Omar Arnaout
Brigham and Women's Hospital
80 Papers
122 Citations
Omar Arnaout is an academic researcher from Brigham and Women's Hospital. The author has contributed to research in topics: Medicine & Internal medicine. The author has an hindex of 18, co-authored 51 publications. Previous affiliations of Omar Arnaout include Harvard University & Northwestern University.
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Papers
Artificial intelligence in cancer imaging: Clinical challenges and applications.
Wenya Linda Bi,Ahmed Hosny,Matthew B. Schabath,Maryellen L. Giger,Nicolai Juul Birkbak,Nicolai Juul Birkbak,Alireza Mehrtash,Alireza Mehrtash,Tavis Allison,Tavis Allison,Omar Arnaout,Christopher Abbosh,Christopher Abbosh,Ian F. Dunn,Raymond H. Mak,Rulla M. Tamimi,Clare M. Tempany,Charles Swanton,Charles Swanton,Udo Hoffmann,Lawrence H. Schwartz,Lawrence H. Schwartz,Robert J. Gillies,Raymond Y. Huang,Hugo J.W.L. Aerts,Hugo J.W.L. Aerts +25 more
TL;DR: The authors review the current state of AI as applied to medical imaging of cancer and describe advances in 4 tumor types to illustrate how common clinical problems are being addressed.
1.4K
Machine Learning and Neurosurgical Outcome Prediction: A Systematic Review
Joeky T. Senders,Patrick Staples,Aditya V. Karhade,Mark M. Zaki,William B. Gormley,Marike L. D. Broekman,Timothy R. Smith,Omar Arnaout +7 more
TL;DR: Based on the specific prediction task evaluated and the type of input features included, ML models predicted outcomes after neurosurgery with a median accuracy and area under the receiver operating curve of 94.5% and 0.83, respectively.
402
Residual Convolutional Neural Network for the Determination of IDH Status in Low- and High-Grade Gliomas from MR Imaging
Ken Chang,Harrison X. Bai,Hao Zhou,Chang Su,Wenya Linda Bi,Ena Agbodza,Vasileios K. Kavouridis,Joeky T. Senders,Alessandro Boaro,Andrew Beers,Biqi Zhang,Alexandra Capellini,Weihua Liao,Qin Shen,Xuejun Li,Bo Xiao,Jane Cryan,Shakti Ramkissoon,Lori A. Ramkissoon,Keith L. Ligon,Patrick Y. Wen,Ranjit S. Bindra,John H. Woo,Omar Arnaout,Elizabeth R. Gerstner,Paul J. Zhang,Bruce R. Rosen,Li Yang,Raymond Y. Huang,Jayashree Kalpathy-Cramer +29 more
TL;DR: A deep learning technique is developed to noninvasively predict IDH genotype in grade II–IV glioma using conventional MR imaging using a multi-institutional data set.
Automatic assessment of glioma burden: a deep learning algorithm for fully automated volumetric and bidimensional measurement.
Ken Chang,Andrew Beers,Harrison X. Bai,James M. Brown,K. Ina Ly,Xuejun Li,Joeky T. Senders,Vasileios K. Kavouridis,Alessandro Boaro,Chang Su,Wenya Linda Bi,Otto Rapalino,Weihua Liao,Qin Shen,Hao Zhou,Bo Xiao,Yinyan Wang,Paul J. Zhang,Marco C. Pinho,Patrick Y. Wen,Tracy T. Batchelor,Jerrold L. Boxerman,Omar Arnaout,Bruce R. Rosen,Elizabeth R. Gerstner,Li Yang,Raymond Y. Huang,Jayashree Kalpathy-Cramer +27 more
TL;DR: A deep learning algorithm that automatically segments abnormal fluid attenuated inversion recovery (FLAIR) hyperintensity and contrast-enhancing tumor, quantitating tumor volumes as well as the product of maximum bidimensional diameters according to the RANO criteria demonstrates potential utility for evaluating tumor burden in complex posttreatment settings.
169
Endovascular stenting of extracranial carotid and vertebral artery dissections: a systematic review of the literature.
Martin H. Pham,Rudy J. Rahme,Omar Arnaout,Michael C. Hurley,Richard A. Bernstein,H. Hunt Batjer,Bernard R. Bendok +6 more
TL;DR: Endovascular management of extracranial arterial dissection continues to evolve and current experience shows that this treatment option is safe and technically feasible.
163