Publicaciones en colaboración con investigadores/as de Universidad de Salamanca (69)

2023

  1. Are Textual Recommendations Enough? Guiding Physicians Toward the Design of Machine Learning Pipelines Through a Visual Platform

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  2. Cardiotoxicity Secondary to Immune Checkpoint Inhibitors in the Elderly: Safety in Real-World Data

    Cancers, Vol. 15, Núm. 17

  3. Clinical and economic outcomes of a systematic same-day discharge programme after pulmonary vein isolation: comparison between cryoballoon vs. radiofrequency ablation

    Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology, Vol. 25, Núm. 9

  4. Editorial commentary: CardioVerse: Buying the stairway to heaven

    Trends in Cardiovascular Medicine

  5. Flexible Heuristics for Supporting Recommendations Within an AI Platform Aimed at Non-expert Users

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  6. Intermediate Molecular Phenotypes to Identify Genetic Markers of Anthracycline-Induced Cardiotoxicity Risk

    Cells, Vol. 12, Núm. 15

  7. LAA Occlusion Technique and Challenging Scenarios

    MASTERING STRUCTURAL HEART DISEASE (WILEY-BLACKWELL), pp. 441-447

  8. Refactoring User Interfaces Through a Data-Driven Framework: a Case Study in the Health Domain

    Proceedings - 2023 49th Latin American Computing Conference, CLEI 2023

  9. Right aortic sinus-to-right atrium fistula: Multimodality imaging and percutaneous closure with a septal occluder device

    Revista Portuguesa de Cardiologia, Vol. 42, Núm. 2, pp. 173-175

  10. Selection of the best of 2022 in percutaneous coronary interventions

    REC: CardioClinics, Vol. 58, pp. S15-S20

  11. Testing and Improvements of KoopaML: A Platform to Ease the Development of Machine Learning Pipelines in the Medical Domain

    Lecture Notes in Educational Technology (Springer Science and Business Media Deutschland GmbH), pp. 210-217