PhD theses in progress

  1. Marc Balle Sánchez, "Multi-agent systems for robotic control" (co-supervised with Dr. Albert Hernansanz), 2025-2029 (expected).

  2. Enrique Franky Vargas, "Digital twins for the study of insulin resistance" (co-supervised with Dr. Raúl Herance, Vall d'Hebrón Hospital, 2025-2029 (expected).

  3. Marc Molina van den Bosch, “Federated learning for medical image segmentation in heterogeneous distributed settings” (co-supervised with Dr. Luigi Serio, CERN, Switzerland), 2025-2029 (expected).

  4. Francesco Aldo Venturelli, “Quantum machine learning for healthcare” (co-supervised with Dr. Alba Cervera Lierta, Barcelona Supercomputing Center), 2024-2028 (expected).

  5. Khadija Hammawa, “Multi-organ insulinoresistance modelling and analysis through machine learning” (co-supervised with Dr. Raúl Herance, Vall d’Hebrón Hospital), 2024-2028 (expected).

  6. Raquel González López, “Deep learning image analysis and computational simulation for the analysis of perinatal brain development” (co-supervised with Prof. Óscar Cámara), 2024-2028 (expected).

  7. Karen Guldhammer Skov, “Growth trajectory modelling of children’s ear canals using geometric deep learning” (co-supervised with Prof. Rasmus Paulsen, Technical University of Denmark), 2024-2028 (expected).

  8. Rafael Benito Herce, “Computer-assisted simulation for robotic spine surgery” (co-supervised with Dr. Karen López-Linares, Vicomtech and Dr. Davide Scorza, Cyber Surgery S.L.), 2023-2030 (expected).

  9. Xavier Font Aragonés, “Quantum generative models for medical imaging”, 2023-2027 (expected).

  10. Jorge Mateos Arriola, “Paediatric bone growth computational modelling for guided deformity correction” (co-supervised with Prof. Jérôme Noailly and Dr. Carlos Ruiz Wills), 2021-2026 (expected).

  11. Meritxell Riera i Marín, “Abdominal medical image enhancement through deep learning techniques” (co-supervised with Dr. Javier García, Sycai Technologies S.L. and Dr. Adrián Galdrán, Tecnalia), 2021-2026 (expected).

 

Completed PhD theses

  1. Queralt Martín Saladich, “A multi-organ and multi-modal data-driven analysis of metabolic patterns in type 2 diabetes. Unravelling the pathologic mechanisms between organs: the impact of tissue-specific insulin resistance” (co-supervised with Dr. Raúl Herance, Vall d’Hebrón Hospital), 2021-2025.

  2. Valentin Comte, “A deep cascaded, biomechanics-driven framework for medical image registration”, PhD thesis, Universitat Pompeu Fabra (co-supervised with Dr. Mario Ceresa, EU Joint Research Center), 2019-2025.

  3. Sai Natarajan, “High-resolution 3D modelling of lumbar spine from MRI using deep learning”, PhD thesis, Universitat Pompeu Fabra (co-supervised with Dr. Ludovic Humbert, Galgo Medical S.L.), 2021-2024.

  4. Mireia Masias Bruns, “Normalizing flows for neuroimaging research”, PhD thesis, Universitat Pompeu Fabra (co-supervised with Prof. Gemma Piella), 2018-2024.

  5. Mirza Awais Ahmad, “Single orifice and robotic solutions for fetal surgery”, PhD thesis, KU Leuven (co-supervised with Prof. Jan Deprest, KU Leuven, Prof. Emmanuel Vander Poorten, KU Leuven, Prof. Tom Vercauteren, King’s College London and Prof. Elisenda Eixarch, Universitat de Barcelona), 2019-2024.

  6. Morteza Rasouligandomani, “Proximal junctional failure stratification in adult spine surgery using 3D patient-specific finite element models”, PhD thesis, Universitat Pompeu Fabra (co-supervised with Prof. Jérôme Noailly, UPF and Dr. Fabio Galbusera, Schulthess Klinik Zürich, Switzerland), 2018-2023.

  7. Enric Fernández-Velilla Ceprià, “Characteristics and uses of dual-spiral dual-energy CT in radiotherapy of the head and neck”, PhD thesis, Universitat Pompeu Fabra (co-supervised with Prof. Manuel Algara, IMIM - Hospital del Mar, Barcelona), 2018-2023.

  8. Andrea Urru. “Computational image analysis methods for the study of perinatal brain development”, PhD thesis, Universitat Pompeu Fabra (co-supervised with Prof. Gemma Piella), 2017-2022.

  9. Irem Cetin. “Interpretable machine learning through radiomics and attribute-regularized neural networks for cardiology”, PhD thesis, Universitat Pompeu Fabra (co-supervised with Prof. Oscar Camara), 2017-2022.

  10. Enric Perera Bel. “Treatment planning in electroporation-based therapies”, PhD thesis, Universitat Pompeu Fabra (co-supervised with Prof. Antoni Ivorra), 2017-2021.

  11. Laura Baumgartner. “Digging into biologically-driven injury mechanisms in the intervertebral disc - an evidence-based network modelling approach to estimate cell dynamics within complex multicellular systems”, PhD thesis, Universitat Pompeu Fabra (co-supervised with Dr. Jérôme Noailly), 2016-2021.

  12. Xavier Rafael Palou, “Detection, quantification, malignancy prediction and growth forecasting of pulmonary nodules using deep learning in follow-up CT scans”, PhD thesis, Universitat Pompeu Fabra (co-supervised with Prof. Gemma Piella, UPF and Dr. Vicent Ribas, Eurecat), 2018-2021.

  13. Alfredo Higueras Esteban. “Multimodal 3D computer planning system for the implantation of stereotactic electrodes in refractory epilepsy”, PhD thesis, Universitat Pompeu Fabra (co-supervised with Dr. Luis Serra, Galgo Medical S.L.), 2016-2021.

  14. Gabriel Bernardino Pérez. “Computational anatomy as a driver of understanding structural and functional cardiac remodelling”, PhD thesis, Universitat Pompeu Fabra (co-supervised with Prof. Bart Bijnens, ICREA-UPF and Dr. Mathieu De Craene, Philips), 2015-2019.

  15. Jordina Torrents Barrena. “Deep-learning based segmentation methods for computer assisted fetal surgery”, PhD thesis, Universitat Pompeu Fabra (co-supervised with Dr. Mario Ceresa), 2016-2019.

  16. Jordi-Ysard Puigbò Llobet. “Learning mechanisms of uncertainty and neuromodulation”, PhD thesis, Universitat Pompeu Fabra (co-supervised with Prof. Paul Verschure, ICREA-IBEC), 2014-2019.

  17. Karen López-Linares Román. “Image analysis and deep learning to support endovascular repair of abdominal aortic aneurysms”, PhD thesis, Universitat Pompeu Fabra (co-supervised with Dr. Iván Macia, Vicomtech), 2016-2019.

  18. Mirella López Picazo. “3D subject-specific shape and density modeling of the lumbar spine from 2D DXA images for osteoporosis assessment”,PhD thesis, Universitat Pompeu Fabra (co-supervised with Dr. Ludovic Humbert, Galgo Medical S.L.), 2015-2019.

  19. Guillermo Ruiz Fernández. “3D reconstruction for plastic surgery simulation based on statistical shape models”, PhD thesis, Universitat Pompeu Fabra (co-supervised with Dr. Federico Sukno), 2014-2018.

  20. Nerea Mangado López. “Cochlear implantation modeling and functional evaluation considering uncertainty and parameter variability”. PhD thesis, Universitat Pompeu Fabra (co-supervised with Prof. Gemma Piella) 2013-2017.

  21. Veronika Anne Zimmer. “Image similarity for registration and manifold learning: application to brain analysis”. PhD thesis, Universitat Pompeu Fabra (co-supervised with Prof. Gemma Piella), 2013-2017.

  22. Sergio Vera Hernández. "Anatomic registration based on medial axis parametrizations". PhD thesis, Universitat Autònoma de Barcelona (co-supervised with Dr. Debora Gil, UAB), 2007-2015.

  23. Nina Kozic. “Statistical shape space analysis based on level sets for optimization of orthopaedic implant design”. PhD thesis, University of Bern (co-supervised with Dr. Mauricio Reyes), 2005-2009.

  24. Haydar Talib. “Ultrasound-based non-invasive anatomical referencing”. PhD thesis, University of Bern (co-supervised with Prof. Martin Styner, Univ. North Carolina), 2004-2008. 

  25. Jaime García Giráldez. “Augmented reality for image guided microscope and endoscope surgery”. PhD thesis, University of Bern (co-supervised with Dr. Marco Caversaccio), 2004-2007.

  26. Kumar Rajamani. “Three dimensional surface extrapolation from sparse data using deformable models”. PhD thesis, University of Bern (co-supervised with Prof. Martin Styner, Univ. North Carolina), 2004-2006.

  27. Rudolf Sidler. “Computer assisted ankle joint arthroplasty: enabling new therapies for post-traumatic osteoarthritis and other joint diseases”. PhD thesis, University of Bern (co-supervised with Prof. Martin Styner, Univ. North Carolina), 2004-2006.

 

My PhD thesis

  1. González Ballester M.A. "Morphometric Analysis of Brain Structures in MRI". PhD thesis. Robotics Research Group, Department of Engineering Science, University of Oxford (co-supervised by Prof. Sir J. Michael Brady and Prof. Andrew P. Zisserman), 1999 (Link - Oxford University Research Archive).