Dazhou Guo
Orcid: 0000-0002-5591-6126
According to our database1,
Dazhou Guo
authored at least 34 papers
between 2014 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
IEEE Trans. Medical Imaging, January, 2024
Towards a Comprehensive, Efficient and Promptable Anatomic Structure Segmentation Model using 3D Whole-body CT Scans.
CoRR, 2024
2023
Accurate Airway Tree Segmentation in CT Scans via Anatomy-aware Multi-class Segmentation and Topology-guided Iterative Learning.
CoRR, 2023
Multi-site, Multi-domain Airway Tree Modeling (ATM'22): A Public Benchmark for Pulmonary Airway Segmentation.
CoRR, 2023
Continual Segment: Towards a Single, Unified and Accessible Continual Segmentation Model of 143 Whole-body Organs in CT Scans.
CoRR, 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
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
2022
SAM: Self-Supervised Learning of Pixel-Wise Anatomical Embeddings in Radiological Images.
IEEE Trans. Medical Imaging, 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
DeepTarget: Gross tumor and clinical target volume segmentation in esophageal cancer radiotherapy.
Medical Image Anal., 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
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
IEEE Trans. Image Process., 2020
Neurocomputing, 2020
CoRR, 2020
Detecting Scatteredly-Distributed, Small, andCritically Important Objects in 3D OncologyImaging via Decision Stratification.
CoRR, 2020
Organ at Risk Segmentation for Head and Neck Cancer using Stratified Learning and Neural Architecture Search.
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
Organ at Risk Segmentation for Head and Neck Cancer Using Stratified Learning and Neural Architecture Search.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
2019
Small Object Sensitive Segmentation of Urban Street Scene With Spatial Adjacency Between Object Classes.
IEEE Trans. Image Process., 2019
Neurocomputing, 2019
Deep Esophageal Clinical Target Volume Delineation Using Encoded 3D Spatial Context of Tumors, Lymph Nodes, and Organs At Risk.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Accurate Esophageal Gross Tumor Volume Segmentation in PET/CT Using Two-Stream Chained 3D Deep Network Fusion.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
2018
Unsupervised Learning for Large-Scale Fiber Detection and Tracking in Microscopic Material Images.
CoRR, 2018
2017
Lesion detection using T1-weighted MRI: A new approach based on functional cortical ROIs.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017
Learning View-Invariant Features for Person Identification in Temporally Synchronized Videos Taken by Wearable Cameras.
Proceedings of the IEEE International Conference on Computer Vision, 2017
2015
Automated lesion detection on MRI scans using combined unsupervised and supervised methods.
BMC Medical Imaging, 2015
2014
Proceedings of the Computer Vision - ECCV 2014 Workshops, 2014