Seyed Raein Hashemi
Seyed Raein Hashemi
TeraRecon Inc, Brigham and Women's Hospital, Boston Children's Hospital, Northeastern University
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα - Αρχική σελίδα
Παρατίθεται από
Παρατίθεται από
Asymmetric Loss Functions and Deep Densely Connected Networks for Highly Imbalanced Medical Image Segmentation: Application to Multiple Sclerosis Lesion Detection
SR Hashemi, SSM Salehi, D Erdogmus, SP Prabhu, SK Warfield, ...
IEEE Access 7 (1), 1721-1735, 2018
Real-time automatic fetal brain extraction in fetal MRI by deep learning
SSM Salehi, SR Hashemi, C Velasco-Annis, A Ouaalam, JA Estroff, ...
2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018 …, 2018
Exclusive Independent Probability Estimation using Deep 3D Fully Convolutional DenseNets: Application to IsoIntense Infant Brain MRI Segmentation
SR Hashemi, SP Prabhu, SK Warfield, A Gholipour
Proceedings of Machine Learning Research (MIDL 2019), 260-274, 2019
Early adoption of a certainty scale to improve diagnostic certainty communication
AB Shinagare, DP Alper, SR Hashemi, JL Chai, MM Hammer, GW Boland, ...
Journal of the American College of Radiology 17 (10), 1276-1284, 2020
Effect of a Report Template–Enabled Quality Improvement Initiative on Use of Preferred Phrases for Communicating Normal Findings in Structured Abdominal CT and MRI Reports
DP Alper, AB Shinagare, SR Hashemi, DI Glazer, PJ DiPiro, G Boland, ...
American Journal of Roentgenology 214, 1-8, 2020
Three-Dimensional Neural Network to Automatically Assess Liver Tumor Burden Change on Consecutive Liver MRIs
A Goehler, TMH Hsu, R Lacson, I Gujrathi, R Hashemi, G Chlebus, ...
Journal of the American College of Radiology 17 (11), 1475-1484, 2020
Hybrid labels for Brain Tumor Segmentation
P Ahmad, S Qamar, SR Hashemi, L Shen
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2020
Development of a Deep Learning Algorithm for Segmentation of Kidney Tumor Imaging
SR Hashemi, B Gershman, VI Valtchinov
University of Minnesota Libraries Publishing, 2019
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