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Minh Nhat Trinh holds a Bachelor's degree in Automation and Control Engineering (2017, excellent grade, top 1% graduation) and a Master's degree in Automation and Control Engineering (2021, very good grade) from the Hanoi University of Science and Technology (Vietnam). He has published 11 scientific articles, including 8 conference proceedings, 3 Q1 journal. He has received several honors and awards for academic achievements. He is currently a AI Research Fellowship at the Quantitative Bio-Imaging Lab, Centro de Ciências do Mar (CCMAR) under the supervision of Dr. Teresa Correia and Dr. Anna Kreshuk (EMBL), working as part of the EU-funded IMAGINE project focused on integrating new imaging technologies for studying biological specimens. His work involves developing deep learning-based image reconstruction, processing, and analysis software tools for modalities like lightsheet microscopy, optical projection tomography, X-ray, CT and MRI; with key goals of publishing research, presenting findings, deploying methods as plugins, and pursuing PhD funding in this interdisciplinary field combining AI and cutting-edge imaging for investigating biological structures. Keyword: Artificial Intelligence, Image Processing, Medical Imaging, Computer Vision, Signal Processing, Image Reconstruction.
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Identificação

Identificação pessoal

Nome completo
Minh Nhat Trinh

Nomes de citação

  • Minh-Nhat, Trinh

Identificadores de autor

Ciência ID
1119-2A8A-5086
ORCID iD
0000-0002-4154-5256

Endereços de correio eletrónico

  • ntminh@ualg.pt (Profissional)
  • ntminh@ualg.pt (Pessoal)
  • minhnhattrinh312@gmail.com (Pessoal)

Telefones

Telemóvel
  • (+351) 920366496 (Profissional)

Websites

Domínios de atuação

  • Ciências da Engenharia e Tecnologias - Engenharia Eletrotécnica, Eletrónica e Informática - Automação e Sistemas de Controlo
  • Ciências da Engenharia e Tecnologias - Engenharia Eletrotécnica, Eletrónica e Informática - Engenharia Eletrotécnica e Eletrónica
  • Ciências da Engenharia e Tecnologias - Engenharia Eletrotécnica, Eletrónica e Informática - Robótica

Idiomas

Idioma Conversação Leitura Escrita Compreensão Peer-review
Vietnamita (Idioma materno)
Inglês Utilizador independente (B2) Utilizador proficiente (C2) Utilizador independente (B2) Utilizador independente (B2) Utilizador independente (B2)
Formação
Grau Classificação
2021/10/14 - 2023/12/15
Concluído
 Electrical Engineering (Master)
Especialização em Automation and Control Engineering
Hanoi University of Science and Technology, Vietname
"Research on Application of Deep Learning approach in Multi-classes Segmentation for Medical Images" (TESE/DISSERTAÇÃO)
 3.74/4.00 - 9.02/10.00 - Very good Grade
2017/08/18 - 2021/08/20
Concluído
 Electrical Engineering (Bachelor)
Especialização em Automation and Control Engineering
Hanoi University of Science and Technology, Vietname
"Research on Application of Deep Learning in 3D Segmentation for Infant Brain from Magnetic Resonance Imaging" (TESE/DISSERTAÇÃO)
 3.62/4.00 - 9.05/10.00 - Excellent Grade
Percurso profissional

Ciência

Categoria Profissional
Instituição de acolhimento 		Empregador
2024/07/01 - Atual Investigador (Investigação) Universidade do Algarve Centro de Ciências do Mar, Portugal
Universidade do Algarve Centro de Ciências do Mar, Portugal
2019/08/01 - 2024/03/01 Assistente de Investigação (carreira) (Investigação) Hanoi University of Science and Technology Department of Automatic Control, Vietname
Hanoi University of Science and Technology, Vietname
2022/07/01 - 2023/12/01 Assistente de Investigação (carreira) (Investigação) Vingroup Big Data Institute, Vietname
Vingroup Big Data Institute, Vietname
Projetos

Bolsa

Designação Financiadores
2024/07/01 - Atual IMAGINE
GA#101094250
Bolseiro de Investigação
Universidade do Algarve Centro de Ciências do Mar, Portugal

European Molecular Biology Laboratory, Alemanha
European Molecular Biology Laboratory
Em curso
2022/12/14 - 2023/12/14 (NAFOSTED) Research and develop Deep Learning models for Medical Image Segmentation
102.05-2021.34
Bolseiro de Mestrado
National Foundation for Science and Technology Development, Vietname
 National Foundation for Science and Technology Development
Concluído
2021/08/01 - 2022/09/02 (VinIF) Postgraduate Scholarships Program for domestic Master and Doctoral training
VINIF. 2021.ThS.33
Bolseiro de Mestrado
Vingroup Innovation Foundation, Vietname

Hanoi University of Science and Technology, Vietname
Vingroup Innovation Foundation
Concluído
2018/01/01 - 2021/11/23 (NAFOSTED) Research and development of an active contour method based on level sets in segmentation and analysis of medical images
102.05-2018.302
Bolseiro de Investigação
National Foundation for Science and Technology Development, Vietname
 National Foundation for Science and Technology Development
Concluído
2021/01/01 - 2021/07/30 (HUST) Develop Medical Image Segmentation algorithms using Deep Learning techniques
T2021-PC-005
Bolseiro de Mestrado
Hanoi University of Science and Technology, Vietname
 Hanoi University of Science and Technology
Concluído
2020/01/30 - 2020/06/30 (HUST) Develop algorithms for processing electrocardiographic signals
T2020-PC-017
Bolseiro de Investigação
Hanoi University of Science and Technology, Vietname
 Hanoi University of Science and Technology
Concluído

Projeto

Designação Financiadores
2022/06/01 - 2023/10/30 VinGroup AI Engineer training program
Course 2, phase 2
Bolseiro de Investigação
Vingroup Big Data Institute, Vietname
 Vingroup Big Data Institute
Concluído
Produções

Publicações

Artigo em conferência
  1. Trinh, M.-N.; Pham, V.-T.; Tran, T.-T.. "A Deep Learning-Based Approach with Semi-supervised Level Set Loss for Infant Brain MRI Segmentation". 2023.
    10.1007/978-981-19-2840-6_41
  2. Minh-Nhat, Trinh; Nham, Do-Hai-Ninh; Pham, Van-Truong; Tran, Thi-Thao. "An Attention-PiDi-UNet and Focal Active Contour loss for Biomedical Image Segmentation". Trabalho apresentado em RIVF International Conference on Computing and Communication Technologies, 2022.
    Publicado • 10.1109/rivf55975.2022.10013852
  3. Nham, Do-Hai-Ninh; Nguyen, Viet-Dung; Minh-Nhat, Trinh; Pham, Van-Truong; Tran, Thi-Thao. Autor correspondente: Minh-Nhat, Trinh. "A New LCFCN-based Approach for Weakly-Supervised Fish Segmentation". Trabalho apresentado em NAFOSTED Conference on Information and Computer Science, 2022.
    Publicado • 10.1109/nics56915.2022.10013406
  4. Minh-Nhat, Trinh; Nhu-Toan, Nguyen; Thi-Thao Tran; Van-Truong Pham. "A Semi-supervised Deep Learning-Based Approach with Multiphase Active Contour Loss for Left Ventricle Segmentation from CMR Images". Trabalho apresentado em International Conference on Sustainable Computing, 2022.
    Publicado • https://doi.org/10.1007/978-981-16-4538-9_2
  5. Trinh, M.-N.; Nguyen, N.-T.; Tran, T.-T.; Pham, V.-T.. "A Deep Learning-Based Approach with Image-Driven Active Contour Loss for Medical Image Segmentation". 2022.
    10.1007/978-981-16-5120-5_1
  6. Do-Hai-Ninh Nham; Minh-Nhat, Trinh; Tran, Tien-Thanh; Pham, Van-Truong; Tran, Thi-Thao. Autor correspondente: Minh-Nhat, Trinh. "A modified FCN-based method for Left Ventricle endocardium and epicardium segmentation with new block modules". Trabalho apresentado em NAFOSTED Conference on Information and Computer Science, 2021.
    Publicado • 10.1109/nics54270.2021.9701571
Artigo em revista
  1. Trinh, Minh-Nhat; Tran, Thi-Thao; Nham, Do-Hai-Ninh; Lo, Men-Tzung; Pham, Van-Truong. "GLAC-Unet: Global-Local Active Contour Loss with an Efficient U-Shaped Architecture for Multiclass Medical Image Segmentation". Journal of Imaging Informatics in Medicine (2025): https://doi.org/10.1007/s10278-025-01387-9.
    10.1007/s10278-025-01387-9
  2. Kien Xuan Ngo; Huong T Vu; Kenichi Umeda; Minh-Nhat Trinh; Noriyuki Kodera; Taro Uyeda. "Deciphering the actin structure-dependent preferential cooperative binding of cofilin". eLife (2024): https://doi.org/10.7554/eLife.95257.3.
    10.7554/eLife.95257.3
  3. Do-Hai-Ninh Nham; Minh-Nhat Trinh; Viet-Dung Nguyen; Van-Truong Pham; Thi-Thao Tran. "An EffcientNet-encoder U-Net Joint Residual Refinement Module with Tversky–Kahneman Baroni–Urbani–Buser loss for biomedical image Segmentation". Biomedical Signal Processing and Control (2023): https://doi.org/10.1016/j.bspc.2023.104631.
    10.1016/j.bspc.2023.104631
Capítulo de livro
  1. Nham, Do-Hai-Ninh; Trinh, Minh-Nhat; Pham, Van-Truong; Tran, Thi-Thao. "Tversky-Kahneman: A New Loss Function for Skin Lesion Image Segmentation". In Proceedings of International Conference on Data Science and Applications, 187-199. Singapura: Springer Nature Singapore, 2023.
    10.1007/978-981-19-6631-6_14
  2. Nguyen, N.-T.; Trinh, M.-N.; Tran, T.-T.; Pham, V.-T.. "Refining Skip Connections by Fusing Multi-scaled Context in Neural Network for Cardiac MR Image Segmentation". 47-57. 2021.
    10.1007/978-3-030-76620-7_4
Resumo em conferência
  1. Santinha, Joao; Minh-Nhat, Trinh; Correia, Teresa. "End-to-end AI assessment of myocardial viability: a deep learning and radiomics pipeline for reproducible and automated evaluation of myocardial infarction and microvascular obstruction". Trabalho apresentado em 20th European Molecular Imaging Meeting (EMIM). Annual meeting of the European Society for Molecular Imaging (ESMI), Bilbao, Spain (2025), 2025.
    Aceite para publicação
  2. Santinha, Joao; Minh-Nhat, Trinh; Correia, Teresa. "Combining deep learning and radiomics for a fully automated and reproducible assessment of myocardial viability". Trabalho apresentado em 33rd International Society for Magnetic Resonance in Medicine (ISMRM), Honolulu, Hawaii, USA (2025), 2025.
    Aceite para publicação
Atividades

Participação em evento

Descrição da atividade
Tipo de evento 		Nome do evento
Instituição / Organização
2025/02/25 - 2025/02/26 Collaborated in carrying out activities organized within the scope of the Open Days, which took place at the University of Algarve
Seminário
Centro de Estudos e Formação Avançada em Gestão e Economia - Pólo da Universidade do Algarve, Portugal

Revisão ad hoc de artigos em revista

Nome da revista (ISSN) Editora
2025/03/16 - 2025/03/16 Discover Artificial Intelligence (2731-0809) Cham: Springer
Distinções

Prémio

2023 Third Prize in Science-a-thon of the 10th Vietnam Summer School of Science (10th VSSS'23)
The Vietnam School of Science, Vietname
2022 Honda-YES Scholarship
Honda Global, Japão

Honda Vietnam, Vietname
2021 VinIF Scholarship for domestic Master and Doctoral training
Vingroup Innovation Foundation, Vietname
2021 Third Prize Scientific Research Student Award
Hanoi University of Science and Technology, Vietname
2018 The AES Scholarship
Hanoi University of Science and Technology, Vietname

AES Mong Duong Power Company Limited, Vietname
2017 Consolation Prize of Vietnam Mathematics Olympiad
Vietnamese Ministry of Education and Training, Vietname
2016 The Odon Vallet Scholarship
Vallet Foundation, Vietname
2016 Third Prize in The International Tournament of Towns (ITOT) Math Contest
Vietnamese Ministry of Education and Training, Vietname

Russian Ministry of Education and Training, Rússia
2016 Third Prize of Vietnam Mathematics Olympiad
Vietnamese Ministry of Education and Training, Vietname

Título

2023 Selected to participate in The 10th Vietnam Summer School of Science (10th VSSS'23)
The Vietnam School of Science, Vietname
2022 Selected to participate in The Pre-PhD Summer School 2022
Vin University, Vietname

Vingroup Big Data Institute, Vietname