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Seyed Sadegh Mohseni Salehi
Seyed Sadegh Mohseni Salehi
Segmentation
Computer science
Artificial intelligence
Pattern recognition
Artificial neural network
4
Papers
74
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Asymmetric Loss Functions and Deep Densely Connected Networks for Highly Imbalanced Medical Image Segmentation: Application to Multiple Sclerosis Lesion Detection.
2018
arXiv: Computer Vision and Pattern Recognition
Seyed Raein Hashemi
Seyed Sadegh Mohseni Salehi
Deniz Erdogmus
Sanjay P. Prabhu
Simon K. Warfield
Ali Gholipour
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Real-Time Automatic Fetal Brain Extraction in Fetal MRI by Deep Learning
2017
arXiv: Computer Vision and Pattern Recognition
Seyed Sadegh Mohseni Salehi
Seyed Raein Hashemi
Clemente Velasco-Annis
Abdelhakim Ouaalam
Judy A. Estroff
Deniz Erdogmus
Simon K. Warfield
Ali Gholipour
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Tversky loss function for image segmentation using 3D fully convolutional deep networks
2017
arXiv: Computer Vision and Pattern Recognition
Seyed Sadegh Mohseni Salehi
Deniz Erdogmus
Ali Gholipour
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Citations (73)
Tversky loss function for image segmentation using 3D fully convolutional deep networks
2017
arXiv: Computer Vision and Pattern Recognition
Seyed Sadegh Mohseni Salehi
Deniz Erdogmus
Ali Gholipour
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