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Seyed Raein Hashemi
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2010 – 2019
- 2019
- [j1]Seyed Raein Hashemi
, Seyed Sadegh Mohseni Salehi, Deniz Erdogmus, Sanjay P. Prabhu
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) - [c3]Parvez Ahmad
Hybrid Labels for Brain Tumor Segmentation. BrainLes@MICCAI (2) 2019: 158-166 - [c2]Seyed Raein Hashemi, Sanjay P. Prabhu, Simon K. Warfield, Ali Gholipour:
Exclusive Independent Probability Estimation using Deep 3D Fully Convolutional DenseNets: Application to IsoIntense Infant Brain MRI Segmentation. MIDL 2019: 260-272 - 2018
- [c1]Seyed Sadegh Mohseni Salehi, Seyed Raein Hashemi
Real-time automatic fetal brain extraction in fetal MRI by deep learning. ISBI 2018: 720-724 - [i3]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) - [i2]Seyed Raein Hashemi
Exclusive Independent Probability Estimation using Deep 3D Fully Convolutional DenseNets for IsoIntense Infant Brain MRI Segmentation. CoRR abs/1809.08168 (2018) - 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)
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