Seyed Sadegh Mohseni Salehi
Orcid: 0000-0001-6085-3580
According to our database1,
Seyed Sadegh Mohseni Salehi
authored at least 17 papers
between 2016 and 2023.
Collaborative distances:
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Bibliography
2023
DSFormer: A Dual-domain Self-supervised Transformer for Accelerated Multi-contrast MRI Reconstruction.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023
2022
Dual-domain self-supervised learning for accelerated non-Cartesian MRI reconstruction.
Medical Image Anal., 2022
ContraReg: Contrastive Learning of Multi-modality Unsupervised Deformable Image Registration.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
2020
Deep Predictive Motion Tracking in Magnetic Resonance Imaging: Application to Fetal Imaging.
IEEE Trans. Medical Imaging, 2020
2019
Real-Time Deep Pose Estimation With Geodesic Loss for Image-to-Template Rigid Registration.
IEEE Trans. Medical Imaging, 2019
Asymmetric Loss Functions and Deep Densely-Connected Networks for Highly-Imbalanced Medical Image Segmentation: Application to Multiple Sclerosis Lesion Detection.
IEEE Access, 2019
Nonuniform Variational Network: Deep Learning for Accelerated Nonuniform MR Image Reconstruction.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
2018
Tversky as a Loss Function for Highly Unbalanced Image Segmentation using 3D Fully Convolutional Deep Networks.
CoRR, 2018
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
2017
Auto-Context Convolutional Neural Network (Auto-Net) for Brain Extraction in Magnetic Resonance Imaging.
IEEE Trans. Medical Imaging, 2017
Temporal slice registration and robust diffusion-tensor reconstruction for improved fetal brain structural connectivity analysis.
NeuroImage, 2017
Auto-context Convolutional Neural Network for Geometry-Independent Brain Extraction in Magnetic Resonance Imaging.
CoRR, 2017
Tversky Loss Function for Image Segmentation Using 3D Fully Convolutional Deep Networks.
Proceedings of the Machine Learning in Medical Imaging - 8th International Workshop, 2017
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017
2016
IEEE J. Sel. Top. Signal Process., 2016