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Email: zongweiz@asu.edu

Tel: 1-(480)738-2575

Birthday: Dec 3rd, 1993

URL: www.zongweiz.com

Office: 13212 E Shea Blvd, Scottsdale AZ, 85259

Research overview: Zongwei Zhou received a B.Sc. degree with honors in Computer Science from Dalian University of Technology in 2016. He is currently a Ph.D. student in the Department of Biomedical Informatics, Arizona State University reporting to Dr. Jianming Liang. He has also spent time at Mayo Clinic, University of California, Berkeley, and Université de Montréal. Drawing upon biomedical informatics, computer vision, and deep learning, his research focuses on developing novel methodologies to minimize the annotation efforts for computer-aided diagnosis, therapy, and surgery. Zhou has published 8 peer-reviewed publications in some of the most prestigious journals and conferences in his field, such as IEEE Transactions on Medical Imaging, Journal of Digital Imaging, CVPR, ICCV, and MICCAI. Moreover, he holds 1 US patent and additional 6 patents pending. He is the recipient of the MICCAI Young Scientist Award in 2019.

Education

Ph.D. Aug.2017-now

Arizona State University

Department: Biomedical Informatics

GPA: 3.94/4.0

Advisors: Prof. Jianming Liang, Prof. Edward H. Shortliffe, and Prof. Murthy Devarakonda

B.Sc. Sep.2012-Jul.2016

Dalian University of Technology

Department: Computer Science

GPA: 86.0/100.0 (general) | 86.6/100.0 (major)

Thesis: Medical image classification based on deep learning
Advisor: Prof. Hongkai Wang

> View Dissertation    > View Slides

Experience

Research Internship Jan.2018-July. 2018

Centre Hospitalier de l’Université de Montréal

Department: Laboratoire clinique de traitement de l’image (LCTI)

Projects: Predictive model of colorectal cancer liver metastases response to chemotherapy

Joint collaboration: Imagia and MILA

Research Technologist Sep.2016-Present

Arizona State University

Department: Biomedical Informatics

Projects: Colonoscopy Frame Classification, Polyp Detection, Pulmonary Embolism Detection, Carotid Intima-Media Thickness Measurement

Joint collaboration: Mayo Clinic, Arizona

Internship June.2017-Jul.2017

Mayo Clinic, Rochester MN

Department: Radiology Informatics Lab

Projects: Thyroid Ultrasound Imaging, Tumor Radiogenomics

 

Journal Publications

Medical Image Analysis

AFT*: Active Fine Tuning of Convolutional Neural Networks for Reducing Annotation Efforts

Authors: Zongwei Zhou, Jae Shin, Suryakanth Gurudu, Michael B. Gotway, Jianming Liang

Under Review

Transactions on Medical Imaging

UNet++: Redesigning Skip Connections to Exploit Multi-Resolution Features in Image Segmentation

Authors: Zongwei Zhou, Md Mahfuzur Rahman Siddiquee, Nima Tajbakhsh, Jianming Liang

> View Publication   > View Code

Journal of Digital Imaging

Integrating Active Learning and Transfer Learning for Carotid Intima-Media Thickness Video Interpretation

Authors: Zongwei Zhou, Jae Shin, Ruibin Feng, R. Todd Hurst, Christopher B. Kendall, Jianming Liang

> View Publication

Journal of Zhejiang University (Engineering Science)

Evaluation of machine learning classifiers for diagnosing mediastinal lymph node metastasis of lung cancer from PET/CT images

Authors: Hongkai Wang, Zhonghua Chen, Zongwei Zhou, Yingci Li, Peiou Lu, Wenzhi Wang, Wanyu Liu, Lijuan Yu

> View Publication

 

EJNMMI Research

Comparison of machine learning methods for classifying mediastinal lymph node metastasis of non-small cell lung cancer from 18F-FDG PET/CT images

Authors: Hongkai Wang, Zongwei Zhou, Yingci Li, Zhonghua Chen, Peiou Lu, Wenzhi Wang, Wanyu Liu, Lijuan Yu

> View Publication

Conference Publications

ICCV 2019

Learning Fixed Points in Generative Adversarial Networks: From Image-to-Image Translation to Disease Detection and Localization

Authors: Md Mahfuzur Rahman Siddiquee, Zongwei Zhou, Ruibin Feng, Nima Tajbakhsh, Michael Gotway, Yoshua Bengio, Jianming Liang

> View Publication   > View Code   > View Poster

MICCAI 2019

Models Genesis: Generic Autodidactic Models for 3D Medical Image Analysis

Authors: Zongwei Zhou, Vatsal Sodha, Md Mahfuzur Rahman Siddiquee, Ruibin Feng, Nima Tajbakhsh, Michael Gotway, Jianming Liang

Young Scientist Award

> View Publication   > View Code   > View Slides   > View Poster   > View Talk

DLMIA 2018

UNet++: A Nested U-Net Architecture for Medical Image Segmentation

Authors: Zongwei Zhou, Md Mahfuzur Rahman Siddiquee, Nima Tajbakhsh, Jianming Liang

> View Publication   > View Code   > View Slides   > View Poster   > View Talk

CVPR 2017

Fine-tuning Convolutional Neural Networks for Biomedical Image Analysis: Actively and Incrementally

Authors: Zongwei Zhou, Jae Shin, Lei Zhang, Suryakanth Gurudu, Michael Gotway, Jianming Liang

> View Publication   > View Code   > View Slides   > View Poster

arXiv Preprints & Abstracts

arXiv Preprints

Frequency of Rational Fractions on [0, 1] 

Authors: Zongwei Zhou, Dawei Lu

> View Publication 

SIIM C-MIMI 2017

A Preliminary Study of Using Machine Learning to Reduce Biopsies of Thyroid Nodules Based on Ultrasound Images

Authors: Zongwei Zhou, Zeynettin Akkus, Mellissa S. Warner, Marius N. Stan, Jianming Liang, Bradley J. Erickson

> View Publication  

Integrating Active Learning and Transfer Learning for Carotid Intima-Media Thickness Video Interpretation

Authors: Zongwei Zhou, Jae Shin, R. Todd Hurst, Christopher B. Kendall, Jianming Liang

> View Publication

Fully Automated IDH Mutation Prediction in MRI Utilizing Deep Learning

Authors: Panagiotis D. Korfiatis, Zongwei Zhou, Jianming Liang, Bradley J. Erickson

> View Publication

WCOG 2017

Gastroenterology Fellow-Level Performance on Colonoscopy
Frame Classification with Deep Neural Networks

Authors: Lei Zhang, Zongwei Zhou, Hassan Siddiki, Naveen Sai Madiraju, Francisco C Ramirez, Suryakanth R. Gurudu, Jianming Liang

> View Publication

US Patents

Models Genesis: Generic Autodidactic Models for 3D Medical Image Analysis

Inventors: Zongwei Zhou, Vatsal Sodha, Md Mahfuzur Rahman Siddiquee, Ruibin Feng, Nima Tajbakhsh, Michael Gotway, Jianming Liang

Tech Id: M19-252LC

Learning Fixed Points in Generative Adversarial Networks: From Image-to-Image Translation to Disease Detection and Localization

Inventors: Md Mahfuzur Rahman Siddiquee, Zongwei Zhou, Ruibin Feng, Nima Tajbakhsh, Michael Gotway, Yoshua Bengio, Jianming Liang

Tech Id: M19-117L

UNet++: Redesigning Skip Connections to Exploit Multi-Resolution Features in Image Segmentation

Inventors: Zongwei Zhou, Md Mahfuzur Rahman Siddiquee, Nima Tajbakhsh, Jianming Liang

Tech Id: M19-189LC

Nested Ensemble of Convolutional Neural Nets for Medical Image Segmentation

Inventors: Zongwei Zhou, Md Mahfuzur Rahman Siddiquee, Nima Tajbakhsh, Jianming Liang

Tech Id: M18-196L

AFT*: Active Fine Tuning of Convolutional Neural Networks for Reducing Annotation Efforts

Inventors: Zongwei Zhou, Jae Shin, Suryakanth Gurudu, Michael B. Gotway, Jianming Liang

Tech Id: M19-194L

Integrating active learning and transfer learning for cutting annotation cost

Inventors: Zongwei Zhou, Jae Shin, Suryakanth Gurudu, Michael B. Gotway, Jianming Liang

Tech Id: M17-151L

Fine-tuning convolutional neural networks for biomedical image analysis: Actively and incrementally

Inventors: Zongwei Zhou, Jae Shin, Suryakanth Gurudu, Michael B. Gotway, Jianming Liang

US Provisional 62/491,069, 4/27/2017. Tech Id: M17-129L

Invited Talks and Blogs

Invited Talks

三维迁移学习

Venue: AI 研习社 @ Oct 24, 2019

> View Blog    > View Slides    > View Talk   

Models Genesis

Venue: MICS Webinar @ Sep 24, 2019

> View Slides    > View Talk    

从人工到智能

Host: 我武生物科技 @ Dec 26, 2018

> View Blog    > View Slides

研习U-Net

Venue: AI 研习社 @ Sep 18, 2018

> View Blog    > View Slides    > View Talk

How to Cut Annotation Cost in Biomedical Imaging

Venue: Centre Hospitalier de l’Université de Montréal @ May 22, 2018

> View Slides

Hot Posts

Active Learning: 一个降低深度学习时间,空间,经济成本的解决方案

Modified: May 4, 2017

> View Blog   

简易的深度学习框架Keras代码解析与应用

Modified: April 7, 2016

> View Blog

我看AlexNet

Modified: May 4, 2016

> View Blog

Keras深度学习框架配置

Modified: April 2, 2016

> View Blog

 

深度网络的过拟合问题讨论

Modified: Aug 13, 2016

> View Blog

想申请美国博士的看过来!

Modified: May 23, 2017

> View Blog   

 

Travel

The western USA

美西15日自驾游攻略

Modified: July 1, 2017

> View Blog

Cambodia

柬埔寨旅游攻略

Modified: Feb 5, 2016

> View Blog

Zongwei Zhou · 周纵苇

Ph.D. Student, Biomedical Informatics,

Arizona State University 

Open for Summer Internship, May-August, 2020