Tri-Thien Nguyen

Dr. Tri-Thien Nguyen, M. Sc.

Researcher

Department of Computer Science Chair of Computer Science 5 (Pattern Recognition)

Martensstr. 3
91058 Erlangen

I am passionate about researching the use of artificial intelligence, particularly large language models (LLMs), in the process of radiological reporting. My goal is to explore how AI can enhance the accuracy and efficiency of radiological diagnostics, ultimately improving patient care.

Academic CV

  • Since 10/2024:
    Researcher at the Pattern Recognition Lab
  • 11/2020 – 09/2024:
    Resident, Institute of Radiology and Neuroradiology
    Klinikum Fürth
  • 10/2020 – 10/2022:
    Student in Medical Engineering (M.Sc.)
    Friedrich-Alexander-Universität Erlangen
    Specialization: Medical image and data processing
    Master’s Thesis: Detection of Arterial Occlusion on MRI Angiography of the Lower Limbs using Deep Learning
  • 04/2018 – 09/2020:
    Student in Medical Engineering (B.Sc.)
    Friedrich-Alexander-Universität Erlangen
    Specialization: Imaging techniques
    Bachelor’s Thesis: Improvement of Image Quality in Limited Angle and Sparse View SPECT using Deep Learning
  • 08/2019:
    PhD in Radiology
    Faculty of Medicine, Ruprecht-Karls-Universität Heidelberg
    Dissertation: Detection of Liver Lesions in Patients with Steatosis Hepatis using Dual Energy CT
  • 07/2017 – 03/2018:
    Resident, Department of Radiology/Neuroradiology
    Sana Kliniken Lübeck
  • 11/2014 – 06/2016:
    Resident, Institute of Diagnostic and Interventional Radiology
    Städtisches Klinikum Karlsruhe
  • 10/2007 – 10/2013:
    Medical Studies
    Ruprecht-Karls-Universität Heidelberg

Publications

2024

Journal Articles

Conference Contributions

2023

Conference Contributions

2015

Journal Articles

Awards

Young Investigator Award: Anton Fink Science Prize for Artificial Intelligence 2023