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Xiaoling HuPostdoctoral Research FellowAthinoula A. Martinos Center for Biomedical ImagingMGH/Harvard Medical SchoolResearch Statement / CV / Linkedin / Twitter / Scholar / Github / arXiv |
I am currently a Postdoctoral Research Fellow at MGH/Harvard Medical School, hosted by Prof. Juan Eugenio Iglesias and Prof. Bruce Fischl.
I obtained my PhD degree from the Department of Computer Science at Stony Brook University.
Before that, I obtained my master and bachelor degrees from Tsinghua University and Huazhong University of Science and Technology, respectively.
Research Interests:
My research interest is Machine Learning for Healthcare, and I am focusing on developing core machine learning algorithms applied to healthcare problems.
In particular, I am interested in:
The First Workshop on Topology- and Graph-Informed Imaging Informatics (TGI3) |
Topology-Driven Image Analysis |
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NEW! Learn2Synth: Learning Optimal Data Synthesis using Hypergradients for Brain Image Segmentation |
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NEW! RankByGene: Gene-Guided Histopathology Representation Learning Through Cross-Modal Ranking Consistency |
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NEW! TopoCellGen: Generating Histopathology Cell Topology with a Diffusion Model |
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NEW! Hierarchical Uncertainty Estimation for Learning-based Registration in Neuroimaging |
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Semi-supervised Segmentation of Histopathology Images with Noise-Aware Topological Consistency |
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Brain-ID: Learning Contrast-agnostic Anatomical Representations for Brain Imaging |
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Registration by Regression (RbR): a framework for interpretable and flexible atlas registration |
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Anomaly-guided weakly supervised lesion segmentation on retinal OCT images |
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Topology-Aware Uncertainty for Image Segmentation |
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Calibrating Uncertainty for Semi-Supervised Crowd Counting |
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Enhancing Modality-Agnostic Representations via Meta-Learning for Brain Tumor Segmentation |
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Learning Probabilistic Topological Representations Using Discrete Morse Theory |
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Confidence Estimation Using Unlabeled Data |
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Structure-Aware Image Segmentation with Homotopy Warping |
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Learning Topological Interactions for Multi-Class Medical Image Segmentation |
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Trigger Hunting with a Topological Prior for Trojan Detection |
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Topology-aware Segmentation Using Discrete Morse Theory |
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Topology-Preserving Deep Image Segmentation |
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Learning Topological Representations for Deep Image Understanding |
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Topology-Aware Image Segmentation |
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Deep Shape Model Based Network |
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Object Detection and Clothes Search |
Area Chair for MICCAI
Reviewer for ICML, ICLR, NeurIPS, CVPR, ICCV, ECCV, AISTATS, TMI, MedIA, MICCAI, AAAI etc.