| Graph temporal ensembling based semi-supervised convolutional neural network with noisy labels for histopathology image analysis X Shi, H Su, F Xing, Y Liang, G Qu, L Yang Medical image analysis 60, 101624, 2020 | 50 | 2020 |
| Loss-based attention for interpreting image-level prediction of convolutional neural networks X Shi, F Xing, K Xu, P Chen, Y Liang, Z Lu, Z Guo IEEE Transactions on Image Processing 30, 1662-1675, 2020 | 28 | 2020 |
| Interactive thyroid whole slide image diagnostic system using deep representation P Chen, X Shi, Y Liang, Y Li, L Yang, PD Gader Computer methods and programs in biomedicine 195, 105630, 2020 | 25 | 2020 |
| STIR-Net: Deep Spatial-Temporal Image Restoration Net for Radiation Reduction in CT Perfusion Y Xiao, P Liu, Y Liang, S Stolte, P Sanelli, A Gupta, J Ivanidze, R Fang Frontiers in neurology 10, 647, 2019 | 23 | 2019 |
| Automatic whole slide pathology image diagnosis framework via unit stochastic selection and attention fusion P Chen, Y Liang, X Shi, L Yang, P Gader Neurocomputing 453, 312-325, 2021 | 21 | 2021 |
| Anchor-based self-ensembling for semi-supervised deep pairwise hashing X Shi, Z Guo, F Xing, Y Liang, L Yang International Journal of Computer Vision 128 (8), 2307-2324, 2020 | 15 | 2020 |
| Self-paced resistance learning against overfitting on noisy labels X Shi, Z Guo, K Li, Y Liang, X Zhu Pattern Recognition 134, 109080, 2023 | 10 | 2023 |
| Eddy current probe parameters optimization design based on orthogonal experiment TW Liang, QX He, Y Liang, DH Wang, B Chi Applied Mechanics and Materials 734, 118-124, 2015 | 4 | 2015 |
| Imaging the neural substrate of trigeminal neuralgia pain using deep learning Y Liang, Q Zhao, Z Hu, K Bo, S Meyyappan, JK Neubert, M Ding Frontiers in Human Neuroscience 17, 1144159, 2023 | 3 | 2023 |
| The calibration technical investigation on helicopter rotor standard blade L Yun, L Tingwei, J Jian 2013 Fifth International Conference on Measuring Technology and Mechatronics …, 2013 | 2 | 2013 |
| Causal Interactions in Brain Networks Predict Pain Levels in Trigeminal Neuralgia Y Liang, Q Zhao, JK Neubert, M Ding Brain Research Bulletin, 110947, 2024 | | 2024 |
| Decoding fMRI data with support vector machines and deep neural networks Y Liang, K Bo, S Meyyappan, M Ding Journal of Neuroscience Methods 401, 110004, 2024 | | 2024 |
| Assessing the Role of the Pulvinar in Feature versus Spatial Attention Control using Deep Neural Networks Y Liang, S Meyyappan, M Ding Journal of Vision 23 (9), 4701-4701, 2023 | | 2023 |
| Decoding fMRI Data: A Comparison Between Support Vector Machines and Deep Neural Networks Y Liang, K Bo, S Meyyappan, M Ding bioRxiv, 2023.05. 30.542882, 2023 | | 2023 |
| Decoding Visual Feature Versus Visual Spatial Attention Control with Deep Neural Networks S Meyyappan, M Ding Journal of Vision 22 (14), 3258-3258, 2022 | | 2022 |
| Role of the Pulvinar in Visual Affective Scene Processing L Cui, Y Liang, K Bo, A Keil, M Ding Journal of Vision 22 (14), 3415-3415, 2022 | | 2022 |
| Deep Spatial-Temporal Convolutional Neural Networks for Medical Image Restoration Y Xiao, S Stolte, P Liu, Y Liang, P Sanelli, A Gupta, J Ivanidze, R Fang Deep Learning and Convolutional Neural Networks for Medical Imaging and …, 2019 | | 2019 |
| Eddy Detector Using Multiple-Factor Parameters T Liang, Q He, Y Liang, D Wang, B Chi | | |
Lin YangWestlake UniversityVerified email at westlake.edu.cn
