ADaS Lab
Applied Data Science Lab

Publications


2020


  • Ferran Prados, Marcello Moccia, Aubrey Johnson, Marios Yiannakas, Francesco Grussu, Manuel Jorge Cardoso, Olga Ciccarelli, Sebastien Ourselin, Frederik Barkhof, Claudia Wheeler-Kingshott (2020). Generalised boundary shift integral for longitudinal assessment of spinal cord atrophy. NeuroImage (2020).
  • Jeremy Chataway, Floriana De Angelis, Peter Connick, Richard A Parker, Domenico Plantone, Anisha Doshi, Nevin John, Jonathan Stutters, David MacManus, Ferran Prados, Frederik Barkhof, …, Brendan McLean. Efficacy of three neuroprotective drugs in secondary progressive multiple sclerosis (MS-SMART): a phase 2b, multiarm, double-blind, randomised placebo-controlled trial. The Lancet Neurology (2020)
  • Thalis Charalambous, Jonathan D Clayden, Elizabeth Powell, Ferran Prados, Carmen Tur, Baris Kanber, Declan Chard, Sebastien Ourselin, Claudia AM Gandini Wheeler-Kingshott, Alan J Thompson, Ahmed T Toosy. Disrupted principal network organisation in multiple sclerosis relates to disability. Scientific Reports (2020)
  • Rosa Cortese, Carmen Tur, Ferran Prados, Torben Schneider, Baris Kanber, Marcello Moccia, Claudia AM Gandini Wheeler-Kingshott, Alan J Thompson, Frederik Barkhof, Olga Ciccarelli. Ongoing microstructural changes in the cervical cord underpin disability progression in early primary progressive multiple sclerosis. Multiple Sclerosis Journal (2020)

2019


  • Ferran Prados, Marcello Moccia, Massimo Filippi, Maria A Rocca, Paola Valsasina, Wallace J Brownlee, Chiara Zecca, Antonio Gallo, Alex Rovira, Achim Gass, Jacqueline Palace, Carsten Lukas, Hugo Vrenken, Sebastien Ourselin, Claudia AM Gandini Wheeler‐Kingshott, Olga Ciccarelli, Frederik Barkhof (2019). Longitudinal spinal cord atrophy in multiple sclerosis using the generalised boundary shift integral. Annals of Neurology.
  • Karen K Chung, Daniel Altmann, Frederik Barkhof, Katherine Miszkiel, Peter A Brex, Jonathan O’Riordan, Michael Ebner, Ferran Prados, M Jorge Cardoso, Tom Vercauteren, Sebastien Ourselin, Alan Thompson, Olga Ciccarelli, Declan T Chard (2019). A thirty-year clinical and MRI observational study of multiple sclerosis and clinically isolated syndromes. Annals of neurology.
  • M. Battiston, T. Schneider, F. Grussu, M. C Yiannakas, F. Prados, F. De Angelis, CAM Gandini Wheeler‐Kingshott, R. S Samson. Fast bound pool fraction mapping via steady‐state magnetization transfer saturation using single‐shot EPI. Magnetic Resonance in Medicine (2019)
  • Sjoerd B Vos, Gavin P Winston, Olivia Goodkin, Hugh G Pemberton, Frederik Barkhof, Ferran Prados, Marian Galovic, Matthias Koepp, Sebastien Ourselin, M Jorge Cardoso, John S Duncan. Hippocampal profiling: Localized magnetic resonance imaging volumetry and T2 relaxometry for hippocampal sclerosis. Epilepsia (2019)
  • A. Eshaghi, R. Kievit, F. Prados, C. Sudre, J. Nicholas, M. Cardoso, D. Chan, R. Nicholas, S. Ourselin, J. Greenwood, A. Thompson, D. Alexander, F. Barkhof, J. Chataway, O. Ciccarelli. Applying causal models to explore the mechanism of action of simvastatin in progressive multiple sclerosis. PNAS (2019)
  • Olivia Goodkin, Hugh Pemberton, Sjoerd B Vos, Ferran Prados, Carole H Sudre, James Moggridge, M Jorge Cardoso, Sebastien Ourselin, Sotirios Bisdas, Mark White, Tarek Yousry, John Thornton, Frederik Barkhof (2019). The quantitative neuroradiology initiative framework: application to dementia. The British journal of radiology. 92(1101)
  • Sara Collorone, Ferran Prados, Marloes HJ Hagens, Carmen Tur, Baris Kanber, Carole H Sudre, Carsten Lukas, Claudio Gasperini, Celia Oreja-Guevara, Micaela Andelova, Olga Ciccarelli, Mike P Wattjes, Sebastien Ourselin, Daniel R Altmann, Betty M Tijms, Frederik Barkhof, Ahmed T.Toosy, MAGNIMS Study Group (2019). Single-subject structural cortical networks in clinically isolated syndrome. Multiple Sclerosis Journal.
  • WJ Brownlee, Daniel Altmann, F Prados, KA Miszkiel, A Eshaghi, CAM Gandini Wheeler-Kingshott, F Barkhof, O Ciccarelli. Early imaging predictors of long-term outcomes in relapse-onset multiple sclerosis. Brain (2019). 142 (8), 2276-2287
  • Laura Calvet, Pierre Bourdin, Ferran Prados. Immersive Technologies in Higher Education: Applications, Challenges, and Good Practices. Proceedings of the 2019 3rd International Conference on Education and E-Learning (2019).
  • J. William L. Brown, Azmain Chowdhury, Baris Kanber, Ferran Prados, Arman Eshaghi, Carole H. Sudre, Matteo Pardini, Rebecca Samson, Steven van de Pavert, Claudia Wheeler Kingshott, Declan T. Chard. Magnetisation transfer ratio abnormalities in primary and secondary progressive multiple sclerosis. Multiple Sclerosis Journal (2019)
  • E. Solana, E. Martinez-Heras, J. Casas-Roma, L. Calvet, E. Lopez-Soley, M. Sepulveda, N. Sola-Valls, C. Montejo, Y. Blanco, I. Pulido-Valdeolivas, M. Andorra, A. Saiz, F. Prados, S. Llufriu. (2019). Modified connectivity of vulnerable brain nodes in multiple sclerosis, their impact on cognition and their discriminative value. Scientific Reports 9, 20172.
  • Claudia Angela Michela Gandini Wheeler-Kingshott, Frank Reimer, Fulvia Palesi, Antonio Ricciardi, Gloria Castellazzi, Xavier Golay, Ferran Prados Carrasco, Bhavana Solanky, Egidio Ugo D‘Angelo (2019). Challenges and perspectives of functional sodium imaging (fNaI). Frontiers in Neuroscience. Volume 12, Pages 810
  • J. Casas-Roma. (2019). DUEF-GA: Data Utility and Privacy Evaluation Framework for Graph Anonymization. International Journal of Information Security (IJIS), In press.
  • J. Casas-Roma. (2019). An evaluation of vertex and edge modification techniques for privacy-preserving on graphs. Journal of Ambient Intelligence and Humanized Computing. In press.
  • R. Parada, J. Font and J. Casas-Roma. (2019). Predicting Energy Generation Using Forecasting Techniques in Catalan Reservoirs. Energies (Special Issue Artificial Intelligence in Data Science For Energy Management in Sustainability), Vol 12(10), 1832.
  • J. Casas-Roma, J. Salas, F. D. Malliaros and M. Vazirgiannis. (2019). k-Degree Anonymity on Directed Networks. Knowledge and Information Systems (KAIS), Vol 61, pp. 1743-1768.
  • Parada R., Font J., Casas-Roma J. (2019) Forecasting Water Levels of Catalan Reservoirs. In: Torra V., Narukawa Y., Pasi G., Viviani M. (eds) Modeling Decisions for Artificial Intelligence. MDAI 2019. Lecture Notes in Computer Science, Vol. 11676, pp. 164-176. Springer, Cham.
  • Carrere-Molina, J., Subirats, L., Casas-Roma, J. (2019). Towards an analysis of post-transcriptional gene regulation in psoriasis via microRNAs using Machine Learning algorithms. 2019 IEEE 32nd International Symposium on Computer-Based Medical Systems (CBMS), pp. 600-603. Cordoba, Spain.
  • Carmona, F., Conesa, J., Casas-Roma, J. (2019). Towards the Analysis of How Anonymization Affects Usefulness of Health Data in the Context of Machine Learning. 2019 IEEE 32nd International Symposium on Computer-Based Medical Systems (CBMS), pp. 604-608. Cordoba, Spain.
  • Subirats, L., Pérez, L., Hernández, C., Fort, S., Sacha, G.M. A granularity-based intelligent tutoring system for Zooarchaeology. Journal of Applied Sciences, 9, 4960, 2019.

2018


  • M. Ros-Martín, J. Salas and J. Casas-Roma. (2018). Scalable non-deterministic clustering-based k-anonymization for rich networks. International Journal of Information Security (IJIS), Vol 18(2), pp. 219-238.
  • Subirats, L., Reguera, N., Bañón, A. M., Gómez-Zúñiga, B., Minguillón, J., Armayones, M. Mining Facebook data of people with rare diseases: a content-based and temporal analysis. International Journal of Environmental Research and Public Health. 15(9), 1877, 2018.
  • Ceccaroni, L., Velickovski, F., Steblin, A., Subirats, L. Citclops: Data Interpretation and Knowledge-based Systems Integration. Journal for Spatial Data Infrastructure Research, 13: 24-37, February 2018.