Dakai Jin

According to our database1, Dakai Jin authored at least 35 papers between 2013 and 2020.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

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

JSSR: A Joint Synthesis, Segmentation, and Registration System for 3D Multi-Modal Image Alignment of Large-scale Pathological CT Scans.
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

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

Weakly Supervised Universal Fracture Detection in Pelvic X-Rays.
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
Fuzzy Object Skeletonization: Theory, Algorithms, and Applications.
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
An iterative method for airway segmentation using multiscale leakage detection.
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

A New Approach of Arc Skeletonization for Tree-like Objects Using Minimum Cost Path.
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

A New Fuzzy Skeletonization Algorithm and Its Applications to Medical Imaging.
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


  Loading...