Samaneh Kazemifar

An Efficient Adaptive Segmentation Algorithm on EEG Signals to Discriminate between Subject with Epilepsy and Normal Control

Reza Boostani, Samaneh Kazemifar, 2013 .

Fully automated organ segmentation in male pelvic CT images

Steve B. Jiang, Dan Nguyen, Steve Jiang, 2018, Physics in medicine and biology.

Use of Time-Frequency Transforms and Kernel PCA to Classify Epileptic Patients from Control Subjects

Reza Boostani, Samaneh Kazemifar, R. Boostani, 2010, ICIC.

Segmentation of the prostate and organs at risk in male pelvic CT images using deep learning

Steve B. Jiang, Dan Nguyen, Sarah McGuire, 2018, Biomedical Physics & Engineering Express.

Novel multi-atlas automatic segmentation of medial temporal lobe volume change in Alzheimer's disease

Robert Bartha, Michael Borrie, Samaneh Kazemifar, 2013, Alzheimer's & Dementia.

MRI-only brain radiotherapy: Assessing the dosimetric accuracy of synthetic CT images generated using a deep learning approach.

Steve B. Jiang, Dan Nguyen, Sarah McGuire, 2019, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

An automated and robust algorithm to measure changes in medial temporal lobe volume in early Alzheimer's disease

Robert Bartha, Michael Borrie, Samaneh Kazemifar, 2012, Alzheimer's & Dementia.

Accurate real time localization tracking in a clinical environment using Bluetooth Low Energy and deep learning

Jing Wang, Steve B. Jiang, Weiguo Lu, 2017, PloS one.

Synthesizing CT images from MR images with deep learning: model generalization for different datasets through transfer learning

Steve B. Jiang, Yaoqin Xie, Ti Bai, 2021, Biomedical physics & engineering express.

Spontaneous low frequency BOLD signal variations from resting-state fMRI are decreased in Alzheimer disease

Ravi S. Menon, Andrea Soddu, Robert Bartha, 2017, PloS one.

Automated algorithm to measure changes in medial temporal lobe volume in Alzheimer disease

Robert Bartha, Samaneh Kazemifar, Nagalingam Rajakumar, 2014, Journal of Neuroscience Methods.