Multi-phase liver tumor segmentation with spatial aggregation and uncertain region inpainting Y Zhang, C Peng, L Peng, H Huang, R Tong, L Lin, J Li, YW Chen, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 36 | 2021 |
Classification and quantification of emphysema using a multi-scale residual network L Peng, L Lin, H Hu, H Li, Q Chen, X Ling, D Wang, X Han, Y Iwamoto, ... IEEE journal of biomedical and health informatics 23 (6), 2526-2536, 2019 | 29 | 2019 |
DeepRecS: from RECIST diameters to precise liver tumor segmentation Y Zhang, C Peng, L Peng, Y Xu, L Lin, R Tong, Z Peng, X Mao, H Hu, ... IEEE Journal of Biomedical and Health Informatics 26 (2), 614-625, 2021 | 16 | 2021 |
Joint weber-based rotation invariant uniform local ternary pattern for classification of pulmonary emphysema in CT images L Peng, L Lin, H Hu, X Ling, D Wang, X Han, YW Chen 2017 IEEE International Conference on Image Processing (ICIP), 2050-2054, 2017 | 15 | 2017 |
Semi-supervised learning for semantic segmentation of emphysema with partial annotations L Peng, L Lin, H Hu, Y Zhang, H Li, Y Iwamoto, XH Han, YW Chen IEEE Journal of Biomedical and Health Informatics 24 (8), 2327-2336, 2019 | 13 | 2019 |
Classification of pulmonary emphysema in CT images based on multi-scale deep convolutional neural networks L Peng, L Lin, H Hu, H Li, X Ling, D Wang, X Han, Y Iwamoto, YW Chen 2018 25th IEEE International Conference on Image Processing (ICIP), 3119-3123, 2018 | 11 | 2018 |
Longitudinal prediction of infant MR images with multi-contrast perceptual adversarial learning L Peng, L Lin, Y Lin, Y Chen, Z Mo, RM Vlasova, SH Kim, AC Evans, ... Frontiers in neuroscience 15, 653213, 2021 | 10 | 2021 |
Multi-modal Perceptual Adversarial Learning for Longitudinal Prediction of Infant MR Images L Peng, L Lin, Y Lin, Y Zhang, RM Vlasova, J Prieto, Y Chen, G Gerig, ... Medical Ultrasound, and Preterm, Perinatal and Paediatric Image Analysis …, 2020 | 2 | 2020 |
Multi-scale deep convolutional neural networks for emphysema classification and quantification L Peng, L Lin, H Hu, Q Zhang, H Li, Q Chen, D Wang, XH Han, Y Iwamoto, ... Deep Learning in Healthcare: Paradigms and Applications, 149-164, 2020 | 2 | 2020 |
Multi-scale Residual Network with Two Channels of Raw CT Image and Its Differential Excitation Component for Emphysema Classification L Peng, L Lin, H Hu, H Li, Q Chen, D Wang, XH Han, Y Iwamoto, ... Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical …, 2018 | 2 | 2018 |
Multi-scale Deep Convolutional Neural Networks for Emphysema Classification L Peng, L Lin, H Hu, Q Zhang, H Li, Q Chen, D Wang, XH Han, Y Iwamoto, ... Deep Learning in Healthcare: Paradigms and Applications 171, 149, 2019 | | 2019 |