Huyen Trang Nguyen

Research Engineer in Ai for Medical Application @Inria

Sophia Antipolis, FR

IMPROVING THE ROBUSTNESS OF CANCER DETECTION MODELS IN MEDICAL IMAGING STUDIESThe goal of the project consists of studying novel approaches to quantify and correct data heterogeneity in medical imaging studies, to lead to robust and representative models for automatic diagnosis of pathological conditions. Specific focus will be given to the definition of novel robust approaches for tumour modeling and segmentation based on the analysis of CT and FDG-PET imaging data.The first progress of the project focuses on developing deep learning methods (Variational Autoencoders, Graph Neural Networks, Statistical Shape Analysis) to detect abnormal organ segmentations in medical images (MRI and CT scans).Authored scientific publications and presentations in the following links

Imperial College London

Coursera online course, Mathematics for Machine Learning: Multivariate Calculus

Stanford University

Cousera online course, Machine Learning

Université Côte d'Azur

DUEF C1 (Diplôme Universitaire d'Etudes Françaises)

Hanoi National University of Education

Bachelor's degree, Mathematics and Informatics Education

University of Michigan

Coursera online course, Applied Machine Learning in Python

Grenoble IAE

Master's degree, Advances in Finance and Accounting

University of Michigan

Cousera online course, Introduction to Data Science in Python

Imperial College London

Coursera online course, Mathematics for Machine Learning: Linear Algebra

Université Côte d'Azur

MSC, Data Science and Artificial Intelligence