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 actively contribute most of my work to MICCAI/MedIA/CVPR and was awarded two MICCAI travel awards (MICCAI 2015/2016).

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.

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

Two papers accepted by MICCAI 2020

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

One paper accepted by MEDIA

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

Projects

Research Project

Survival Prediction

Recent Publications

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

PDF

(2020). Whole Slide Images based Cancer Survival Prediction using Attention Guided Deep Multiple Instance Learning Networks. Medical Image Analysis.

PDF Code DOI

(2019). Deep Multi-instance Learning for Survival Prediction from Whole Slide Images. MICCAI 2019.

PDF

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

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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