Nastaran Emaminejad
Research Assistant at University of California, Los Angeles
SPIE Involvement:
Author
Area of Expertise:
Medical Imaging , Computer aided diagnosis , Medical Physics , Quantitative image analysis , Machine Learning
Profile Summary

Nastaran Emaminejad is a PhD candidate in Medical Physics at University of California at Los Angeles under supervision of Dr. Michael Mc-Nitt Gray and Dr. Matthew Brown. Her research interest focuses on quantitative medical imaging. She has been involved in developing and working with common computer aided diagnosis tools by using of machine learning and computer vision in providing precision medicine.
Publications (6)

PROCEEDINGS ARTICLE | March 2, 2018
Proc. SPIE. 10575, Medical Imaging 2018: Computer-Aided Diagnosis
KEYWORDS: Computer aided diagnosis and therapy, Cancer, Tumors, Denoising, Image acquisition, Feature extraction, Lung, Computed tomography, Reconstruction algorithms, Lung cancer

PROCEEDINGS ARTICLE | February 27, 2018
Proc. SPIE. 10575, Medical Imaging 2018: Computer-Aided Diagnosis
KEYWORDS: Computer aided diagnosis and therapy, Cancer, Image segmentation, Feature extraction, Lung, Quantitative analysis, Image quality, Computed tomography, Lung cancer

PROCEEDINGS ARTICLE | March 27, 2017
Proc. SPIE. 10134, Medical Imaging 2017: Computer-Aided Diagnosis
KEYWORDS: Oncology, Chest, Computer aided diagnosis and therapy, Data modeling, Diagnostics, Lung, Image quality, Solids, Computed tomography, Computer aided design, Radiation effects, CAD systems, Solid modeling

PROCEEDINGS ARTICLE | March 24, 2016
Proc. SPIE. 9785, Medical Imaging 2016: Computer-Aided Diagnosis
KEYWORDS: Computer aided diagnosis and therapy, Cancer, Tumors, Surgery, Image segmentation, Image analysis, Lung, Quantitative analysis, Machine learning, Computed tomography, Lung cancer, Computer-aided diagnosis, New and emerging technologies

PROCEEDINGS ARTICLE | March 20, 2015
Proc. SPIE. 9414, Medical Imaging 2015: Computer-Aided Diagnosis
KEYWORDS: Computer aided diagnosis and therapy, Cancer, Tumors, Surgery, Image segmentation, Image analysis, Lung, Computed tomography, Genetics, Lung cancer

PROCEEDINGS ARTICLE | March 11, 2014
Proc. SPIE. 9037, Medical Imaging 2014: Image Perception, Observer Performance, and Technology Assessment
KEYWORDS: Proteins, Cancer, Image segmentation, Image processing, Lung, Computed tomography, Genetics, Lung cancer, Emphysema, Chronic obstructive pulmonary disease

Showing 5 of 6 publications
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