Tversky loss function for image segmentation using 3D fully convolutional deep networks SSM Salehi, D Erdogmus, A Gholipour International workshop on machine learning in medical imaging, 379-387, 2017 | 942 | 2017 |
Auto-context convolutional neural network (auto-net) for brain extraction in magnetic resonance imaging SSM Salehi, D Erdogmus, A Gholipour IEEE transactions on medical imaging 36 (11), 2319-2330, 2017 | 250 | 2017 |
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, 1721-1735, 2018 | 243* | 2018 |
Real-time Deep Pose Estimation with Geodesic Loss for Image-to-Template Rigid Registration SSM Salehi, S Khan, D Erdogmus, A Gholipour IEEE transactions on medical imaging, 2018 | 137* | 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 |
Deep learning techniques for magnetic resonance image reconstruction J Schlemper, SSM Salehi, M Sofka, P Kundu, Z Wang, C Lazarus, ... US Patent 11,467,239, 2022 | 92 | 2022 |
Temporal slice registration and robust diffusion-tensor reconstruction for improved fetal brain structural connectivity analysis B Marami, SSM Salehi, O Afacan, B Scherrer, CK Rollins, E Yang, ... NeuroImage 156, 475-488, 2017 | 65 | 2017 |
Multi-coil magnetic resonance imaging using deep learning J Schlemper, SSM Salehi, M Sofka US Patent 11,324,418, 2022 | 59 | 2022 |
Dual-domain self-supervised learning for accelerated non-Cartesian MRI reconstruction B Zhou, J Schlemper, N Dey, SSM Salehi, K Sheth, C Liu, JS Duncan, ... Medical Image Analysis 81, 102538, 2022 | 55* | 2022 |
Self ensembling techniques for generating magnetic resonance images from spatial frequency data J Schlemper, SSM Salehi, M Sofka US Patent 11,185,249, 2021 | 51 | 2021 |
Deep learning techniques for alignment of magnetic resonance images J Schlemper, SSM Salehi, M Sofka US Patent 11,344,219, 2022 | 49 | 2022 |
Deep learning techniques for magnetic resonance image reconstruction J Schlemper, SSM Salehi, M Sofka, P Kundu, Z Wang, C Lazarus, ... US Patent 11,300,645, 2022 | 46 | 2022 |
Deep predictive motion tracking in magnetic resonance imaging: application to fetal imaging A Singh, SSM Salehi, A Gholipour IEEE transactions on medical imaging 39 (11), 3523-3534, 2020 | 35 | 2020 |
FlashType: A Context-Aware c-VEP-Based BCI Typing Interface Using EEG Signals H Nezamfar, SSM Salehi, M Moghadamfalahi, D Erdogmus IEEE Journal of Selected Topics in Signal Processing 10 (5), 932-941, 2016 | 28 | 2016 |
Bedside detection of intracranial midline shift using portable magnetic resonance imaging KN Sheth, MM Yuen, MH Mazurek, BA Cahn, AM Prabhat, S Salehi, ... Scientific Reports 12 (1), 67, 2022 | 22 | 2022 |
Nonuniform variational network: deep learning for accelerated nonuniform MR image reconstruction J Schlemper, SSM Salehi, P Kundu, C Lazarus, H Dyvorne, D Rueckert, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 22 | 2019 |
Stimuli with opponent colors and higher bit rate enable higher accuracy for C-VEP BCI H Nezamfar, SSM Salehi, D Erdogmus 2015 IEEE Signal Processing in Medicine and Biology Symposium (SPMB), 1-6, 2015 | 20 | 2015 |
Decoding complex imagery hand gestures SSM Salehi, M Moghadamfalahi, F Quivira, A Piers, H Nezamfar, ... 2017 39th Annual International Conference of the IEEE Engineering in …, 2017 | 12 | 2017 |
Code-VEP vs. eye tracking: A comparison study H Nezamfar, SS Mohseni Salehi, M Higger, D Erdogmus Brain sciences 8 (7), 130, 2018 | 11 | 2018 |
Contrareg: Contrastive learning of multi-modality unsupervised deformable image registration N Dey, J Schlemper, SSM Salehi, B Zhou, G Gerig, M Sofka International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 10 | 2022 |