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2020 – today
- 2024
[j14]Yikai Gao
, Aiping Liu, Heng Cui, Ruobing Qian, Xun Chen:
An interpretable and generalizable deep learning model for iEEG-based seizure prediction using prototype learning and contrastive learning. Comput. Biol. Medicine 183: 109257 (2024)- [j13]Jiale Li, Aiping Liu, Yu Li, Wei Wei, Ruobing Qian, Qingguo Xie, Bensheng Qiu, Xun Chen:
Rethinking Deep Supervision for Brain Tumor Segmentation. IEEE Trans. Artif. Intell. 5(5): 2103-2116 (2024) - [j12]Ziye Zhang, Aiping Liu, Yikai Gao, Xinrui Cui, Ruobing Qian, Xun Chen:
Distilling Invariant Representations With Domain Adversarial Learning for Cross-Subject Children Seizure Prediction. IEEE Trans. Cogn. Dev. Syst. 16(1): 202-211 (2024) - [j11]Heng Cui, Chang Li, Aiping Liu, Ruobing Qian, Xun Chen:
A Dual-Branch Interactive Fusion Network to Remove Artifacts From Single-Channel EEG. IEEE Trans. Instrum. Meas. 73: 1-12 (2024) - [j10]Zhiwei Deng, Chang Li, Rencheng Song, Xiang Liu, Ruobing Qian, Xun Chen:
Centroid-Guided Domain Incremental Learning for EEG-Based Seizure Prediction. IEEE Trans. Instrum. Meas. 73: 1-13 (2024) - 2023
- [j9]Zhiwei Deng, Chang Li, Rencheng Song, Xiang Liu, Ruobing Qian, Xun Chen:
EEG-based seizure prediction via hybrid vision transformer and data uncertainty learning. Eng. Appl. Artif. Intell. 123(Part C): 106401 (2023) - [j8]Chang Li, Yuchang Zhao, Rencheng Song, Xiang Liu, Ruobing Qian, Xun Chen:
Patient-Specific Seizure Prediction From Electroencephalogram Signal via Multichannel Feedback Capsule Network. IEEE Trans. Cogn. Dev. Syst. 15(3): 1360-1370 (2023) - [j7]Deng Liang, Aiping Liu, Yikai Gao, Chang Li, Ruobing Qian, Xun Chen:
Semi-Supervised Domain-Adaptive Seizure Prediction via Feature Alignment and Consistency Regularization. IEEE Trans. Instrum. Meas. 72: 1-12 (2023) - [j6]Xiaowen Zhang, Aiping Liu, Pan Jiang, Ruobing Qian, Wei Wei, Xun Chen:
MSAIF-Net: A Multistage Spatial Attention-Based Invertible Fusion Network for MR Images. IEEE Trans. Instrum. Meas. 72: 1-13 (2023) - [i6]Kai Shu, Yuchang Zhao, Le Wu, Aiping Liu, Ruobing Qian, Xun Chen:
Data Augmentation for Seizure Prediction with Generative Diffusion Model. CoRR abs/2306.08256 (2023) - 2022
- [j5]Yikai Gao, Aiping Liu, Xinrui Cui, Ruobing Qian, Xun Chen:
A general sample-weighted framework for epileptic seizure prediction. Comput. Biol. Medicine 150: 106169 (2022) - [j4]Xun Chen, Chang Li, Aiping Liu, Martin J. McKeown, Ruobing Qian, Z. Jane Wang:
Toward Open-World Electroencephalogram Decoding Via Deep Learning: A comprehensive survey. IEEE Signal Process. Mag. 39(2): 117-134 (2022) - [j3]Yuheng Feng, Qingze Liu, Aiping Liu, Ruobing Qian, Xun Chen:
A Novel SSA-CCA Framework forMuscle Artifact Removal from Ambulatory EEG. Virtual Real. Intell. Hardw. 4(1): 1-21 (2022) - [c4]Collins Opoku-Baah, Ian M. Erkelens, Ruobing Qian, Robin Sharma:
A Binocular Model to Evaluate User Experience in Ophthalmic and AR Prescription Lens Designs. ISMAR Adjunct 2022: 628-633 - [i5]Shiqi Xu, Wenhui Liu, Xi Yang, Joakim Jönsson, Ruobing Qian, Paul McKee, Kanghyun Kim, Pavan Chandra Konda, Kevin C. Zhou, Lucas Kreiß, Haoqian Wang, Edouard Berrocal, Scott Huettel, Roarke Horstmeyer:
Transient motion classification through turbid volumes via parallelized single-photon detection and deep contrastive embedding. CoRR abs/2204.01733 (2022) - 2021
- [c3]Kevin C. Zhou, Colin L. V. Cooke, Jaehee Park, Ruobing Qian, Roarke Horstmeyer, Joseph A. Izatt, Sina Farsiu:
Mesoscopic Photogrammetry With an Unstabilized Phone Camera. CVPR 2021: 7535-7545 - [i4]Shiqi Xu, Xi Yang, Wenhui Liu, Joakim Jönsson, Ruobing Qian, Pavan Chandra Konda, Kevin C. Zhou, Qionghai Dai, Haoqian Wang, Edouard Berrocal, Roarke Horstmeyer:
Imaging dynamics beneath turbid media via parallelized single-photon detection. CoRR abs/2107.01422 (2021) - [i3]Xun Chen, Chang Li, Aiping Liu, Martin J. McKeown, Ruobing Qian, Z. Jane Wang:
Toward Open-World Electroencephalogram Decoding Via Deep Learning: A Comprehensive Survey. CoRR abs/2112.06654 (2021) - 2020
- [j2]Brenton Keller, Mark Draelos, Kevin Zhou, Ruobing Qian, Anthony N. Kuo, George Konidaris, Kris Hauser, Joseph A. Izatt:
Optical Coherence Tomography-Guided Robotic Ophthalmic Microsurgery via Reinforcement Learning from Demonstration. IEEE Trans. Robotics 36(4): 1207-1218 (2020) - [c2]Yuan Tian, Mark Draelos, Gao Tang, Ruobing Qian, Anthony N. Kuo, Joseph A. Izatt, Kris Hauser:
Toward Autonomous Robotic Micro-Suturing using Optical Coherence Tomography Calibration and Path Planning. ICRA 2020: 5516-5522 - [i2]Yuan Tian, Mark Draelos, Gao Tang, Ruobing Qian, Anthony N. Kuo, Joseph A. Izatt, Kris Hauser:
Toward Autonomous Robotic Micro-Suturing using Optical Coherence Tomography Calibration and Path Planning. CoRR abs/2002.00530 (2020) - [i1]Kevin C. Zhou, Colin L. V. Cooke, Jaehee Park, Ruobing Qian, Roarke Horstmeyer, Joseph A. Izatt, Sina Farsiu:
Mesoscopic photogrammetry with an unstabilized phone camera. CoRR abs/2012.06044 (2020)
2010 – 2019
- 2019
- [j1]Juan Cheng, Luchang Li, Chang Li, Yu Liu, Aiping Liu, Ruobing Qian, Xun Chen:
Remove Diverse Artifacts Simultaneously From a Single-Channel EEG Based on SSA and ICA: A Semi-Simulated Study. IEEE Access 7: 60276-60289 (2019) - [c1]Mark Draelos, Pablo Ortiz, Ruobing Qian, Brenton Keller, Kris Hauser, Anthony N. Kuo, Joseph A. Izatt:
Automatic Optical Coherence Tomography Imaging of Stationary and Moving Eyes with a Robotically-Aligned Scanner. ICRA 2019: 8897-8903
Coauthor Index
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