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 | 243* | 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 | 108 | 2018 |
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 | 16 | 2020 |
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 | 15 | 2020 |
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 | 15 | 2019 |
Hybrid labels for Brain Tumor Segmentation P Ahmad, S Qamar, SR Hashemi, L Shen Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2020 | 13 | 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 | 8 | 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 | | 2019 |