I’m working in the Image Processing Lab under the supervision of Dr D. Louis Collins. My research is focus in the development of new automatic techniques and pipelines to study Multiple Sclerosis (MS) using conventional MRI. In particular, I’m working in the longitudinal and cross-sectional atrophy analysis to better understand the disease and predict their evolution.

In 2010, I finished my Ph.D. in the VisAGeS team (INRIA, Rennes, France) in the robust segmentation of MS lesions. I received my M.Sc. from Telecom-Bretagne (Brest, France) in image processing and artificial intelligence and my M.Eng. in telecommunications from the Universidad de Valladolid (Valladolid, Spain).

Publications

Thesis

  1. Daniel García-Lorenzo. Robust Segmentation of Focal Lesions on Multi-Sequence MRI in Multiple Sclerosis. Université de Rennes I, 2010.

Journal Papers

  1. Lei Lin; Daniel García-Lorenzo; Chong Li; Tianzi Jiang; Christian Barillot. Adaptive Pixon Represented Segmentation (APRS) for 3D MR Brain Images Based on Mean Shift and Markov Random Fields. Accepted in Pattern Recognition Letters
  2. García-Lorenzo, D.; Prima, S.; Arnold, D.; Collins, D.; Barillot, C. Trimmed-Likelihood Estimation for Focal Lesions and Tissue Segmentation in Multi-Sequence MRI for Multiple Sclerosis. Accepted in IEEE Transactions on Medical Imaging
  3. Claire Haegelen, Daniel García-Lorenzo, Florence Le Jeune, Julie Péron, Bernard Gibaud, Laurent Riffaud, Gilles Brassier, Christian Barillot, Marc Vérin and Xavier Morandi. SPECT and PET analysis of subthalamic stimulation in Parkinson’s disease: analysis using a manual segmentation. Journal of Neurology. Volume 257, Number 3, 375–382.

International Conference Papers

  1. Forbes, Florence, Doyle, Senan, García-Lorenzo, Daniel, Barillot, Christian, et Dojat, Michel. Adaptive weighted fusion of multiple MR sequences for brain lesion segmentation, IEEE International Symposium on Biomedical Imaging (ISBI’2010) pp.69–72
  2. Forbes, Florence, Doyle, Senan, García-Lorenzo, Daniel, Barillot, Christian, et Dojat, Michel. A Weighted Multi-Sequence Markov Model For Brain Lesion Segmentation, Thirteenth International Conference on Artificial Intelligence and Statistics (AISTATS) vol.9, 2010.
  3. García-Lorenzo, Daniel, Lecoeur, Jérémy, Arnold, D.L., Collins, D. Louis, Barillot, Christian. Multiple Sclerosis lesion segmentation using an automatic multimodal Graph Cuts, Medical Image Computing and Computer Assisted Intervention, MICCAI 2009 pdf
  4. García-Lorenzo, Daniel, Prima, Sylvain, Parkes, L., Morrissey, S. P., Ferré, Jean-Christophe, Barillot, Christian. The impact of processing workflow in performance of automatic white matter lesion segmentation in Multiple Sclerosis, MICCAI Workshop in Medical Image Analysis for Multiple Sclerosis (MIAMS) pp.104–112, 2008. pdf
  5. García-Lorenzo, Daniel, Prima, Sylvain, Collins, D. Louis, Arnold, D.L., Morrissey, S.P., et Barillot, Christian. Combining Robust Expectation Maximization and Mean Shift algorithms for Multiple Sclerosis Brain Segmentation, MICCAI Workshop in Medical Image Analysis for Multiple Sclerosis (MIAMS) pp.82–91, 2008. pdf
  6. García-Lorenzo, Daniel, Prima, Sylvain, Morrissey, S.P., et Barillot, Christian. A robust Expectation-Maximization algorithm for Multiple Sclerosis lesion segmentation, IJ - 2008 MICCAI Workshop - MS Lesion Segmentation. pdf
  7. García-Lorenzo, Daniel, Prima, Sylvain, Ferré, Jean-Chistophe, Parkes, L., Gauvrit, J.-Y., Morrissey, S.P., et Barillot, Christian. Quantitative evaluation of intensity inhomogeneity correction algorithms for Multiple Sclerosis, Computer Assisted Radiology and Surgery 2008 vol.3.
  8. García-Lorenzo, Daniel, Prima, Sylvain, Collins, D. Louis, Arnold, D.L., Barillot, Christian, et Morrissey, S.P. Multiple Sclerosis (MS) Brain segmentation combining robust Expectation Maximization (EM) and Mean Shift (MeS), 25th Annual Meeting of the ESMRMB, 2008.
  9. García-Lorenzo, Daniel, Prima, Sylvain, Parkes, L., Ferré, Jean-Chistophe, Roberts, N., Gauvrit, Jean-Yves, Edan, G., Barillot, Christian, Morrissey, S.P. Performance of automatic white matter lesion segmentation in multiple sclerosis depends on choice of image processing workflow, 18th European Neurological Society Meeting, 2008.

Software

  1. My segmentation algorithms can be employed online in this here (thanks to A. Abadie)