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Xiaoxiao Li
Xiaoxiao Li
Assistant Professor, University of British Columbia; Vector Institute; CIFAR AI Chair
Verified email at ece.ubc.ca - Homepage
Title
Cited by
Cited by
Year
Fedbn: Federated learning on non-iid features via local batch normalization
X Li, M Jiang, X Zhang, M Kamp, Q Dou
ICLR 2021, 2021
7072021
Refuge challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs
JI Orlando, H Fu, JB Breda, K Van Keer, DR Bathula, A Diaz-Pinto, ...
Medical image analysis 59, 101570, 2020
5512020
Braingnn: Interpretable brain graph neural network for fmri analysis
X Li, Y Zhou, N Dvornek, M Zhang, S Gao, J Zhuang, D Scheinost, ...
Medical Image Analysis 74, 102233, 2021
3882021
Multi-site fMRI analysis using privacy-preserving federated learning and domain adaptation: ABIDE results
X Li, Y Gu, N Dvornek, LH Staib, P Ventola, JS Duncan
Medical Image Analysis 65, 101765, 2020
3542020
Adaptive checkpoint adjoint method for gradient estimation in neural ode
J Zhuang, N Dvornek, X Li, S Tatikonda, X Papademetris, J Duncan
International Conference on Machine Learning, 11639-11649, 2020
1172020
Subgraph federated learning with missing neighbor generation
K Zhang, C Yang, X Li, L Sun, SM Yiu
Advances in Neural Information Processing Systems 34, 6671-6682, 2021
1142021
Graph neural network for interpreting task-fmri biomarkers
X Li, NC Dvornek, Y Zhou, J Zhuang, P Ventola, JS Duncan
Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019
1012019
2-channel convolutional 3D deep neural network (2CC3D) for fMRI analysis: ASD classification and feature learning
X Li, NC Dvornek, X Papademetris, J Zhuang, LH Staib, P Ventola, ...
2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018 …, 2018
802018
Brain biomarker interpretation in ASD using deep learning and fMRI
X Li, NC Dvornek, J Zhuang, P Ventola, JS Duncan
Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018
792018
Fl-ntk: A neural tangent kernel-based framework for federated learning analysis
B Huang, X Li, Z Song, X Yang
International Conference on Machine Learning, 4423-4434, 2021
75*2021
Guidelines and evaluation for clinical explainable AI on medical image analysis
W Jin, X Li, M Fatehi, G Hamarneh
Medical Image Analysis, 2022
662022
Pooling regularized graph neural network for fmri biomarker analysis
X Li, Y Zhou, NC Dvornek, M Zhang, J Zhuang, P Ventola, JS Duncan
Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020
662020
Interpretable graph neural networks for connectome-based brain disorder analysis
H Cui, W Dai, Y Zhu, X Li, L He, C Yang
International Conference on Medical Image Computing and Computer-Assisted …, 2022
592022
FedNI: Federated Graph Learning with Network Inpainting for Population-Based Disease Prediction
L Peng, N Wang, N Dvornek, X Zhu, X Li
IEEE Transaction on Medical Imaging, 2022
572022
Interpretable multimodality embedding of cerebral cortex using attention graph network for identifying bipolar disorder
H Yang, X Li, Y Wu, S Li, S Lu, JS Duncan, JC Gee, S Gu
Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019
542019
Evaluating Explainable AI on a Multi-Modal Medical Imaging Task: Can Existing Algorithms Fulfill Clinical Requirements?
W Jin, X Li, G Hamarneh
AAAI 2022, 2022
492022
Federated Learning from Only Unlabeled Data with Class-Conditional-Sharing Clients
N Lu, Z Wang, X Li, G Niu, Q Dou, M Sugiyama
ICLR 2022, 2022
412022
Lesion attributes segmentation for melanoma detection with multi-task u-net
EZ Chen, X Dong, X Li, H Jiang, R Rong, J Wu
2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019 …, 2019
412019
GRLC: Graph representation learning with constraints
L Peng, Y Mo, J Xu, J Shen, X Shi, X Li, HT Shen, X Zhu
IEEE transactions on neural networks and learning systems, 2023
332023
Estimating and improving fairness with adversarial learning
X Li, Z Cui, Y Wu, L Gu, T Harada
arXiv preprint arXiv:2103.04243, 2021
312021
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