Regularization design in penalized maximum-likelihood image reconstruction for lesion detection in 3D PET L Yang, J Zhou, A Ferrero, RD Badawi, J Qi Physics in Medicine & Biology 59 (2), 403, 2013 | 30 | 2013 |
Noise to noise ensemble learning for PET image denoising C Chan, J Zhou, L Yang, W Qi, E Asma 2019 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC …, 2019 | 20 | 2019 |
Application of NIR spectroscopy to multiple gas components identification R Qi, X Yin, L Yang, Z Du, J Liu, K Xu Spectroscopy and Spectral Analysis 28 (12), 2855-2858, 2008 | 11* | 2008 |
Noise adaptive deep convolutional neural network for whole-body pet denoising C Chan, J Zhou, L Yang, W Qi, J Kolthammer, E Asma 2018 IEEE Nuclear Science Symposium and Medical Imaging Conference …, 2018 | 9 | 2018 |
Theoretical analysis of penalized maximum-likelihood Patlak parametric image reconstruction in dynamic PET for lesion detection L Yang, G Wang, J Qi IEEE transactions on medical imaging 35 (4), 947-956, 2015 | 7 | 2015 |
Regularization design for breast lesion detection in penalized maximum likelihood image reconstruction L Yang, J Zhou, J Qi 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI), 626-629, 2012 | 7 | 2012 |
Feature oriented deep convolutional neural network for PET image denoising C Chan, J Zhou, L Yang, W Qi, J Kolthammer, E Asma 2018 IEEE Nuclear Science Symposium and Medical Imaging Conference …, 2018 | 6 | 2018 |
Evaluation of penalty design in penalized maximum-likelihood image reconstruction for lesion detection L Yang, A Ferrero, RJ Hagge, RD Badawi, J Qi Journal of medical imaging 1 (3), 035501-035501, 2014 | 5 | 2014 |
Evaluation of penalized maximum-likelihood PET image reconstruction for ROI quantification L Yang, J Zhou, E Asma, W Wang 2016 IEEE Nuclear Science Symposium, Medical Imaging Conference And Room …, 2016 | 2 | 2016 |
Theoretical analysis of lesion detectability in penalized maximum-likelihood patlak parametric image reconstruction using dynamic PET L Yang, G Wang, J Qi 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI), 1188-1191, 2015 | 2 | 2015 |
Method and system for PET detector efficiency normalization W Qi, Y Qiang, A Evren, X Li, L Yang, P Peng, J Kolthammer US Patent 11,249,206, 2022 | 1 | 2022 |
A Robust Implementation of Non-linear Post-filters on PET Images W Qi, M Miyahara, L Yang, CJ Chan, E Asma Journal of Nuclear Medicine 62 (supplement 1), 1524-1524, 2021 | 1 | 2021 |
Assessment of Spatial Resolution in PET Images Denoised with Deep Convolutional Neural Networks L Yang, W Qi, C Chan, E Asma 2020 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC …, 2020 | 1 | 2020 |
Estimating ensemble bias using Bayesian convolutional neural network C Chan, L Yang, E Asma 2020 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC …, 2020 | 1 | 2020 |
PET crystal efficiency normalization using a stationary line source W Qi, Y Qiang, L Yang, E Asma Journal of Nuclear Medicine 61 (supplement 1), 1517-1517, 2020 | 1 | 2020 |
Noise and Signal Characteristics of Deep Learning-Based Denoising for a SiPM-based PET/CT Scanner C Chan, W Qi, L Yang, J Kolthammer, E Asma Journal of Nuclear Medicine 61 (supplement 1), 436-436, 2020 | 1 | 2020 |
Penalized Maximum-Likelihood PET Image Reconstruction for Lesion Detection L Yang University of California, Davis, 2015 | 1 | 2015 |
Biomedical L Yang, J Zhou, J Qi | 1 | |
Convolutional neural network for dynamic pet frame clustering C Chan, L Yang, X Li, W Qi, A Evren, J Kolthammer US Patent App. 17/878,413, 2024 | | 2024 |
Method and system for PET detector efficiency normalization W Qi, Y Qiang, A Evren, X Li, L Yang, P Peng, J Kolthammer US Patent 11,835,669, 2023 | | 2023 |