010
https://doi.org/10.1016/j.kint.2023.01.010
Autor:
Pallabi Shrestha, Bhavya Poudyal, Sepideh Yadollahi, Darryl E. Wright, Adriana V. Gregory, Joshua D. Warner, Panagiotis Korfiatis, Isabel C. Green, Sarah L. Rassier, Andrea Mariani, Bohyun Kim, Shannon K. Laughlin-Tommaso, Timothy L. Kline
Publikováno v:
Gynecologic oncology. 166(3)
Machine learning, deep learning, and artificial intelligence (AI) are terms that have made their way into nearly all areas of medicine. In the case of medical imaging, these methods have become the state of the art in nearly all areas from image reco
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d3e4f3e7c4393067637fd9ce51a81e40
https://pubmed.ncbi.nlm.nih.gov/35914978
https://pubmed.ncbi.nlm.nih.gov/35914978