Seyed Sadegh Mohseni Salehi
Seyed Sadegh Mohseni Salehi
Senior Deep Learning Scientist, Hyperfine
Verified email at hyperfine.io
Title
Cited by
Cited by
Year
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
2722017
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
1672017
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
117*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
582018
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
46*2018
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
462017
Deep learning techniques for magnetic resonance image reconstruction
J Schlemper, SSM Salehi, M Sofka, P Kundu, Z Wang, C Lazarus, ...
US Patent App. 16/524,598, 2020
292020
Deep learning techniques for suppressing artefacts in magnetic resonance images
C Lazarus, P Kundu, S Tang, SSM Salehi, M Sofka, J Schlemper, ...
US Patent App. 16/541,511, 2020
242020
Deep learning techniques for magnetic resonance image reconstruction
J Schlemper, SSM Salehi, M Sofka, P Kundu, Z Wang, C Lazarus, ...
US Patent App. 16/524,638, 2020
232020
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
192016
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
152015
Multi-coil magnetic resonance imaging using deep learning
J Schlemper, SSM Salehi, M Sofka
US Patent App. 16/817,402, 2020
102020
Nonuniform variational network: deep learning for accelerated nonuniform MR image reconstruction
J Schlemper, SSM Salehi, P Kundu, C Lazarus, H Dyvorne, D Rueckert, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2019
102019
Deep learning techniques for generating magnetic resonance images from spatial frequency data
J Schlemper, SSM Salehi, M Sofka, P Kundu, C Lazarus, HA Dyvorne, ...
US Patent App. 16/817,370, 2020
72020
Deep learning techniques for alignment of magnetic resonance images
J Schlemper, SSM Salehi, M Sofka
US Patent App. 16/817,269, 2020
72020
Self ensembling techniques for generating magnetic resonance images from spatial frequency data
J Schlemper, SSM Salehi, M Sofka
US Patent App. 16/817,454, 2020
72020
Code-VEP vs. eye tracking: A comparison study
H Nezamfar, SS Mohseni Salehi, M Higger, D Erdogmus
Brain sciences 8 (7), 130, 2018
72018
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
72017
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
32020
Method as a preprocessing stage for tracking sperms progressive motility
SSMS Monfared, E Lashgari, AA Aghdam, BH Khalaj
IEEE International Symposium on Signal Processing and Information Technology …, 2013
22013
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Articles 1–20