Zu-hua Gao

Full Professor, Pathology and Laboratory Medicine, University of British Columbia

Joined

November 2023

Names

Zu-hua Gao (Preferred)

Emails

****@ubc.ca (Confirmed)

Personal Links

Google Scholar

DBLP

Career & Education History

Full Professor

Pathology and Laboratory Medicine, University of British Columbia (ubc.ca)

2021 – Present

Full Professor

Pathology, McGill University (mcgill.ca)

2012 – 2021

Full Professor

Pathology and Laboratory Medicine, University of Calgary (ucalgary.ca)

2010 – 2012

Associate Professor

Pathology and Laboratory Medicine, University of Calgary (ucalgary.ca)

2007 – 2010

Assistant Professor

Pathology and Laboratory Medicine, University of Calgary (ucalgary.ca)

2003 – 2007

Advisors, Relations & Conflicts

PhD Advisee

zhenwei ma

2021 – Present

Expertise

Cancer pathology

2006 – Present

Transplantion immunology

1986 – 2005

Publications

Machine intelligence-driven classification of cancer patients-derived extracellular vesicles using fluorescence correlation spectroscopy: results from a pilot study
Abicumaran Uthamacumaran, Mohamed Abdouh, Kinshuk Sengupta, Zu-hua Gao, Stefano Forte, Thupten Tsering, Julia V. Burnier, Goffredo Arena
- Published: 01 Jan 2023, Last Modified: 05 Nov 2023
- Neural Comput. Appl. 2023
- Readers: Everyone
Machine learning characterization of cancer patients-derived extracellular vesicles using vibrational spectroscopies: results from a pilot study
Abicumaran Uthamacumaran, Samir Elouatik, Mohamed Abdouh, Michael Berteau-Rainville, Zu-hua Gao, Goffredo Arena
- Published: 01 Jan 2022, Last Modified: 05 Nov 2023
- Appl. Intell. 2022
- Readers: Everyone
Machine Intelligence-Driven Classification of Cancer Patients-Derived Extracellular Vesicles using Fluorescence Correlation Spectroscopy: Results from a Pilot Study
Abicumaran Uthamacumaran, Mohamed Abdouh, Kinshuk Sengupta, Zu-hua Gao, Stefano Forte, Thupten Tsering, Julia V. Burnier, Goffredo Arena
- Published: 01 Jan 2022, Last Modified: 05 Nov 2023
- CoRR 2022
- Readers: Everyone
A Deep Learning-Based Pipeline for Celiac Disease Diagnosis Using Histopathological Images
Farhad Maleki, Kevin Cote, Keyhan Najafian, Katie L. Ovens, Yan Miao, Rita Zakarian, Caroline Reinhold, Reza Forghani, Peter Savadjiev, Zu-hua Gao
- Published: 01 Jan 2021, Last Modified: 05 Nov 2023
- CAIP (1) 2021
- Readers: Everyone

Zu-hua Gao

Names

Emails

Personal Links

Career & Education History

Advisors, Relations & Conflicts

Expertise

Publications

Machine intelligence-driven classification of cancer patients-derived extracellular vesicles using fluorescence correlation spectroscopy: results from a pilot study

Machine learning characterization of cancer patients-derived extracellular vesicles using vibrational spectroscopies: results from a pilot study

Machine Intelligence-Driven Classification of Cancer Patients-Derived Extracellular Vesicles using Fluorescence Correlation Spectroscopy: Results from a Pilot Study

A Deep Learning-Based Pipeline for Celiac Disease Diagnosis Using Histopathological Images

Co-Authors