Research Incubator: Artificial Intelligence in Health - SemillIAS

Organization profile

Organization profile

OBJECTIVES:

1) To foster the study of different techniques of artificial intelligence (IA) for applying in problems of health systems.

2) To establish solutions in the health and medicine sciences through different IA paradigms.

3) To generate new alternatives in the building the models of IA based on bioinspired systems.

DESCRIPTION:

Semill-IAS seeks to generate spaces for discussion, where problems from medicine and health sciences areas are treat through solutions that come from the area of ​​artificial intelligence. At the same time, throughout the semester students and professionals have a place to share ideas in different fields, trying to consider the IA area as transversal to many sciences.

RESEARCH LINES:

- Biomedical Data Science
- Diagnosis Support Systems
- Machine and Deep Learning
- Natural Language Processing

ACTIVITIES:

- Seminaris about current topics related to artificial intelligence (all weeks)
- Development of final career projects (during the academic period)
- Writing of conference papers (during the academic period)
- Presentations of different works to new students (during the academic period)

Organization profile

OBJECTIVES:

1) To foster the study of different techniques of artificial intelligence (IA) for applying in problems of health systems.

2) To establish solutions in the health and medicine sciences through different IA paradigms.

3) To generate new alternatives in the building the models of IA based on bioinspired systems.

DESCRIPTION:

Semill-IAS seeks to generate spaces for discussion, where problems from medicine and health sciences areas are treat through solutions that come from the area of ​​artificial intelligence. At the same time, throughout the semester students and professionals have a place to share ideas in different fields, trying to consider the IA area as transversal to many sciences.

RESEARCH LINES:

- Biomedical Data Science
- Diagnosis Support Systems
- Machine and Deep Learning
- Natural Language Processing

ACTIVITIES:

- Seminaris about current topics related to artificial intelligence (all weeks)
- Development of final career projects (during the academic period)
- Writing of conference papers (during the academic period)
- Presentations of different works to new students (during the academic period)

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  • 18 Citations
  • 2 h-index
  • 3 Chapter (peer-reviewed)

  • A Conditional Generative Adversarial Network-Based Method for Eye Fundus Image Quality Enhancement

    Pérez, A. D., Perdomo, O., Rios, H., Rodríguez, F. & González, F. A., Nov 20 2020, Ophthalmic Medical Image Analysis - 7th International Workshop, OMIA 2020, Held in Conjunction with MICCAI 2020, Proceedings. Fu, H., Garvin, M. K., MacGillivray, T., Xu, Y. & Zheng, Y. (eds.). Springer Science and Business Media Deutschland GmbH, Vol. 12069. p. 185-194 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12069 LNCS).

    Research output: Chapter in Book/Report/Conference proceeding › Chapter (peer-reviewed) › peer-review

    6 Scopus citations

  • A lightweight deep learning model for mobile eye fundus image quality assessment

    Pérez, A. D., Perdomo Charry, O. J. & González, F. A., Jan 3 2020, 15th International Symposium on Medical Information Processing and Analysis. Romero, E., Lepore, N. & Brieva, J. (eds.). SPIE, 113300K. (Proceedings of SPIE - The International Society for Optical Engineering; vol. 11330).

    Research output: Chapter in Book/Report/Conference proceeding › Chapter (peer-reviewed) › peer-review

    8 Scopus citations

  • Automatic estimation of pose and falls in videos using computer vision model

    Calvache Briceño, D. A., Bernal, H. A., Guarín, J. F., Aguía, K., Orjuela-Cañón, A. D. & Perdomo, O. J., Nov 3 2020, 16th International Symposium on Medical Information Processing and Analysis. Romero, E., Lepore, N., Brieva, J. & Linguraru, M. (eds.). SPIE, 115830W. (Proceedings of SPIE - The International Society for Optical Engineering; vol. 11583).

    Research output: Chapter in Book/Report/Conference proceeding › Chapter (peer-reviewed) › peer-review

    2 Scopus citations