Seyed Sadegh Mohseni Salehi

Publication Activity (10 Years)

Years Active: 2016-2023
Publications (10 Years): 25

Top Topics

Image Segmentation

Magnetic Resonance Imaging

Top Venues

IEEE Trans. Medical Imaging

IEEE J. Sel. Top. Signal Process.

Publications

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 (2023)
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)
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)
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 (2022)
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 (2022)
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 (2022)
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) (2020)
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)
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 (2019)
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) (2019)
Ayush Singh, Seyed Sadegh Mohseni Salehi, Ali Gholipour
Deep Predictive Motion Tracking in Magnetic Resonance Imaging: Application to Fetal Imaging. CoRR (2019)
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)
Seyed Sadegh Mohseni Salehi, Shadab Khan, Deniz Erdogmus, Ali Gholipour
Real-time Deep Registration With Geodesic Loss. CoRR (2018)
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 (2018)
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 (2017)
Seyed Sadegh Mohseni Salehi, Mohammad Moghadamfalahi, Hooman Nezamfar, Marzieh Haghighi, Deniz Erdogmus
Context-aware recursive bayesian graph traversal in BCIs. EMBC (2017)
Seyed Sadegh Mohseni Salehi, Mohammad Moghadamfalahi, Fernando Quivira, Alexander Piers, Hooman Nezamfar, Deniz Erdogmus
Decoding Complex Imagery Hand Gestures. CoRR (2017)
Seyed Sadegh Mohseni Salehi, Deniz Erdogmus, Ali Gholipour
Tversky Loss Function for Image Segmentation Using 3D Fully Convolutional Deep Networks. MLMI@MICCAI (2017)
Seyed Sadegh Mohseni Salehi, Deniz Erdogmus, Ali Gholipour
Auto-context Convolutional Neural Network for Geometry-Independent Brain Extraction in Magnetic Resonance Imaging. CoRR (2017)
Seyed Sadegh Mohseni Salehi, Deniz Erdogmus, Ali Gholipour
Tversky loss function for image segmentation using 3D fully convolutional deep networks. CoRR (2017)
Seyed Sadegh Mohseni Salehi, Mohammad Moghadamfalahi, Hooman Nezamfar, Marzieh Haghighi, Deniz Erdogmus
Context-Aware Recursive Bayesian Graph Traversal in BCIs. CoRR (2017)
Seyed Sadegh Mohseni Salehi, Mohammad Moghadamfalahi, Fernando Quivira, Alexander Piers, Hooman Nezamfar, Deniz Erdogmus
Decoding complex imagery hand gestures. EMBC (2017)
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) (2017)
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 (2017)
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) (2016)