Dazhou Guo

According to our database1, Dazhou Guo authored at least 17 papers between 2014 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
Degraded Image Semantic Segmentation With Dense-Gram Networks.
IEEE Trans. Image Process., 2020

Weakly supervised easy-to-hard learning for object detection in image sequences.
Neurocomputing, 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

An easy-to-hard learning strategy for within-image co-saliency detection.
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
LooseCut: Interactive Image Segmentation with Loosely Bounded Boxes.
CoRR, 2015

Automated lesion detection on MRI scans using combined unsupervised and supervised methods.
BMC Medical Imaging, 2015

2014
Video-Based Action Detection Using Multiple Wearable Cameras.
Proceedings of the Computer Vision - ECCV 2014 Workshops, 2014


  Loading...