Radiation dose reduction in digital breast tomosynthesis (DBT) by means of deep-learning-based supervised image processing J Liu, A Zarshenas, A Qadir, Z Wei, L Yang, L Fajardo, K Suzuki Medical Imaging 2018: Image Processing 10574 (105740F), 2018 | 45 | 2018 |
Spatial feature fusion convolutional network for liver and liver tumor segmentation from CT images T Liu, J Liu, Y Ma, J He, J Han, X Ding Med. Phys., 2020 | 44 | 2020 |
Motion artifacts reduction in brain MRI by means of a deep residual network with densely connected multi-resolution blocks (DRN-DCMB) J Liu, M Kocak, M Supanich, J Deng Magnetic Resonance Imaging 71, 69-79, 2020 | 41 | 2020 |
Deep learning with noise‐to‐noise training for denoising in SPECT myocardial perfusion imaging Junchi Liu, Yongyi Yang, Miles N. Wernick, P. Hendrik Pretorius, Michael A. King Medical Physics 48 (1), 156-168, 2020 | 35* | 2020 |
Separation of bones from soft tissue in chest radiographs: Anatomy‐specific orientation‐frequency‐specific deep neural network convolution A Zarshenas, J Liu, P Forti, K Suzuki Medical physics 46 (5), 2232-2242, 2019 | 25 | 2019 |
Neural network convolution (nnc) for converting ultra-low-dose to “virtual” high-dose ct images K Suzuki, J Liu, A Zarshenas, T Higaki, W Fukumoto, K Awai Machine Learning in Medical Imaging: 8th International Workshop, MLMI 2017 …, 2017 | 25 | 2017 |
Radiation dose reduction in digital breast tomosynthesis (DBT) by means of neural network convolution (NNC) deep learning J Liu, A Zarshenas, SA Qadir, L Yang, L Fajardo, K Suzuki Proc. of SPIE Vol 10718 (14th Intl Workshop on Breast Imaging), 1071814-1, 2018 | 8 | 2018 |
Improving detection accuracy of perfusion defect in standard dose SPECT-myocardial perfusion imaging by deep-learning denoising J Liu, Y Yang, MN Wernick, PH Pretorius, PJ Slomka, MA King Journal of Nuclear Cardiology 29 (5), 2340-2349, 2022 | 7 | 2022 |
Development of computer-aided diagnostic (CADx) system for distinguishing neoplastic from nonneoplastic lesions in CT Colonography (CTC): toward CTC beyond detection K Suzuki, M Zarshenas, J Liu, Y Fan, N Makkinejad, P Forti, AH Dachman 2015 IEEE International Conference on Systems, Man, and Cybernetics, 2262-2266, 2015 | 7 | 2015 |
Observer studies of image quality of denoising reduced-count cardiac single photon emission computed tomography myocardial perfusion imaging by three-dimensional Gaussian post … PH Pretorius, J Liu, KS Kalluri, Y Jiang, JA Leppo, ST Dahlberg, J Kikut, ... Journal of Nuclear Cardiology 30 (6), 2427-2437, 2023 | 3 | 2023 |
Image-based motion artifact reduction on liver dynamic contrast enhanced MRI Y Wu, J Liu, GM White, J Deng Physica Medica 105, 102509, 2023 | 3 | 2023 |
Improving diagnostic accuracy of reduced-dose studies with full-dose noise-to-noise learning in cardiac spect J Liu, Y Yang, MN Wernick, PH Pretorius, MA King 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI), 1173-1176, 2021 | 3 | 2021 |
Deep neural network convolution (NNC) for three-class classification of diffuse lung disease opacities in high-resolution CT (HRCT): consolidation, ground-glass opacity (GGO … N Hashimoto, K Suzuki, J Liu, Y Hirano, H MacMahon, S Kido Medical Imaging 2018: Computer-Aided Diagnosis 10575, 706-712, 2018 | 3 | 2018 |
Quantitative radiology: automated measurement of polyp volume in computed tomography colonography using Hessian matrix-based shape extraction and volume growing ML Epstein, PR Obara, Y Chen, J Liu, A Zarshenas, N Makkinejad, ... Quantitative Imaging in Medicine and Surgery 5 (5), 673, 2015 | 3 | 2015 |
Accounting For Inter-Subject Variations in Deep Learning for Reduced-Dose Studies in Cardiac SPECT J Liu, Y Yang, MN Wernick, PH Pretorius, MA King 2021 IEEE International Conference on Image Processing (ICIP), 2913-2917, 2021 | 2 | 2021 |
Dose-Blind Denoising With Deep Learning in Cardiac Spect J Liu, Y Yang, MN Wernick, PH Pretorius, MA King 2022 IEEE International Conference on Image Processing (ICIP), 1666-1670, 2022 | 1 | 2022 |
Assessment of defect detection in post-filtering and deep learning denoising strategies for reduced dose myocardial perfusion spect employing human and polar map observers PH Pretorius, J Liu, K Kalluri, MA King, B Auer, C Lindsay, A Konik, ... 2021 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC …, 2021 | 1 | 2021 |
Mixture of deep-learning experts for separation of bones from soft tissue in chest radiographs A Zarshenas, J Liu, P Forti, K Suzuki 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2018 | 1 | 2018 |
Mixed norm and norm regularized sparsity adaptive matching pursuit algorithm N Cai, Q Ye, J Wang, G Cen, J Liu, H Wang, B Wing-Kuen Signal, Image and Video Processing 12 (1), 133-140, 2018 | 1 | 2018 |
Artifact reduction in brain magnetic resonance imaging (MRI) by means of a dense residual network with K-space blending (DRN-KB) J Liu, J Deng Medical Imaging 2020: Image Processing 11313, 127-132, 2020 | | 2020 |