Machine learning prediction of incidence of Alzheimer’s disease using large-scale administrative health data JH Park, HE Cho, JH Kim, MM Wall, Y Stern, H Lim, S Yoo, HS Kim, J Cha NPJ digital medicine 3 (1), 46, 2020 | 89 | 2020 |
Advanced grasp planning for handover operation between human and robot: Three handover methods in esteem etiquettes using dual arms and hands of home-service robot J Kim Proc. Int. Conf. on Autonomous Robots and Agents December, Palmerston North …, 2004 | 60 | 2004 |
Diagnosis and prognosis of Alzheimer's disease using brain morphometry and white matter connectomes Y Wang, C Xu, JH Park, S Lee, Y Stern, S Yoo, JH Kim, HS Kim, J Cha, ... NeuroImage: Clinical 23, 101859, 2019 | 32 | 2019 |
C2A: Crowd consensus analytics for virtual colonoscopy JH Park, S Nadeem, S Mirhosseini, A Kaufman 2016 IEEE Conference on Visual Analytics Science and Technology (VAST), 21-30, 2016 | 18 | 2016 |
Graphoto: Aesthetically pleasing charts for casual information visualization JH Park, A Kaufman, K Mueller IEEE computer graphics and applications 38 (6), 67-82, 2018 | 14 | 2018 |
Efficient and Effective Graph Convolution Networks S Liu, JH Park, S Yoo SIAM International Conference on Data Mining, 388-396, 2020 | 13 | 2020 |
Crowdsourcing for identification of polyp-free segments in virtual colonoscopy videos JH Park, S Mirhosseini, S Nadeem, J Marino, A Kaufman, K Baker, ... Medical Imaging 2017: Imaging Informatics for Healthcare, Research, and …, 2017 | 11 | 2017 |
CMed: Crowd analytics for medical imaging data JH Park, S Nadeem, S Boorboor, J Marino, A Kaufman IEEE transactions on visualization and computer graphics 27 (6), 2869-2880, 2019 | 10 | 2019 |
GeoBrick: exploration of spatiotemporal data JH Park, S Nadeem, A Kaufman The Visual Computer 35, 191-204, 2019 | 10 | 2019 |
Crowdsourcing lung nodules detection and annotation S Boorboor, S Nadeem, JH Park, K Baker, A Kaufman Medical Imaging 2018: Imaging Informatics for Healthcare, Research, and …, 2018 | 10 | 2018 |
A Bayesian Deep Learning Approach to Near-Term Climate Prediction X Luo, BT Nadiga, Y Ren, JH Park, W Xu, S Yoo Journal of Advances in Modeling Earth Systems 14 (10), 2022 | 9 | 2022 |
Transfer function-guided saliency-aware compression for transmitting volumetric data JH Park, I Gutenko, AE Kaufman IEEE transactions on multimedia 22 (9), 2262-2277, 2017 | 9 | 2017 |
Remote volume rendering pipeline for mHealth applications I Gutenko, K Petkov, C Papadopoulos, X Zhao, JH Park, A Kaufman, ... Medical Imaging 2014: PACS and Imaging Informatics: Next Generation and …, 2014 | 9 | 2014 |
Machine learning based implicit solvent model for aqueous-solution alanine dipeptide molecular dynamics simulations S Yao, R Van, X Pan, JH Park, Y Mao, J Pu, Y Mei, Y Shao RSC Advances 13 (7), 4565-4577, 2023 | 7 | 2023 |
Crowd-assisted polyp annotation of virtual colonoscopy videos JH Park, S Nadeem, J Marino, K Baker, M Barish, A Kaufman Medical Imaging 2018: Imaging Informatics for Healthcare, Research, and …, 2018 | 7 | 2018 |
Survival analysis of localized prostate cancer with deep learning X Dai, JH Park, S Yoo, N D’Imperio, BH McMahon, CT Rentsch, JP Tate, ... Scientific Reports 12 (1), 17821, 2022 | 6 | 2022 |
Electronic health records based prediction of future incidence of Alzheimer’s disease using machine learning JH Park, HE Cho, JH Kim, M Wall, Y Stern, H Lim, S Yoo, HS Kim, J Cha bioRxiv, 625582, 2019 | 6 | 2019 |
In situ compression artifact removal in scientific data using deep transfer learning and experience replay S Madireddy, JH Park, S Lee, P Balaprakash, S Yoo, W Liao, CD Hauck, ... Machine Learning: Science and Technology 2 (2), 025010, 2020 | 5 | 2020 |
Machine learning climate variability JH Park, S Yoo, B Nadiga Proceedings of the 33rd Conference on Neural Information Processing Systems …, 2019 | 4 | 2019 |
Buyers satisfaction in a virtual fitting room scenario based on realism of avatar Q Sun, S Mirhosseini, I Gutenko, JH Park, C Papadopoulos, B Laha, ... 2015 IEEE Symposium on 3D User Interfaces (3DUI), 183-184, 2015 | 4 | 2015 |