A Continual Learning-driven Model for Accurate and Generalizable Segmentation of Clinically Comprehensive and Fine-grained Whole-body Anatomies in CT.

[BibT_eX]

[DOI]

Dazhou Guo

Zhanghexuan Ji

Feng-Ming (Spring) Kong

CoRR, March, 2025

Med-Query: Steerable Parsing of 9-DoF Medical Anatomies With Query Embedding.

[BibT_eX]

[DOI]

IEEE J. Biomed. Health Informatics, January, 2025

Anatomy-Aware Low-Dose CT Denoising via Pretrained Vision Models and Semantic-Guided Contrastive Learning.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

Opportunistic Osteoporosis Diagnosis via Texture-Preserving Self-supervision, Mixture of Experts and Multi-task Integration.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

MaRS: A Fast Sampler for Mean Reverting Diffusion based on ODE and SDE Solvers.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

nnWNet: Rethinking the Use of Transformers in Biomedical Image Segmentation and Calling for a Unified Evaluation Benchmark.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

AngioDiff: Structure-Preserving and 3D-Consistent Diffusion for CT Angiography Synthesis.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

Towards a Comprehensive, Efficient and Promptable Anatomic Structure Segmentation Model Using 3D Whole-Body CT Scans.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

A Joint Representation Using Continuous and Discrete Features for Cardiovascular Diseases Risk Prediction on Chest CT Scans.

[BibT_eX]

[DOI]

CoRR, 2024

Rapid and Accurate Diagnosis of Acute Aortic Syndrome using Non-contrast CT: A Large-scale, Retrospective, Multi-center and AI-based Study.

[BibT_eX]

[DOI]

CoRR, 2024

High-precision teeth reconstruction based on automatic multimodal fusion with CBCT and IOS.

[BibT_eX]

[DOI]

Comput. Aided Geom. Des., 2024

Cross-Phase Mutual Learning Framework for Pulmonary Embolism Identification on Non-contrast CT Scans.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

CycleINR: Cycle Implicit Neural Representation for Arbitrary-Scale Volumetric Super-Resolution of Medical Data.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

GBGVD: Growth-based geodesic Voronoi diagrams.

[BibT_eX]

[DOI]

Graph. Model., October, 2023

Hybrid Optimization-based Cutting Simulation for Soft Objects.

[BibT_eX]

[DOI]

Comput. Aided Des., October, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

Anatomical Invariance Modeling and Semantic Alignment for Self-supervised Learning in 3D Medical Image Segmentation.

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

Parse and Recall: Towards Accurate Lung Nodule Malignancy Prediction Like Radiologists.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops, 2023

Div-Attention: A Plug-and-Play Module for 3D Medical Image Segmentation.

[BibT_eX]

[DOI]

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Anatomical Invariance Modeling and Semantic Alignment for Self-supervised Learning in 3D Medical Image Analysis.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Mutual consistency learning for semi-supervised medical image segmentation.

[BibT_eX]

[DOI]

Medical Image Anal., 2022

A New Probabilistic V-Net Model with Hierarchical Spatial Feature Transform for Efficient Abdominal Multi-Organ Segmentation.

[BibT_eX]

[DOI]

CoRR, 2022

2021

Fast exposure fusion of detail enhancement for brightest and darkest regions.

[BibT_eX]

[DOI]

Chunmeng Wang

Chen He

Minfeng Xu

Vis. Comput., 2021

Enforcing Mutual Consistency of Hard Regions for Semi-supervised Medical Image Segmentation.

[BibT_eX]

[DOI]

CoRR, 2021

Semi-supervised Left Atrium Segmentation with Mutual Consistency Training.

[BibT_eX]

[DOI]

CoRR, 2021

Blind motion deblurring via L0 sparse representation.

[BibT_eX]

[DOI]

Comput. Graph., 2021

Semi-supervised Left Atrium Segmentation with Mutual Consistency Training.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2020

Weakly Supervised Organ Localization with Attention Maps Regularized by Local Area Reconstruction.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Training Liver Vessel Segmentation Deep Neural Networks on Noisy Labels from Contrast CT Imaging.

[BibT_eX]