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

Amin Zarshenas Mohammadamin Zarshenas Junchi Liu Amin Zarshenas Syed Ammar Qadir Limin Yang Laurie Lee Fajardo Kenji Suzuki 0001 Radiation dose reduction in digital breast tomosynthesis (DBT) by means of neural network convolution (NNC) deep learning. 1071814 2018 IWBI https://doi.org/10.1117/12.2317789 conf/iwbi/2018 db/conf/iwbi/iwbi2018.html#LiuZQYFS18 Nazanin Makkinejad Nima Tajbakhsh Amin Zarshenas Ashfaq Khokhar 0001 Kenji Suzuki 0001 Reduction in training time of a deep learning model in detection of lesions in CT. 105753V 2018 Computer-Aided Diagnosis https://doi.org/10.1117/12.2293679 conf/micad/2018 db/conf/micad/micad2018.html#MakkinejadTZKS18 Junchi Liu Amin Zarshenas Ammar Qadir Zheng Wei Limin Yang Laurie Lee Fajardo Kenji Suzuki 0001 Radiation dose reduction in digital breast tomosynthesis (DBT) by means of deep-learning-based supervised image processing. 105740F 2018 Image Processing https://doi.org/10.1117/12.2293125 conf/miip/2018 db/conf/miip/miip2018.html#LiuZQWYFS18 Amin Zarshenas Junchi Liu Paul Forti Kenji Suzuki 0001 Mixture of Deep-Learning Experts for Separation of Bones from Soft Tissue in Chest Radiographs. 1321-1326 2018 SMC https://doi.org/10.1109/SMC.2018.00231 conf/smc/2018 db/conf/smc/smc2018.html#ZarshenasLFS18 Amin Zarshenas Kenji Suzuki 0001 Deep Neural Network Convolution for Natural Image Denoising. 2534-2539 2018 SMC https://doi.org/10.1109/SMC.2018.00434 conf/smc/2018 db/conf/smc/smc2018.html#ZarshenasS18 Kenji Suzuki 0001 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. 334-343 2017 MLMI@MICCAI https://doi.org/10.1007/978-3-319-67389-9_39 conf/miccai/2017mlmi db/conf/miccai/mlmi2017.html#SuzukiLZHFA17

Amin Zarshenas Kenji Suzuki 0001 Binary coordinate ascent: An efficient optimization technique for feature subset selection for machine learning. 191-201 2016 110 Knowl. Based Syst. https://doi.org/10.1016/j.knosys.2016.07.026 db/journals/kbs/kbs110.html#ZarshenasS16

Kenji Suzuki 0001 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. 2262-2266 2015 SMC https://doi.org/10.1109/SMC.2015.395 https://www.wikidata.org/entity/Q63368035 conf/smc/2015 db/conf/smc/smc2015.html#SuzukiZLFMFD15 Amin Zarshenas Maral Mesmakhosroshahi Joohee Kim Fast depth estimation using spatio-temporal prediction for stereo-based pedestrian detection. 1-4 2015 VCIP https://doi.org/10.1109/VCIP.2015.7457838 conf/vcip/2015 db/conf/vcip/vcip2015.html#ZarshenasMK15 Kazuo Awai Abraham H. Dachman Laurie Lee Fajardo Yonghui Fan Paul Forti Wataru Fukumoto Toru Higaki Ashfaq Khokhar 0001 Joohee Kim Junchi Liu Nazanin Makkinejad Maral Mesmakhosroshahi Ammar QadirSyed Ammar Qadir Kenji Suzuki 0001 Nima Tajbakhsh Limin Yang Wei ZhengZheng Wei