Mohammad Arbabshirani

According to our database1, Mohammad Arbabshirani authored at least 17 papers between 2011 and 2019.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2019
Automatic Classification of Radiological Report for Intracranial Hemorrhage.
Proceedings of the 13th IEEE International Conference on Semantic Computing, 2019

2018
Advanced machine learning in action: identification of intracranial hemorrhage on computed tomography scans of the head with clinical workflow integration.
npj Digit. Medicine, 2018

Deep 3D convolution neural network for CT brain hemorrhage classification.
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018

2017
Single subject prediction of brain disorders in neuroimaging: Promises and pitfalls.
NeuroImage, 2017

Accurate segmentation of lung fields on chest radiographs using deep convolutional networks.
Proceedings of the Medical Imaging 2017: Image Processing, 2017

Unsupervised quantification of abdominal fat from CT images using Greedy Snakes.
Proceedings of the Medical Imaging 2017: Image Processing, 2017

Automatic estimation of heart boundaries and cardiothoracic ratio from chest x-ray images.
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017

2016
Classification of schizophrenia and bipolar patients using static and dynamic resting-state fMRI brain connectivity.
NeuroImage, 2016

Sex and Age Effects of Functional Connectivity in Early Adulthood.
Brain Connect., 2016

2015
Classification of schizophrenia and bipolar patients using static and time-varying resting-state FMRI brain connectivity.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

2014
Impact of autocorrelation on functional connectivity.
NeuroImage, 2014

Sharing privacy-sensitive access to neuroimaging and genetics data: a review and preliminary validation.
Frontiers Neuroinformatics, 2014

The tenth annual MLSP competition: Schizophrenia classification challenge.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2014

Identification of patterns of gray matter abnormalities in schizophrenia using source-based morphometry and bagging.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

Detecting volumetric changes in fMRI connectivity networks in schizophrenia patients.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

Accurate classification of schizophrenia patients based on novel resting-state fMRI features.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

2011
Functional network connectivity during rest and task: Comparison of healthy controls and schizophrenic patients.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011


  Loading...