Tri-Thien Nguyen
Dr. Tri-Thien Nguyen, M. Sc.
Researcher
Martensstr. 3
91058 Erlangen
Department of Computer Science Chair of Computer Science 5 (Pattern Recognition)
Martensstr. 3
91058 Erlangen
- Email: tri-thien.nguyen@fau.de
- Website: https://lme.tf.fau.de/person/ttnguyen
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
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Detection of femoropopliteal arterial steno-occlusion at MR angiography: initial experience with artificial intelligence
In: European Radiology Experimental 8 (2024), Article No.: 30
ISSN: 2509-9280
DOI: 10.1186/s41747-024-00433-5
BibTeX: Download
Conference Contributions
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Privacy-enhancing Image Sampling for the Synthesis of High-quality Anonymous Chest Radiographs
German Conference on Medical Image Computing, BVM 2024 (Erlangen, March 10, 2024 - March 12, 2024)
In: Andreas Maier, Thomas M. Deserno, Heinz Handels, Klaus Maier-Hein, Christoph Palm, Thomas Tolxdorff (ed.): Bildverarbeitung für die Medizin 2024. BVM 2024, Wiesbaden: 2024
DOI: 10.1007/978-3-658-44037-4_12
BibTeX: Download
2023
Conference Contributions
- , , , :
Detection of Arterial Occlusion on Magnetic Resonance Angiography of the Thigh using Deep Learning
Bildverarbeitung für die Medizin Workshop, BVM 2023 (Braunschweig, July 2, 2023 - July 4, 2023)
In: Thomas M. Deserno, Heinz Handels, Andreas Maier, Klaus Maier-Hein, Christoph Palm, Thomas Tolxdorff (ed.): Informatik aktuell 2023
DOI: 10.1007/978-3-658-41657-7_60
BibTeX: Download
2015
Journal Articles
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Hypodense liver lesions in patients with hepatic steatosis: do we profit from dual-energy computed tomography?
In: European Radiology 25 (2015), p. 3567-3576
ISSN: 0938-7994
DOI: 10.1007/s00330-015-3772-6
BibTeX: Download
Awards
Young Investigator Award: Anton Fink Science Prize for Artificial Intelligence 2023
Thesis Supervision
| Type | Title | Status |
|---|---|---|
| MA thesis | LLM-Centric Framework for Ontology-Driven SPARQL Query Generation in RAG for DICOM Databases | running |