| Gray matter network associated with risk for Alzheimer's disease in young to middle-aged adults GE Alexander, KL Bergfield, K Chen, EM Reiman, KD Hanson, L Lin, ... Neurobiology of aging 33 (12), 2723-2732, 2012 | 95 | 2012 |
| Multi-model and multi-slice ensemble learning architecture based on 2D convolutional neural networks for Alzheimer's disease diagnosis W Kang, L Lin, B Zhang, X Shen, S Wu, ... Computers in Biology and Medicine 136, 104678, 2021 | 80 | 2021 |
| Predicting healthy older adult's brain age based on structural connectivity networks using artificial neural networks L Lin, C Jin, Z Fu, B Zhang, G Bin, S Wu Computer methods and programs in biomedicine 125, 8-17, 2016 | 73 | 2016 |
| Lung nodule classification in CT images using 3D DenseNet G Zhang, L Lin, J Wang Journal of Physics: Conference Series 1827 (1), 012155, 2021 | 34 | 2021 |
| Application of semantic segmentation based on convolutional neural network in medical images Y Wu, L Lin, J Wang, S Wu Sheng Wu Yi Xue Gong Cheng Xue Za Zhi= Journal of Biomedical Engineering …, 2020 | 26 | 2020 |
| A review of brain atrophy subtypes definition and analysis for Alzheimer’s disease heterogeneity studies B Zhang, L Lin, S Wu Journal of Alzheimer's Disease 80 (4), 1339-1352, 2021 | 25 | 2021 |
| Mouse brain magnetic resonance microscopy: Applications in a lzheimer disease L Lin, Z Fu, X Xu, S Wu Microscopy research and technique 78 (5), 416-424, 2015 | 24 | 2015 |
| Age-related regional network covariance of magnetic resonance imaging gray matter in the rat GE Alexander, L Lin, ES Yoshimaru, PK Bharadwaj, KL Bergfield, ... Frontiers in aging neuroscience 12, 267, 2020 | 21 | 2020 |
| Multiple subtypes of Alzheimer’s disease base on brain atrophy pattern B Zhang, L Lin, S Wu, ZHMA Al-Masqari Brain sciences 11 (2), 278, 2021 | 20 | 2021 |
| Utilizing transfer learning of pre-trained AlexNet and relevance vector machine for regression for predicting healthy older adult’s brain age from structural MRI L Lin, G Zhang, J Wang, M Tian, S Wu Multimedia Tools and Applications 80 (16), 24719-24735, 2021 | 19 | 2021 |
| Construction of mouse brain MRI templates using SPM 99 L Lin, K Chen, GE Alexander, J He, J Valla, JP Galons, ... IFAC Proceedings Volumes 36 (15), 113-118, 2003 | 15 | 2003 |
| MRI template and atlas toolbox for the C57BL/6J mouse brain L Lin, K Chen, J Valla, J He, EM Reiman, J Galons, B Hauss-Wegrzyniak, ... Conference Proceedings. 2nd International IEEE EMBS Conference on Neural …, 2005 | 13 | 2005 |
| Small-world indices via network efficiency for brain networks from diffusion MRI L Lin, Z Fu, C Jin, M Tian, S Wu Experimental Brain Research 236, 2677-2689, 2018 | 12 | 2018 |
| Intensity inhomogeneity correction using N3 on mouse brain magnetic resonance microscopy L Lin, S Wu, G Bin, C Yang Journal of Neuroimaging 23 (4), 502-507, 2013 | 12 | 2013 |
| A template‐based automatic skull‐stripping approach for mouse brain MR microscopy L Lin, S Wu, C Yang Microscopy Research and Technique 76 (1), 7-11, 2013 | 11 | 2013 |
| A review of the application of three-dimensional convolutional neural networks for the diagnosis of Alzheimer’s disease using neuroimaging X Xu, L Lin, S Sun, S Wu Reviews in the Neurosciences 34 (6), 649-670, 2023 | 10 | 2023 |
| Comparison of machine learning models for brain age prediction using six imaging modalities on middle-aged and older adults M Xiong, L Lin, Y Jin, W Kang, S Wu, S Sun Sensors 23 (7), 3622, 2023 | 10 | 2023 |
| Automatic lung segmentation in CT images using dilated convolution based weighted fully convolutional network Y Wu, L Lin Journal of Physics: Conference Series 1646 (1), 012032, 2020 | 10 | 2020 |
| Research progress on computed tomography image detection and classification of pulmonary nodule based on deep learning J Wang, L Lin, S Zhao, X Wu, S Wu Sheng wu yi xue gong cheng xue za zhi= Journal of biomedical engineering …, 2019 | 10 | 2019 |
| Study on the application of deep learning in neuroimaging M Tian, L Lin, B Zhang, S Wu China Medical Devices 31 (12), 4-9, 2016 | 10 | 2016 |
