Research output per year
Research output per year
Personal profile
Biography
Juan P. Meneses holds a Ph.D. in Engineering Sciences and specializes in deep learning methodologies and MRI-based image processing. His research focuses on physics-informed and generative models for advancing artificial intelligence in medical imaging, contributing to cutting-edge projects at leading institutions.
He is currently a Lecturer at the Department of Medical Imaging and Radiation Sciences at Monash University, where he is involved in research and teaching in the fields of biomedical imaging and artificial intelligence. His work has been recognized with multiple awards, and he has authored numerous publications in high-impact journals, demonstrating a strong record of academic excellence and scientific contributions.
During his doctoral studies, he was awarded a scholarship from the Agencia Nacional de Investigación y Desarrollo (Chile), which funded his Ph.D. program. In addition to his research activities, he is committed to mentoring and training the next generation of researchers and professionals in biomedical imaging and AI.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Education/Academic qualification
Engineering Sciences, Ph.D., Magnetic resonance imaging-based liver fat quantification using artificial intelligence and signal generation model, Pontificia Universidad Catolica de Chile (Pontifical Catholic University of Chile)
1 Aug 2020 → 6 Mar 2025
Award Date: 6 Mar 2025
Engineering Sciences, B.Sc., Pontificia Universidad Catolica de Chile (Pontifical Catholic University of Chile)
1 Mar 2014 → 14 Oct 2019
Award Date: 14 Oct 2019
External positions
Associate Lecturer, Universidad Tecnológica Metropolitana (Metropolitan University of Technology)
1 Aug 2024 → 31 Dec 2024
Research area keywords
- Magnetic Resonance Imaging (MRI)
- Deep Learning
- physics-informed neural networks
- Generative AI
- Quantitative Image Analysis
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Research output
- 4 Article
-
Unbiased and reproducible liver MRI-PDFF estimation using a scan protocol-informed deep learning method
Meneses, J. P., Qadir, A., Surendran, N., Arrieta, C., Tejos, C., Andia, M. E., Chen, Z. & Uribe, S., May 2025, In: European Radiology. 35, 5, p. 2843-2854 12 p.Research output: Contribution to journal › Article › Research › peer-review
1 Citation (Scopus) -
Assessing Pancreatic Fat and Its Correlation with Liver Fat in Suspected MASLD Patients Using Advanced Deep Learning Techniques from MRI Images
Cherrie Fung, H. C., Meneses, J. P., Surendran, N., Kutaiba, N., George, Y., Makalic, E. & Uribe, S., 2 Dec 2024, In: Applied Sciences. 14, 24, 15 p., 11924.Research output: Contribution to journal › Article › Research › peer-review
Open Access -
Liver PDFF estimation using a multi-decoder water-fat separation neural network with a reduced number of echoes
Meneses, J. P., Arrieta, C., della Maggiora, G., Besa, C., Urbina, J., Arrese, M., Gana, J. C., Galgani, J. E., Tejos, C. & Uribe, S., Sept 2023, In: European Radiology. 33, 9, p. 6557–6568 12 p.Research output: Contribution to journal › Article › Research › peer-review
Open Access4 Citations (Scopus) -
GOFOS, ground optical fog observation system for monitoring the vertical stratocumulus-fog cloud distribution in the coast of the Atacama Desert, Chile
del Río, C., Lobos, F., Siegmund, A., Tejos, C., Osses, P., Huaman, Z., Meneses, J. P. & García, J. L., Jun 2021, In: Journal of Hydrology. 597, 12 p., 126190.Research output: Contribution to journal › Article › Research › peer-review
12 Citations (Scopus)