Zobrazeno 1 - 10
of 42
pro vyhledávání: '"Andrew Beers"'
Autor:
Jayashree Kalpathy-Cramer, Raymond Y. Huang, Li Yang, Bruce R. Rosen, Paul J. Zhang, Elizabeth R. Gerstner, Omar Arnaout, John Woo, Ranjit S. Bindra, Patrick Y. Wen, Keith Ligon, Lori Ramkissoon, Shakti Ramkissoon, Jane Cryan, Bo Xiao, Xuejun Li, Qin Shen, Weihua Liao, Alexandra Capellini, Biqi Zhang, Andrew Beers, Alessandro Boaro, Joeky T. Senders, Vasileios K. Kavouridis, Ena Agbodza, Wenya Linda Bi, Chang Su, Hao Zhou, Harrison X. Bai, Ken Chang
Purpose: Isocitrate dehydrogenase (IDH) mutations in glioma patients confer longer survival and may guide treatment decision making. We aimed to predict the IDH status of gliomas from MR imaging by applying a residual convolutional neural network to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0ccdb846235baf170cf7eee8745caaab
https://doi.org/10.1158/1078-0432.c.6525570.v1
https://doi.org/10.1158/1078-0432.c.6525570.v1
Autor:
Jayashree Kalpathy-Cramer, Raymond Y. Huang, Li Yang, Bruce R. Rosen, Paul J. Zhang, Elizabeth R. Gerstner, Omar Arnaout, John Woo, Ranjit S. Bindra, Patrick Y. Wen, Keith Ligon, Lori Ramkissoon, Shakti Ramkissoon, Jane Cryan, Bo Xiao, Xuejun Li, Qin Shen, Weihua Liao, Alexandra Capellini, Biqi Zhang, Andrew Beers, Alessandro Boaro, Joeky T. Senders, Vasileios K. Kavouridis, Ena Agbodza, Wenya Linda Bi, Chang Su, Hao Zhou, Harrison X. Bai, Ken Chang
Supplementary Data
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d3ca00eee80f7d6c12d291f7836b4a64
https://doi.org/10.1158/1078-0432.22463916
https://doi.org/10.1158/1078-0432.22463916
Publikováno v:
Journal of Online Trust and Safety. 1
It has been difficult to address the impact and targeting of online foreign influence operations, because researchers rarely have insight into the demographic characteristics of users who interact with content on large social media platforms. To addr
Autor:
Ian Kennedy, Morgan Wack, Andrew Beers, Joseph S. Schafer, Isabella Garcia-Camargo, Emma S. Spiro, Kate Starbird
This paper introduces and presents a first analysis of a uniquely curated dataset of misinformation, disinformation, and rumors spreading on Twitter about the 2020 U.S. Election. Previous research on misinformation — an umbrella term for false and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5596fea4614276205abe6aebfbc73048
https://doi.org/10.31235/osf.io/pgv2x
https://doi.org/10.31235/osf.io/pgv2x
Autor:
Etta D. Pisano, Sheela Agarwal, Katharina Hoebel, Jay B. Patel, Praveer Singh, Keith J. Dreyer, Ken Chang, Bibb Allen, Nathan Gaw, Andrew Beers, Laura Brink, Laura Coombs, Nishanth Thumbavanam Arun, Jayashree Kalpathy-Cramer, Meesam Shah, Mike Tilkin
Publikováno v:
Journal of the American College of Radiology. 17:1653-1662
Objective We developed deep learning algorithms to automatically assess BI-RADS breast density. Methods Using a large multi-institution patient cohort of 108,230 digital screening mammograms from the Digital Mammographic Imaging Screening Trial, we i
Autor:
Katharina Hoebel, Jayashree Kalpathy-Cramer, James M. Brown, Andrew Beers, Bruce R. Rosen, K. Ina Ly, Priscilla K. Brastianos, Elizabeth R. Gerstner, Ken Chang, Sara M. Tolaney, Jay B. Patel
Publikováno v:
Neuroinformatics
Translating deep learning research from theory into clinical practice has unique challenges, specifically in the field of neuroimaging. In this paper, we present DeepNeuro, a Python-based deep learning framework that puts deep neural networks for neu
Autor:
Michael A Silva, Mohammad Ali Aziz-Sultan, Troy Gallerani, William B. Gormley, Katharina Hoebel, Andrew Beers, Ken Chang, Jay B. Patel, Omar Arnaout, Vasileios K. Kavouridis, James M. Brown, Alfred P. See, Nirav J. Patel, Jayashree Kalpathy-Cramer
Publikováno v:
World Neurosurgery. 131:e46-e51
Machine learning (ML) has been increasingly used in medicine and neurosurgery. We sought to determine whether ML models can distinguish ruptured from unruptured aneurysms and identify features associated with rupture.We performed a retrospective revi
Autor:
Amir A. Amini, Michael F. McNitt-Gray, Keyvan Farahani, Yoganand Balagurunathan, Paul F. Pinsky, Gustavo Perez, Laura Alexandra Daza, Sandy Napel, Jayashree Kalpathy-Cramer, M. Mehdi Farhangi, Lubomir M. Hadjiiski, Alireza Mehrtash, Wiem Safta, Ali Gholipour, Joseph Enguehard, Ehwa Yang, Ricard Delgado-Gonzalo, Aditya Bagari, Renkun Ni, Benjamin Veasey, Kiran Vaidhya, Tina Kapur, Jung Won Moon, Hichem Frigui, Laura Silvana Castillo, Gabriel Bernardino, Pablo Arbeláez, Dmitry B. Goldgof, Xue Feng, Andrew Beers
Publikováno v:
IEEE Trans Med Imaging
IEEE transactions on medical imaging, vol 40, iss 12
IEEE transactions on medical imaging, vol 40, iss 12
Lung cancer is by far the leading cause of cancer death in the US. Recent studies have demonstrated the effectiveness of screening using low dose CT (LDCT) in reducing lung cancer related mortality. While lung nodules are detected with a high rate of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::934c16463d26ea1a8a0252428eb87f02
https://europepmc.org/articles/PMC9531053/
https://europepmc.org/articles/PMC9531053/
Publikováno v:
AoIR Selected Papers of Internet Research.
The COVID-19 pandemic has been marked by a controversy in the United States over the public health benefits of mask-wearing, especially on social media. Many have contested the scientific consensus that masks are an effective method to prevent and sl
Autor:
Otto Rapalino, Andrew Beers, Bruce R. Rosen, Bo Xiao, Marco C. Pinho, Paul J. Zhang, Harrison X. Bai, Jerrold L. Boxerman, Yinyan Wang, Alessandro Boaro, Jayashree Kalpathy-Cramer, Ken Chang, Tracy T. Batchelor, James M. Brown, Patrick Y. Wen, Xuejun Li, Joeky T. Senders, Li Yang, Raymond Y. Huang, Weihua Liao, Hao Zhou, Elizabeth R. Gerstner, Wenya Linda Bi, Vasileios K. Kavouridis, Omar Arnaout, Chang Su, Qin Shen, K. Ina Ly
Publikováno v:
Neuro Oncol
Neuro-Oncology
Neuro-Oncology
Background Longitudinal measurement of glioma burden with MRI is the basis for treatment response assessment. In this study, we developed a deep learning algorithm that automatically segments abnormal fluid attenuated inversion recovery (FLAIR) hyper