Xiaohan Xing
Orcid: 0000-0002-9992-3387
According to our database1,
Xiaohan Xing
authored at least 30 papers
between 2018 and 2024.
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Bibliography
2024
Comprehensive learning and adaptive teaching: Distilling multi-modal knowledge for pathological glioma grading.
Medical Image Anal., January, 2024
Artificial Intelligence-Enhanced Couinaud Segmentation for Precision Liver Cancer Therapy.
CoRR, 2024
MMR-Mamba: Multi-Contrast MRI Reconstruction with Mamba and Spatial-Frequency Information Fusion.
CoRR, 2024
Proceedings of the Machine Learning in Medical Imaging - 15th International Workshop, 2024
Accelerated Multi-contrast MRI Reconstruction via Frequency and Spatial Mutual Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Focus on Focus: Focus-oriented Representation Learning and Multi-view Cross-modal Alignment for Glioma Grading.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024
2023
Medical Image Anal., December, 2023
Gradient modulated contrastive distillation of low-rank multi-modal knowledge for disease diagnosis.
Medical Image Anal., August, 2023
Boundary-enhanced semi-supervised retinal layer segmentation in optical coherence tomography images using fewer labels.
Comput. Medical Imaging Graph., April, 2023
Discrepancy-based Active Learning for Weakly Supervised Bleeding Segmentation in Wireless Capsule Endoscopy Images.
CoRR, 2023
Gradient and Feature Conformity-Steered Medical Image Classification with Noisy Labels.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Locate before Segment: Topology-guided Retinal Layer Segmentation in Optical Coherence Tomography Images.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023
2022
Multi-level attention graph neural network based on co-expression gene modules for disease diagnosis and prognosis.
Bioinform., 2022
Discrepancy and Gradient-Guided Multi-modal Knowledge Distillation for Pathological Glioma Grading.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Discrepancy-Based Active Learning for Weakly Supervised Bleeding Segmentation in Wireless Capsule Endoscopy Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Multiple Consistency Supervision based Semi-supervised OCT Segmentation using Very Limited Annotations.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022
2021
Unseen Domain Generalization for Prostate MRI Segmentation via Disentangled Representations.
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2021
Categorical Relation-Preserving Contrastive Knowledge Distillation for Medical Image Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
DT-MIL: Deformable Transformer for Multi-instance Learning on Histopathological Image.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Multi-modal Multi-instance Learning Using Weakly Correlated Histopathological Images and Tabular Clinical Information.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Multibranch Learning for Angiodysplasia Segmentation with Attention-Guided Networks and Domain Adaptation.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021
An Interpretable Multi-Level Enhanced Graph Attention Network for Disease Diagnosis with Gene Expression Data.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
2020
Zoom in Lesions for Better Diagnosis: Attention Guided Deformation Network for WCE Image Classification.
IEEE Trans. Medical Imaging, 2020
Automatic Polyp Recognition in Colonoscopy Images Using Deep Learning and Two-Stage Pyramidal Feature Prediction.
IEEE Trans Autom. Sci. Eng., 2020
Wireless Capsule Endoscopy: A New Tool for Cancer Screening in the Colon With Deep-Learning-Based Polyp Recognition.
Proc. IEEE, 2020
Diagnose like a Clinician: Third-order Attention Guided Lesion Amplification Network for WCE Image Classification.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020
2019
A Saliency-Aware Hybrid Dense Network for Bleeding Detection in Wireless Capsule Endoscopy Images.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
2018
Bleeding Detection in Wireless Capsule Endoscopy Image Video Using Superpixel-Color Histogram and a Subspace KNN Classifier.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018