Teaching and supervising activities

Teaching

[2024-curr] Medical image segmentation. Master in Medical Image Applications, MAIA (Inter-university, coordinated by UdG). Role: teaching assistant. 6 credits.

[2024-curr] Tools for Neuroscience and Neuroimaging. Master in Health Data Science, MHEDAS (Inter-university, coordinated by URV). Role: coordinator. 1.5 credits

[2024-curr] Neuroscience and neuroimaging. Grau en Engineyria Biomèdica (UdG). Role: coordinator. 2.5 credits

[2020-curr] Linear Algebra. Grau en Ciència de Dades (UOC). Role: teaching. 6 credits/semester.

[2023-2024] ETC-II: Computer architecture and technology II. Grau en Enginyeria informàtica (UdG). Role: teaching. 7.2 credits.

[2020-2021] Machine learning in Medical Imaging. BSc. in biomedical engineering (UCL). Role: guest lecturer.

[2017] Deep learning. Master Universitari en Enginyeria de Telecomunicació (UPC). Role: teaching assistant. 7 hours in total

[2017-2019] Signals and systems. Grau en Enginyeria de Tecnologies i serveis de telecomunicació (UPC). Role: teaching assistant. 60h in total

[2016-2018] Digital image and video processing. Grau en Enginyeria de Sistemes Audiovisuals (UPC). Role: teaching assistant. 60h in total.

[2015] Speech signal processing. MSc. in signal processing (KTH). Role: teaching assistant. 3 credits.

Supervised Master thesis

[2024] Clara Lisazo. Brain age estimation from MRI images

[2023] Marc Salat. Organization of large scale neuroimaging datasets following the BIDS protocol: an application to the ADNI study

[2018] Clara Bonnín. Brain lesion segmentation using Convolutional Neuronal Networks

Supervised Bachelor thesis

[2023] Lluís Pellicer. Automatic segmentation of regions of interest in vaginal brachytherapy

[2017] David Rodríguez. Extracción de cráneo en imágenes de resonancia magnética del cerebro utilizando una red neuronal convolucional 3D

[2016] Marcel Catà. Feature selection methods for predicting pre-clinical stage in Alzheirmer’s Disease