Publications

Cao, Kai*, Xia, Yingda*, Yao, Jiawen*, Han, Xu, Lambert, Lukas, Zhang, Tingting, Tang, Wei, Jin, Gang, Jiang, Hui, Fang, Xu, others

November 2023 Nature Medicine

Large-scale pancreatic cancer detection via non-contrast CT and deep learning

AI and imaging-based cancer screening: getting ready for prime time.

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Jiawen Yao, Xianghua Ye, Yingda Xia, Jian Zhou, Yu Shi, Ke Yan, Fang, Lili Lin, Haogang Yu, Xian-Sheng Hua, Le Lu, Dakai Jin, Ling Zhang

August 2022 MICCAI 2022

Effective Opportunistic Esophageal Cancer Screening using Noncontrast CT Imaging

Esophageal cancer screening using Non-contrast CT

Jiawen Yao*, Kai Cao*, Yang Hou*, Jian Zhou*, Yingda Xia, Isabella Nogues, Qike Song, Hui, Xianghua Ye, Jianping Lu, Gang, Hong Lu, Chuanmiao Xie, Rong Zhang, Jin, Zaiyi Liu, Feng Gao, Yafei Qi, Xu, Yang Zheng, Le Lu, Yu Shi#, Ling Zhang

July 2022 Annals of Surgery

Deep Learning for Fully Automated Prediction of Overall Survival in Patients Undergoing Resection for Pancreatic Cancer: A Retrospective Multicenter Study

Another pancreatic cancer work milestone for our group.

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Jiawen Yao*, Yu Shi*, Kai Cao*, Le Lu, Jianping Lu, Qike Song, Gang, Jin, Yang Hou, Ling Zhang

June 2021 Medical Image Analysis (MICCAI 2020 Selected Best Papers SI)

DeepPrognosis: Preoperative Prediction of Pancreatic Cancer Survival and Surgical Margin via Comprehensive Understanding of Dynamic Contrast-Enhanced CT Imaging and Tumor-Vascular Contact Parsing

MICCAI-MedIA (Medical Image Analysis) Special Issue of Best Papers in 2020

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Tianyi Zhao*, Kai Cao*, Jiawen Yao, Isabella Nogues, Le Lu, Lingyun Huang, Jin, Zhaozheng Yin, Ling Zhang

May 2021 CVPR 2021

3D Graph Anatomy Geometry-Integrated Network for Pancreatic Mass Segmentation, Diagnosis, and Quantitative Patient Management

Nice work from our Intern. It the first work to propose a multiphase CT imaging analysis method for the full-spectrum taxonomy of pancreatic mass/disease diagnosis.

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Nai-Ming Cheng*, Jiawen Yao*, Jin, Xianghua Ye, Shilin Zhao, Kui Zhao, Wenlan Zhou, Isabella Nogues, Yuankai Huo, Chun-Ta Liao, Hung-Ming Wang, Chien-Yu Lin, Li-Yu Lee, Jin, Le Lu, Ling Zhang* and Tzu-Chen Yen*

April 2021 Clinical Cancer Research

Deep learning for fully-automated prediction of overall survival in patients with oropharyngeal cancer using FDG PET imaging

My co-first authorship clinical paper on oncology.

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Ling Zhang, Yu Shi, Jiawen Yao, Yun Bian, Kai Cao, Dakai Jin, Jin, Le Lu

October 2020 MICCAI 2020

Robust Pancreatic Ductal Adenocarcinoma Segmentation with Multi-Institutional Multi-Phase Partially-Annotated CT Scans

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Jiawen Yao, Yu Shi, Le Lu, Jin, Ling Zhang

October 2020 MICCAI 2020

DeepPrognosis: Preoperative Prediction of Pancreatic Cancer Survival and Surgical Margin via Contrast-Enhanced CT Imaging

A Contrast-Enhanced CT prediction model for PDAC.

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Jiawen Yao, Xinliang Zhu, Jitendra Jonnagaddala, Nicholas Hawkins, Junzhou Huang

July 2020 Medical Image Analysis, MICCAI 2019

Whole Slide Images based Cancer Survival Prediction using Attention Guided Deep Multiple Instance Learning Networks

This is an improved version of our MICCAI 19 work.

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Jiawen Yao, Xinliang Zhu, Junzhou Huang

October 2019 MICCAI 2019

Deep Multi-instance Learning for Survival Prediction from Whole Slide Images

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Jiawen Yao, Jin, Dong Yang, Daguang Xu, Junzhou Huang

January 2019 MICCAI 2019

Integrating 3D Geometry of Organ for Improving Medical Image Segmentation

Bo Zhou, Adam P. Harrison, Jiawen Yao, Chi-Tung Cheng, Jin, Chien-Hung Liao, Le Lu

January 2019 Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data

CT Data Curation for Liver Patients: Phase Recognition in Dynamic Contrast-Enhanced CT

Chaochao Yan, Jiawen Yao, Ruoyu Li, Zheng Xu, Junzhou Huang

January 2018 Proceedings of the 2018 ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics

Weakly supervised deep learning for thoracic disease classification and localization on chest x-rays

Ruoyu Li, Jiawen Yao, Xinliang Zhu, Yeqing Li, Junzhou Huang

January 2018 International Conference on Medical Image Computing and Computer-Assisted Intervention

Graph CNN for survival analysis on whole slide pathological images

Feiyun Zhu, Peng Liao, Xinliang Zhu, Jiawen Yao, Junzhou Huang

January 2018 Proceedings of the 2018 ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics

Cohesion-driven online actor-critic reinforcement learning for mhealth intervention

Jiawen Yao, Zheng Xu, Xiaolei Huang, Junzhou Huang

January 2018 Medical image analysis, MICCAI 2015

An efficient algorithm for dynamic MRI using low-rank and total variation regularizations

The extension version of MICCAI 2015. MATLAB Code is available.

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Zhibin Zhu, Jiawen Yao, Zheng Xu, Junzhou Huang, Benxin Zhang

January 2018 Neurocomputing

A simple primal-dual algorithm for nuclear norm and total variation regularization

Xinliang Zhu, Jiawen Yao, Feiyun Zhu, Junzhou Huang

January 2017 CVPR 2017

Wsisa: Making survival prediction from whole slide histopathological images

Use Deep learning model to predict survival from WSI.

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Jiawen Yao, Xinliang Zhu, Feiyun Zhu, Junzhou Huang

January 2017 MICCAI 2017 Oral Presentation

Jiawen Yao, Zheng Xu, Xiaolei Huang, Junzhou Huang

January 2015 MICCAI 2015

Accelerated dynamic MRI reconstruction with total variation and nuclear norm regularization

Code

Jiawen Yao, Xin Liu, Chun Qi

January 2014 ICME 2014

Large-scale pancreatic cancer detection via non-contrast CT and deep learning

Effective Opportunistic Esophageal Cancer Screening using Noncontrast CT Imaging

Deep Learning for Fully Automated Prediction of Overall Survival in Patients Undergoing Resection for Pancreatic Cancer: A Retrospective Multicenter Study

DeepPrognosis: Preoperative Prediction of Pancreatic Cancer Survival and Surgical Margin via Comprehensive Understanding of Dynamic Contrast-Enhanced CT Imaging and Tumor-Vascular Contact Parsing

3D Graph Anatomy Geometry-Integrated Network for Pancreatic Mass Segmentation, Diagnosis, and Quantitative Patient Management

Deep learning for fully-automated prediction of overall survival in patients with oropharyngeal cancer using FDG PET imaging

Robust Pancreatic Ductal Adenocarcinoma Segmentation with Multi-Institutional Multi-Phase Partially-Annotated CT Scans

DeepPrognosis: Preoperative Prediction of Pancreatic Cancer Survival and Surgical Margin via Contrast-Enhanced CT Imaging

Whole Slide Images based Cancer Survival Prediction using Attention Guided Deep Multiple Instance Learning Networks

Deep Multi-instance Learning for Survival Prediction from Whole Slide Images

Integrating 3D Geometry of Organ for Improving Medical Image Segmentation

CT Data Curation for Liver Patients: Phase Recognition in Dynamic Contrast-Enhanced CT

Weakly supervised deep learning for thoracic disease classification and localization on chest x-rays

Graph CNN for survival analysis on whole slide pathological images

Cohesion-driven online actor-critic reinforcement learning for mhealth intervention

An efficient algorithm for dynamic MRI using low-rank and total variation regularizations

A simple primal-dual algorithm for nuclear norm and total variation regularization

Wsisa: Making survival prediction from whole slide histopathological images

Deep correlational learning for survival prediction from multi-modality data

Background subtraction using spatio-temporal group sparsity recovery

Subtype cell detection with an accelerated deep convolution neural network

Lung cancer survival prediction from pathological images and genetic data—An integration study

Imaging-genetic data mapping for clinical outcome prediction via supervised conditional gaussian graphical model

Imaging biomarker discovery for lung cancer survival prediction

Deep convolutional neural network for survival analysis with pathological images

Computer-assisted diagnosis of lung cancer using quantitative topology features

Background subtraction based on low-rank and structured sparse decomposition

Accelerated dynamic MRI reconstruction with total variation and nuclear norm regularization

Foreground detection using low rank and structured sparsity