| Semisupervised hyperspectral image classification based on generative adversarial networks Y Zhan, D Hu, Y Wang, X Yu IEEE Geoscience and Remote Sensing Letters 15 (2), 212-216, 2017 | 282 | 2017 |
| 敏感性分析综述 蔡毅， 邢岩， 胡丹 北京师范大学学报: 自然科学版 44 (1), 9-16, 2008 | 155 | 2008 |
| Blind source separation: theory and applications X Yu, D Hu, J Xu John Wiley & Sons, 2013 | 135 | 2013 |
| Hyperspectral band selection based on deep convolutional neural network and distance density Y Zhan, D Hu, H Xing, X Yu IEEE Geoscience and Remote Sensing Letters 14 (12), 2365-2369, 2017 | 91 | 2017 |
| A toolbox for brain network construction and classification (BrainNetClass) Z Zhou, X Chen, Y Zhang, D Hu, L Qiao, R Yu, PT Yap, G Pan, H Zhang, ... Human brain mapping 41 (10), 2808-2826, 2020 | 67 | 2020 |
| 遥感图像配准技术综述 余先川， 吕中华， 胡丹 Optics and Precision Engineering 21 (11), 2960-2972, 2013 | 61 | 2013 |
| Review of remote sensing image registration techniques X Yu, Z Lv, D Hu Optics and Precision Engineering 21 (11), 2960-2972, 2013 | 56 | 2013 |
| Disentangled-multimodal adversarial autoencoder: Application to infant age prediction with incomplete multimodal neuroimages D Hu, H Zhang, Z Wu, F Wang, L Wang, JK Smith, W Lin, G Li, D Shen IEEE Transactions on Medical Imaging 39 (12), 4137-4149, 2020 | 55 | 2020 |
| Lifespan influences on mid-to late-life cognitive function in a Chinese birth cohort ZX Zhang, BL Plassman, Q Xu, GEP Zahner, B Wu, MY Gai, HB Wen, ... Neurology 73 (3), 186-194, 2009 | 46 | 2009 |
| Brain connectivity based graph convolutional networks and its application to infant age prediction Y Li, X Zhang, J Nie, G Zhang, R Fang, X Xu, Z Wu, D Hu, L Wang, ... IEEE transactions on medical imaging 41 (10), 2764-2776, 2022 | 44 | 2022 |
| Prediction of 7‐year's conversion from subjective cognitive decline to mild cognitive impairment L Yue, D Hu, H Zhang, J Wen, Y Wu, W Li, L Sun, X Li, J Wang, G Li, ... Human Brain Mapping 42 (1), 192-203, 2021 | 44 | 2021 |
| 盲源分离理论与应用 余先川， 胡丹 北京: 科学出版社 35, 42-51, 2011 | 38 | 2011 |
| Land cover classification of remote sensing imagery based on interval-valued data fuzzy c-means algorithm XC Yu, H He, D Hu, W Zhou Science China Earth Sciences 57, 1306-1313, 2014 | 37 | 2014 |
| A new blind image source separation algorithm based on feedback sparse component analysis Y Xian-Chuan, X Jin-Dong, H Dan, X Hai-Hua Signal processing 93 (1), 288-296, 2013 | 34 | 2013 |
| A 4D infant brain volumetric atlas based on the UNC/UMN baby connectome project (BCP) cohort L Chen, Z Wu, D Hu, Y Wang, F Zhao, T Zhong, W Lin, L Wang, G Li Neuroimage 253, 119097, 2022 | 30 | 2022 |
| Existence of functional connectome fingerprint during infancy and its stability over months D Hu, F Wang, H Zhang, Z Wu, Z Zhou, G Li, L Wang, W Lin, G Li, ... Journal of Neuroscience 42 (3), 377-389, 2022 | 30 | 2022 |
| Center attention network for hyperspectral image classification Z Zhao, D Hu, H Wang, X Yu IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2021 | 26 | 2021 |
| Hierarchical rough-to-fine model for infant age prediction based on cortical features D Hu, Z Wu, W Lin, G Li, D Shen IEEE journal of biomedical and health informatics 24 (1), 214-225, 2019 | 23 | 2019 |
| Remote sensing clustering analysis based on object-based interval modeling H He, T Liang, D Hu, X Yu Computers & Geosciences 94, 131-139, 2016 | 22 | 2016 |
| A new training algorithm for HHFNN based on Gaussian membership function for approximation S Feng, H Li, D Hu Neurocomputing 72 (7-9), 1631-1638, 2009 | 22 | 2009 |
Gang LiAssociate Professor, Department of Radiology, University of North Carolina at Chapel HillVerified email at med.unc.edu