| Representation learning of resting state fMRI with variational autoencoder JH Kim, Y Zhang, K Han, Z Wen, M Choi, Z Liu NeuroImage 241, 118423, 2021 | 54 | 2021 |
| Dealing with large-scale spatio-temporal patterns in imitative interaction between a robot and a human by using the predictive coding framework J Hwang, J Kim, A Ahmadi, M Choi, J Tani IEEE Transactions on Systems, Man, and Cybernetics: Systems 50 (5), 1918-1931, 2018 | 46 | 2018 |
| Predictive coding-based deep dynamic neural network for visuomotor learning J Hwang, J Kim, A Ahmadi, M Choi, J Tani 2017 Joint IEEE International Conference on Development and Learning and …, 2017 | 22 | 2017 |
| Predictive coding for dynamic visual processing: development of functional hierarchy in a multiple spatiotemporal scales RNN model M Choi, J Tani Neural computation 30 (1), 237-270, 2018 | 19 | 2018 |
| Explainable semantic space by grounding language to vision with cross-modal contrastive learning Y Zhang, M Choi, K Han, Z Liu Advances in Neural Information Processing Systems 34, 18513-18526, 2021 | 16 | 2021 |
| Achieving" synergy" in cognitive behavior of humanoids via deep learning of dynamic visuo-motor-attentional coordination J Hwang, M Jung, N Madapana, J Kim, M Choi, J Tani 2015 IEEE-RAS 15th International Conference on Humanoid Robots (Humanoids …, 2015 | 11 | 2015 |
| Predictive coding for dynamic vision: Development of functional hierarchy in a multiple spatio-temporal scales RNN model M Choi, J Tani 2017 International Joint Conference on Neural Networks (IJCNN), 657-664, 2017 | 8 | 2017 |
| Human Eyes–Inspired Recurrent Neural Networks Are More Robust Against Adversarial Noises M Choi, Y Zhang, K Han, X Wang, Z Liu Neural Computation 36 (9), 1713-1743, 2024 | 6 | 2024 |
| A Dual-Stream Neural Network Explains the Functional Segregation of Dorsal and Ventral Visual Pathways in Human Brains M Choi, K Han, X Wang, Y Zhang, Z Liu Advances in Neural Information Processing Systems, 2023 | 6 | 2023 |
| Diffeomorphic surface modeling for MRI-based characterization of gastric anatomy and motility X Wang, J Cao, K Han, M Choi, Y She, UM Scheven, R Avci, P Du, ... IEEE Transactions on Biomedical Engineering 70 (7), 2046-2057, 2023 | 6 | 2023 |
| Generating goal-directed visuomotor plans based on learning using a predictive coding-type deep visuomotor recurrent neural network model M Choi, T Matsumoto, M Jung, J Tani arXiv preprint arXiv:1803.02578, 2018 | 5 | 2018 |
| Surface mapping of gastric motor functions using MRI: a comparative study between humans and rats X Wang, F Alkaabi, M Choi, MR Di Natale, UM Scheven, DC Noll, ... American Journal of Physiology-Gastrointestinal and Liver Physiology 327 (3 …, 2024 | 2 | 2024 |
| Unfolding videos dynamics via taylor expansion S Chen, M Choi, Z Zhao, K Han, Q Qu, Z Liu arXiv preprint arXiv:2409.02371, 2024 | 1 | 2024 |
| Magnetic Resonance Imaging of Gastric Motility in Conscious Rats X Wang, F Alkaabi, A Cornett, M Choi, UM Scheven, MR Di Natale, ... bioRxiv, 2024.09. 09.612090, 2024 | | 2024 |
| Surface-based Characterization of Gastric Anatomy and Motility using Magnetic Resonance Imaging and Neural Ordinary Differential Equation X Wang, J Cao, K Han, M Choi, Y She, U Scheven, R Avci, P Du, ... bioRxiv, 2022.10. 17.512633, 2022 | | 2022 |
| SPARC: Deep Learning for Stomach Segmentation with Contrast Enhanced Magnetic Resonance Imaging of the Gastrointestinal Tract X Wang, KH Lu, M Choi, J Cao, D Jaffey, T Powley, Z Liu The FASEB Journal 34 (S1), 1-1, 2020 | | 2020 |
| Generating Goal-directed Visuomotor Plans with Supervised Learning using a Predictive Coding Deep Visuomotor Recurrent Neural Network T Matsumoto, M Choi, M Jung, J Tani 第 28 回 日本神経回路学会全国大会 講演論文集, 134-135, 2018 | | 2018 |
| Individualized representation learning of resting-state fMRI K Han, M Choi, X Wang, A Murguia, Z Liu | | |
| Tracking the moving stomach using MRI and neural ordinary differential equations X Wang, J Cao, K Han, M Choi, Y She, U Scheven, Z Liu | | |
| Mapping human gastric motility using contrast-enhanced MRI with a natural test meal X Wang, J Cao, K Han, M Choi, ACS Bazan, JF Nielsen, DC Noll, Z Liu | | |
Zhongming LiuUniversity of MichiganEmail verificata su umich.edu