Short Bio

Yamil Vindas is a third year PhD student at the Biomedical Imaging Research lab CREATIS in Lyon (France). His current research focuses on deep learning methods applied to the medical field, with particular interest in semi-supervised learning approaches for data annotation, classification and characterization of transcranial Doppler monitoring signals for stroke prevention.

Research Interests

Deep Learning, Machine Learning, Semi-supervised learning, Artificial Intelligence, Medical Imaging, Model Compression.

Publications

Journal

• Vindas, Y., Guépié, B.K., Almar, M., Roux, E., and Delachartre, P., 2022. Semi-automatic data annotation based on feature-space projection and local quality metrics: an application to cerebral emboli characterization, in Medical Image Analysis, page 102437, 2022. ISSN 1361-8415. doi: https://doi.org/10.1016/j.media.2022.102437.  URL     https://www.sciencedirect.com/science/article/pii/S1361841522000883 .

• Vindas, Y., Roux, E., Guépié, B.K., Almar, M., and Delachartre, P., 2023. Guided deep embedded clustering regularization for multifeature medical signal classification, in Pattern Recognition (minor revision).

Conference

• Vindas, Y., Roux, E., Guépié, B.K., Almar, M.,  Delachartre, P., 2021. Semi-supervised annotation of transcranial Doppler ultrasound micro-embolic data, in: 2021 IEEE International Ultrasonics Symposium (IUS), pp. 1–4. doi:10.1109/IUS52206.2021.9593847. 

• Vindas, Y., Guépié, B.K., Almar, M., Roux, E., and Delachartre, P., 2022. An hybrid CNN-Transformer model based on multi-feature extraction and attention fusion mechanism for cerebral emboli classification,  in: MLHC. 05–06 Aug 2022, PMLR.

• Vindas, Y., Roux, E., Guépié, B.K., Almar, M.,  Delachartre, P., 2022 Deep Embedded Clustering regularization for imbalanced cerebral emboli classification using transcranial Doppler ultrasound, Submitted

• Vindas, Y., Guépié, B.K., Almar, M., Roux, E., and Delachartre, P., 2023. Classification multi-représentation d'emboles cérébraux à partir d'un dispositif de Doppler transcrânien. in:2023 Intelligence Artificielle en Imagerie Biomédicale (IABM).

• Vindas, Y., Guépié, B.K., Almar, M., Roux, E.,  Delachartre, P., 2023. Soft-labels noise tolerant loss functions for transcranial Doppler ultrasound signal classification, in: 2023 IEEE International Ultrasonics Symposium (IUS) (accepted). 

Teaching

• 2020-2023: Mathematical and Software Tools 1, IUT Gratte Ciel Lyon 1 (first year students).

• 2020-2022: Algorithmics and Programming, INSA Lyon (second year students).

• 2022-2023: Data Science, Faculté Médecine Lyon Est (first year students).

• 2021 and 2022: Deep Learning for Medical Imaging School (hands-on sessions).

• Representative of Ph.D students of CREATIS at the computer science federation of Lyon (FIL).

Contact

CREATIS Laboratory, 21 Av. Jean Capelle O, 69100 Villeurbanne, FRANCE.

Email: yamil(dot)vindas(at)creatis.insa-lyon.fr