Development of Computer-Aided Diagnostic (CADx) System for Distinguishing Neoplastic from Nonneoplastic Lesions in CT Colonography (CTC): Toward CTC beyond Detection. - Kenji Suzuki 001; Mohammadamin Zarshenas; Junchi Liu; Yonghui Fan; Nazanin Makkinejad; Paul Forti; Abraham H. Dachman (SMC, 2015)

Fast depth estimation using spatio-temporal prediction for stereo-based pedestrian detection. - Amin Zarshenas; Maral Mesmakhosroshahi; Joohee Kim (VCIP, 2015)

Binary coordinate ascent: An efficient optimization technique for feature subset selection for machine learning. - Amin Zarshenas; Kenji Suzuki 001 (Knowl. Based Syst., 2016)

Neural Network Convolution (NNC) for Converting Ultra-Low-Dose to "Virtual" High-Dose CT Images. - Kenji Suzuki 001; Junchi Liu; Amin Zarshenas; Toru Higaki; Wataru Fukumoto; Kazuo Awai (MLMI@MICCAI, 2017)

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 001 (IWBI, 2018)

Reduction in training time of a deep learning model in detection of lesions in CT. - Nazanin Makkinejad; Nima Tajbakhsh; Amin Zarshenas; Ashfaq Khokhar 001; Kenji Suzuki 001 (Computer-Aided Diagnosis, 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 001 (Image Processing, 2018)

Mixture of Deep-Learning Experts for Separation of Bones from Soft Tissue in Chest Radiographs. - Amin Zarshenas; Junchi Liu; Paul Forti; Kenji Suzuki 001 (SMC, 2018)

Deep Neural Network Convolution for Natural Image Denoising. - Amin Zarshenas; Kenji Suzuki 001 (SMC, 2018)