| A robust deep model for improved classification of AD/MCI patients F Li, L Tran, KH Thung, S Ji, D Shen, J Li IEEE journal of biomedical and health informatics 19 (5), 1610-1616, 2015 | 351 | 2015 |
| A survey of image quality measures KH Thung, P Raveendran 2009 international conference for technical postgraduates (TECHPOS), 1-4, 2009 | 308 | 2009 |
| A brief review on multi-task learning KH Thung, CY Wee Multimedia Tools and Applications 77 (22), 29705-29725, 2018 | 272 | 2018 |
| Effective feature learning and fusion of multimodality data using stage‐wise deep neural network for dementia diagnosis T Zhou, KH Thung, X Zhu, D Shen Human brain mapping 40 (3), 1001-1016, 2019 | 260 | 2019 |
| Benchmark on automatic six-month-old infant brain segmentation algorithms: the iSeg-2017 challenge L Wang, D Nie, G Li, É Puybareau, J Dolz, Q Zhang, F Wang, J Xia, Z Wu, ... IEEE transactions on medical imaging 38 (9), 2219-2230, 2019 | 205 | 2019 |
| Latent representation learning for Alzheimer’s disease diagnosis with incomplete multi-modality neuroimaging and genetic data T Zhou, M Liu, KH Thung, D Shen IEEE transactions on medical imaging 38 (10), 2411-2422, 2019 | 195 | 2019 |
| Longitudinal clinical score prediction in Alzheimer's disease with soft-split sparse regression based random forest L Huang, Y Jin, Y Gao, KH Thung, D Shen, ... Neurobiology of aging 46, 180-191, 2016 | 135 | 2016 |
| Identification of infants at high‐risk for autism spectrum disorder using multiparameter multiscale white matter connectivity networks Y Jin, CY Wee, F Shi, KH Thung, D Ni, PT Yap, D Shen Human brain mapping 36 (12), 4880-4896, 2015 | 109 | 2015 |
| Neurodegenerative disease diagnosis using incomplete multi-modality data via matrix shrinkage and completion KH Thung, CY Wee, PT Yap, D Shen, ... NeuroImage 91, 386-400, 2014 | 107 | 2014 |
| Conversion and time-to-conversion predictions of mild cognitive impairment using low-rank affinity pursuit denoising and matrix completion KH Thung, PT Yap, E Adeli, SW Lee, D Shen, ... Medical image analysis 45, 68-82, 2018 | 101 | 2018 |
| Semi-supervised discriminative classification robust to sample-outliers and feature-noises E Adeli, KH Thung, L An, G Wu, F Shi, T Wang, D Shen IEEE transactions on pattern analysis and machine intelligence 41 (2), 515-522, 2018 | 101 | 2018 |
| Multi-modal latent space inducing ensemble SVM classifier for early dementia diagnosis with neuroimaging data T Zhou, KH Thung, M Liu, F Shi, C Zhang, D Shen Medical image analysis 60, 101630, 2020 | 99 | 2020 |
| Multi-stage diagnosis of Alzheimer’s disease with incomplete multimodal data via multi-task deep learning KH Thung, PT Yap, D Shen International Workshop on Deep Learning in Medical Image Analysis, 160-168, 2017 | 81 | 2017 |
| Content-based image quality metric using similarity measure of moment vectors KH Thung, R Paramesran, CL Lim Pattern Recognition 45 (6), 2193-2204, 2012 | 67 | 2012 |
| Robust deep learning for improved classification of AD/MCI patients F Li, L Tran, KH Thung, S Ji, D Shen, J Li Machine Learning in Medical Imaging: 5th International Workshop, MLMI 2014 …, 2014 | 59 | 2014 |
| Multi-view classification for identification of Alzheimer’s disease X Zhu, HI Suk, Y Zhu, KH Thung, G Wu, D Shen Machine Learning in Medical Imaging: 6th International Workshop, MLMI 2015 …, 2015 | 55 | 2015 |
| Brain-wide genome-wide association study for Alzheimer's disease via joint projection learning and sparse regression model T Zhou, KH Thung, M Liu, D Shen IEEE Transactions on Biomedical Engineering 66 (1), 165-175, 2018 | 54 | 2018 |
| Identification of progressive mild cognitive impairment patients using incomplete longitudinal MRI scans KH Thung, CY Wee, PT Yap, D Shen Brain Structure and Function 221, 3979-3995, 2016 | 49 | 2016 |
| One-shot generative adversarial learning for MRI segmentation of craniomaxillofacial bony structures X Chen, C Lian, L Wang, H Deng, SH Fung, D Nie, KH Thung, PT Yap, ... IEEE transactions on medical imaging 39 (3), 787-796, 2019 | 44 | 2019 |
| Selection of a subset of EEG channels using PCA to classify alcoholics and non-alcoholics KM Ong, KH Thung, CY Wee, R Paramesran 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference, 4195-4198, 2006 | 43 | 2006 |
Dinggang ShenProf. and Founding Dean, School of BME, ShanghaiTech University; Co-CEO, United Imaging Intelligenceshanghaitech.edu.cn의 이메일 확인됨