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ORCIDXiaoling Hu 0002
Person information
- affiliation: Harvard Medical School, Boston, MA, USA
- affiliation: Massachusetts General Hospital, Boston, MA, USA
- affiliation (PhD): Stony Brook University, Department of Computer Science, NY, USA
Other persons with the same name
- Xiaoling Hu — disambiguation page
- Xiaoling Hu 0001
![[0000-0001-9418-8515]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0001-9418-8515")
— Beijing University of Posts and Telecommunications, State Key Laboratory of Networking and Switching Technology, China (and 1 more) - Xiaoling Hu 0003 — Hong Kong Polytechnic University, Hong Kong
- Xiaoling Hu 0004 — South China Normal University, Guangzhou, China
- Xiaoling Hu 0005 — Chongqing University of Posts and Telecommunications, Chongqing, China
- Xiaoling Hu 0006 — University of Sheffield, UK
- Xiaoling Hu 0007 — University of Gloucestershire, Cheltenham, UK
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Journal Articles
- 2024
[j2]Jiaqi Yang, Nitish Mehta, Gözde Merve Demirci, Xiaoling Hu, Meera S. Ramakrishnan, Mina Naguib, Chao Chen, Chia-Ling Tsai:
Anomaly-guided weakly supervised lesion segmentation on retinal OCT images. Medical Image Anal. 94: 103139 (2024)- 2023
- [j1]Wenjia Zhang, Yikai Zhang, Xiaoling Hu, Yi Yao, Mayank Goswami, Chao Chen, Dimitris N. Metaxas:
Manifold-driven decomposition for adversarial robustness. Frontiers Comput. Sci. 5 (2023)
Conference and Workshop Papers
- 2024
- [c23]Meilong Xu, Xiaoling Hu, Saumya Gupta, Shahira Abousamra, Chao Chen:
Semi-supervised Segmentation of Histopathology Images with Noise-Aware Topological Consistency. ECCV (78) 2024: 271-289 - [c22]Peirong Liu, Oula Puonti, Xiaoling Hu, Daniel C. Alexander, Juan Eugenio Iglesias:
Brain-ID: Learning Contrast-Agnostic Anatomical Representations for Brain Imaging. ECCV (12) 2024: 322-340 - [c21]Xiaoling Hu, Annabel Sorby-Adams, Frederik Barkhof, W. Taylor Kimberly, Oula Puonti, Juan Eugenio Iglesias:
P-Count: Persistence-Based Counting of White Matter Hyperintensities in Brain MRI. TGI3@MICCAI 2024: 100-110 - [c20]Wentao Huang, Xiaoling Hu, Shahira Abousamra, Prateek Prasanna, Chao Chen:
Hard Negative Sample Mining for Whole Slide Image Classification. MICCAI (4) 2024: 144-154 - [c19]Mahmudul Hasan, Xiaoling Hu, Shahira Abousamra, Prateek Prasanna, Joel H. Saltz, Chao Chen:
Semi-supervised Contrastive VAE for Disentanglement of Digital Pathology Images. MICCAI (4) 2024: 459-469 - [c18]Chen Li, Xiaoling Hu, Shahira Abousamra, Meilong Xu, Chao Chen:
Spatial Diffusion for Cell Layout Generation. MICCAI (4) 2024: 481-491 - [c17]Karthik Gopinath, Xiaoling Hu, Malte Hoffmann, Oula Puonti, Juan Eugenio Iglesias:
Registration by Regression (RbR): A Framework for Interpretable and Flexible Atlas Registration. WBIR 2024: 205-215 - 2023
- [c16]Chen Li, Xiaoling Hu, Shahira Abousamra, Chao Chen:
Calibrating Uncertainty for Semi-Supervised Crowd Counting. ICCV 2023: 16685-16695 - [c15]Aishik Konwer, Xiaoling Hu, Joseph Bae, Xuan Xu, Chao Chen, Prateek Prasanna:
Enhancing Modality-Agnostic Representations via Meta-learning for Brain Tumor Segmentation. ICCV 2023: 21358-21368 - [c14]Xiaoling Hu, Dimitris Samaras, Chao Chen:
Learning Probabilistic Topological Representations Using Discrete Morse Theory. ICLR 2023 - [c13]Chen Li, Xiaoling Hu, Chao Chen:
Confidence Estimation Using Unlabeled Data. ICLR 2023 - [c12]Saumya Gupta, Yikai Zhang, Xiaoling Hu, Prateek Prasanna, Chao Chen:
Topology-Aware Uncertainty for Image Segmentation. NeurIPS 2023 - 2022
- [c11]Wenjia Zhang, Yikai Zhang, Xiaoling Hu, Mayank Goswami, Chao Chen, Dimitris N. Metaxas:
A Manifold View of Adversarial Risk. AISTATS 2022: 11598-11614 - [c10]Saumya Gupta, Xiaoling Hu, James Kaan, Michael Jin, Mutshipay Mpoy, Katherine Chung, Gagandeep Singh, Mary M. Saltz, Tahsin M. Kurç, Joel H. Saltz, Apostolos Tassiopoulos, Prateek Prasanna, Chao Chen:
Learning Topological Interactions for Multi-Class Medical Image Segmentation. ECCV (29) 2022: 701-718 - [c9]Xiaoling Hu, Xiao Lin, Michael Cogswell, Yi Yao, Susmit Jha, Chao Chen:
Trigger Hunting with a Topological Prior for Trojan Detection. ICLR 2022 - [c8]Xiaoling Hu:
Structure-Aware Image Segmentation with Homotopy Warping. NeurIPS 2022 - 2021
- [c7]Xiaoling Hu, Yusu Wang, Fuxin Li, Dimitris Samaras, Chao Chen:
Topology-Aware Segmentation Using Discrete Morse Theory. ICLR 2021 - [c6]Jiaqi Yang, Xiaoling Hu, Chao Chen, Chialing Tsai:
3D Topology-Preserving Segmentation with Compound Multi-Slice Representation. ISBI 2021: 1297-1301 - [c5]Jiaqi Yang, Xiaoling Hu, Chao Chen, Chialing Tsai:
A Topological-Attention ConvLSTM Network and Its Application to EM Images. MICCAI (1) 2021: 217-228 - 2019
- [c4]Xiaoling Hu, Fuxin Li, Dimitris Samaras, Chao Chen:
Topology-Preserving Deep Image Segmentation. NeurIPS 2019: 5658-5669 - 2016
- [c3]Wenming Yang, Xiaoling Hu, Riqiang Gao, Qingmin Liao:
Dump Truck Recognition Based on SCPSR in Videos. CCPR (2) 2016: 325-333 - [c2]Xiaoling Hu, Wenming Yang, Fei Zhou, Qingmin Liao:
Saliency detection based on integration of central bias, reweighting and multi-scale for superpixels. ICASSP 2016: 1946-1950 - [c1]Riqiang Gao, Wenming Yang, Xiaoling Hu, Qingmin Liao:
Two-stage patch-based sparse multi-value descriptor for face recognition. VCIP 2016: 1-4
Editorship
- 2025
- [e1]Chao Chen, Yash Singh, Xiaoling Hu:
Topology- and Graph-Informed Imaging Informatics - First International Workshop, TGI3 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 10, 2024, Proceedings. Lecture Notes in Computer Science 15239, Springer 2025, ISBN 978-3-031-73966-8 [contents]
Informal and Other Publications
- 2024
- [i21]Xiaoling Hu, Annabel Sorby-Adams, Frederik Barkhof, W. Taylor Kimberly, Oula Puonti, Juan Eugenio Iglesias:
P-Count: Persistence-based Counting of White Matter Hyperintensities in Brain MRI. CoRR abs/2403.13996 (2024) - [i20]Xiaoling Hu:
Learning Topological Representations for Deep Image Understanding. CoRR abs/2403.15361 (2024) - [i19]Karthik Gopinath, Xiaoling Hu, Malte Hoffmann, Oula Puonti, Juan Eugenio Iglesias:
Registration by Regression (RbR): a framework for interpretable and flexible atlas registration. CoRR abs/2404.16781 (2024) - [i18]Chen Li, Xiaoling Hu, Shahira Abousamra, Meilong Xu, Chao Chen:
Spatial Diffusion for Cell Layout Generation. CoRR abs/2409.03106 (2024) - [i17]Mahmudul Hasan, Xiaoling Hu, Shahira Abousamra, Prateek Prasanna, Joel H. Saltz, Chao Chen:
Semi-Supervised Contrastive VAE for Disentanglement of Digital Pathology Images. CoRR abs/2410.02012 (2024) - [i16]Wentao Huang, Xiaoling Hu, Shahira Abousamra, Prateek Prasanna, Chao Chen:
Hard Negative Sample Mining for Whole Slide Image Classification. CoRR abs/2410.02212 (2024) - [i15]Xiaoling Hu, Karthik Gopinath, Peirong Liu, Malte Hoffmann, Koen Van Leemput, Oula Puonti, Juan Eugenio Iglesias:
Hierarchical uncertainty estimation for learning-based registration in neuroimaging. CoRR abs/2410.09299 (2024) - 2023
- [i14]Aishik Konwer, Xiaoling Hu, Xuan Xu, Joseph Bae, Chao Chen, Prateek Prasanna:
Enhancing Modality-Agnostic Representations via Meta-Learning for Brain Tumor Segmentation. CoRR abs/2302.04308 (2023) - [i13]Saumya Gupta, Yikai Zhang, Xiaoling Hu, Prateek Prasanna, Chao Chen:
Topology-Aware Uncertainty for Image Segmentation. CoRR abs/2306.05671 (2023) - [i12]Chen Li, Xiaoling Hu, Chao Chen:
Confidence Estimation Using Unlabeled Data. CoRR abs/2307.10440 (2023) - [i11]Chen Li, Xiaoling Hu, Shahira Abousamra, Chao Chen:
Calibrating Uncertainty for Semi-Supervised Crowd Counting. CoRR abs/2308.09887 (2023) - [i10]Meilong Xu, Xiaoling Hu, Saumya Gupta, Shahira Abousamra, Chao Chen:
TopoSemiSeg: Enforcing Topological Consistency for Semi-Supervised Segmentation of Histopathology Images. CoRR abs/2311.16447 (2023) - [i9]Peirong Liu, Oula Puonti, Xiaoling Hu, Daniel C. Alexander, Juan Eugenio Iglesias:
Brain-ID: Learning Robust Feature Representations for Brain Imaging. CoRR abs/2311.16914 (2023) - 2022
- [i8]Jiaqi Yang, Xiaoling Hu, Chao Chen, Chialing Tsai:
A Topology-Attention ConvLSTM Network and Its Application to EM Images. CoRR abs/2202.03430 (2022) - [i7]Xiaoling Hu, Dimitris Samaras, Chao Chen:
Learning Probabilistic Structural Representation for Biomedical Image Segmentation. CoRR abs/2206.01742 (2022) - [i6]Saumya Gupta, Xiaoling Hu, James Kaan, Michael Jin, Mutshipay Mpoy, Katherine Chung, Gagandeep Singh, Mary M. Saltz, Tahsin M. Kurç, Joel H. Saltz, Apostolos Tassiopoulos, Prateek Prasanna, Chao Chen:
Learning Topological Interactions for Multi-Class Medical Image Segmentation. CoRR abs/2207.09654 (2022) - [i5]Xiaoling Hu, Xiao Chen, Yikang Liu, Eric Z. Chen, Terrence Chen, Shanhui Sun:
Deep Statistic Shape Model for Myocardium Segmentation. CoRR abs/2207.10607 (2022) - 2021
- [i4]Xiaoling Hu, Yusu Wang, Fuxin Li, Dimitris Samaras, Chao Chen:
Topology-Aware Segmentation Using Discrete Morse Theory. CoRR abs/2103.09992 (2021) - [i3]Xiaoling Hu, Xiao Lin, Michael Cogswell, Yi Yao, Susmit Jha, Chao Chen:
Trigger Hunting with a Topological Prior for Trojan Detection. CoRR abs/2110.08335 (2021) - [i2]Xiaoling Hu, Chao Chen:
Image Segmentation with Homotopy Warping. CoRR abs/2112.07812 (2021) - 2019
- [i1]Xiaoling Hu, Fuxin Li, Dimitris Samaras, Chao Chen:
Topology-Preserving Deep Image Segmentation. CoRR abs/1906.05404 (2019)
Coauthor Index
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