yatiris++: AI for clinical applications

Artificial intelligence is a cutting edge area in computer science that has recently been incorporated to medical imaging problems. However, most of the technological solutions associated to this field are usually developed in developed countries and subsequently bought by ours.

This project aims to develop novel AI techniques to solve medical imaging and biomedical engineering problems. To this end, we will introduce novel methods for image analysis based on machine/deep learning that will improve and/or complement current existing developments from Yatiris, the medical imaging group from PLADEMA Institute (UNICEN, Tandil, Argentina). Our purpose is to develop solution for key applications in medical personel training, clinical research, diagnostic, treatment and following of ophthalmological, vascular and neurological diseases. By the end of this project, we aim to count with sufficiently mature tools to be transfered to different medical institutions from Argentina.

PIs: Ignacio Larrabide, PhD and José Ignacio Orlando, PhD (CONICET / PLADEMA-UNICEN)

Collaborators:

  • Alejandro Díaz, MD - CONICET / Facultad de Ciencias de la Salud, UNICEN, Olavarría, PBA, Argentina.
  • Delfina Braggio, Eng - CONICET / PLADEMA-UNICEN, Tandil, PBA, Argentina.
  • Hernán Külsgaard, Eng - CONICET / PLADEMA-UNICEN, Tandil, PBA, Argentina.
  • Camila García, Eng - CONICET / PLADEMA-UNICEN, Tandil, PBA, Argentina.
  • Santiago Vitale, Eng - CONICET / PLADEMA-UNICEN, Tandil, PBA, Argentina
  • Leandro Rocamora, MSc - PLADEMA-UNICEN, Tandil, PBA, Argentina
  • Mercedes Leguía, MD - Hospital de Alta Complejidad El Cruce Dr. Néstor Carlos Kirchner, Florencio Varela, PBA, Argentina.
  • Alejandro Koch, MD - Hospital de Alta Complejidad El Cruce Dr. Néstor Carlos Kirchner, Florencio Varela, PBA, Argentina.
  • Ezequiel Rosendi, MD - Hospital de Alta Complejidad El Cruce Dr. Néstor Carlos Kirchner, Florencio Varela, PBA, Argentina.
  • Oliver Gamondi, MD - Fisiología, Facultad de Ciencias de la Salud, UNICEN, Olavarría, PBA, Argentina.
  • Mariana Bendersky, MD PhD - CONICET / ENyS / UBA / Hospital de Alta Complejidad El Cruce Dr. Néstor Carlos Kirchner, Florencio Varela, PBA, Argentina.
  • Mariana Vallejo Azar, MD - CONICET / ENyS / UBA / Hospital de Alta Complejidad El Cruce Dr. Néstor Carlos Kirchner, Florencio Varela, PBA, Argentina.
  • Juan Pablo Princich, MD PhD - ENyS / Hospital de Alta Complejidad El Cruce Dr. Néstor Carlos Kirchner, Florencio Varela, PBA, Argentina.
  • Paula González, PhD - CONICET / ENyS / Hospital de Alta Complejidad El Cruce Dr. Néstor Carlos Kirchner, Florencio Varela, PBA, Argentina.
  • Silvia Kochen, MD PhD - CONICET / ENyS / Hospital de Alta Complejidad El Cruce Dr. Néstor Carlos Kirchner, Florencio Varela, PBA, Argentina.

Supported by:

  • Kaggle Open Data Research Grant.
  • NVIDIA Hardware Grant.
  • PICT 2016-0116. HI-MED: Computational tools applied to medical image quantification, simulation and treatment planning (Herramientas Informáticas aplicadas a la cuanti cación de imagen, simulación y plani cación del tratamiento en MEDicina.)
José Ignacio Orlando
José Ignacio Orlando
Assistant Researcher

My research interests include machine learning and computer vision techniques for medical imaging applications, mostly centered in ophthalmology.

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