Auto-Context Convolutional Neural Network (Auto-Net) for Brain Extraction in Magnetic Resonance Imaging von Mohseni Salehi, Seyed Sadegh, Erdogmus, Deniz, Gholipour, Ali

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Real-Time Deep Pose Estimation With Geodesic Loss for Image-to-Template Rigid Registration von Mohseni Salehi, Seyed Sadegh, Khan, Shadab, Erdogmus, Deniz, Gholipour, Ali

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

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

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Tversky Loss Function for Image Segmentation Using 3D Fully Convolutional Deep Networks von Salehi, Seyed Sadegh Mohseni, Erdogmus, Deniz, Gholipour, Ali

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FlashType ^}: A Context-Aware c-VEP-Based BCI Typing Interface Using EEG Signals von Nezamfar, Hooman, Mohseni Salehi, Seyed Sadegh, Moghadamfalahi, Mohammad, Erdogmus, Deniz

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Deep Predictive Motion Tracking in Magnetic Resonance Imaging: Application to Fetal Imaging von Singh, Ayush, Salehi, Seyed Sadegh Mohseni, Gholipour, Ali

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Code-VEP vs. Eye Tracking: A Comparison Study von Nezamfar, Hooman, Mohseni Salehi, Seyed Sadegh, Higger, Matt, Erdogmus, Deniz

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Dual-domain self-supervised learning for accelerated non-Cartesian MRI reconstruction von Zhou, Bo, Schlemper, Jo, Dey, Neel, Mohseni Salehi, Seyed Sadegh, Sheth, Kevin, Liu, Chi, Duncan, James S., Sofka, Michal

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ContraReg: Contrastive Learning of Multi-modality Unsupervised Deformable Image Registration von Dey, Neel, Schlemper, Jo, Salehi, Seyed Sadegh Mohseni, Zhou, Bo, Gerig, Guido, Sofka, Michal

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Deep Predictive Motion Tracking in Magnetic Resonance Imaging: Application to Fetal Imaging von Singh, Ayush, Seyed Sadegh Mohseni Salehi, Gholipour, Ali

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

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Nonuniform Variational Network: Deep Learning for Accelerated Nonuniform MR Image Reconstruction von Schlemper, Jo, Salehi, Seyed Sadegh Mohseni, Kundu, Prantik, Lazarus, Carole, Dyvorne, Hadrien, Rueckert, Daniel, Sofka, Michal

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Real-Time Automatic Fetal Brain Extraction in Fetal MRI by Deep Learning von Seyed Sadegh Mohseni Salehi, Hashemi, Seyed Raein, Velasco-Annis, Clemente, Ouaalam, Abdelhakim, Estroff, Judy A, Erdogmus, Deniz, Warfield, Simon K, Gholipour, Ali

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ContraReg: Contrastive Learning of Multi-modality Unsupervised Deformable Image Registration von Dey, Neel, Schlemper, Jo, Salehi, Seyed Sadegh Mohseni, Zhou, Bo, Gerig, Guido, Sofka, Michal

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Self ensembling techniques for generating magnetic resonance images from spatial frequency data von Mohseni Salehi, Seyed Sadegh, Schlemper, Jo, Sofka, Michal

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Dual-Domain Self-Supervised Learning for Accelerated Non-Cartesian MRI Reconstruction von Zhou, Bo, Schlemper, Jo, Dey, Neel, Salehi, Seyed Sadegh Mohseni, Sheth, Kevin, Liu, Chi, Duncan, James S, Sofka, Michal

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SELF ENSEMBLING TECHNIQUES FOR GENERATING MAGNETIC RESONANCE IMAGES FROM SPATIAL FREQUENCY DATA von Mohseni Salehi, Seyed Sadegh, Schlemper, Jo, Sofka, Michal

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DSFormer: A Dual-domain Self-supervised Transformer for Accelerated Multi-contrast MRI Reconstruction von Zhou, Bo, Dey, Neel, Schlemper, Jo, Salehi, Seyed Sadegh Mohseni, Liu, Chi, Duncan, James S, Sofka, Michal

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Self ensembling techniques for generating magnetic resonance images from spatial frequency data von Mohseni Salehi, Seyed Sadegh, Schlemper, Jo, Sofka, Michal

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