Xiaoling Hu

Affiliations:
  • Harvard Medical School, Boston, MA, USA
  • Massachusetts General Hospital, Boston, MA, USA
  • Stony Brook University, Department of Computer Science, NY, USA (PhD)


According to our database1, Xiaoling Hu authored at least 33 papers between 2016 and 2024.

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Bibliography

2024
Anomaly-guided weakly supervised lesion segmentation on retinal OCT images.
Medical Image Anal., 2024

Hierarchical uncertainty estimation for learning-based registration in neuroimaging.
CoRR, 2024

Learning Topological Representations for Deep Image Understanding.
CoRR, 2024

Registration by Regression (RbR): A Framework for Interpretable and Flexible Atlas Registration.
Proceedings of the Biomedical Image Registration - 11th International Workshop, 2024

Spatial Diffusion for Cell Layout Generation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Hard Negative Sample Mining for Whole Slide Image Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

P-Count: Persistence-Based Counting of White Matter Hyperintensities in Brain MRI.
Proceedings of the Topology- and Graph-Informed Imaging Informatics, 2024

Semi-supervised Contrastive VAE for Disentanglement of Digital Pathology Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Semi-supervised Segmentation of Histopathology Images with Noise-Aware Topological Consistency.
Proceedings of the Computer Vision - ECCV 2024, 2024

Brain-ID: Learning Contrast-Agnostic Anatomical Representations for Brain Imaging.
Proceedings of the Computer Vision - ECCV 2024, 2024

2023
Manifold-driven decomposition for adversarial robustness.
Frontiers Comput. Sci., 2023

Brain-ID: Learning Robust Feature Representations for Brain Imaging.
CoRR, 2023

TopoSemiSeg: Enforcing Topological Consistency for Semi-Supervised Segmentation of Histopathology Images.
CoRR, 2023

Topology-Aware Uncertainty for Image Segmentation.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Confidence Estimation Using Unlabeled Data.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Learning Probabilistic Topological Representations Using Discrete Morse Theory.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Calibrating Uncertainty for Semi-Supervised Crowd Counting.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Enhancing Modality-Agnostic Representations via Meta-learning for Brain Tumor Segmentation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
Deep Statistic Shape Model for Myocardium Segmentation.
CoRR, 2022

Learning Probabilistic Structural Representation for Biomedical Image Segmentation.
CoRR, 2022

A Topology-Attention ConvLSTM Network and Its Application to EM Images.
CoRR, 2022

Structure-Aware Image Segmentation with Homotopy Warping.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Trigger Hunting with a Topological Prior for Trojan Detection.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Learning Topological Interactions for Multi-Class Medical Image Segmentation.
Proceedings of the Computer Vision - ECCV 2022, 2022

A Manifold View of Adversarial Risk.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021
Image Segmentation with Homotopy Warping.
CoRR, 2021

A Topological-Attention ConvLSTM Network and Its Application to EM Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

3D Topology-Preserving Segmentation with Compound Multi-Slice Representation.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

Topology-Aware Segmentation Using Discrete Morse Theory.
Proceedings of the 9th International Conference on Learning Representations, 2021

2019
Topology-Preserving Deep Image Segmentation.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2016
Two-stage patch-based sparse multi-value descriptor for face recognition.
Proceedings of the 2016 Visual Communications and Image Processing, 2016

Saliency detection based on integration of central bias, reweighting and multi-scale for superpixels.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Dump Truck Recognition Based on SCPSR in Videos.
Proceedings of the Pattern Recognition - 7th Chinese Conference, 2016


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