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★★★★★
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USD 70 /hr
Hire Dr. Juan P.
France
USD 70 /hr

Deep learning | Python | Optimization | Medical imaging

Profile Summary
Subject Matter Expertise
Services
Research Scientific and Technical Research
Consulting Scientific and Technical Consulting
Data & AI Predictive Modeling, Image Processing
Product Development Formulation, Prototyping
Work Experience

Freelancer consultant | R & D Engineer

AMIDS Solutions

2022 - Present

R & D Engineer | Deep learning | Image Processing

Carestream Dental

2020 - 2021

Marie Skłodowska-Curie Fellowship | Deep learning | Sparse reconstruction

Institut National des Sciences Appliquées de Lyon

January 2016 - December 2020

Postdoc | Sparse reconstruction | Medical Imaging

Universidad Carlos III de Madrid

September 2009 - April 2016

R&D Engineering

Alten Engineering (Spain)

June 2008 - July 2009

Post-doc

Ecole Superieure d'Electricite

2007 - 2008

Education

Ph.D. Medical Physics/Computer Science (Medical Physics & Bioengineering)

University College London

2004 - 2007

M.Sc. Applied Mathematics (School of Mathematics)

University of Manchester

2003 - 2004

B.Sc./M.Sc. Theoretical Physics (Physics)

Universidad Autónoma de Madrid

1997 - 2002

Certifications
  • Certification details not provided.
Publications
JOURNAL ARTICLE
Chappard, C., Abascal, J., Olivier, C., Si-Mohamed, S., Boussel, L., Piala, J.B., Douek, P., Peyrin, F.(2022). Virtual monoenergetic images from photon-counting spectral computed tomography to assess knee osteoarthritis . European Radiology Experimental. 6. (1).
J F P J Abascal, Valeriya Pronina, Antonio Tomas Lorente Mur, Juan F. P. J. Abascal, Françoise Peyrin, Dmitry V. Dylov, Nicolas Ducros(2021). 3D denoised completion network for deep single-pixel reconstruction of hyperspectral images . Optics Express. 29. (24). p. 39559. Optica Publishing Group
Pronina, V., Mur, A.L., Abascal, J.F.P.J., Peyrin, F., Dylov, D.V., Ducros, N.(2021). 3D denoised completion network for deep single-pixel reconstruction of hyperspectral images . Optics Express. 29. (24). p. 39559-39573.
Abascal, J.F.P.J., Ducros, N., Pronina, V., Rit, S., Rodesch, P.-A., Broussaud, T., Bussod, S., Douek, P.C., Hauptmann, A., Arridge, S., et al.(2021). Material Decomposition in Spectral CT Using Deep Learning: A Sim2Real Transfer Approach . IEEE Access. 9. p. 25632-25647.
Juan F. P. J. Abascal, Nicolas Ducros, Valeriya Pronina, Simon Rit, Pierre-Antoine Rodesch, Thomas Broussaud, Suzanne Bussod, Philippe C. Douek, Andreas Hauptmann, Simon Arridge, et al.(2021). Material Decomposition in Spectral CT Using Deep Learning: A Sim2Real Transfer Approach . IEEE Access. 9. p. 25632--25647. Institute of Electrical and Electronics Engineers ({IEEE})
Landry, G., Dörringer, F., Si-Mohamed, S., Douek, P., Abascal, J.F.P.J., Peyrin, F., Almeida, I.P., Verhaegen, F., Rinaldi, I., Parodi, K., et al.(2019). Technical Note: Relative proton stopping power estimation from virtual monoenergetic images reconstructed from dual-layer computed tomography . Medical Physics. 46. (4). p. 1821-1828.
Li, F., Soleimani, M., Abascal, J.(2019). Planar array magnetic induction tomography further improvement . Sensor Review. 39. (2). p. 257-268.
J F P J Abascal, N Ducros, F Peyrin(2018). Nonlinear material decomposition using a regularized iterative scheme based on the Bregman distance . Inverse Problems. 34. (12). p. 124003. {IOP} Publishing
Bo Chen, Juan Abascal, Manuchehr Soleimani(2018). Extended Joint Sparsity Reconstruction for Spatial and Temporal ERT Imaging . Sensors. 18. (11). p. 4014. {MDPI} {AG}
Bo Chen, J F P J Abascal, Manuchehr Soleimani (2018). Extended Joint Sparsity Reconstruction for Spatial and Temporal ERT Imaging . Sensors.
Carl Tholin-Chittenden, Juan Felipe Perez-Juste Abascal, Manuchehr Soleimani(2018). Automatic Parameter Selection of Image Reconstruction Algorithms for Planar Array Capacitive Imaging . IEEE Sensors Journal. 18. (15). p. 6263--6272. Institute of Electrical and Electronics Engineers ({IEEE})
(2018). Electrical Resistance Tomography for Visualization of Moving Objects Using a Spatiotemporal Total Variation Regularization Algorithm . Sensors.
Juan F. P. J. Abascal, Manuel Desco, Juan Parra-Robles(2018). Incorporation of Prior Knowledge of Signal Behavior Into the Reconstruction to Accelerate the Acquisition of Diffusion MRI Data . IEEE Transactions on Medical Imaging. 37. (2). p. 547--556. Institute of Electrical and Electronics Engineers ({IEEE})
Tholin-Chittenden, C., Abascal, J.F.P.-J., Soleimani, M.(2018). Automatic parameter selection of image reconstruction algorithms for planar array capacitive imaging . IEEE Sensors Journal. 18. (15). p. 6263-6272.
Abascal, J.F.P.J., Desco, M., Parra-Robles, J.(2018). Incorporation of Prior Knowledge of Signal Behavior into the Reconstruction to Accelerate the Acquisition of Diffusion MRI Data . IEEE Transactions on Medical Imaging. 37. (2). p. 547-556.
Chen, B., Abascal, J.F.P.J., Soleimani, M.(2018). Electrical resistance tomography for visualization of moving objects using a spatiotemporal total variation regularization algorithm . Sensors (Switzerland). 18. (6).
Chen, B., Abascal, J.F.P.J., Soleimani, M.(2018). Extended joint sparsity reconstruction for spatial and temporal ERT imaging . Sensors (Switzerland). 18. (11).
Abascal, J.F.P.J., Ducros, N., Peyrin, F.(2018). Nonlinear material decomposition using a regularized iterative scheme based on the Bregman distance . Inverse Problems. 34. (12).
(2017). Incorporation of prior knowledge of the signal behavior into the reconstruction to accelerate the acquisition of MR diffusion data . IEEE Trans Med Imaging.
(2017). Regularization of Nonlinear Decomposition of Spectral X-ray Projection Images . Medical Physics.
Assi, K.C., Gay, E., Chnafa, C., Mendez, S., Nicoud, F., Abascal, J.F.P.J., Lantelme, P., Tournoux, F., Garcia, D.(2017). Intraventricular vector flow mapping - A Doppler-based regularized problem with automatic model selection . Physics in Medicine and Biology. 62. (17). p. 7131-7147.
Ducros, N., Abascal, J.F.P.-J., Sixou, B., Rit, S., Peyrin, F.(2017). Regularization of nonlinear decomposition of spectral x-ray projection images . Medical Physics. 44. (9). p. e174-e187.
Li, F., Abascal, J.F.P.J., Desco, M., Soleimani, M.(2017). Total Variation Regularization with Split Bregman-Based Method in Magnetic Induction Tomography Using Experimental Data . IEEE Sensors Journal. 17. (4). p. 976-985.
(2016). A Novel Prior- and Motion-Based Compressed Sensing Method for Small-Animal Respiratory Gated CT . PLOS ONE.
Abascal, J.F.P.J., Abella, M., Marinetto, E., Pascau, J., Desco, M.(2016). A novel prior- and motion-based compressed sensing method for small-animal respiratory gated CT . PLoS ONE. 11. (3).
Al Hosani, E., Zhang, M., Abascal, J.F.P.J., Soleimani, M.(2016). Imaging metallic samples using electrical capacitance tomography: Forward modelling and reconstruction algorithms . Measurement Science and Technology. 27. (11).
Chavarrías, C., Abascal, J.F.P.J., Montesinos, P., Desco, M.(2015). Erratum: Exploitation of temporal redundancy in compressed sensing reconstruction of fMRI studies with a prior-based algorithm (PICCS) (Medical Physics (2015) 42 (3814-3821)) . Medical Physics. 42. (8). p. 4997.
(2015). Investigation of different sparsity transforms for the PICCS algorithm in small-animal respiratory gated CT . Plos One.
Abascal, J.F.P.J., Abella, M., Sisniega, A., Vaquero, J.J., Desco, M.(2015). Investigation of different sparsity transforms for the PICCS algorithm in small-animal respiratory gated CT . PLoS ONE. 10. (4).
Chavarrías, C., Abascal, J.F.P.J., Montesinos, P., Desco, M.(2015). Exploitation of temporal redundancy in compressed sensing reconstruction of fMRI studies with a prior-based algorithm (PICCS) . Medical Physics. 42. (7). p. 3814-3821.
(2015). Exploitation of temporal redundancy in compressed sensing reconstruction of fMRI studies with a prior-based algorithm (PICCS) . Medical Physics.
(2014). Application of the compressed sensing technique to self-gated cardiac cine sequences in small animals . Magnetic Resonance in Medicine.
Montesinos, P., Abascal, J.F.P.J., Cussõ, L., Vaquero, J.J., Desco, M.(2014). Application of the compressed sensing technique to self-gated cardiac cine sequences in small animals . Magnetic Resonance in Medicine. 72. (2). p. 369-380.
(2014). Comparison of total variation with a motion estimation based compressed sensing approach for self-gated cardiac cine MRI in small animal studies . Plos One.
Abascal, J.F.P.J., Montesinos, P., Marinetto, E., Pascau, J., Desco, M.(2014). Comparison of total variation with a motion estimation based compressed sensing approach for self-gated cardiac cine MRI in small animal studies . PLoS ONE. 9. (10).
(2013). Use of Split Bregman denoising for iterative reconstruction in fluorescence diffuse optical tomography . J Biomed Opt.
Chamorro-Servent, J., Abascal, J.F.P.J., Aguirre, J., Arridge, S., Correia, T., Ripoll, J., Desco, M., Vaquero, J.J.(2013). Use of split bregman denoising for iterative reconstruction in fluorescence diffuse optical tomography . Journal of Biomedical Optics. 18. (7).
(2012). Influence of Absorption and Scattering on the Quantification of Fluorescence Diffuse Optical Tomography using Normalized Data . J Biomed Opt.
Perez-Juste Abascal, J.F., Aguirre, J., Chamorro-Servent, J., Schweiger, M., Arridge, S., Ripoll, J., Vaquero, J.J., Desco, M.(2012). Influence of absorption and scattering on the quantification of fluorescence diffuse optical tomography using normalized data . Journal of Biomedical Optics. 17. (3).
(2012). Fluorescence diffuse optical tomography using the split Bregman method . Med Phys.
Abascal, J.F.P.-J., Chamorro-Servent, J., Aguirre, J., Arridge, S., Correia, T., Ripoll, J., Vaquero, J.J., Desco, M.(2011). Fluorescence diffuse optical tomography using the split Bregman method . Medical Physics. 38. (11). p. 6275-6284.
(2011). Split operator method for fluorescence diffuse optical tomography using anisotropic diffusion regularisation with prior anatomical information . Biomedical Optics Express.
(2011). Electrical impedance tomography in anisotropic media with known eigenvectors . Inverse Problems.
Abascal, J.-F.P.J., Lionheart, W.R.B., Arridge, S.R., Schweiger, M., Atkinson, D., Holder, D.S.(2011). Electrical impedance tomography in anisotropic media with known eigenvectors . Inverse Problems. 27. (6).
Correia, T., Aguirre, J., Sisniega, A., Chamorro-Servent, J., Abascal, J., Vaquero, J.J., Desco, M., Kolehmainen, V., Arridge, S.(2011). Split operator method for fluorescence diffuse optical tomography using anisotropic diffusion regularisation with prior anatomical information . Biomedical Optics Express. 2. (9). p. 2632-2648.
(2009). Factors limiting the application of electrical impedance tomography for identification of regional conductivity changes using scalp electrodes during epileptic seizures in humans . Physiol. Meas.
(2008). Comparison of methods for optimal choice of the regularization parameter for linear electrical impedance tomography of brain function . Physiol. Meas.
Abascal, J.F.P.J., Lambert, M., Lesselier, D., Dorn, O.(2008). 3-D eddy-current imaging of metal tubes by gradient-based, controlled evolution of level sets . IEEE Transactions on Magnetics. 44. (12). p. 4721-4729.
(2008). Use of anisotropic modelling in electrical impedance tomography; Description of method and preliminary assessment of utility in imaging brain function in the adult head . NeuroImage.
Abascal, J.-F.P.J., Arridge, S.R., Atkinson, D., Horesh, R., Fabrizi, L., De Lucia, M., Horesh, L., Bayford, R.H., Holder, D.S.(2008). Use of anisotropic modelling in electrical impedance tomography; Description of method and preliminary assessment of utility in imaging brain function in the adult human head . NeuroImage. 43. (2). p. 258-268.
Abascal, J.-F.P.J., Arridge, S.R., Bayford, R.H., Holder, D.S.(2008). Comparison of methods for optimal choice of the regularization parameter for linear electrical impedance tomography of brain function . Physiological Measurement. 29. (11). p. 1319-1334.
(2008). 3D Eddy-Current imaging of metal tubes by gradient-based, controlled evolution of level sets . IEEE Transactions on Magnetics.
(2007). Validation of a finite-element solution for electrical impedance tomography in an anisotropic medium . Physiol. Meas.
Abascal, J.-F.P.J., Arridge, S.R., Lionheart, W.R.B., Bayford, R.H., Holder, D.S.(2007). Validation of a finite-element solution for electrical impedance tomography in an anisotropic medium . Physiological Measurement. 28. (7).
Fabrizi, L., Sparkes, M., Horesh, L., Perez-Juste Abascal, J.F., McEwan, A., Bayford, R.H., Elwes, R., Binnie, C.D., Holder, D.S.(2006). Factors limiting the application of electrical impedance tomography for identification of regional conductivity changes using scalp electrodes during epileptic seizures in humans . Physiological Measurement. 27. (5).
OTHER
Garcelon, C., Abascal, J., Olivier, C., Uk, S., Si-Mohamed, S., Ea, H.-K., Douek, P., Peyrin, F., Chappard, C.(2022). Quantification of cartilage and subchondral bone cysts on knee specimens based on a spectral photon-counting computed tomography . ResearchSquare.
Abascal, J.F.P.J., Desco, M., Parra-Robles, J.(2017). Incorporation of prior knowledge of the signal behavior into the reconstruction to accelerate the acquisition of MR diffusion data . arXiv.
CONFERENCE PAPER
J F P J Abascal, J. F. P. J. Abascal, S. Bussod, N. Ducros, S. Si-Mohamed, P. Douek, C. Chappard, F. Peyrin(2021). A residual U-Net network with image prior for 3D image denoising . 2020 28th European Signal Processing Conference (EUSIPCO). {IEEE}
Abascal, J.F.P.J., Bussod, S., Ducros, N., Si-Mohamed, S., Douek, P., Chappard, C., Peyrin, F.(2021). A residual U-Net network with image prior for 3D image denoising . European Signal Processing Conference. 2021-January. p. 1264-1268.
Bussod, S., Abascal, J.F.P.J., Arridge, S., Hauptmann, A., Chappard, C., Ducros, N., Peyrin, F.(2021). Convolutional neural network for material decomposition in spectral CT scans . European Signal Processing Conference. 2021-January. p. 1259-1263.
(2020). Material Decomposition Problem in Spectral CT: A Transfer Deep Learning Approach . 2020 IEEE 17th International Symposium on Biomedical Imaging Workshops (ISBI Workshops).
J F P J Abascal, J Abascal, N Ducros, V Pronina, S Bussod, A Hauptmannz, S Arridge, P Douek, F Peyrin(2020). Material Decomposition Problem in Spectral CT: A Transfer Deep Learning Approach . 2020 IEEE 17th International Symposium on Biomedical Imaging Workshops (ISBI Workshops). {IEEE}
Abascal, J., Ducros, N., Pronina, V., Bussod, S., Hauptmannz, A., Arridge, S., Douek, P., Peyrin, F.(2020). Material Decomposition Problem in Spectral CT: A Transfer Deep Learning Approach . ISBI Workshops 2020 - International Symposium on Biomedical Imaging Workshops, Proceedings.
Abascal, J.F.P.J., Chappard, C., Si-Mohamed, S., Douek, P., Peyrin, F.(2019). A sparse and prior based method for 3D image denoising . European Signal Processing Conference. 2019-September.
Bussod, S., Abascal, J.F.P.J., Ducros, N., Olivier, C., Si-Mohamed, S., Douek, P., Chappard, C., Peyrin, F.(2019). Human knee phantom for spectral CT: Validation of a material decomposition algorithm . Proceedings - International Symposium on Biomedical Imaging. 2019-April. p. 1170-1173.
Goubet, C., Langer, M., Peyrin, F., Abascal, J.F.P.J.(2018). Low-dose synchrotron nano-CT via compressed sensing . Proceedings - International Symposium on Biomedical Imaging. 2018-April. p. 328-331.
(2017). Sparse reconstruction methods in x-ray CT . SPIE Optical Engineering + Applications, 2017, San Diego, California, United States.
Abascal, J.F.P.J., Lage, E., Herraiz, J.L., Martino, M.E., Desco, M., Vaquero, J.J.(2017). Dynamic PET reconstruction using the split Bregman formulation . 2016 IEEE Nuclear Science Symposium, Medical Imaging Conference and Room-Temperature Semiconductor Detector Workshop, NSS/MIC/RTSD 2016. 2017-January.
Abascal, J.F.P.J., Abella, M., Mory, C., Ducros, N., De Molina, C., Marinetto, E., Peyrin, F., Desco, M.(2017). Sparse reconstruction methods in x-ray CT . Proceedings of SPIE - The International Society for Optical Engineering. 10391.
Abella, M., Abascal, J.F.P.-J., Marinetto, E., Vaquero, J.J., Desco, M.(2016). Novel 4D image reconstruction for dynamic X-ray computed tomography in slow rotating scanners . 2014 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2014.
De Molina, C., Abascal, J.F.P.-J., Pascau, J., Desco, M., Abella, M.(2016). Evaluation of the possibilities of limited angle reconstruction for the use of digital Radiography system as a tomograph . 2014 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2014.
Abascal, J.F.P.-J., Montesinos, P., Marinetto, E., Pascau, J., Vaquero, J.J., Desco, M.(2014). A prior-based image variation (PRIVA) approach applied to motion-based compressed sensing cardiac cine MRI . IFMBE Proceedings. 41. p. 233-236.
(2014). A Prior-Based Image Variation (PRIVA) Approach Applied to Motion-Based Compressed Sensing Cardiac Cine MRI . XIII Mediterranean Conference on Medical and Biological Engineering and Computing 2013, IFMBE Proceedings.
(2014). Compressed Sensing for Cardiac MRI Cine Sequences: A Real Implementation on a Small-Animal Scanner . XIII Mediterranean Conference on Medical and Biological Engineering and Computing 2013, IFMBE Proceedings.
Montesinos, P., Abascal, J.F.P.J., Chavarrías, C., Vaquero, J.J., Desco, M.(2014). Compressed sensing for cardiac MRI cine sequences: A real implementation on a small-animal scanner . IFMBE Proceedings. 41. p. 214-217.
(2014). Evaluation of the Possibilities of Limited Angle Reconstruction for the use of Digital Radiography System as a Tomograph . IEEE Nuclear Science Symposium and Medical Imaging Conference.
Chavarrias, C., Abascal, J.F.P.J., Montesinos, P., Desco, M.(2014). How does compressed sensing affect activation maps in rat fMRI? . IFMBE Proceedings. 41. p. 202-205.
(2014). How Does Compressed Sensing Affect Activation Maps in Rat fMRI? XIII Mediterranean Conference on Medical and Biological Engineering and Computing 2013 . XIII Mediterranean Conference on Medical and Biological Engineering and Computing 2013, IFMBE Proceedings.
(2014). Iterative Dual-Energy Material Decomposition for Slow kVp Switching: A Compressed Sensing Approach . XIII Mediterranean Conference on Medical and Biological Engineering and Computing 2013, IFMBE Proceedings.
Sisniega, A., Abascal, J., Abella, M., Chamorro, J., Desco, M., Vaquero, J.J.(2014). Iterative dual-energy material decomposition for slow kVp switching: A compressed sensing approach . IFMBE Proceedings. 41. p. 491-494.
(2014). Split Bregman-Singular Value Analysis Approach to Solve the Compressed Sensing Problem of Fluorescence Diffuse Optical Tomography . XIII Mediterranean Conference on Medical and Biological Engineering and Computing 2013, IFMBE Proceedings.
Chamorro-Servent, J., Abascal, J.F.P.J., Ripoll, J., Vaquero, J.J., Desco, M.(2014). Split Bregman-Singular Value Analysis approach to solve the Compressed Sensing problem of fluorescence diffuse optical tomography . IFMBE Proceedings. 41. p. 415-418.
Abascal, J., Sisniega, A., Chavarrias, C., Vaquero, J.J., Desco, M., Abella, M.(2012). Investigation of different Compressed Sensing approaches for respiratory gating in small animal CT . IEEE Nuclear Science Symposium Conference Record. p. 3344-3346.
(2012). Iterative Dual-Energy Raw Data Decomposition for Slow kVp Switching: a Feasibility Study. IEEE Nuclear Science Symposium and Medical Imaging Conference.
(2012). Investigation of Different Compressed Sensing Approaches for Respiratory Gating in Small Animal CT . IEEE Nuclear Science Symposium and Medical Imaging Conference.
(2011). Uso del método de Split Bregman para la resolución del problema de compressed sensing en imagen de resonancia magnética dinámica cardiaca para pequeño animal. Libro de actas del XXIX Congreso Anual de la Sociedad Española de Ingeniería Biomédica (CASEIB).
(2011). ART with Split Bregman Denoising: a Reconstruction Method for Fluorescence Diffuse Optical Tomography. IEEE Nuclear Science Symposium and Medical Imaging Conference.
(2011). High-Resolution Dynamic Cardiac MRI on Small Animals Using Reconstruction Based on Split Bregman Methodology . IEEE Nuclear Science Symposium and Medical Imaging Conference.
Montesinos, P., Pérez-Juste Abascal, J.F., Chamorro, J., Chavarrías, C., Benito, M., Vaquero, J.J., Desco, M.(2011). High-resolution dynamic cardiac MRI on small animals using reconstruction based on Split Bregman methodology . IEEE Nuclear Science Symposium Conference Record. p. 3462-3464.
(2011). Imaging features of an FDOT system with optimized ART parameters. Proceedings del XXVIII Congreso Anual de la Sociedad Española de Ingeniería Biomédica (CASEIB).
(2011). Optimización del diseño experimental FDOT de órganos de animal pequeño a través del análisis de valores singulares. Proceedings del XXVIII Congreso Anual de la Sociedad Española de Ingeniería Biomédica (CASEIB).
(2011). Reconstrucción de Tomografía Óptica Difusiva por Fluorescencia usando Compressed Sensing Split Bregman. Resúmenes del XXIX Congreso Anual de la Sociedad Española de Ingeniería Biomédica (CASEIB).
(2009). Nonlinearized mapping of volumetric defects affecting a metal tube . Electromagnetic Non--Destructive Evaluation (XII).
(2008). Validation of a finite element solution for electrical impedance tomography in an anisotropic medium . 13th International Conference on Electrical Bioimpedance and the 8th Conference on Electrical Impedance Tomography, IFMBE Proceedings.
Abascal, J.-F.P.J., Arridge, S.R., Lionheart, W.R.B., Bayford, R.H., Holder, D.S.(2007). Validation of a finite element solution for electrical impedance tomography in an anisotropic medium . IFMBE Proceedings. 17 IFMBE. p. 372-375.
(2005). EIT during epileptic seizures: not an easy task. Conference on Biomedical Applications of Electrical Impedance Tomography.
(2005). Selecting the regularisation parameter for linear Electrical Impedance Tomography of brain function. Conference on Biomedical Applications of Electrical Impedance Tomography.
(2004). Rank analysis of the anisotropic inverse conductivity problem. Conference on Electrical Bioimpedance and Electrical Impedance Tomography.
(2004). Simultaneous reconstruction of the boundary shape and conductivity in 3D electrical impedance tomography. Conference on Electrical Bioimpedance and Electrical Impedance Tomography, Gdansk.
BOOK
Abascal, J., Patricio, M.A., Berlanga, A., Molina, J.M.(2019). New Approach for the Aesthetic Improvement of Images Through the Combination of Convolutional Neural Networks and Evolutionary Algorithms . Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 11734 LNAI. p. 229-240.
Abascal, J.F., Lambert, M., Lesselier, D., Dorn, O.(2009). Nonlinearized mapping of volumetric defects affecting a metal tube . Studies in Applied Electromagnetics and Mechanics. 32. p. 172-179.
MAGAZINE ARTICLE
(2017). Intraventricular vector flow mapping - A Doppler-based regularized problem with automatic model selection . Phys Med Biol .
(2016). Total variation regularization with split Bregman-based method in magnetic induction tomography using experimental data . IEEE Sensors Journal.
(2011). Split operator method for fluorescence diffuse optical tomography using anisotropic diffusion regularisation with prior anatomical information . Biomed Opt Express.
CONFERENCE ABSTRACT
(2017). Nonlinear material decomposition for X-ray spectral CT imaging using a Bregman Iterative approach. Recherche en Imagerie et Technologies pour la Santé (RITS) 2017, Mar 2017, Lyon, France.
(2017). Nonlinear material decomposition using a regularized iterative scheme based on the Bregman distance . IMA Conference on Inverse Problems from Theory to Application, Cambridge, UK, 2017.
(2017). Imagerie X spectrale: Décomposition en base de matériaux par calibration polynomiale. Recherche en Imagerie et Technologies pour la Santé (RITS) 2017, Mar 2017, Lyon, France.
(2015). Initial Evaluation of a New Line-Based Approach For Image-To-World Registration In Image-Guided Interventions. Computer Assisted Radiology and Surgery.
(2014). Investigation on 4D Statistical Image Reconstruction for Dynamic X-Ray Computed Tomography. IEEE Nuclear Science Symposium and Medical Imaging Conference.
(2014). Novel 4D Image Reconstruction for Dynamic X-Ray Computed Tomography in Slow Rotating Scanners. IEEE Nuclear Science Symposium and Medical Imaging Conference (2014 NSS/MIC).
(2014). Spatiotemporal Total Variation reconstruction for Dynamic PET. IEEE Nuclear Science Symposium and Medical Imaging Conference (2014 NSS/MIC).
CONFERENCE POSTER
(2016). Dynamic PET Reconstruction using the split Bregman formulation. IEEE Nuclear Science Symposium and Medical Imaging Conference.
(2016). Incorporation of prior knowledge of the signal behavior into the compressed sensing framework for accelerated acquisition in hyperpolarized gas diffusion MRI. ISMRM.
(2016). Study of the possibilities of Surface-Constrained Compressed Sensing (SCCS) Method for Limited-View Tomography in CBCT systems. . Proceedings of 4th International Conference on Image Formation in X-Ray Computed Tomography.
DISSERTATION THESIS
(2007). Improvements in reconstruction algorithms for electrical Impedance Tomography of brain function. Ph.D. thesis, Dept. of Medical Physics and Bioengineering, University College London, UK.
(2003). The anisotropic inverse conductivity problem. MSc Thesis, Dept. of Mathematics, The University of Manchester, UK.