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Seyed Sadegh Mohseni Salehi
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2020 – today
- 2023
- [c7]Bo Zhou, Neel Dey, Jo Schlemper, Seyed Sadegh Mohseni Salehi, Chi Liu, James S. Duncan, Michal Sofka:
DSFormer: A Dual-domain Self-supervised Transformer for Accelerated Multi-contrast MRI Reconstruction. WACV 2023: 4955-4964 - [i11]Bo Zhou, Jo Schlemper, Neel Dey, Seyed Sadegh Mohseni Salehi, Kevin N. Sheth, Chi Liu, James S. Duncan, Michal Sofka:
Dual-Domain Self-Supervised Learning for Accelerated Non-Cartesian MRI Reconstruction. CoRR abs/2302.09244 (2023) - 2022
- [j7]Bo Zhou
, Jo Schlemper, Neel Dey, Seyed Sadegh Mohseni Salehi, Kevin N. Sheth, Chi Liu, James S. Duncan
, Michal Sofka
:
Dual-domain self-supervised learning for accelerated non-Cartesian MRI reconstruction. Medical Image Anal. 81: 102538 (2022) - [c6]Neel Dey, Jo Schlemper, Seyed Sadegh Mohseni Salehi, Bo Zhou, Guido Gerig, Michal Sofka:
ContraReg: Contrastive Learning of Multi-modality Unsupervised Deformable Image Registration. MICCAI (6) 2022: 66-77 - [i10]Bo Zhou, Jo Schlemper, Neel Dey, Seyed Sadegh Mohseni Salehi, Chi Liu, James S. Duncan, Michal Sofka:
DSFormer: A Dual-domain Self-supervised Transformer for Accelerated Multi-contrast MRI Reconstruction. CoRR abs/2201.10776 (2022) - [i9]Neel Dey, Jo Schlemper, Seyed Sadegh Mohseni Salehi, Bo Zhou, Guido Gerig, Michal Sofka:
ContraReg: Contrastive Learning of Multi-modality Unsupervised Deformable Image Registration. CoRR abs/2206.13434 (2022) - 2020
- [j6]Ayush Singh
, Seyed Sadegh Mohseni Salehi
, Ali Gholipour
:
Deep Predictive Motion Tracking in Magnetic Resonance Imaging: Application to Fetal Imaging. IEEE Trans. Medical Imaging 39(11): 3523-3534 (2020)
2010 – 2019
- 2019
- [j5]Seyed Raein Hashemi
, Seyed Sadegh Mohseni Salehi, Deniz Erdogmus, Sanjay P. Prabhu
, Simon K. Warfield
, Ali Gholipour:
Asymmetric Loss Functions and Deep Densely-Connected Networks for Highly-Imbalanced Medical Image Segmentation: Application to Multiple Sclerosis Lesion Detection. IEEE Access 7: 1721-1735 (2019) - [j4]Seyed Sadegh Mohseni Salehi
, Shadab Khan, Deniz Erdogmus, Ali Gholipour
:
Real-Time Deep Pose Estimation With Geodesic Loss for Image-to-Template Rigid Registration. IEEE Trans. Medical Imaging 38(2): 470-481 (2019) - [c5]Jo Schlemper, Seyed Sadegh Mohseni Salehi, Prantik Kundu, Carole Lazarus, Hadrien Dyvorne, Daniel Rueckert, Michal Sofka:
Nonuniform Variational Network: Deep Learning for Accelerated Nonuniform MR Image Reconstruction. MICCAI (3) 2019: 57-64 - [i8]Ayush Singh, Seyed Sadegh Mohseni Salehi, Ali Gholipour:
Deep Predictive Motion Tracking in Magnetic Resonance Imaging: Application to Fetal Imaging. CoRR abs/1909.11625 (2019) - 2018
- [c4]Seyed Sadegh Mohseni Salehi, Seyed Raein Hashemi
, Clemente Velasco-Annis, Abdelhakim Ouaalam, Judy A. Estroff, Deniz Erdogmus, Simon K. Warfield
, Ali Gholipour:
Real-time automatic fetal brain extraction in fetal MRI by deep learning. ISBI 2018: 720-724 - [i7]Seyed Sadegh Mohseni Salehi, Shadab Khan, Deniz Erdogmus, Ali Gholipour:
Real-time Deep Registration With Geodesic Loss. CoRR abs/1803.05982 (2018) - [i6]Seyed Raein Hashemi, Seyed Sadegh Mohseni Salehi, Deniz Erdogmus, Sanjay P. Prabhu, Simon K. Warfield, Ali Gholipour:
Tversky as a Loss Function for Highly Unbalanced Image Segmentation using 3D Fully Convolutional Deep Networks. CoRR abs/1803.11078 (2018) - 2017
- [j3]Bahram Marami, Seyed Sadegh Mohseni Salehi, Onur Afacan
, Benoit Scherrer, Caitlin K. Rollins, Edward Yang, Judy A. Estroff, Simon K. Warfield
, Ali Gholipour:
Temporal slice registration and robust diffusion-tensor reconstruction for improved fetal brain structural connectivity analysis. NeuroImage 156: 475-488 (2017) - [j2]Seyed Sadegh Mohseni Salehi
, Deniz Erdogmus, Ali Gholipour:
Auto-Context Convolutional Neural Network (Auto-Net) for Brain Extraction in Magnetic Resonance Imaging. IEEE Trans. Medical Imaging 36(11): 2319-2330 (2017) - [c3]Seyed Sadegh Mohseni Salehi, Mohammad Moghadamfalahi, Fernando Quivira, Alexander Piers, Hooman Nezamfar, Deniz Erdogmus:
Decoding complex imagery hand gestures. EMBC 2017: 2968-2971 - [c2]Seyed Sadegh Mohseni Salehi, Mohammad Moghadamfalahi, Hooman Nezamfar, Marzieh Haghighi, Deniz Erdogmus:
Context-aware recursive bayesian graph traversal in BCIs. EMBC 2017: 2972-2975 - [c1]Seyed Sadegh Mohseni Salehi, Deniz Erdogmus, Ali Gholipour:
Tversky Loss Function for Image Segmentation Using 3D Fully Convolutional Deep Networks. MLMI@MICCAI 2017: 379-387 - [i5]Seyed Sadegh Mohseni Salehi, Deniz Erdogmus, Ali Gholipour:
Auto-context Convolutional Neural Network for Geometry-Independent Brain Extraction in Magnetic Resonance Imaging. CoRR abs/1703.02083 (2017) - [i4]Seyed Sadegh Mohseni Salehi, Mohammad Moghadamfalahi, Fernando Quivira, Alexander Piers, Hooman Nezamfar, Deniz Erdogmus:
Decoding Complex Imagery Hand Gestures. CoRR abs/1703.02929 (2017) - [i3]Seyed Sadegh Mohseni Salehi, Mohammad Moghadamfalahi, Hooman Nezamfar, Marzieh Haghighi, Deniz Erdogmus:
Context-Aware Recursive Bayesian Graph Traversal in BCIs. CoRR abs/1703.02938 (2017) - [i2]Seyed Sadegh Mohseni Salehi, Deniz Erdogmus, Ali Gholipour:
Tversky loss function for image segmentation using 3D fully convolutional deep networks. CoRR abs/1706.05721 (2017) - [i1]Seyed Sadegh Mohseni Salehi, Seyed Raein Hashemi, Clemente Velasco-Annis, Abdelhakim Ouaalam, Judy A. Estroff, Deniz Erdogmus, Simon K. Warfield, Ali Gholipour:
Real-Time Automatic Fetal Brain Extraction in Fetal MRI by Deep Learning. CoRR abs/1710.09338 (2017) - 2016
- [j1]Hooman Nezamfar
, Seyed Sadegh Mohseni Salehi, Mohammad Moghadamfalahi, Deniz Erdogmus:
FlashType™: A Context-Aware c-VEP-Based BCI Typing Interface Using EEG Signals. IEEE J. Sel. Top. Signal Process. 10(5): 932-941 (2016)
Coauthor Index
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