Xianghua Ye

Orcid: 0000-0002-4075-4777

According to our database1, Xianghua Ye authored at least 28 papers between 2009 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Links

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Bibliography

2024
Accurate Airway Tree Segmentation in CT Scans via Anatomy-Aware Multi-Class Segmentation and Topology-Guided Iterative Learning.
IEEE Trans. Medical Imaging, December, 2024

Low-Rank Continual Pyramid Vision Transformer: Incrementally Segment Whole-Body Organs in CT with Light-Weighted Adaptation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Slice-Consistent Lymph Nodes Detection Transformer in CT Scans via Cross-Slice Query Contrastive Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Semi-supervised Lymph Node Metastasis Classification with Pathology-Guided Label Sharpening and Two-Streamed Multi-scale Fusion.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Effective Lymph Nodes Detection in CT Scans Using Location Debiased Query Selection and Contrastive Query Representation in Transformer.
Proceedings of the Computer Vision - ECCV 2024, 2024

Bootstrapping Chest CT Image Understanding by Distilling Knowledge from X-Ray Expert Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
SAMv2: A Unified Framework for Learning Appearance, Semantic and Cross-Modality Anatomical Embeddings.
CoRR, 2023

SAME++: A Self-supervised Anatomical eMbeddings Enhanced medical image registration framework using stable sampling and regularized transformation.
CoRR, 2023

Matching in the Wild: Learning Anatomical Embeddings for Multi-Modality Images.
CoRR, 2023

Continual Segment: Towards a Single, Unified and Accessible Continual Segmentation Model of 143 Whole-body Organs in CT Scans.
CoRR, 2023

Towards a Single Unified Model for Effective Detection, Segmentation, and Diagnosis of Eight Major Cancers Using a Large Collection of CT Scans.
CoRR, 2023

Automated Coarse-to-Fine Segmentation of Thoracic Duct Using Anatomy Priors and Topology-Guided Curved Planar Reformation.
Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023

Parse and Recall: Towards Accurate Lung Nodule Malignancy Prediction Like Radiologists.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Anatomy-Aware Lymph Node Detection in Chest CT Using Implicit Station Stratification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops, 2023

SAMConvex: Fast Discrete Optimization for CT Registration Using Self-supervised Anatomical Embedding and Correlation Pyramid.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Continual Segment: Towards a Single, Unified and Non-forgetting Continual Segmentation Model of 143 Whole-body Organs in CT Scans.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

CancerUniT: Towards a Single Unified Model for Effective Detection, Segmentation, and Diagnosis of Eight Major Cancers Using a Large Collection of CT Scans.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
Effective Opportunistic Esophageal Cancer Screening Using Noncontrast CT Imaging.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Thoracic Lymph Node Segmentation in CT Imaging via Lymph Node Station Stratification and Size Encoding.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021
Comprehensive and Clinically Accurate Head and Neck Organs at Risk Delineation via Stratified Deep Learning: A Large-scale Multi-Institutional Study.
CoRR, 2021

Multi-institutional Validation of Two-Streamed Deep Learning Method for Automated Delineation of Esophageal Gross Tumor Volume using planning-CT and FDG-PETCT.
CoRR, 2021

DeepStationing: Thoracic Lymph Node Station Parsing in CT Scans using Anatomical Context Encoding and Key Organ Auto-Search.
CoRR, 2021

SAME: Deformable Image Registration Based on Self-supervised Anatomical Embeddings.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

DeepStationing: Thoracic Lymph Node Station Parsing in CT Scans Using Anatomical Context Encoding and Key Organ Auto-Search.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2020
Detecting Scatteredly-Distributed, Small, andCritically Important Objects in 3D OncologyImaging via Decision Stratification.
CoRR, 2020

Lymph Node Gross Tumor Volume Detection and Segmentation via Distance-Based Gating Using 3D CT/PET Imaging in Radiotherapy.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Lymph Node Gross Tumor Volume Detection in Oncology Imaging via Relationship Learning Using Graph Neural Network.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

2009
PET transmission tomography using a novel nonlocal MRF prior.
Comput. Medical Imaging Graph., 2009


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