| Multi-resolution statistical analysis of brain connectivity graphs in preclinical Alzheimer's disease WH Kim, N Adluru, MK Chung, OC Okonkwo, SC Johnson, BB Bendlin, ... NeuroImage 118, 103-117, 2015 | 53 | 2015 |
| Wavelet based multi-scale shape features on arbitrary surfaces for cortical thickness discrimination W Kim, D Pachauri, C Hatt, M Chung, S Johnson, V Singh Advances in neural information processing systems 25, 2012 | 52 | 2012 |
| Association of longitudinal white matter degeneration and cerebrospinal fluid biomarkers of neurodegeneration, inflammation and Alzheimer’s disease in late-middle-aged adults AM Racine, AP Merluzzi, N Adluru, D Norton, RL Koscik, LR Clark, ... Brain imaging and behavior 13 (1), 41-52, 2019 | 47 | 2019 |
| Devil's on the edges: Selective quad attention for scene graph generation D Jung, S Kim, WH Kim, M Cho Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 45 | 2023 |
| Multi-resolutional shape features via non-Euclidean wavelets: Applications to statistical analysis of cortical thickness WH Kim, V Singh, MK Chung, C Hinrichs, D Pachauri, OC Okonkwo, ... NeuroImage 93, 107-123, 2014 | 37 | 2014 |
| Cerebrospinal fluid biomarkers of neurofibrillary tangles and synaptic dysfunction are associated with longitudinal decline in white matter connectivity: a multi-resolution … WH Kim, AM Racine, N Adluru, SJ Hwang, K Blennow, H Zetterberg, ... NeuroImage: Clinical 21, 101586, 2019 | 28 | 2019 |
| Multi-resolution shape analysis via non-euclidean wavelets: Applications to mesh segmentation and surface alignment problems WH Kim, MK Chung, V Singh Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2013 | 27 | 2013 |
| Multi-resolutional brain network filtering and analysis via wavelets on non-Euclidean space WH Kim, N Adluru, MK Chung, S Charchut, JJ GadElkarim, L Altshuler, ... International Conference on Medical Image Computing and Computer-Assisted …, 2013 | 22 | 2013 |
| Disentangled sequential graph autoencoder for preclinical Alzheimer’s disease characterizations from adni study F Yang, R Meng, H Cho, G Wu, WH Kim Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 20 | 2021 |
| Toward unbiased facial expression recognition in the wild via cross-dataset adaptation B Han, WH Yun, JH Yoo, WH Kim IEEE Access 8, 159172-159181, 2020 | 20 | 2020 |
| Learning multi-resolution graph edge embedding for discovering brain network dysfunction in neurological disorders X Ma, G Wu, SJ Hwang, WH Kim Information Processing in Medical Imaging: 27th International Conference …, 2021 | 17* | 2021 |
| BrainNET: Inference of brain network topology using machine learning GK Murugesan, C Ganesh, S Nalawade, EM Davenport, B Wagner, ... Brain connectivity 10 (8), 422-435, 2020 | 15 | 2020 |
| Classification of the urinary metabolome using machine learning and potential applications to diagnosing interstitial cystitis F Tong, M Shahid, P Jin, S Jung, WH Kim, J Kim Bladder 7 (2), e43, 2020 | 14 | 2020 |
| Conditional recurrent flow: conditional generation of longitudinal samples with applications to neuroimaging SJ Hwang, Z Tao, WH Kim, V Singh Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 13 | 2019 |
| Associations between positron emission tomography amyloid pathology and diffusion tensor imaging brain connectivity in pre-clinical Alzheimer's disease SJ Hwang, N Adluru, WH Kim, SC Johnson, BB Bendlin, V Singh Brain connectivity 9 (2), 162-173, 2019 | 12 | 2019 |
| Convolving directed graph edges via Hodge Laplacian for brain network analysis J Park, Y Hwang, M Kim, MK Chung, G Wu, WH Kim International Conference on Medical Image Computing and Computer-Assisted …, 2023 | 11 | 2023 |
| Anti-adversarial consistency regularization for data augmentation: Applications to robust medical image segmentation H Cho, Y Han, WH Kim International Conference on Medical Image Computing and Computer-Assisted …, 2023 | 9 | 2023 |
| Statistical Inference Models for Image Datasets With Systematic Variations WH Kim, BB Bendlin, MK Chung, SC Johnson, V Singh Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015 | 9 | 2015 |
| Decoupled marked temporal point process using neural ordinary differential equations Y Song, D Lee, R Meng, WH Kim arXiv preprint arXiv:2406.06149, 2024 | 8 | 2024 |
| Performing group difference testing on graph structured data from GANs: Analysis and applications in neuroimaging TQ Dinh, Y Xiong, Z Huang, T Vo, A Mishra, WH Kim, SN Ravi, V Singh IEEE transactions on pattern analysis and machine intelligence 44 (2), 877-889, 2020 | 8 | 2020 |
Vikas SinghUniversity of Wisconsin MadisonVerified email at biostat.wisc.edu
