Senior Research Scientist

PAII Inc

Biography

Email: yjiaweneecs at gmail dot com

I am a senior research scientist at PAII Inc working with Dr. Le Lu. Before joining PAII in 2019, I obtained my PhD degree in Computer Science from University of Texas at Arlington under supervision from Dr. Junzhou Huang. I worked as research intern at NVIDIA and PAII in 2018 Summer and Fall, respectively.

My research interests include computer vision and machine learning with a focus on medical imaging applications with deep learning-based approaches. I am actively contributing my work to Top oncology and medical journals like Clinical Cancer Research (CCR)/Medical Imagen Analysis (MedIA) and Top conferences like MICCAI/CVPR. One work is selected for MICCAI-MedIA Special Issue of Best Papers in 2020.

I hold both Master’s and Bachelor’s Degree from Xi’an Jiaotong University in China. I was the winner of Microsoft Student Challenge 2012 and awarded two MICCAI travel awards (MICCAI 2015/2016).

Interests

  • Deep Learning in Medical Applications
  • Medical Image Analysis

Education

  • PhD in Computer Science, 2019

    University of Texas at Arlington

  • MEng in Signal and Information Processing, 2014

    Xi'an Jiaotong University

  • BEng in Information Engineering, 2011

    Xi'an Jiaotong University

  • Special Class for the Gifted-Young

    Xi'an Jiaotong University, 2005-2007

Recent Posts

Work for oncology accepted by CCR

Deep learning for fully-automated prediction of overall survival in patients with oropharyngeal cancer using FDG PET imaging: an international retrospective study. Codes are available !

One paper accepted by CVPR 2021

We have one CVPR accepted paper on Pacnreas Project for diagnosis. Great work from our Intern Tianyi Zhao. Available on this link

Two papers accepted by MICCAI 2020

We have two MICCAI early accepted papers on Pacnreas Project for diagnosis and prognosis.

Projects

AI in Oncology

OPSCC and Pancreas Project

Research Project

Survival Prediction

Recent Publications

(2021). DeepPrognosis: Preoperative Prediction of Pancreatic Cancer Survival and Surgical Margin via Comprehensive Understanding of Dynamic Contrast-Enhanced CT Imaging and Tumor-Vascular Contact Parsing. Medical Image Analysis (MICCAI 2020 Selected Best Papers SI).

PDF

(2021). 3D Graph Anatomy Geometry-Integrated Network for Pancreatic Mass Segmentation, Diagnosis, and Quantitative Patient Management. CVPR 2021.

PDF

(2021). Deep learning for fully-automated prediction of overall survival in patients with oropharyngeal cancer using FDG PET imaging. Clinical Cancer Research.

PDF Code DOI

(2020). Robust Pancreatic Ductal Adenocarcinoma Segmentation with Multi-Institutional Multi-Phase Partially-Annotated CT Scans. MICCAI 2020.

PDF

Academic Services

Journal Reviewer

  • IEEE Transactions on Medical Imaging
  • Medical Image Analysis
  • IEEE Transactions on on Circuits and Systems for Video Technology
  • Pattern Recognition
  • Neurocomputing

Conference Program Committee/Reviewer

  • AAAI Conference on Artificial Intelligence (AAAI), 2021
  • ICCV 2021, CVPR 2021
  • International Conference on Medical Imaging with Deep Learning (MIDL), 2020
  • Medical Image Computing and Computer Assisted Intervention (MICCAI), 2017-2021

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