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Christophe Phillips, Ir., Ph.D., Prof.
Contact details are available in the University of Liège directory.
[TOC]
Note:
- CRC = Cyclotron Research Centre;
- ULiège = University of Liège, Belgium.
Appointment at the University of Liège, Belgium:
- FRS-FNRS Research Director, GIGA Institute in the "Development in Data Acquisition & Modelling Lab", which is part of the "GIGA CRC Human Imaging research unit;
- Professor, Department of Electrical Engineering and Computer Science, aka. "Montefiore Institute", School of Engineering.
Honorary Research Associate, Machine Learning and neuroimaging Lab, Centre for Medical Image Computing, University College London, UK.
My main interests consist in the development of techniques for the acquisition and processing of neuroimaging data. These include magnetic resonance imaging (MRI) and positron emission tomography (PET) but also electroencephalography and physiological signals such as actimetry and occulometry. The curation and management of neuroimaging data is also a focus of my activities.
- October 2021 – now. FRS-FNRS Research Director, GIGA CRC in vivo imaging, ULiège.
- October 2021 – now. Professor, Department of Electrical Engineering & Computer Science, ULiège.
- October 2015 – September 2021. Associate Professor, Department of Electrical Engineering & Computer Science, ULiège.
- March 2012 – now. Honorary Research Associate, Machine Learning and Neuroimaging Lab, Department of Computer Science, University College London, UK.
- October 2015 – September 2021. FRS-FNRS Senior Research Associate, GIGA CRC in vivo imaging, ULiège.
- October 2008 – September 2015. Adjunct Assistant Professor, Department of Electrical Engineering and Computer Science, ULiège.
- October 2006 – September 2015. FRS-FNRS Research Associate, CRC, ULiège.
- October 2004 – September 2006. Postdoctoral research engineer, Department of Electrical Engineering and Computer Science, ULiège.
- October 2001 – September 2004. FRS-FNRS Postdoctoral Researcher, CRC, ULiège.
- October 2000 – September 2001. Scientific Officer, Wellcome Department of Imaging Neuroscience (Prof. K. J. Friston), University College London, UK.
- October 1998 – September 2000. Honorary researcher, Institute of Cognitive Neuroscience (with Prof. M. D. Rugg) and Wellcome Department of Imaging Neuroscience (with Prof. K. J Friston), University College London, UK.
- September 1996 - September 2001. PhD Research Engineer, CRC, ULiège.
- September 1994 - June 1996. Master in Electrical Engineering, ULiège.
- September 1991 - June 1994. Bachelor in Engineering, ULiege.
- January 2001, PhD in Applied Sciences (supervised by Prof. P. Maquet and Prof F.X. Litt), with “Summa cum laude”, ULiège. Title: Source estimation in EEG: Combining anatomical and functional constraints.
- June 1996, Master in Electrical Engineering (or. Electronics), with “Summa cum laude”, ULiège. Title: “3D image reconstruction from cone-beam projections”.
- Medical imaging, master in biomedical engineering & electrical engineering (5 ECTS), School of Engineering, ULiège, since 2008.
- Neuroimaging data analysis, masters in electrical (neural systems) and biomedical engineering (2 ECTS), School of Engineering, ULiège, since 2023.
- Principles of Neuroengineering, master in biomedical engineering & electrical engineering (5 ECTS), with Profs G. Drion & P. Sacré, School of Engineering, ULiège, since 2022.
- Eléments d'informatique médicale, master in nuclear medicine (2 ECTS), Faculty of Medicine, ULiège, since 2021.
- Introduction to scientific computing course, GIGA Doctorate School, GIGA Institute. Course organized in 2018, 2019, 2020 (with video recordings of the last lectures) and 2021.
- Introduction to medical statistics, masters in physics and biomedical engineering (2 ECTS), Faculty of Sciences, ULiège, 2002-2022, then replaced by the "Neuroimaging data analysis" from 2023 onwards.
- presentations at the GIGA CRC in vivo imaging research unit seminars, ULiege;
- “Pattern Recognition for Neuroimaging Toolbox” (PRoNTo) course at the GIGA CRC in vivo imaging, 2013;
- presentation at UGent Brainhack, 2017;
- teaching at the “Statistical parametric Mapping” (SPM) three-day courses on fMRI/VBM/PET and M/EEG data processing,
- bi-annual courses at the Wellcome Trust Centre for Neuroimaging, University College London, UK, since 2002;
- "SPM - biennial Edinburgh residential course" from 2013 till 2019;
- neuro-imaging workshop at UCLouvain, Belgium, 2019;
- courses in Montreal (Canada), Nara (Japan) and Shenzhen (China), as scientific coordinator and speaker;
- “Pattern Recognition for Neuroimaging Toolbox” (PRoNTo) yearly two-day courses, Department of Computer Science, University College London, UK, 2012-2018 & 2021 (online).
- “Pattern Recognition for Neuroimaging” one-day Educational Course, annual Organization for Human Brain Mapping meetings, 2014-2018 & 2020.
as main supervisor, otherwise stated
Since 2005, supervision of 26 students in (mostly biomedical) engineering for their master's project:
- A. Devalkeneer, “Segmentation EMS d'images 3D du cerveau”, 2005, co-supervisor with Prof. J. Verly;
- G. Thielen, “Correction des artefacts d'enregistrement de signal électro-encéphalographique couplé à l'imagerie par résonance magnétique”, 2006, co-supervisor with Prof. J. Verly;
- Y. Leclercq, “Correction of the ballistocardiographic artifact from EEG data acquired in the MRI scanner: An introduction of a cICA-based correction algorithm”, 2007;
- J. Schrouff, “Mathematical characterisation of slow waves in slow wave sleep from EEG data.” 2009;
- X. Mouvet, “BOLD effect sensitivity in fMRI: integrative modeling and optimization.” 2010;
- N. Partoune, “Development of a brain-computer-interface for diagnostic purposes.”, 2010;
- S. Furlan, “Spatial realignment of diffusion weighted magnetic resonance images.” 2011;
- O. Herbiet, “Caractérisation de l’effet de volume partiel en imagerie par emission de positrons chez les petits animaux.” 2011;
- J.-M. Duthoo, “Développement d'une interface cerveau-ordinateur basée sur l'électroencéphalographie et l'électromyographie à des fins de diagnostique.” 2012;
- M. Gonzalez y Viagas, “Automatic biorhythms description from actigraphic data”, 2014;
- A. Vanvinckenroye, “Modeling and analyzing EEG-TMS data with dynamic causal modeling”, 2015;
- L. Godon, “Reconstruction of 3D images by tomosynthesis or tomography”, 2018, in collaboration with X-Ray Imaging Solutions;
- V. Hortelan, “Numerical simulation of the tau proteins aggregation in the brain and in the brain metabolism”, 2018, in collaboration with Prof. H. Benali, Concordia University, Montreal, Canada;
- G. Salvoni, “Multivariate statistics for the joint analysis of quantitative maps”, 2018, in collaboration with Prof. M. Callaghan, University College London, UK;
- S. Mastrodicasa, “Multimodal and multivariate psychological prediction in adolescent”, 2018, in collaboration with Prof. G. Zhang, University College London, UK;
- N. Vandeleene, “Analyses of sensitivity and specificity of fMRI measures across studies”, 2018, in collaboration with Prof. T. Wager, University of Boulder, Colorado, USA;
- T. Nguyen, "Comparison of unsupervised learning exploratory methods applied to multimodal medical data of the brain", 2019, in collaboration with Prof. J. Mourao-Miranda, University College London, UK;
- Y. Coppens, "Automatic evaluation of electrophysiological signal quality for ambulatory pregnancy monitoring", 2019, in collaboration with Bloomlife Inc.;
- E. Beckers, "MRI contrast in the locus cœruleus: Optimisation with multi-compartment spoiled gradient echo imaging", 2020, in collaboration with Prof. M. Callaghan, University College London, UK;
- J. Coline, "Tomosynthesis Imaging: Principles, Simulations and Practical Performance", 2020, in collaboration with X-Ray Imaging Solutions;
- E. Jamotton, "Influence of pressure on Terahertz imaging of fresh animal tissues", 2020, in collaboration with Dr M. Boutaayamou, Dept of Electrical Engineering and Computer Science, ULiege;
- S. Bonghi, "Quantitative MRI characterization of brain tissues in stroke patients", 2021, in collaboration with Profs M. Callaghan & J. Crinion, University College London, UK.
- A. Debor, "Development of a robot interface for cognitive experimental tasks in human functional magnetic resonance imaging", 2022, in collaboration with Prof. P. Bellec, Université de Montreal, Montreal, Canada.
- L. Backes, "Diagnosis of Alzheimer’s Disease via 3D Convolutional Neural Network", 2022, co-supervision with Prof. G. Louppe.
- E. Jost-Jongen, "Identify key parameters influencing the quality of FLASH proton therapy plans", 2023, in collaboration with Dr R. Labarbe, IBA, Belgium.
- K. Di Bartolomeo, "Dynamic correction of geometric distortions in high-resolution functional MRI at ultra-high magnetic field strengths.", 2024, in collaboration with Prof. M. Callaghan, University College London, UK;
Since 2017, 4 internships at the CRC:
- July-August 2017, Hao Hu, Polytech Nantes (Frances), "Sleep EEG visualisation";
- May-August 2018, Aubin Ardois, Polytech Nantes (Frances), "Actigraphy data visualization and analysis", co-supervision with Dr. G. Hammad;
- May-August 2019, Benjamin Leroy, Polytech Nantes (Frances), "Actigraphy data standardisation, description and storage", co-supervision with Dr. G. Hammad;
- February-March 2020, Marwa Jiyar, Haute Ecole Léonard de Vinci, Bruxelles, "Apports et différence d'un champ magnétique 7 Tesla et 3 Tesla en IRM dans la recherche fondamentale", co-supervision with the MR Physics team;
- June 2022, Pauline Noé, Télécom Physique Strasbourg (France), 4 week observation internship on neuroimaging lab activities (data acquisition, preocessing, interactions with colleagues, etc.);
- June-August 2022, Emeline Pommier, Télécom Physique Strasbourg (France), 12 week internship, "Data BIDS-ification with BIDSme, tool development".
Since 2008, supervision of 18 PhD students thesis in engineering and biomedical science.
- A. Collard, “Geometric algorithms for the processing of DTI and their use in tractography and large scale genetic association study.”, 2009-2013, co-sup. with Prof. R. Sepulchre (Dept of Electrical Engineering and Computer Science, ULiege), FNRS grant;
- J. Schrouff, “Pattern Recognition in NeuroImaging: What can machine learning classifiers bring to the analysis of functional brain imaging?”, 2009-2013, FRIA grant;
- E. André, “Improvement of data quality for Diffusion Kurtosis Imaging and application to clinical neurological research.” 2010-2014, co-sup. with Dr. E. Balteau (CRC, ULiege), MC-ITN grant;
- E. Ziegler, “Multimodal modelling of the human brain.”, 2010-2014, MC-ITN grant;
- F. Bretin, “Dosimetry of preclinical and clinical case studies of 18F-radiopharmaceuticals using PET and CT: Methods of quantification, their improvement and considerations of critical exposures.”, 2011-2015, co-sup. with Prof. A. Seret (Dept of Physics, ULiege), MC-ITN grant;
- B. Guillaume, “Accurate non-iterative modelling and inference of longitudinal neuroimaging data.”, 2010-2015, co-sup. with Prof T. Nichols (Warwick University, UK), MC-ITN grant.
- K. Möllenhof, “Novel methods for the detection of functional brain activity using 17O MR.”, 2012-2016, co-sup with Prof J. Shah (Jülich Research Centre, Germany), MC-ITN grant;
- D. Coppieters, “Detection of spontaneous pattern of activities in EEG/MEG.”, 2012-2016, FRIA grant;
- F. Thomas, “Continuous Glucose Monitoring for Optimising Glycaemic Performance in Individuals without Diabetes”, 2013-2017, co-sup. with Dr. T. Desaives (Dept of Electrical Engineering and Computer Science, ULiege, & Dept of Mechanical Engineering, the University of Canterbury, New Zealand );
- M. Wehenkel, “Characterization of neurodegenerative diseases with tree ensemble methods: the case of Alzheimer’s disease.”, 2014-2018, co-sup. with Prof. P. Geurts (Dept of Electrical Engineering and Computer Science, ULiege), FNRS grant;
- G. Antonopoulos, “Machine Learning applications for characterizing brain-damaged patients’ level of consciousness.”, 2013-2019, co-sup. with Prof. S. Laureys (GIGA Consciousness, ULiege);
- M. Abdelrahman, “Personal dosimetry of workers without a physical dosimeter using computational methods.”, 2016-2020, co-sup. with Prof. A. Seret (Dept of Physics, ULiege) and Dr F. Vanhavere (SCK-CEN, Belgium), SCK-CEN grant.
- M. Grignard, “Realistic electro-magnetic modeling of the head”. 2018-2022, co-sup. with Prof. C. Geuzaine (Dept of Electrical Engineering and Computer Science, ULiege); EoS FNRS "Memodyn" grant.
- N. Vandeleene, “Identification of lesional brain tissues from quantitative Magnetic Resonance Imaging (qMRI) data”. 2018-2022, FRIA grant.
- S. Moallemian, "Multimodal analysis of biomarkers interactions to predict cognitive decline and risk for dementia". 2020-2023, co-sup. with Prof. C. Bastin (GIGA-CRC in vivo imaging, ULiège), ARC grant.
- E. Lavrova, “Quantitative neuroimaging with handcrafted and deep radiomics in neurological diseases”. 2019-2024, co-sup. with Prof. E. Salmon (GIGA-CRC in vivo imaging, ULiège) and Prof. P. Lambin & Dr. H. Woodruff (UMaastricht, Netherlands), “Imaging Valley” ULiège-UMaastricht grant.
- S. de Haan, "Physiology-based mathematical modelling of sleep-wake regulation and it's association with hypothalamic subfield integrityin older adults". 2021-2025 (expected), co-sup. with Prof. C. Schmidt (GIGA-CRC in vivo imaging, ULiège), FRIA grant.
- Y. Leclercq, “Development of an EEG-based brain-computer-interface working in a MRI scanner”, 2008-2010, FRIA grant.
- P. Villar Gonzalez, “Linking cerebral microstructure, sleep-wake cycles and cognition with dementia risk” 2017-2019, co-sup. with Prof. C. Bastin, ARC grant.
Since 2008:
- Dr. Fermin Segovia, October 2012 till September 2014. ULiège Postdoc-in grant, “Multivariate data-driven diagnosis of Parkinson's and Alzheimer's disease using pattern recognition techniques”.
- Dr. Nikita Beliy, October 2018 till September 2023. EoS "FNRS" Memodyn grant, “Data management and curation”.
- Dr. Siya Sheriff, October 2019 till December 2022. Siemens grant for 7T MRI data acquisition and processing.
These are listed on a separate page.
All the publications are available in open access via Orbi@ULiège and here is my ORCID page. The list of publications and publication indexes are also available on the usual platforms such as Google Scholar and Scopus.
Some bibliographic indexes from, as of September 5, 2024:
| Source | H-index | #citations | #publications |
|---|---|---|---|
| Google Scholar | 75 | 29010 | - |
| Scopus | 61 | 14665 | 193 |
A short selection of papers and talks is listed here.
Contribution to existing toolboxes
- "Statistical Parametric Mapping", SPM.
Member of the SPM toolbox development team since 1998. - "fMRI Artefact rejection and Sleep Scoring Toolbox", FASST.
Head of the development team for FASST since 2007, ULiège. - "Pattern Recognition in Neuroimaging Toolbox", PRoNTo.
Member of the PRoNTo development team since 2011. - "Histological MRI" - hMRI toolbox. Quantitative MRI modelling and processing.
Member of the development team since 2016. - "shamo" (Stochastic HeAd MOdelling), CRC project, since 2019.
- "BIDSme". Multimodal dataset BIDS-ification, CRC project, since 2019.
Other bits of code produced at the CRC/GIGA-research are distributed under an open source license via the Cyclotron Research Centre's GitHub or GitLab platforms.
Note that the latter is hosted on the ULiege server.
(past and current)
- 2018-2022, “Excellence of Science” grant, MEMODYN project, co-PI within the network of the University of Liège, Ghent, Brussels and Leuven, Belgium, and University College London, UK.
- Prof. Dr. Tony Stöcker, Head of MR Physics team at the “Deutsches Zentrum für Neurodegenerative Erkrankungen” (DZNE), Bonn, Germany
- Prof. Dr Nikolaus Weiskopf, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany, and an international team for the development of the “histological MRI” toolbox.
- Prof. Dr Janaina Mourao-Miranda, Machine learning and Neuroimaging Lab, Department of Computer Science, University College London, UK.
- Prof Dr Karl J. Friston and Prof Dr Martina Callaghan, Wellcome Trust Centre for Neuroimaging, University College London, UK, for the development of SPM and “quantitative MRI methods”.
- 2009-2015, ULiège representative for the Marie Curie International Training Network (MC-ITN) “Methods in Neuroimaging”. Along the CRC (ULiège), the network also involves: the Maastricht Brain Imaging Centre (Maastricht University, the Netherlands), the Research Centre Jülich (Germany) and GSK Clinical Imaging Centre, UK. Seven Ph.D. theses in ULiège-UMaastricht co-diplomation .
- 2014, “Prix Janine et Jacques Delruelle” (from the “Fondation Médicale Reine Elisabeth”) with Prof. Maquet for our work on “Characterization of human sleep/wake regulation using multimodal functional imaging in population stratified on the polymorphism of PERIOD3 gene”.
- 2005 “Marcel Linsman Prize” (from “l'Association des Ingénieurs sortis de l'Université de Liège a.s.b.l.”) for my work in biomedical engineering.
- 2003, “Association of the university of Liège friends“ Prize, for the PhD thesis : “Source estimation in EEG: Combining anatomical and functional constraints”.
- 1997, Siemens Belgium Prize in medical imaging for the Master project: “3D image reconstruction from cone-beam projections”.
These are listed on a separate page.
- Member of several Ph.D. evaluation committees
- in Belgium: at ULiège (in the School of Engineering, Psychology, and Medicine) and University of Ghent, Belgium;
- abroad: Maastricht University (Netherlands), INRIA (France), University of Birmingham and Kings College London (UK);
- 2020 - now. member of the Editorial Board for the OA journal "Aperture Neuro" driven by OHBM;
- 2021 - now. Associate Editor for the journal Frontiers in Neuroscience - Brain Imaging Methods
- 2017 - now. handling Editor for the journal "Scientific Reports".
- Article reviewing for several journals such as NeuroImage, Human Brain Mapping, Frontiers in Neuroscience, Scientific Reports,...
- Grant reviewing for
- the University of Strasbourg’s “Initiative of Excellence”, for the “Interdisciplinary Thematic Institutes” (ITI) call (2019).
- European Commission, H2020, Marie Skłodowska-Curie Actions Individual Fellowships (MSCA-IF) call in 2020 and 2021.
- Cluster for Individualized Immune Intervention (Ci3), Digital Enterprise Innovations for Bioimaging, Biosensing and Biobanking Industries (DIGI-B-CUBE) call (2019-2022).
- Abstract and symposium reviewing for the Organization for Human Brain Mapping (OHBM) annual meetings.
- 2023 - 2026, Member of the "Conseils sectoriels de la Recherche et de la Valorisation en Sciences et Techniques" (CSRV-ST, Sector Council for Research and Valorisation in Science and Techniques).
- 2021 - now. Secretary of the academic board, Department of Electrical Engineering and Computer Science.
- 2016 - now. Representative of the GIGA scientific staff on the ULiege "Conseil du Corps Scientifique" ("Council of the Scientific Staff").
- 2015 - now. De facto member of the Academic Council, School of Engineering.
- 2015 - now. Board member of the Graduate School in Electrical Engineering
And former member of several commissions for the designation of new Academics, School of Engineering.
- 2021 - now. Member of the initiating steering group of the Belgian Reproducibility Network
- 2023 - 2028. President of the Walloon Committee for the Protection of Experimental Animals (Président du Comité Wallon pour la Protection des Animaux d’Expérience, CWPAE).
- 2017 - 2024. Board member of the “Belgian Society for Neuroscience”.
- Organization for Human Brain Mapping (OHBM) international society:
- 2022 - 2025. Treasurer and Council member;
- 2021 - 2022. "Virtual Integration Task" co-chair, for the organization of the hybrid OHBM 2022 meeting;
- 2018 - 2021. Ad hoc member of the “Program Committee”: keynote speakers, symposium and oral sessions selection;
- 2017 - 2018. Member of the “Communication Committee”.
- ImagéSanté festival, presentation about "MRI and PET applications in neuroscience" to students from graduate schools, March 2023.