Xiaoling Hu

Postdoctoral Research Fellow
Laboratories for Computational Neuroimaging (LCN)
Athinoula A. Martinos Center for Biomedical Imaging
MGH/Harvard Medical School
Research Statement / CV / Linkedin / Twitter / Scholar / Github

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, advised by Prof. Chao Chen, and worked closely with Prof. Dimitris Samaras and Prof. Prateek Prasanna. During my PhD, I have also been fortunate to spend time at United Imaging Intelligence (UII) and Allen Institute for Cell Science to explore various biomedical scenarios/applications.

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 AI/ML algorithms applied to medical imaging problems. In particular, I am interested in:

  1. Topology-Driven Deep Image Analysis [NeurIPS'19, ISBI'21, ICLR'21, MICCAI'21, ICLR'22, ECCV'22, arXiv'22, NeurIPS'22, ICLR'23b, NeurIPS'23, Dissertation, arXiv'23a]
  2. Uncertainty Estimation and Its Applications [ICLR'23a, ICLR'23b, ICCV'23b, NeurIPS'23]
  3. Learning with Imperfect Data [ICLR'23a, ICCV'23a, ICCV'23b, arXiv'23a, MedIA'24]
  4. Brain Image Analysis [arXiv'23b, arXiv'24]
Email Address: xihu3 at mgh dot harvard dot edu

Contact Address: 149 13th St, Charlestown, MA 02129

Tutorials/Workshops

The First Workshop on Topology- and Graph-Informed Imaging Informatics (TGI3)
Chao Chen, Bjoern Menze, Yash Singh, Xiaoling Hu, Johannes C. Paetzold, Saumya Gupta, Colleen Farrelly, Quincy Hathaway, Rahul Paul, Paul Rosen, Jennifer Rozenblit
International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2024
Website

Topology-Driven Image Analysis
Chao Chen, Bjoern Menze, Xiaoling Hu, Johannes C. Paetzold, Saumya Gupta
International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2023
Website

Selected Publications (Full Publications)

(* denotes equal contributions, denotes students working closely with me)

P-Count: Persistence-based Counting of White Matter Hyperintensities in Brain MRI
Xiaoling Hu, Annabel Sorby-Adams, Frederik Barkhof, W Taylor Kimberly, Oula Puonti, Juan Eugenio Iglesias
Tech report
arXiv

TopoSemiSeg: Enforcing Topological Consistency for Semi-Supervised Segmentation of Histopathology Images
Meilong Xu, Xiaoling Hu, Saumya Gupta, Shahira Abousamra, Chao Chen
Tech report
arXiv Code

Brain-ID: Learning Robust Feature Representations for Brain Imaging
Peirong Liu, Oula Puonti, Xiaoling Hu, Daniel C. Alexander, Juan Eugenio Iglesias
Tech report
arXiv Code

Anomaly-guided weakly supervised lesion segmentation on retinal OCT images
Jiaqi Yang, Nitish Mehtac, Gozde Demirci, Xiaoling Hu, Meera S. Ramakrishnan, Mina Naguib, Chao Chen, Chia-Ling Tsai
Medical Image Analysis (MedIA), 2024
Paper

Topology-Aware Uncertainty for Image Segmentation
Saumya Gupta, Yikai Zhang, Xiaoling Hu, Prateek Prasanna, Chao Chen
Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS), 2023
Short version is also presented at NeurReps Workshop
Paper Code Poster

Learning Topological Representations for Deep Image Understanding
Xiaoling Hu
PhD Dissertation
pdf ProQuest Slide

Calibrating Uncertainty for Semi-Supervised Crowd Counting
Chen Li, Xiaoling Hu, Shahira Abousamra, Chao Chen
International Conference on Computer Vision (ICCV), 2023
Paper Code Slide Poster Video

Enhancing Modality-Agnostic Representations via Meta-Learning for Brain Tumor Segmentation
Aishik Konwer, Xiaoling Hu, Xuan Xu, Joseph Bae, Chao Chen, Prateek Prasanna
International Conference on Computer Vision (ICCV), 2023
Paper Slide

Learning Probabilistic Topological Representations Using Discrete Morse Theory
Xiaoling Hu, Dimitris Samaras, Chao Chen
International Conference on Learning Representations (ICLR), 2023 (Spotlight, notable-top-25%)
Short version is selected as Oral presentation at Medical Imaging meets NeurIPS Workshop
Paper OpenReview Code Slide Poster

Confidence Estimation Using Unlabeled Data
Chen Li, Xiaoling Hu, Chao Chen
International Conference on Learning Representations (ICLR), 2023
Paper OpenReview Code Slide Poster

Structure-Aware Image Segmentation with Homotopy Warping
Xiaoling Hu
Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS), 2022
Paper OpenReview Code Slide Poster

Deep Statistic Shape Model for Myocardium Segmentation
Xiaoling Hu, Xiao Chen, Yikang Liu, Eric Z. Chen, Terrence Chen, Shanhui Sun
Tech report
arXiv

Learning Topological Interactions for Multi-Class Medical Image Segmentation
Saumya Gupta*, Xiaoling Hu*, ..., Prateek Prasanna, Chao Chen
European Conference on Computer Vision (ECCV), 2022 (Oral, acceptance rate 2.7%)
Paper Code Slide Poster Video

Trigger Hunting with a Topological Prior for Trojan Detection
Xiaoling Hu, Xiao Lin, Michael Cogswell, Yi Yao, Susmit Jha, Chao Chen
International Conference on Learning Representations (ICLR), 2022
Paper OpenReview Code Slide Poster

A Topology-Attention ConvLSTM Network and Its Application to EM Images
Jiaqi Yang*, Xiaoling Hu*, Chao Chen, Chia-Ling Tsai
International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2021
Paper OpenReview Code Slide Poster

Topology-aware Segmentation Using Discrete Morse Theory
Xiaoling Hu, Yusu Wang, Li Fuxin, Dimitris Samaras, Chao Chen
International Conference on Learning Representations (ICLR), 2021 (Spotlight, acceptance rate 5.6%)
Paper OpenReview Code Slide Poster

3D Topology-Preserving Segmentation with Compound Multi-Slice Representation
Jiaqi Yang*, Xiaoling Hu*, Chao Chen, Chia-Ling Tsai
IEEE International Symposium on Biomedical Imaging (ISBI), 2021
Paper Poster

Topology-Preserving Deep Image Segmentation
Xiaoling Hu, Li Fuxin, Dimitris Samaras, Chao Chen
Thirty-third Conference on Neural Information Processing Systems (NeurIPS), 2019
Paper Code1 Code2 Slide Poster

Saliency detection based on integration of central bias, reweighting and multi-scale for superpixels
Xiaoling Hu, Wenming Yang, Fei Zhou, Qingmin Liao
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2016
Paper

Awards

Catacosinos Fellowship, 2023

Industry Experience


Allen Institute (May 2022-Aug. 2022)
Topology-Aware Image Segmentation

United Imaging Intelligence (UII) (May 2021-Aug. 2021)
Deep Shape Model Based Network

Tencent Youtu Lab (June 2017-Jan. 2018)
Object Detection and Clothes Search

Services

Reviewer for ICML, ICLR, NeurIPS, CVPR, ICCV, ECCV, AISTATS, MICCAI, AAAI etc.

Reading Group

Topology Data Analysis Reading Group