216 citations · 816 across the 46 of their papers we have counts for
6 papers · 1 filter
Real-Time Automatic Fetal Brain Extraction in Fetal MRI by Deep Learning
Seyed Sadegh Mohseni Salehi, Seyed Raein Hashemi, Clemente Velasco-Annis +5
Brain segmentation is a fundamental first step in neuroimage analysis. In the case of fetal MRI, it is particularly challenging and important due to the arbitrary orientation of th…
Tversky loss function for image segmentation using 3D fully convolutional deep networks
Seyed Sadegh Mohseni Salehi, Deniz Erdogmus, Ali Gholipour
Fully convolutional deep neural networks carry out excellent potential for fast and accurate image segmentation. One of the main challenges in training these networks is data imbal…
Subject-Specific Abnormal Region Detection in Traumatic Brain Injury Using Sparse Model Selection on High Dimensional Diffusion Data
Matineh Shaker, Deniz Erdogmus, Jennifer Dy +1
We present a method to estimate a multivariate Gaussian distribution of diffusion tensor features in a set of brain regions based on a small sample of healthy individuals, and use…
Context-Aware Recursive Bayesian Graph Traversal in BCIs
Seyed Sadegh Mohseni Salehi, Mohammad Moghadamfalahi, Hooman Nezamfar +2
Noninvasive brain computer interfaces (BCI), and more specifically Electroencephalography (EEG) based systems for intent detection need to compensate for the low signal to noise ra…
Decoding Complex Imagery Hand Gestures
Seyed Sadegh Mohseni Salehi, Mohammad Moghadamfalahi, Fernando Quivira +3
Brain computer interfaces (BCIs) offer individuals suffering from major disabilities an alternative method to interact with their environment. Sensorimotor rhythm (SMRs) based BCIs…
Auto-context Convolutional Neural Network (Auto-Net) for Brain Extraction in Magnetic Resonance Imaging
Seyed Sadegh Mohseni Salehi, Deniz Erdogmus, Ali Gholipour
Brain extraction or whole brain segmentation is an important first step in many of the neuroimage analysis pipelines. The accuracy and robustness of brain extraction, therefore, is…