Zhuotun Zhu

According to our database1, Zhuotun Zhu authored at least 20 papers between 2015 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
Uncertainty-aware multi-view co-training for semi-supervised medical image segmentation and domain adaptation.
Medical Image Anal., 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

Segmentation for Classification of Screening Pancreatic Neuroendocrine Tumors.
CoRR, 2020

3D Semi-Supervised Learning with Uncertainty-Aware Multi-View Co-Training.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 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
Multi-scale Coarse-to-Fine Segmentation for Screening Pancreatic Ductal Adenocarcinoma.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

V-NAS: Neural Architecture Search for Volumetric Medical Image Segmentation.
Proceedings of the 2019 International Conference on 3D Vision, 2019

Volumetric Medical Image Segmentation: A 3D Deep Coarse-to-Fine Framework and Its Adversarial Examples.
Proceedings of the Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics, 2019

2018
Bridging the Gap Between 2D and 3D Organ Segmentation.
CoRR, 2018

Bridging the Gap Between 2D and 3D Organ Segmentation with Volumetric Fusion Net.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

A 3D Coarse-to-Fine Framework for Volumetric Medical Image Segmentation.
Proceedings of the 2018 International Conference on 3D Vision, 2018

2017
A 3D Coarse-to-Fine Framework for Automatic Pancreas Segmentation.
CoRR, 2017

Object Recognition with and without Objects.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

2016
Deep Learning Representation using Autoencoder for 3D Shape Retrieval.
Neurocomputing, 2016

2015
3D Shape Matching via Two Layer Coding.
IEEE Trans. Pattern Anal. Mach. Intell., 2015

Bag Reference Vector for Multi-instance Learning.
CoRR, 2015

Relaxed Multiple-Instance SVM with Application to Object Discovery.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015


  Loading...