Amin Zarshenas

According to our database, Amin Zarshenas authored at least 9 papers between 2015 and 2018.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2018

Deep Neural Network Convolution for Natural Image Denoising.

Amin Zarshenas, Kenji Suzuki

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

Mixture of Deep-Learning Experts for Separation of Bones from Soft Tissue in Chest Radiographs.

Amin Zarshenas, Junchi Liu, Paul Forti, Kenji Suzuki

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

Radiation dose reduction in digital breast tomosynthesis (DBT) by means of deep-learning-based supervised image processing.

Junchi Liu, Amin Zarshenas, Ammar Qadir, Zheng Wei, Limin Yang, Laurie Lee Fajardo, Kenji Suzuki

Proceedings of the Medical Imaging 2018: Image Processing, 2018

Reduction in training time of a deep learning model in detection of lesions in CT.

Nazanin Makkinejad, Nima Tajbakhsh, Amin Zarshenas, Ashfaq A. Khokhar, Kenji Suzuki

Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018

Radiation dose reduction in digital breast tomosynthesis (DBT) by means of neural network convolution (NNC) deep learning.

Junchi Liu, Amin Zarshenas, Syed Ammar Qadir, Limin Yang, Laurie Lee Fajardo, Kenji Suzuki

Proceedings of the 14th International Workshop on Breast Imaging, 2018

2017

Neural Network Convolution (NNC) for Converting Ultra-Low-Dose to "Virtual" High-Dose CT Images.

Kenji Suzuki, Junchi Liu, Amin Zarshenas, Toru Higaki, Wataru Fukumoto, Kazuo Awai

Proceedings of the Machine Learning in Medical Imaging - 8th International Workshop, 2017

2016

Binary coordinate ascent: An efficient optimization technique for feature subset selection for machine learning.

Amin Zarshenas, Kenji Suzuki

Knowl. Based Syst., 2016

2015

Fast depth estimation using spatio-temporal prediction for stereo-based pedestrian detection.

Amin Zarshenas, Maral Mesmakhosroshahi, Joohee Kim

Proceedings of the 2015 Visual Communications and Image Processing, 2015

Development of Computer-Aided Diagnostic (CADx) System for Distinguishing Neoplastic from Nonneoplastic Lesions in CT Colonography (CTC): Toward CTC beyond Detection.

Kenji Suzuki, Mohammadamin Zarshenas, Junchi Liu, Yonghui Fan, Nazanin Makkinejad, Paul Forti, Abraham H. Dachman

Proceedings of the 2015 IEEE International Conference on Systems, 2015