Dakai Jin
Orcid: 0000-0002-4806-2943
According to our database1,
Dakai Jin
authored at least 61 papers
between 2013 and 2024.
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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
Modality-Agnostic Structural Image Representation Learning for Deformable Multi-Modality Medical Image Registration.
CoRR, 2024
2023
SAME++: A Self-supervised Anatomical eMbeddings Enhanced medical image registration framework using stable sampling and regularized transformation.
CoRR, 2023
CoRR, 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
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
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
2022
SAM: Self-Supervised Learning of Pixel-Wise Anatomical Embeddings in Radiological Images.
IEEE Trans. Medical Imaging, 2022
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
DeepCRC: Colorectum and Colorectal Cancer Segmentation in CT Scans via Deep Colorectal Coordinate Transform.
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
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
Learning From Multiple Datasets With Heterogeneous and Partial Labels for Universal Lesion Detection in CT.
IEEE Trans. Medical Imaging, 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
CoRR, 2020
Learning from Multiple Datasets with Heterogeneous and Partial Labels for Universal Lesion Detection in CT.
CoRR, 2020
Universal Lesion Detection by Learning from Multiple Heterogeneously Labeled Datasets.
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
Robust Pancreatic Ductal Adenocarcinoma Segmentation with Multi-institutional Multi-phase Partially-Annotated CT Scans.
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
JSSR: A Joint Synthesis, Segmentation, and Registration System for 3D Multi-modal Image Alignment of Large-Scale Pathological CT Scans.
Proceedings of the Computer Vision - ECCV 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
Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge.
IEEE Trans. Medical Imaging, 2019
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 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
IEEE Trans. Vis. Comput. Graph., 2018
CT-Realistic Lung Nodule Simulation from 3D Conditional Generative Adversarial Networks for Robust Lung Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
White matter hyperintensity segmentation from T1 and FLAIR images using fully convolutional neural networks enhanced with residual connections.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
2017
Proceedings of the Medical Imaging 2017: Image Processing, 2017
3D Convolutional Neural Networks with Graph Refinement for Airway Segmentation Using Incomplete Data Labels.
Proceedings of the Machine Learning in Medical Imaging - 8th International Workshop, 2017
Pathological Pulmonary Lobe Segmentation from CT Images Using Progressive Holistically Nested Neural Networks and Random Walker.
Proceedings of the Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support, 2017
Direct biomechanical modeling of trabecular bone using a nonlinear manifold-based volumetric representation.
Proceedings of the Medical Imaging 2017: Biomedical Applications in Molecular, 2017
Robust segmentation of trabecular bone for in vivo CT imaging using anisotropic diffusion and multi-scale morphological reconstruction.
Proceedings of the Medical Imaging 2017: Biomedical Applications in Molecular, 2017
2016
A robust and efficient curve skeletonization algorithm for tree-like objects using minimum cost paths.
Pattern Recognit. Lett., 2016
A semi-automatic framework of measuring pulmonary arterial metrics at anatomic airway locations using CT imaging.
Proceedings of the Medical Imaging 2016: Biomedical Applications in Molecular, Structural, and Functional Imaging, San Diego, California, United States, 27 February, 2016
A Novel Iterative Method for Airway Tree Segmentation from CT Imaging Using Multiscale Leakage Detection.
Proceedings of the Computer Vision - ACCV 2016 Workshops, 2016
Segmentation of Trabecular Bone for In Vivo CT Imaging Using a Novel Approach of Computing Spatial Variation in Bone and Marrow Intensities.
Proceedings of the Computer Vision - ACCV 2016 Workshops, 2016
2015
Fuzzy Skeletonization Improves the Performance of Characterizing Trabecular Bone Micro-architecture.
Proceedings of the Advances in Visual Computing - 11th International Symposium, 2015
Filtering Non-Significant Quench Points Using Collision Impact in Grassfire Propagation.
Proceedings of the Image Analysis and Processing - ICIAP 2015, 2015
2014
A Robust Algorithm for Thickness Computation at Low Resolution and Its Application to In Vivo Trabecular Bone CT Imaging.
IEEE Trans. Biomed. Eng., 2014
Automated Assessment of Pulmonary Arterial Morphology in Multi-row Detector CT Imaging Using Correspondence with Anatomic Airway Branches.
Proceedings of the Advances in Visual Computing - 10th International Symposium, 2014
Volumetric Topological Analysis on In Vivo Trabecular Bone Magnetic Resonance Imaging.
Proceedings of the Advances in Visual Computing - 10th International Symposium, 2014
Proceedings of the 22nd International Conference on Pattern Recognition, 2014
2013
A new algorithm for trabecular bone thickness computation at low resolution achieved under in vivo condition.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013
A New Algorithm for Cortical Bone Segmentation with Its Validation and Applications to In Vivo Imaging.
Proceedings of the Image Analysis and Processing - ICIAP 2013, 2013
Proceedings of the Image Analysis and Processing - ICIAP 2013, 2013
Application of fuzzy skeletonization ot quantitatively assess trabecular bone micro-architecture.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013