Jiawen Yao

According to our database1, Jiawen Yao authored at least 27 papers between 2014 and 2020.

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

Book
In proceedings
Article
PhD thesis
Other

Bibliography

2020
Whole slide images based cancer survival prediction using attention guided deep multiple instance learning networks.
Medical Image Anal., 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

DeepPrognosis: Preoperative Prediction of Pancreatic Cancer Survival and Surgical Margin via Contrast-Enhanced CT Imaging.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Graph Attention Multi-instance Learning for Accurate Colorectal Cancer Staging.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

2019
CT Data Curation for Liver Patients: Phase Recognition in Dynamic Contrast-Enhanced CT.
Proceedings of the Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data, 2019

Deep Multi-instance Learning for Survival Prediction from Whole Slide Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Integrating 3D Geometry of Organ for Improving Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Proceedings of the Adjunct of the 2019 International Conference on Multimodal Interaction, 2019

2018
Background Subtraction Using Spatio-Temporal Group Sparsity Recovery.
IEEE Trans. Circuits Syst. Video Technol., 2018

An efficient algorithm for dynamic MRI using low-rank and total variation regularizations.
Medical Image Anal., 2018

A simple primal-dual algorithm for nuclear norm and total variation regularization.
Neurocomputing, 2018

Robust Contextual Bandit via the Capped- ℓ _2 ℓ 2 Norm for Mobile Health Intervention.
Proceedings of the Machine Learning in Medical Imaging - 9th International Workshop, 2018

Graph CNN for Survival Analysis on Whole Slide Pathological Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Cohesion-driven Online Actor-Critic Reinforcement Learning for mHealth Intervention.
Proceedings of the 2018 ACM International Conference on Bioinformatics, 2018

Weakly Supervised Deep Learning for Thoracic Disease Classification and Localization on Chest X-rays.
Proceedings of the 2018 ACM International Conference on Bioinformatics, 2018

2017
Robust Contextual Bandit via the Capped-$\ell_{2}$ norm.
CoRR, 2017

Deep Correlational Learning for Survival Prediction from Multi-modality Data.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

WSISA: Making Survival Prediction from Whole Slide Histopathological Images.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016
Imaging Biomarker Discovery for Lung Cancer Survival Prediction.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Subtype Cell Detection with an Accelerated Deep Convolution Neural Network.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Lung cancer survival prediction from pathological images and genetic data - An integration study.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

Imaging-genetic data mapping for clinical outcome prediction via supervised conditional Gaussian graphical model.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

Deep convolutional neural network for survival analysis with pathological images.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

2015
Background Subtraction Based on Low-Rank and Structured Sparse Decomposition.
IEEE Trans. Image Process., 2015

Accelerated Dynamic MRI Reconstruction with Total Variation and Nuclear Norm Regularization.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015

Computer-Assisted Diagnosis of Lung Cancer Using Quantitative Topology Features.
Proceedings of the Machine Learning in Medical Imaging - 6th International Workshop, 2015

2014
Foreground detection using low rank and structured sparsity.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2014