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2010 – 2019
- 2018
[c8]Junchi Liu, Amin Zarshenas, Syed Ammar Qadir, Limin Yang
, Laurie Lee Fajardo, Kenji Suzuki:
Radiation dose reduction in digital breast tomosynthesis (DBT) by means of neural network convolution (NNC) deep learning. IWBI 2018: 1071814- [c7]Nazanin Makkinejad, Nima Tajbakhsh, Amin Zarshenas, Ashfaq Khokhar, Kenji Suzuki:
Reduction in training time of a deep learning model in detection of lesions in CT. Computer-Aided Diagnosis 2018: 105753V - [c6]Junchi Liu, Amin Zarshenas, Ammar Qadir, Zheng Wei, Limin Yang, Laurie Lee Fajardo, Kenji Suzuki:
Radiation dose reduction in digital breast tomosynthesis (DBT) by means of deep-learning-based supervised image processing. Image Processing 2018: 105740F - [c5]Amin Zarshenas, Junchi Liu, Paul Forti, Kenji Suzuki:
Mixture of Deep-Learning Experts for Separation of Bones from Soft Tissue in Chest Radiographs. SMC 2018: 1321-1326 - [c4]Amin Zarshenas, Kenji Suzuki:
Deep Neural Network Convolution for Natural Image Denoising. SMC 2018: 2534-2539 - 2017
- [c3]Kenji Suzuki, Junchi Liu, Amin Zarshenas, Toru Higaki, Wataru Fukumoto, Kazuo Awai:
Neural Network Convolution (NNC) for Converting Ultra-Low-Dose to "Virtual" High-Dose CT Images. MLMI@MICCAI 2017: 334-343 - 2016
- [j1]Amin Zarshenas, Kenji Suzuki:
Binary coordinate ascent: An efficient optimization technique for feature subset selection for machine learning. Knowl. Based Syst. 110: 191-201 (2016) - 2015
- [c2]Kenji Suzuki, Mohammadamin Zarshenas, Junchi Liu, Yonghui Fan, Nazanin Makkinejad, Paul Forti, Abraham H. Dachman:
Development of Computer-Aided Diagnostic (CADx) System for Distinguishing Neoplastic from Nonneoplastic Lesions in CT Colonography (CTC): Toward CTC beyond Detection. SMC 2015: 2262-2266 - [c1]Amin Zarshenas, Maral Mesmakhosroshahi, Joohee Kim:
Fast depth estimation using spatio-temporal prediction for stereo-based pedestrian detection. VCIP 2015: 1-4 - no results
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