Seyed Raein Hashemi

Publication Activity (10 Years)

Years Active: 2017-2019
Publications (10 Years): 7

Top Topics

Clinical Studies

Magnetic Resonance Images

Mri Segmentation

Boosting Framework

Top Venues

BrainLes@MICCAI (2)

Publications

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)
Parvez Ahmad, Saqib Qamar, Seyed Raein Hashemi, Linlin Shen
Hybrid Labels for Brain Tumor Segmentation. BrainLes@MICCAI (2) (2019)
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)
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 Raein Hashemi, Sanjay P. Prabhu, Simon K. Warfield, Ali Gholipour
Exclusive Independent Probability Estimation using Deep 3D Fully Convolutional DenseNets for IsoIntense Infant Brain MRI Segmentation. 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)