Zobrazeno 1 - 10
of 167
pro vyhledávání: '"Michael P, Recht"'
Autor:
Nancy R. Fefferman, Michael P. Recht
Publikováno v:
Academic Radiology. 30:617-620
Autor:
Michael P. Recht
Publikováno v:
Academic Radiology. 30:585-589
To achieve necessary social distancing during the Covid-19 pandemic, working from home was introduced at most if not all academic radiology departments. Although initially thought to be a temporary adaptation, the popularity of working from home amon
Autor:
Dana J. Lin, Michael Schwier, Bernhard Geiger, Esther Raithel, Heinrich von Busch, Jan Fritz, Mitchell Kline, Michael Brooks, Kevin Dunham, Mehool Shukla, Erin F. Alaia, Mohammad Samim, Vivek Joshi, William R. Walter, Jutta M. Ellermann, Hakan Ilaslan, David Rubin, Carl S. Winalski, Michael P. Recht
Publikováno v:
Investigative Radiology. 58:405-412
Autor:
Patricia M. Johnson, Dana J. Lin, Jure Zbontar, C. Lawrence Zitnick, Anuroop Sriram, Matthew Muckley, James S. Babb, Mitchell Kline, Gina Ciavarra, Erin Alaia, Mohammad Samim, William R. Walter, Liz Calderon, Thomas Pock, Daniel K. Sodickson, Michael P. Recht, Florian Knoll
Publikováno v:
Radiology. 307
Publikováno v:
Skeletal Radiology. 51:239-243
Artificial intelligence and deep learning (DL) offer musculoskeletal radiology exciting possibilities in multiple areas, including image reconstruction and transformation, tissue segmentation, workflow support, and disease detection. Novel DL-based i
Autor:
Michael P. Recht, Malte Westerhoff, Ankur M. Doshi, Matthew Young, Dana Ostrow, Dawn-marie Swahn, Sebastian Krueger, Stefan Thesen
Publikováno v:
AJR. American journal of roentgenology. 219(3)
Autor:
Matthew J. Muckley, Jure Zbontar, William R. Walter, Mohammad Samim, Tullie Murrell, Aaron Defazio, Nafissa Yakubova, Leon Rybak, Gina A. Ciavarra, C. Lawrence Zitnick, Zhengnan Huang, Dana J Lin, Florian Knoll, Mitchell J Kline, Erin F. Alaia, Michael G. Rabbat, Ruben Stern, Anuroop Sriram, Michael P. Recht, Yvonne W. Lui, Patricia M. Johnson, Daniel K. Sodickson
Publikováno v:
AJR Am J Roentgenol
OBJECTIVE: Deep learning (DL) image reconstruction has the potential to disrupt the current state of MRI by significantly decreasing the time required for MRI examinations. Our goal was to use DL to accelerate MRI to allow a 5-minute comprehensive ex
Autor:
Daniel Ortiz, Michael P. Recht, Margarita L. Zuley, Bruno Policeni, Michael A. Bruno, Matthew S. Davenport, Ramesh S. Iyer, Ramses Herrera, Amirh M. Johnson, Ivan Pedrosa, Gregory N. Nicola, Stefanie Weinstein, Marc H. Willis
Publikováno v:
Journal of the American College of Radiology
The ACR recognizes that radiology practices are grappling with when and how to safely resume routine radiology care during the coronavirus disease 2019 (COVID-19) pandemic. Although it is unclear how long the pandemic will last, it may persist for ma
Publikováno v:
AJR Am J Roentgenol
OBJECTIVE. The purpose of this study is to assess the perceptions of radiologists and emergency medicine (EM) providers regarding the quality, value, and challenges associated with using outside imaging (i.e., images obtained at facilities other than
Autor:
Mahmud Mossa-Basha, Sabiha Raoof, Robert S. Pyatt, Christoph I. Lee, Michael P. Recht, Samir B. Patel, David S. Kirsch, Ruth C. Carlos
Publikováno v:
Journal of the American College of Radiology
The practice leaders shared common concerns with different approaches in the immediate and longer terms. By the time this information is available to the reader, the projections for the disease burden and the recovery will have changed again. Already