FlashType™: A Context-Aware c-VEP-Based BCI Typing Interface Using EEG Signals. - Hooman Nezamfar; Seyed Sadegh Mohseni Salehi; Mohammad Moghadamfalahi; Deniz Erdogmus (IEEE J. Sel. Top. Signal Process., 2016)

Context-aware recursive bayesian graph traversal in BCIs. - Seyed Sadegh Mohseni Salehi; Mohammad Moghadamfalahi; Hooman Nezamfar; Marzieh Haghighi; Deniz Erdogmus (EMBC, 2017)

Decoding complex imagery hand gestures. - Seyed Sadegh Mohseni Salehi; Mohammad Moghadamfalahi; Fernando Quivira; Alexander Piers; Hooman Nezamfar; Deniz Erdogmus (EMBC, 2017)

Tversky Loss Function for Image Segmentation Using 3D Fully Convolutional Deep Networks. - Seyed Sadegh Mohseni Salehi; Deniz Erdogmus; Ali Gholipour (MLMI@MICCAI, 2017)

Auto-context Convolutional Neural Network for Geometry-Independent Brain Extraction in Magnetic Resonance Imaging. - Seyed Sadegh Mohseni Salehi; Deniz Erdogmus; Ali Gholipour (CoRR, 2017)

Temporal slice registration and robust diffusion-tensor reconstruction for improved fetal brain structural connectivity analysis. - Bahram Marami; Seyed Sadegh Mohseni Salehi; Onur Afacan; Benoit Scherrer; Caitlin K. Rollins; Edward Yang; Judy A. Estroff; Simon K. Warfield; Ali Gholipour (NeuroImage, 2017)

Auto-Context Convolutional Neural Network (Auto-Net) for Brain Extraction in Magnetic Resonance Imaging. - Seyed Sadegh Mohseni Salehi; Deniz Erdogmus; Ali Gholipour (IEEE Trans. Medical Imaging, 2017)

Real-time automatic fetal brain extraction in fetal MRI by deep learning. - Seyed Sadegh Mohseni Salehi; Seyed Raein Hashemi; Clemente Velasco-Annis; Abdelhakim Ouaalam; Judy A. Estroff; Deniz Erdogmus; Simon K. Warfield; Ali Gholipour (ISBI, 2018)

Real-time Deep Registration With Geodesic Loss. - Seyed Sadegh Mohseni Salehi; Shadab Khan; Deniz Erdogmus; Ali Gholipour (CoRR, 2018)

Tversky as a Loss Function for Highly Unbalanced Image Segmentation using 3D Fully Convolutional Deep Networks. - Seyed Raein Hashemi; Seyed Sadegh Mohseni Salehi; Deniz Erdogmus; Sanjay P. Prabhu; Simon K. Warfield; Ali Gholipour (CoRR, 2018)

Nonuniform Variational Network: Deep Learning for Accelerated Nonuniform MR Image Reconstruction. - Jo Schlemper; Seyed Sadegh Mohseni Salehi; Prantik Kundu; Carole Lazarus; Hadrien Dyvorne; Daniel Rueckert; Michal Sofka (MICCAI (3), 2019)

Asymmetric Loss Functions and Deep Densely-Connected Networks for Highly-Imbalanced Medical Image Segmentation: Application to Multiple Sclerosis Lesion Detection. - Seyed Raein Hashemi; Seyed Sadegh Mohseni Salehi; Deniz Erdogmus; Sanjay P. Prabhu; Simon K. Warfield; Ali Gholipour (IEEE Access, 2019)

Real-Time Deep Pose Estimation With Geodesic Loss for Image-to-Template Rigid Registration. - Seyed Sadegh Mohseni Salehi; Shadab Khan; Deniz Erdogmus; Ali Gholipour (IEEE Trans. Medical Imaging, 2019)

Deep Predictive Motion Tracking in Magnetic Resonance Imaging: Application to Fetal Imaging. - Ayush Singh; Seyed Sadegh Mohseni Salehi; Ali Gholipour (IEEE Trans. Medical Imaging, 2020)

ContraReg: Contrastive Learning of Multi-modality Unsupervised Deformable Image Registration. - Neel Dey; Jo Schlemper; Seyed Sadegh Mohseni Salehi; Bo Zhou 009; Guido Gerig; Michal Sofka (MICCAI (6), 2022)

Dual-domain self-supervised learning for accelerated non-Cartesian MRI reconstruction. - Bo Zhou 009; Jo Schlemper; Neel Dey; Seyed Sadegh Mohseni Salehi; Kevin N. Sheth; Chi Liu 001; James S. Duncan; Michal Sofka (Medical Image Anal., 2022)

DSFormer: A Dual-domain Self-supervised Transformer for Accelerated Multi-contrast MRI Reconstruction. - Bo Zhou 009; Neel Dey; Jo Schlemper; Seyed Sadegh Mohseni Salehi; Chi Liu 001; James S. Duncan; Michal Sofka (WACV, 2023)