Seyed Raein Hashemi

According to our database, Seyed Raein Hashemi authored at least 6 papers between 2018 and 2019.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

Exclusive Independent Probability Estimation using Deep 3D Fully Convolutional DenseNets: Application to IsoIntense Infant Brain MRI Segmentation.

Seyed Raein Hashemi, Sanjay P. Prabhu, Simon K. Warfield, Ali Gholipour

Proceedings of the International Conference on Medical Imaging with Deep Learning, 2019

Hybrid Labels for Brain Tumor Segmentation.

Parvez Ahmad, Saqib Qamar, Seyed Raein Hashemi, Linlin Shen

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2019

2018

Exclusive Independent Probability Estimation using Deep 3D Fully Convolutional DenseNets for IsoIntense Infant Brain MRI Segmentation.

Seyed Raein Hashemi, Sanjay P. Prabhu, Simon K. Warfield, 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

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

Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018