Scholar
Xiaoling Hu
Google Scholar ID: 6MfwhCAAAAAJ
MGH/Harvard Medical School
Citations & Impact
Citations
938
H-index
13
i10-index
15
Publications
20
Co-authors
11
list available
Publications
Resume (English only)
Academic Achievements
- Selected Publications include: Scalable Segmentation for Ultra-High-Resolution Brain MR Images, Test-time Uncertainty Estimation for Medical Image Registration via Transformation Equivariance, Bézier Meets Diffusion: Robust Generation Across Domains for Medical Image Segmentation, RankByGene: Gene-Guided Histopathology Representation Learning Through Cross-Modal Ranking Consistency, Deep Statistic Shape Model for Myocardium Segmentation, MATCH: Multi-faceted Adaptive Topo-Consistency for Semi-Supervised Histopathology Segmentation, Learn2Synth: Learning Optimal Data Synthesis Using Hypergradients for Brain Image Segmentation, etc.
Research Experience
- Currently a Postdoctoral Research Fellow at MGH/Harvard Medical School, hosted by Prof. Juan Eugenio Iglesias and Prof. Bruce Fischl.
Education
- PhD from the Department of Computer Science at Stony Brook University; Master's degree from Tsinghua University; Bachelor's degree from Huazhong University of Science and Technology. Selected as a 2023 Catacosinos Fellow.
Background
- Research Interests: Machine Learning for Healthcare, with an emphasis on developing core AI/ML algorithms for healthcare applications. Specifically interested in Topology-Driven Deep Image Analysis, Trustworthy Machine Learning, Multimodal AI and Generative AI (GenAI), and Healthcare Applications.
Miscellany
- Mentoring: Chen Li (Ph.D. student at Department of BMI, Stony Brook University), Meilong Xu (Ph.D. student at Department of CS, Stony Brook University), Wentao Huang (Ph.D. student at Department of CS, Stony Brook University), Qingqiao Hu (Ph.D. student at Department of CS, Stony Brook University), Luca Drole (Master student in BME, ETH Zurich). Recent Services: Area Chair, MICCAI 2025; Area Chair, NeurIPS 2025; Area Chair, CVPR 2026; Area Chair, AISTATS 2026. Organizer: MICCAI 2025 Workshop on Topology- and Graph-Informed Imaging Informatics (TGI3); MICCAI 2024 Workshop on The First Workshop on Topology- and Graph-Informed Imaging Informatics (TGI3); MICCAI 2023 Tutorial on Topology-Driven Image Analysis.
