Short Bio I received the B.S. degree in Computer Science (1999) and the PhD in Computer Engineering (2004) from the University of Girona (supervisors: Dr. Joan Martí and Prof. Maria Petrou). From 2004 to 2006, I was working as a Post-doctoral Research Assistant in the Department of Computer Science at Queen Mary, University of London with Dr Lourdes Agapito. Currently, I'm an ICREA Academia and Full Professor of the Department of Computer Architecture and Technology of the University of Girona. My research interests are in the field of Image Processing, Pattern Recognition and Computer Vision, with especial interest in medical image analysis where I'm leading different research projects and participating in transferring the developed technologies. I have published more than 360 papers in journals and conferences with peer review process. I am also reviewer of more than 20 JCR journals and 15 international conferences and I have been member of the Program Committee and the organization of several conferences and challenges. I'm also a senior member of the IEEE.

Research

Medical Image Segmentation Lesion segmentation Brain tissue quantification Anatomical structure segmentation Domain adaptation Semi and weakly supervised learning Foundation models for segmentation	AI Representation Learning Image representation learning Foundation models Generative AI and diffusion models Self-supervised learning Domain generalisation Explainable AI
Longitudinal and Multimodal Neuroimaging Longitudinal image analysis Multimodal image registration Disease progression modelling Lifespan brain modelling Patient trajectory analysis Clinical data integration	Imaging Biomarkers and Predictive AI Quantitative imaging biomarkers Diagnosis and prognosis Risk prediction Outcome prediction Personalised medicine Clinical decision support

      Postdocs and PhD Students  

• [2025-2028] Agustín Cartaya. Deep learning for brain image synthesis. Codirected by A. Oliver.
• [2025-2028] Luisana Álvarez. DL registration techniques for atrophy biomarkers. Industrial PhD codirected by S. Valverde.
• [2024-2027] Clara Lisazo. Brain aging estimation from brain MRI images. Codirected by A. Casamitjana, A. Oliver.
• [2024-2027] Hasna Hamadache. Generative deep learning models for domain adaptation in brain image biomarkers.
• [2024-2027] Micaela Rivas. Diabetic foot ulcer segmentation and classification. Codirected by R. Martí
• [2024-2027] Aaron Tovar. Domain adaption techniques for multiple sclerosis lesion segmentation. Industrial PhD codirected by S. Valverde.
• [2024-2026] Adrià Casamitjana. Multimodal and longitudinal brain image analysis.
• [2023-2027] Marc Guirao. Incremental learning in deep learning techniques applied to brain lesion segmentation. Industrial PhD codirected by S. Valverde.
• [2023-2026] Cansu Yalçin. Deep Learning methods with limited supervision for brain pathology analysis in Neuroimaging. Codirected by A. Casamitjana. Defense: 16th July 2026.
• [2022-2026] V. Abramova. Deep learning for clinical decision support in brain tumors and stroke. Defense: 7th July 2026.
• [2022-2026] U. Lal-Trehan Estrada. Deep Learning for Stroke Imaging: Enhancing Focus, Efficiency, and Fairness. Codirected by A. Oliver, L. Giancardo. Defense: 27th February 2026.
• [2022-2025] V. Abramova. Hemorrhagic stroke segmentation on CT images.
• [2020-2024] Liliana Valencia. Applications of deep learning techniques in Magnetic Resonance Imaging for Multiple Sclerosis: from research innovations to clinical implementation. Industrial PhD. Codirected by Dr. S. Valverde, A. Oliver. 6th March 2025.
• [2020-2024] Llucia Coll. Deep learning applied to brain MRI data for patient stratification and prediction of multiple sclerosis disease course. Codirected by C. Tur and D. Pareto. 6rh February 2024.
• [2019-2023] Albert Clèrigues. Deep learning methods methods for extraction of neuroimage markers in the prognosis of brain pathologies. Codirected by Dr. A. Oliver. 13th February 2023.
• [2017-2020] Kaisar Kushibar. Brain structure segmentation via supervised deep learning. Codirected by Dr. A. Oliver. 20th July, 2020.
• [2017-2020] Jose Bernal. Supervised tissue segmentation in brain MRI images using Deep Learning. Codirected by Dr. A. Oliver. 27th October, 2020.
• [2016-2020] Mostafa Salem. Deep learning methods for automated detection of new multiple sclerosis lesions in longitudinal magnetic resonance images. Codirected by Prof. J. Salvi.
• [2016-2019] Richa Agarwal. Computer aided detection for breast lesion in ultrasound and mammography. Codirected with Dr. R. Martí and O. Díaz. 26th September, 2019
• [2016-2020] Mostafa Salem. Deep learning methods for automated detection of new multiple sclerosis lesions in longitudinal magnetic resonance images. Codirected by Prof. J. Salvi.
• [2015-2018] Sandra Gonzalez. Automated brain structures in magnetic ressonance images of multiple sclerosis patients. Codirected by Dr. A. Oliver. Defense: 31th May 2019.
• [2013-2018] Muhammad Habib. Motion annotation in complex video datasets. Codirected by Dr. A. Oliver, Prof. J. Salvi. Defense: 16th November 2018.
• [2013-2016] Eloy Roura. Automated methods on Magnetic Resonance Brain Imaging in Multiple Sclerosis. Codirected by Dr. A. Oliver. Defense: 1th July 2016. Nowadays working at Icometrix.
• [2013-2016] Sergi Valverde. Brain tissue and MS lesion segmentation in MRI. Codirected by Dr. A. Oliver. Defense: 14th June 2016.
• [2011-2014] Marc Masias. Source detection approaches in astronomical images. With Dr. J. Freixenet and Dra. M. Peracaula. Defense: 29th July 2014.
• [2010-2014] Onur Ganiler. Automated detection of new multiple sclerosis lesions in longitudinal magnetic resonance imaging. Defense: 24th October 2014.
• [2010-2013] Mariano Cabezas. Atlas-based segmentation of multiple sclerosis lesions in brain MRI. Codirected by Dr. A. Oliver. Defense: 16th July 2013.
• [2011-2012] Yago Diez. Postdoc: Brain MRI registration in patients with multiple sclerosis lesions.
• [2008-2012] Albert Torrent. Simultaneous object detection and segmentation. Codirected by Dr. J. Freixenet. Defense: 8th July 2013.
• [2007-2011] Luca Zappella. Manifold Clustering for Motion Segmentation. Codirected by Prof. J. Salvi. Defense: 30th June 2011. Nowadays in The Johns Hopkins University with Prof. R.Vidal