Xiaoxiao Li

University of British Columbia — Canada

Computer Science · Physical Sciences

27h-index3.3kcitations140works4.62yr avg
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Research Topics

Privacy-Preserving Technologies in Data(33), Functional Brain Connectivity Studies(25), Advanced Graph Neural Networks(17), AI in cancer detection(13), Radiomics and Machine Learning in Medical Imaging(13)

Publications140 total

Endometriosis pain index: development of a model to predict poor pain-related quality of life after endometriosis surgery through machine learning analysis of registry data
Pain·2026Open Access
The Progesterone Challenge Test as a Functional Biomarker of Endometrial Cancer Risk: Results from a Prospective Feasibility Study
Cancer Prevention Research·2026
Serous Ovarian Cancer Following Opportunistic Bilateral Salpingectomy
JAMA Network Open·2026Open Access
Substratification of mismatch repair deficient endometrial cancers based on mechanism of MMR loss can provide prognostic and predictive refinement
Gynecologic Oncology·2026Open Access
Re-Evaluating the Progesterone Challenge Test as a Physiologic Marker of Endometrial Cancer Risk: A Systematic Review and Meta-Analysis
Diagnostics·2026Open Access
Re-Evaluating the Progesterone Challenge Test as a Physiologic Marker of Endometrial Cancer Risk : A Systematic Review and Meta-Analysis
Open Collections·2026Open Access
Evaluation and improvement of algorithmic fairness for COVID-19 severity classification using Explainable Artificial Intelligence-based bias mitigation
JAMIA Open·2025Open Access
Guest Editorial: Special Issue on Foundation Models in Medical Imaging
IEEE Journal of Biomedical and Health Informatics·2025
Remaining useful life (RUL) analysis of repairable multi-state components based on Markov process
IET conference proceedings.·2025
Practical Guidance for Training Machine Learning Models in Metabolomics and Mass Spectrometry Research
Analytical Chemistry·2025
Segmenting Vessels Encapsulating Tumor Clusters via Fine-Grained Visual Prompt
Lecture notes in computer science·2025
Decentralized Model Selection for Test-Time Adaptation in Heterogeneous Connected Systems
ACM Transactions on the Web·2025· 1 citedOpen Access
The <i>b</i>-Symbol Hamming Weight Spectra of Quaternary Kerdock Codes and Related Codes
IEEE Transactions on Information Theory·2025
Cross-attention and Self-attention for Audio-visual Speaker Diarization in MISP-Meeting Challenge
arXiv (Cornell University)·2025Open Access
Corrigendum to “LESS: Label-efficient multi-scale learning for cytological whole slide image screening” [Medical Image Analysis 94 (2024): 103109]
Medical Image Analysis·2025
Exposome-Scale Investigation of Cl-/Br-Containing Chemicals Using High-Resolution Mass Spectrometry, Multistage Machine Learning, and Cloud Computing
Analytical Chemistry·2025· 6 citedOpen Access
pFedES: Generalized Proxy Feature Extractor Sharing for Model Heterogeneous Personalized Federated Learning
Proceedings of the AAAI Conference on Artificial Intelligence·2025· 1 citedOpen Access
Advances and Open Challenges in Federated Foundation Models
IEEE Communications Surveys & Tutorials·2025· 20 cited
Adaptive Voxel-Weighted Loss Using L1 Norms in Deep Neural Networks for Detection and Segmentation of Prostate Cancer Lesions in PET/CT Images
arXiv (Cornell University)·2025Open Access
Correction to: Medical Image Computing and Computer Assisted Intervention – MICCAI 2024 Workshops
Lecture notes in computer science·2025Open Access
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Frequent Co-authors

Nicha C. Dvornek(19), James S. Duncan(18), Pamela Ventola(14), Juntang Zhuang(13), Lawrence H. Staib(6), Qi Dou(4), Xiaofeng Zhu(4), Yuan Zhou(4), Yuan Zhou(3), Muhan Zhang(3), Yufeng Gu(3), Meirui Jiang(3), Liang Peng(3), Ziyuan Yang(3), Yingyu Chen(3), Siyuan Gao(2), Dustin Scheinost(2), Michael Kamp(2), Nan Wang(2), Carl Yang(2)