2024 - Deep learning for volumetric assessment of primary lung cancer on computed tomography

2024 - Deep Learning and Explainability for Multimodal Medical Data

2023/07 - Deep learning to detect coronary artery tortuosity in coronary angiography

2023/07 - Application of federated learning to medical imaging scenarios

2023/05 - Reliable machine learning algorithms for medical imaging

2023/05 - Privacy preserving techniques for data science

2022/09 - pyCANON: A Python library to check the level of anonymity of a dataset

2022/09 - Frouros: A Python library for drift detection in Machine Learning problems

2022/06 - SQAaaS - Ensuring Software, Service and Data quality automatically in open repositories

2020/07 - The ethical and legal issues arising from the implantation of AI systems in the radiological practice

2020/07 - Radiologists in the regulation of the responsibilities of artificial intelligence applied to radiodiagnosis: Let's make it real.

2019/04 - Deep Learning techniques for Satellite data: Atmospheric Corrections

2019/04 - Deep Learning as a Service for Satellite Imagery Super-resolution

2018 - Water quality forecasting system

2013/10 - Experience with a frozen computational framework from LEP age


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