Zobrazeno 1 - 10
of 127
pro vyhledávání: '"Sherif, Mehralivand"'
Autor:
Justus S. Israel, Laura-Maria Marcelin, Sherif Mehralivand, Jana Scholze, Jörg Hofmann, Matthias B. Stope, Martin Puhr, Christian Thomas, Holger H. H. Erb
Publikováno v:
Biology Direct, Vol 19, Iss 1, Pp 1-17 (2024)
Abstract Introduction Dysregulated androgen receptor (AR) activity is central to various diseases, particularly prostate cancer (PCa), in which it drives tumour initiation and progression. Consequently, antagonising AR activity via anti-androgens is
Externí odkaz:
https://doaj.org/article/7393c3fec1f5417aa2839dba9436cbb5
Autor:
Sherif Mehralivand, Christian Thomas, Martin Puhr, Frank Claessens, Arjanneke F. van de Merbel, Anna Dubrovska, Guido Jenster, Christof Bernemann, Ulrich Sommer, Holger H. H. Erb
Publikováno v:
Journal of Translational Medicine, Vol 22, Iss 1, Pp 1-8 (2024)
Abstract The androgen receptor (AR) is a crucial player in various aspects of male reproduction and has been associated with the development and progression of prostate cancer (PCa). Therefore, the protein is the linchpin of current PCa therapies. De
Externí odkaz:
https://doaj.org/article/2100acb6c028487ea1592470d98b2707
Autor:
Sherif Mehralivand, Arvin K. George, Anthony N. Hoang, Soroush Rais-Bahrami, Ardeshir R. Rastinehad, Amir H. Lebastchi, Michael Ahdoot, Mohummad Minhaj Siddiqui, Jonathan Bloom, Abhinav Sidana, Maria J. Merino, Peter L. Choyke, Joanna H. Shih, Baris Turkbey, Bradford J. Wood, Peter A. Pinto
Publikováno v:
Diagnostic and Interventional Radiology, Vol 27, Iss 3, Pp 394-400 (2021)
PURPOSEWe aimed to assess post-interventional and 36-month follow-up results of a single-center, single-arm, in-bore phase I trial of focal laser ablation (FLA) guided by multiparametric magnetic resonance imaging (mpMRI).METHODSFLA procedures were d
Externí odkaz:
https://doaj.org/article/28ac7cff50434d78aa5ae40ed37226dd
Autor:
Samira Masoudi, Sherif Mehralivand, Stephanie A. Harmon, Nathan Lay, Liza Lindenberg, Esther Mena, Peter A. Pinto, Deborah E. Citrin, James L. Gulley, Bradford J. Wood, William L. Dahut, Ravi A. Madan, Ulas Bagci, Peter L. Choyke, Baris Turkbey
Publikováno v:
IEEE Access, Vol 9, Pp 87531-87542 (2021)
In this study, we formulated an efficient deep learning-based classification strategy for characterizing metastatic bone lesions using computed tomography scans (CTs) of prostate cancer patients. For this purpose, 2,880 annotated bone lesions from CT
Externí odkaz:
https://doaj.org/article/453e9898b0f745f984167e9d0caf9d9f
Autor:
Karthik V Sarma, Alex G Raman, Nikhil J Dhinagar, Alan M Priester, Stephanie Harmon, Thomas Sanford, Sherif Mehralivand, Baris Turkbey, Leonard S Marks, Steven S Raman, William Speier, Corey W Arnold
Publikováno v:
PLoS ONE, Vol 16, Iss 6, p e0253829 (2021)
PurposeDeveloping large-scale datasets with research-quality annotations is challenging due to the high cost of refining clinically generated markup into high precision annotations. We evaluated the direct use of a large dataset with only clinically
Externí odkaz:
https://doaj.org/article/614ca6a1ac7743129fe5e2c5dec4ac65
Autor:
Sherif Mehralivand, Baris Turkbey
Publikováno v:
AI in Clinical Medicine. :298-306
Autor:
Kareem N. Rayn, Graham R. Hale, Jonathan B. Bloom, Samuel A. Gold, Filipe L.F. Carvalho, Sherif Mehralivand, Marcin Czarniecki, Bradford J. Wood, Maria J. Merino, Peter Choyke, Barış Türkbey, Peter A. Pinto, Piyush K. Agarwal
Publikováno v:
Diagnostic and Interventional Radiology, Vol 24, Iss 5, Pp 316-320 (2018)
PURPOSE:In the era of multiparametric magnetic resonance imaging (mpMRI) of the prostate gland, incidental findings are occasionally discovered on imaging. We aimed to report our experience of detecting incidental bladder cancers on mpMRI of the pros
Externí odkaz:
https://doaj.org/article/5fc84211a9d74e6689f750b9b0f2db2b
Autor:
Peter A. Pinto, Stephanie Harmon, Samira Masoudi, Dong Yang, Holger R. Roth, Deepak Kesani, Baris Turkbey, Daguang Xu, Thomas Sanford, Sherif Mehralivand, Bradford J. Wood, Maria J. Merino, Nathan Lay, Peter L. Choyke, Ziyue Xu
Publikováno v:
Academic Radiology. 29:1159-1168
Rationale and objectives Prostate MRI improves detection of clinically significant prostate cancer; however, its diagnostic performance has wide variation. Artificial intelligence (AI) has the potential to assist radiologists in the detection and cla
Autor:
Ming Li, Sherif Mehralivand, Sheng Xu, Nicole Varble, Ivane Bakhutashvili, Sandeep Gurram, Peter A. Pinto, Peter L. Choyke, Bradford J. Wood, Baris Turkbey
Publikováno v:
Journal of Medical Imaging. 10
Autor:
Nabila Khondakar, Christian Hague, Nitin Yerram, Michael Ahdoot, Peter A. Pinto, Baris Turkbey, Howard L. Parnes, Joanna Shih, Sherif Mehralivand, Michael Daneshvar, Maria J. Merino, Patrick T. Gomella, Andrew R Wilbur, Bradford J. Wood, Cheyenne Williams, Paul F. Pinsky, Sandeep Gurram, Minhaj Siddiqui
Publikováno v:
J Urol
PURPOSE: Multiple studies demonstrate MRI-targeted biopsy detects more clinically significant cancer than systematic biopsy, however some clinically significant cancers are detected by systematic biopsy only. While these events are rare, we sought to