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Researcher identifiers

Number of documents

109


Journal articles30 documents

  • Maëliss Jallais, Pedro Luiz Coelho Rodrigues, Alexandre Gramfort, Demian Wassermann. Inverting brain grey matter models with likelihood-free inference: a tool for trustable cytoarchitecture measurements. Journal of Machine Learning for Biomedical Imaging, Melba editors, 2022, pp.1-27. ⟨10.48550/arXiv.2111.08693⟩. ⟨hal-03417406v4⟩
  • Hyesang Chang, Lang Chen, Yuan Zhang, Ye Xie, Carlo de Los Angeles, et al.. Foundational number sense training gains are predicted by hippocampal–parietal circuits. Journal of Neuroscience, Society for Neuroscience, 2022, 42 (19), pp.JN-RM-1005-21. ⟨10.1523/JNEUROSCI.1005-21.2022⟩. ⟨hal-03670987⟩
  • Ioana Hill, Marco Palombo, Mathieu D Santin, Francesca Branzoli, Anne-Charlotte Philippe, et al.. Machine learning based white matter models with permeability: An experimental study in cuprizone treated in-vivo mouse model of axonal demyelination. NeuroImage, Elsevier, 2021, 224, pp.117425. ⟨10.1016/j.neuroimage.2020.117425⟩. ⟨hal-03164018⟩
  • Patryk Filipiak, Fabien Almairac, Théodore Papadopoulo, Denys Fontaine, Lydiane Mondot, et al.. Towards Linking Diffusion MRI based Macro-and Microstructure Measures with Cortico-Cortical Transmission in Brain Tumor Patients. NeuroImage, Elsevier, In press, ⟨10.1016/j.neuroimage.2020.117567⟩. ⟨hal-03015641⟩
  • Marc-Antoine Benderra, Ainhoa Aparicio, Judith Leblanc, Demian Wassermann, Emmanuelle Kempf, et al.. Clinical Characteristics, Care Trajectories and Mortality Rate of SARS-CoV-2 Infected Cancer Patients: A Multicenter Cohort Study. Cancers, MDPI, 2021, 13 (19), pp.4749. ⟨10.3390/cancers13194749⟩. ⟨hal-03379679⟩
  • Kamalaker Dadi, Gaël Varoquaux, Antonia Machlouzarides-Shalit, Krzysztof J. Gorgolewski, Demian Wassermann, et al.. Fine-grain atlases of functional modes for fMRI analysis. NeuroImage, Elsevier, 2020, pp.117126. ⟨hal-02904869⟩
  • Vinod Menon, Guillermo Gallardo, Mark Pinsk, Van-Dang Nguyen, Jing-Rebecca Li, et al.. Microstructural organization of human insula is linked to its macrofunctional circuitry and predicts cognitive control. eLife, eLife Sciences Publication, 2020, 9, ⟨10.7554/eLife.53470⟩. ⟨hal-02864084⟩
  • Chengran Fang, Van-Dang Nguyen, Demian Wassermann, Jing-Rebecca Li. Diffusion MRI simulation of realistic neurons with SpinDoctor and the Neuron Module. NeuroImage, Elsevier, 2020, 222, pp.117198. ⟨10.1016/j.neuroimage.2020.117198⟩. ⟨hal-03153139⟩
  • Gabriel A. Brat, Griffin M. Weber, Nils Gehlenborg, Paul Avillach, Nathan P. Palmer, et al.. International electronic health record-derived COVID-19 clinical course profiles: the 4CE consortium. npj Digital Medicine, Nature Research 2020, 3 (1), pp.#109. ⟨10.1038/s41746-020-00308-0⟩. ⟨hal-02918344⟩
  • Fabien Rech, Demian Wassermann, Hugues Duffau. New insights into the neural foundations mediating movement/language interactions gained from intrasurgical direct electrostimulations. Brain and Cognition, Elsevier, 2020, 142, pp.105583. ⟨10.1016/j.bandc.2020.105583⟩. ⟨hal-02863926⟩
  • Patryk Filipiak, Rutger H.J. Fick, Alexandra Petiet, Mathieu Santin, Anne-Charlotte Philippe, et al.. Reducing the number of samples in spatiotemporal dMRI acquisition design. Magnetic Resonance in Medicine, Wiley, 2019, ⟨10.1002/mrm.27601⟩. ⟨hal-01928734⟩
  • Lauren J. O'Donnell, Alessandro Daducci, Demian Wassermann, Christophe Lenglet. Advances in computational and statistical diffusion MRI. NMR in Biomedicine, Wiley, 2019, 32 (4), pp.e3805. ⟨10.1002/nbm.3805⟩. ⟨hal-02432249⟩
  • Van-Dang Nguyen, Massimiliano de Leoni, Tamara Dancheva, Johan Jansson, Johan Hoffman, et al.. Portable simulation framework for diffusion MRI. Journal of Magnetic Resonance, Elsevier, 2019, 309, pp.106611. ⟨10.1016/j.jmr.2019.106611⟩. ⟨hal-02431598⟩
  • Rutger H.J. Fick, Demian Wassermann, Rachid Deriche. The Dmipy Toolbox: Diffusion MRI Multi-Compartment Modeling and Microstructure Recovery Made Easy. Frontiers in Neuroinformatics, Frontiers, 2019, 13, ⟨10.3389/fninf.2019.00064⟩. ⟨hal-02400877⟩
  • Lang Chen, Demian Wassermann, Daniel Abrams, John Kochalka, Guillermo Gallardo-Diez, et al.. The visual word form area (VWFA) is part of both language and attention circuitry. Nature Communications, Nature Publishing Group, 2019, 10 (1), ⟨10.1038/s41467-019-13634-z⟩. ⟨hal-02401938⟩
  • Yi Hong, Lauren J O'Donnell, Peter Savadjiev, Fan Zhang, Demian Wassermann, et al.. Genetic load determines atrophy in hand cortico-striatal pathways in presymptomatic Huntington’s disease. Human Brain Mapping, Wiley, In press, ⟨10.1002/hbm.24217⟩. ⟨hal-01787886v2⟩
  • Rutger H.J. Fick, Alexandra Petiet, Mathieu Santin, Anne-Charlotte Philippe, Stéphane Lehéricy, et al.. Non-Parametric GraphNet-Regularized Representation of dMRI in Space and Time. Medical Image Analysis, Elsevier, 2018, 43, pp.37--53. ⟨10.1016/j.media.2017.09.002⟩. ⟨hal-01578296⟩
  • Guillermo Gallardo, William Wells Iii, Rachid Deriche, Demian Wassermann. Groupwise structural parcellation of the whole cortex: A logistic random effects model based approach. NeuroImage, Elsevier, 2018, ⟨10.1016/j.neuroimage.2017.01.070⟩. ⟨hal-01426625⟩
  • Valerie Sydnor, Ana María Rivas-Grajales, Amanda Lyall, Fan Zhang, Sylvain Bouix, et al.. A comparison of three fiber tract delineation methods and their impact on white matter analysis. NeuroImage, Elsevier, 2018, 178, pp.318-331. ⟨10.1016/j.neuroimage.2018.05.044⟩. ⟨hal-01807178⟩
  • Isaiah Norton, Ibn Essayed, Fan Zhang, Sonia Pujol, Alex Yarmarkovich, et al.. SlicerDMRI: Open Source Diffusion MRI Software for Brain Cancer Research. Cancer Research, American Association for Cancer Research, 2017, ⟨10.1158/0008-5472.CAN-17-0332⟩. ⟨hal-01564088⟩
  • Gabriel Girard, Alessandro Daducci, Laurent Petit, Jean-Philippe Thiran, Kevin Whittingstall, et al.. AxTract: Toward Microstructure Informed Tractography. Human Brain Mapping, Wiley, 2017, 38 (11), pp.5485-5500. ⟨10.1002/hbm.23741⟩. ⟨hal-01564041⟩
  • Demian Wassermann, Nikos Makris, Yogesh Rathi, Martha Shenton, Ron Kikinis, et al.. The white matter query language: a novel approach for describing human white matter anatomy. Brain Structure and Function, Springer Verlag, 2016, ⟨10.1007/s00429-015-1179-4⟩. ⟨hal-01247061⟩
  • Rutger H.J. Fick, Demian Wassermann, Emmanuel Caruyer, Rachid Deriche. MAPL: Tissue Microstructure Estimation Using Laplacian-Regularized MAP-MRI and its Application to HCP Data. NeuroImage, Elsevier, 2016, 134, pp.365-385. ⟨10.1016/j.neuroimage.2016.03.046⟩. ⟨hal-01291929⟩
  • Eleftherios Garyfallidis, Omar Cepeda, Demian Wassermann, Maxime Descoteaux. Robust and efficient linear registration of white-matter fascicles in the space of streamlines . NeuroImage, Elsevier, 2015, In press. ⟨10.1016/j.neuroimage.2015.05.016⟩. ⟨hal-01153043⟩
  • Dietsje Jolles, Demian Wassermann, Ritika Chokhani, Jennifer Richardson, Caitlin Tenison, et al.. Plasticity of left perisylvian white-matter tracts is associated with individual differences in math learning Brain Structure and Function . Brain Structure and Function, Springer Verlag, 2015, pp.15. ⟨10.1007/s00429-014-0975-6⟩. ⟨hal-01099660⟩
  • Joy T Matsui, Jatin G Vaidya, Demian Wassermann, Regina Eunyoung Kim, Vincent A Magnotta, et al.. Prefrontal cortex white matter tracts in prodromal Huntington disease.. Human Brain Mapping, Wiley, 2015, 36 (10), pp.3717-32. ⟨10.1002/hbm.22835⟩. ⟨hal-01152276⟩
  • Demian Wassermann, L. Bloy, E. Kanterakis, R. Verma, Rachid Deriche. Unsupervised white matter fiber clustering and tract probability map generation: Applications of a Gaussian process framework for white matter fibers. NeuroImage, Elsevier, 2010, 51 (1), pp.228-241. ⟨10.1016/j.neuroimage.2010.01.004⟩. ⟨inria-00496898⟩
  • Christine Delmaire, Marie Vidailhet, Demian Wassermann, Maxime Descoteaux, Romain Valabregue, et al.. Diffusion abnormalities in the primary sensorimotor pathways in writer's cramp.. Archives of Neurology -Chigago-, American Medical Association, 2009, 66 (4), pp.502-8. ⟨10.1001/archneurol.2009.8⟩. ⟨inria-00423384⟩
  • C. Lenglet, J. S. W. Campbell, Maxime Descoteaux, G. Haro, P. Savadjiev, et al.. Mathematical Models for Diffusion MRI Processing. NeuroImage, Elsevier, 2008, ⟨10.1016/j.neuroimage.2008.10.054⟩. ⟨inria-00429879⟩
  • Demian Wassermann, Maxime Descoteaux, Rachid Deriche. Diffusion Maps Clustering for Magnetic Resonance Q-Ball Imaging Segmentation. International Journal of Biomedical Imaging, Hindawi Publishing Corporation, 2008, 2008 (ID 526906), 12pp. ⟨10.1155/2008/526906⟩. ⟨inria-00429948⟩

Conference papers53 documents

  • Louis Rouillard, Demian Wassermann. ADAVI: Automatic Dual Amortized Variational Inference Applied To Pyramidal Bayesian Models. ICLR 2022, Apr 2022, Virtual, France. ⟨10.48550/arXiv.2106.12248⟩. ⟨hal-03267956v4⟩
  • Gastón E Zanitti, Majd Abdallah, Demian Wassermann. Towards Heterogeneous Data Integration: The NeuroLang Approach. OHBM 2022 - Organization for Human Brain Mapping, Jun 2022, Glasgow, United Kingdom. ⟨hal-03786717⟩
  • Maëliss Jallais, Pedro L C Rodrigues, Alexandre Gramfort, Demian Wassermann. Diffusion MRI-Based Cytoarchitecture Measurements in Brain Gray Matter using Likelihood-Free Inference. ISMRM 2021 - Annual Meeting of the International Society for Magnetic Resonance in Medicine, May 2021, Vancouver / Virtual, Canada. ⟨hal-03156307⟩
  • Gaston Zanitti, Valentin Iovene, Demian Wassermann. Verifying ontological knowledge through meta-analysis: Study cases of Pain and Consciousness. OHBM 2021 - Organization for Human Brain Mapping, Jun 2021, Virtual, France. ⟨hal-03216621⟩
  • Valentin Iovene, Gaston Zanitti, Demian Wassermann. Complex Coordinate-Based Meta-Analysis with Probabilistic Programming. Association for the Advancement of Artificial Intelligence, Feb 2021, Online, France. ⟨hal-03036125v2⟩
  • Maëliss Jallais, Pedro Luiz Coelho Rodrigues, Alexandre Gramfort, Demian Wassermann. Cytoarchitecture Measurements in Brain Gray Matter using Likelihood-Free Inference. IPMI 2021 - 27th international conference on Information Processing in Medical Imaging, Jun 2021, Rønne, Denmark. ⟨10.1007/978-3-030-78191-0_15⟩. ⟨hal-03090959v3⟩
  • Guillermo Gallardo, Gaston Zanitti, Alfred Anwander, Mat Higger, Sylvain Bouix, et al.. Lesion-Robust White-Matter Bundle Identification through Diffusion Driven Label Fusion. ISMRM 2020 - 28th Annual Meeting & Exhibition, Aug 2020, Sydney / Virtual, Australia. ⟨hal-02478087⟩
  • Patryk Filipiak, Fabien Almairac, Théodore Papadopoulo, Denys Fontaine, Lydiane Mondot, et al.. Diffusion MRI-based Connectivity Enriched with Microstructure Information Predicts the Propagation of Cortico-Cortical Evoked Potentials. ISMRM 2020 - 28th Annual Meeting & Exhibition of the International Society for Magnetic Resonance in Medicine, Aug 2020, Sydney / Virtual, Australia. ⟨hal-03008798⟩
  • Valentin Iovene, Demian Wassermann. Probabilistic Programming in neurolang: Bridging the Gap Between Cognitive Science and Statistical Modeling. 2020 OHBM - Annual Meeting of Organization for Human Brain Mapping, Jun 2020, Remote due to Covid-19, France. ⟨hal-02652244⟩
  • Maëliss Jallais, Demian Wassermann. Indetermination-free cytoarchitecture measurements in brain gray matter via a forward diffusion MRI signal separation method. ISMRM 2020 - 28th Annual Meeting & Exhibition, Aug 2020, Sydney / Virtual, Australia. ⟨hal-02477461⟩
  • Patryk Filipiak, Fabien Almairac, Théodore Papadopoulo, Denys Fontaine, Lydiane Mondot, et al.. Towards Validating Structural Connectivity in the Human Language System: An Intraoperative Cortico-Cortical Stimulation Experiment. 27th Annual ISMRM 2019 - Meeting & Exhibition of the International Society for Magnetic Resonance in Medicine, May 2019, Montreal, Canada. ⟨hal-02476639v2⟩
  • Patryk Filipiak, Rutger Fick, Alexandra Petiet, Mathieu Santin, Anne-Charlotte Philippe, et al.. Coarse-Grained Spatiotemporal Acquisition Design for Diffusion MRI. ISBI 2019 - IEEE International Symposium on Biomedical Imaging, Apr 2019, Venice, Italy. ⟨hal-01973588v2⟩
  • Nathalie T H Gayraud, Guillermo Gallardo, Maureen Clerc, Demian Wassermann. Solving the Cross-Subject Parcel Matching Problem: Comparing Four Methods Using Extrinsic Connectivity. OHBM 2018, Jun 2018, Singapore, Singapore. ⟨hal-01737366v2⟩
  • Jérôme Dockès, Demian Wassermann, Russell Poldrack, Fabian M. Suchanek, Bertrand Thirion, et al.. Text to brain: predicting the spatial distribution of neuroimaging observations from text reports. MICCAI 2018 - 21st International Conference on Medical Image Computing and Computer Assisted Intervention, Sep 2018, Granada, Spain. pp.1-18. ⟨hal-01807295v3⟩
  • Guillermo Gallardo, Nathalie Gayraud, Rachid Deriche, Maureen Clerc, Samuel Deslauriers-Gauthier, et al.. Solving the Cross-Subject Parcel Matching Problem using Optimal Transport. International Conference on Medical Image Computing and Computer-Assisted Intervention 2018, Sep 2018, Granada, Spain. ⟨hal-01935684⟩
  • Antonia Machlouzarides-Shalit, Guillermo Gallardo, Demian Wassermann. Sulcal Neuroanatomy and Relative Relationships using Spatial Gradients. Organization of Human Brain Mapping, Jun 2018, Singapore, Singapore. ⟨hal-02957840⟩
  • Rutger H.J. Fick, Demian Wassermann, Rachid Deriche. Mipy: An Open-Source Framework to improve reproducibility in Brain Microstructure Imaging. OHBM 2018 - Human Brain Mapping , Jun 2018, Singapore, Singapore. pp.1-4. ⟨hal-01722146⟩
  • Matteo Frigo, Guillermo Gallardo, Isa Costantini, Alessandro Daducci, Demian Wassermann, et al.. Reducing false positive connection in tractograms using joint structure-function filtering. OHBM 2018 - Organization for Human Brain Mapping, Jun 2018, Singapore, Singapore. pp.1-3. ⟨hal-01737434⟩
  • Guillermo Gallardo, Sylvain Bouix, Demian Wassermann. Diffusion Driven Label Fusion for White Matter Multi-Atlas Segmentation. OHBM 2018 - Organization for Human Brain Mapping, Jun 2018, Singapore, Singapore. pp.1-2. ⟨hal-01737422⟩
  • Abib Alimi, Rutger H.J. Fick, Demian Wassermann, Rachid Deriche. Dmipy, a Diffusion Microstructure Imaging toolbox in Python to improve research reproducibility. MICCAI 2018 - Workshop on Computational Diffusion MRI, Sep 2018, Granada, Spain. ⟨hal-01873353⟩
  • Lang Chen, Demian Wassermann, John Kochalka, Vinod Menon. Concordance between white-matter pathways and functional circuits linking the VWFA and IPS. Organisation for the Human Brain Mapping, Jul 2017, Vancouver, Canada. ⟨hal-01558273⟩
  • Nahuel Lascano, Guillermo Gallardo, Rachid Deriche, Dorian Mazauric, Demian Wassermann. Extracting the Groupwise Core Structural Connectivity Network: Bridging Statistical and Graph-Theoretical Approaches. Information Processing in Medical Imaging, 2017, Boone, United States. ⟨10.1007/978-3-319-59050-9_30⟩. ⟨hal-01426870v3⟩
  • Patryk Filipiak, Rutger H.J. Fick, Alexandra Petiet, Mathieu Santin, Anne-Charlotte Philippe, et al.. Spatio-Temporal dMRI Acquisition Design: Reducing the Number of $q\tau$ Samples Through a Relaxed Probabilistic Model. MICCAI 2017 Workshop on Computational Diffusion MRI (CDMRI 2017), Sep 2017, Québec City, Canada. ⟨hal-01562617v3⟩
  • Guillermo Gallardo, Nathalie Thérèse Hélène Gayraud, Maureen Clerc, Demian Wassermann. Matching parcellations using Optimal Transport: a proof of concept. Computational Brain Connectivity Mapping – Winter School Workshop 2017, Nov 2017, Juan-les-Pins, France. ⟨hal-01713345⟩
  • Rutger H.J. Fick, Alexandra Petiet, Mathieu Santin, Anne-Charlotte Philippe, Stéphane Lehéricy, et al.. Multi-Spherical Diffusion MRI: An in-vivo Test- Retest Study of Time-Dependent q-space Indices. ISMRM: 25th Annual Meeting & Exhibition, Apr 2017, Honolulu, United States. ⟨hal-01468214⟩
  • Guillermo Gallardo, Rachid Deriche, Demian Wassermann. A Novel Atlas of Human Cerebral Cortex based on Extrinsic Connectivity. OHBM 2017 - Organization for Human Brain Mapping 2017 Annual Meeting, Jun 2017, Vancouver, Canada. ⟨hal-01533516v2⟩
  • Guillermo Gallardo, Demian Wassermann, Rachid Deriche, Maxime Descoteaux, Samuel Deslauriers-Gauthier. Information Flow in the White Matter During a Motor Task: A Structural Connectivity Driven Approach. OHBM 2017 Organization for Human Brain Mapping Annual Meeting, Jun 2017, Vancouver, Canada. ⟨hal-01534978⟩
  • Guillermo Gallardo, William Wells Ill, Rachid Deriche, Demian Wassermann. Efficient Population-Representative Whole-Cortex Parcellation Based on Tractography. Organization for Human Brain Mapping 2016 Annual Meeting, Jun 2016, Genève, Switzerland. ⟨hal-01408881v2⟩
  • Gabriel Girard, Alessandro Daducci, Laurent Petit, Jean-Philippe Thiran, Kevin Whittingstall, et al.. Reducing Invalid Connections with Microstructure-Driven Tractography. ISMRM workshops: Breaking the Barriers of Diffusion MRI , Sep 2016, Lisbonne, Portugal. ⟨hal-01408737⟩
  • Guillermo Gallardo, Rutger H.J. Fick, William Wells Ill, Rachid Deriche, Demian Wassermann. Groupwise Structural Parcellation of the Cortex: A Sound Approach Based on Logistic Models. CDMRI 2016, Oct 2016, Athens, Greece. ⟨10.1007/978-3-319-54130-3_8⟩. ⟨hal-01358436⟩
  • Gabriel Girard, Alessandro Daducci, Kevin Whittingstall, Rachid Deriche, Demian Wassermann, et al.. Microstructure ­driven tractography in the human brain . Organization for Human Brain Mapping (OHBM)., Jun 2016, Geneva, Switzerland. ⟨hal-01408727⟩
  • Demian Wassermann, Dorian Mazauric, Guillermo Gallardo-Diez, Rachid Deriche. Extracting the Core Structural Connectivity Network: Guaranteeing Network Connectedness Through a Graph-Theoretical Approach. MICCAI 2016, Sep 2016, Athens, Greece. ⟨hal-01333301v2⟩
  • Rutger H.J. Fick, Alexandra Petiet, Mathieu Santin, Anne-Charlotte Philippe, Stéphane Lehéricy, et al.. Multi-Spherical Diffusion MRI: Exploring Diffusion Time Using Signal Sparsity. MICCAI 2016 Workshop on Computational Diffusion MRI (CDMRI'16), Oct 2016, Athènes, Greece. ⟨hal-01354985⟩
  • Rutger H.J. Fick, Madelaine Daianu, Marco Pizzolato, Demian Wassermann, Russel E. Jacobs, et al.. Comparison of Biomarkers in Transgenic Alzheimer Rats Using Multi-shell Diffusion MRI. MICCAI 2016 Workshop on Computational Diffusion MRI (CDMRI'16), Oct 2016, Athènes, Greece. ⟨hal-01354981⟩
  • Rutger H.J. Fick, Marco Pizzolato, Demian Wassermann, Mauro Zucchelli, Gloria Menegaz, et al.. A sensitivity analysis of q-space indices with respect to changes in axonal diameter, dispersion and tissue composition. 2016 International Symposium on Biomedical Imaging (ISBI), Apr 2016, Prague, Czech Republic. ⟨hal-01292013⟩
  • Demian Wassermann, Alexandra Petiet, Mathieu Santin, Rutger H.J. Fick, Anne-Charlotte Philippe, et al.. Quantifying White Matter Microstructure with a Unified Spatio-Temporal Diffusion Weighted MRI Continuous Representation. International Symposium of Magnetic Resonance in Medicine, 2016, Singapore, Singapore. ⟨hal-01406348⟩
  • Rutger H.J. Fick, Demian Wassermann, Marco Pizzolato, Rachid Deriche. A Unifying Framework for Spatial and Temporal Diffusion in Diffusion MRI. Information Processing in Medical Imaging (IPMI), Jun 2015, Sabhal Mor Ostaig, Isle of Skye, United Kingdom. ⟨hal-01140070⟩
  • Tobias Scheer, Fabien Mathy, Demian Wassermann. Sahin et al. (2009) en modalité non-invasive : expérience pilote et perspectives. Journée de l'axe MTC-NSC, 2015, Université Nice Sophia antipolis, Nice, France. ⟨hal-01359317⟩
  • Gabriel Girard, Rutger H.J. Fick, Maxime Descoteaux, Rachid Deriche, Demian Wassermann. AxTract: microstructure-driven tractography based on the ensemble average propagator. Information Processing in Medical Imaging, Jun 2015, Isle of Skye, United Kingdom. ⟨10.1007/978-3-319-19992-4_53⟩. ⟨hal-01152267⟩
  • Rutger H.J. Fick, Demian Wassermann, Gonzalo Sanguinetti, Rachid Deriche. Laplacian-Regularized MAP-MRI: Improving Axonal Caliber Estimation. International Symposium on BIOMEDICAL IMAGING: From Nano to Macro, Apr 2015, Brooklyn, New York City, United States. ⟨hal-01140021⟩
  • Marco Pizzolato, Demian Wassermann, Timothé Boutelier, Rachid Deriche. Exploiting the Phase in Diffusion MRI for Microstructure Recovery: Towards Axonal Tortuosity via Asymmetric Diffusion Processes. Medical Image Computing and Computer Assisted Intervention, 2015, Munich, Germany. ⟨10.1007/978-3-319-24553-9_14⟩. ⟨hal-01152672⟩
  • Marco Pizzolato, Demian Wassermann, Tanguy Duval, Jennifer S. W. Campbell, Timothé Boutelier, et al.. A Temperature Phantom to Probe the Ensemble Average Propagator Asymmetry: an In-Silico Study. Computational Diffusion Magnetic Resonance Imaging, Oct 2015, Munich, Germany. ⟨10.1007/978-3-319-28588-7_16⟩. ⟨hal-01218143⟩
  • Rutger H.J. Fick, Demian Wassermann, Gonzalo Sanguinetti, Rachid Deriche. An Analytical 3D Laplacian Regularized SHORE Basis and Its Impact on EAP Reconstruction and Microstructure Recovery. CD-MRI, Sep 2014, Boston, United States. ⟨hal-01095271⟩
  • Eleftherios Garyfallidis, Demian Wassermann, Maxime Descoteaux. Direct native-space fiber bundle alignment for group comparisons. International Society for Magnetic Resonance Imaging (ISMRM), 2014, Milan, Italy. ⟨hal-00991740⟩
  • Demian Wassermann, Matt Toews, Marc Niethammer, William (sandy) Wells Iii. Probabilistic Diffeomorphic Registration: Representing Uncertainty. Biomedical Image Registration, 2014, London, United Kingdom. pp.72 - 82, ⟨10.1007/978-3-319-08554-8_8⟩. ⟨hal-01095091v2⟩
  • James C Ross, Alejandro A Díaz, Yuka Okajima, Demian Wassermann, George R Washko, et al.. Airway Labeling Using A Hidden Markov Tree Model.. International Symposium in Biomedical Imaging, IEEE, Apr 2014, Beijing, China. pp.554-558. ⟨hal-01153117⟩
  • Demian Wassermann, James Ross, George Washko, William M Wells, Raul San Jose-Estepar. Deformable Registration of Feature-Endowed Point Sets Based on Tensor Fields. Computer Vision and Pattern Recognition, IEEE, Jun 2014, Columbus, Ohio, United States. pp.2729-2735, ⟨10.1109/CVPR.2014.355⟩. ⟨hal-01153110⟩
  • Aurobrata Ghosh, Demian Wassermann, Rachid Deriche. A Polynomial Approach for Maxima Extraction and Its Application to Tractography in HARDI. Information Processing in Medical Imaging, Jul 2011, Irsee, Germany. pp.723-734, ⟨10.1007/978-3-642-22092-0_59⟩. ⟨inria-00610195⟩
  • Pablo Barttfeld, Jorge Calvar, Sebastian Cukier, Rachid Deriche, Ramon Leiguarda, et al.. Large-scale network analysis reflects big-world characteristics in ASD. 17th Annual Meeting of the Organization on Human Brain Mapping, 2011, Quebec City, Canada. ⟨hal-00789730⟩
  • Demian Wassermann, Julien Cohen-Adad, Stéphane Lehericy, Habib Benali, Serge Rossignol, et al.. STRAIGHTENING THE SPINAL CORD USING FIBER TRACTOGRAPHY. International Symposium on Biomedical Imaging, 2010, rotterdam, Netherlands. ⟨inria-00496908⟩
  • Demian Wassermann, Julien Cohen-Adad, Stéphane Lehericy, Habib Benali, Serge Rossignol, et al.. Fully Automated Straightening of the Spinal Cord using Fiber Tractography. 18th. International Symposium on Magnetic Resonance in Medicine, 2010, Stockholm, Sweden. ⟨inria-00496905⟩
  • Demian Wassermann, Efstathios Kanterakis, Ruben C. Gur, Rachid Deriche, Ragini Verma. Diffusion-based population statistics using tract probability maps. Medical Image Computing and Computer-Assisted Intervention - MICCAI, Sep 2010, Beijing, China. pp.631-639, ⟨10.1007/978-3-642-15705-9_77⟩. ⟨hal-00849707⟩
  • Demian Wassermann, Rachid Deriche. Simultaneous Manifold Learning and Clustering: Grouping White Matter Fiber Tracts Using a Volumetric White Matter Atlas. MICCAI 2008 Workshop - Manifolds in Medical Imaging: Metrics, Learning and Beyond, Oct 2008, New-York, United States. ⟨inria-00430186⟩

Poster communications12 documents

  • Maëliss Jallais, Demian Wassermann. Indetermination-free cytoarchitecture measurements in brain gray matter via an inverse diffusion MRI signal separation method. ISMRM 2020 - International Society for Magnetic Resonance in Medicine, Aug 2020, Sydney / virtual, Australia. ⟨hal-02929598⟩
  • Antonia Machlouzarides-Shalit, Nikos Makris, Gaston Zanitti, Valentin Iovene, Guillaume M Lemaitre, et al.. NeuroLang: Representing Neuroanatomy with Sulcus-Specific Queries. Organization of Human Brain Mapping, Jun 2020, Montreal, Canada. ⟨hal-02879734⟩
  • Van-Dang Nguyen, Chengran Fang, Demian Wassermann, Jing-Rebecca Li. Diffusion MRI simulation of realistic neurons with SpinDoctor and the Neuron Module, ISMRM poster. ISMRM 2020 - 28th Annual Meeting & Exhibition, Apr 2020, Sydney, Australia. ⟨hal-02477492⟩
  • Antonia Machlouzarides-Shalit, Valentin Iovene, Nikos Makris, Demian Wassermann. A Novel Sulcal Hierarchy Based on Manually Labelled Sulci. Organization for Human Brain Mapping, Jun 2019, Rome, Italy. ⟨hal-02347268⟩
  • Patryk Filipiak, Rutger H.J. Fick, Alexandra Petiet, Mathieu Santin, Anne-Charlotte Philippe, et al.. Spatio-Temporal dMRI Acquisition Design: Reducing the Number of Samples. ISMRM 2018, Jun 2018, Paris, France. ⟨hal-01719646⟩
  • Demian Wassermann, Dang Van Nguyen, Guillermo Gallardo, Jing-Rebecca Li, Weidong Cai, et al.. Sensing Von Economo Neurons in the Insula with Multi-shell Diffusion MRI. International Society for Magnetic Resonance in Medicine, 2018, Paris, France. ⟨hal-01807704⟩
  • Fabien Almairac, Patryk Filipiak, Lavinia Slabu, Maureen Clerc, Théodore Papadopoulo, et al.. Bridging Brain Structure and Function by Correlating Structural Connectivity and Cortico-Cortical Transmission. 2nd C@UCA meeting, Jun 2018, Frejus, France. ⟨hal-01852956⟩
  • Abib Alimi, Alexandra Petiet, Mathieu Santin, Anne-Charlotte Philippe, Stéphane Lehéricy, et al.. Towards the assessment of myelination using time-dependent diffusion MRI indices. ISMRM 2018 - International Society for Magnetic Resonance in Medicine, Jun 2018, Paris, France. pp.1-4. ⟨hal-01723846⟩
  • Anne-Charlotte Philippe, Sophie Lavault, Rutger H.J. Fick, Demian Wassermann, Romain Valabregue, et al.. Brain correlates of apathy in Kleine Levin syndrome: a mean apparent propagator study. International Symposium for Magnetic Resonance in Medicine, May 2017, Honolulu, United States. ⟨hal-01558278⟩
  • Rutger H.J. Fick, Alexandra Petiet, Mathieu Santin, Anne-Charlotte Philippe, Stéphane Lehéricy, et al.. Multi-Spherical MRI: Breaking the Boundaries of Diffusion Time. ISMRM Workshop on: Breaking the Barriers of Diffusion MRI, Sep 2016, Lisbonne, Portugal. ⟨hal-01360440⟩
  • Marco Pizzolato, Demian Wassermann, Timothé Boutelier, Rachid Deriche. Exploiting the Phase in Diffusion MRI for Microstructure Recovery: Towards Axonal Tortuosity via Asymmetric Diffusion Processes. MICCAI 2015, Oct 2015, Munich, Germany. ⟨hal-01358805⟩
  • Demian Wassermann, Anne-Charlotte Philippe, Pablo Barttfeld, Bruno Wicker, Mariano Sigman, et al.. Tract-based statistical analyzes in dMRI in autism spectrum disorder. 17th Annual Meeting of the Organization for Human Brain Mapping, Jun 2011, Quebec, Canada. ⟨hal-00649766⟩

Book sections1 document

  • Maëliss Jallais, Demian Wassermann. Single Encoding Diffusion MRI: a Probe to Brain Anisotropy. Anisotropy Across Fields and Scales, 2021. ⟨hal-03141940⟩

Preprints, Working Papers, ...8 documents

  • Gaston E Zanitti, Yamil Soto, Valentin Iovene, Maria Vanina Martinez, Ricardo O Rodriguez, et al.. Scalable Query Answering under Uncertainty to Neuroscientific Ontological Knowledge: The NeuroLang Approach. 2022. ⟨hal-03187887v2⟩
  • Majd Abdallah, Valentin Iovene, Gaston Zanitti, Demian Wassermann. Meta-Analysis of the Functional Neuroimaging Literature with Probabilistic Logic Programming. 2022. ⟨hal-03590714⟩
  • Louis Rouillard, Thomas Moreau, Demian Wassermann. PAVI: Plate-Amortized Variational Inference. 2022. ⟨hal-03684389⟩
  • Majd Abdallah, Gaston Zanitti, Valentin Iovene, Demian Wassermann. Functional gradients in the human lateral prefrontal cortex revealed by a comprehensive coordinate-based meta-analysis. 2022. ⟨hal-03544221⟩
  • Guillermo Gallardo, Gaston Zanitti, Mat Higger, Sylvain Bouix, Demian Wassermann. Inferring the Localization of White-Matter Tracts using Diffusion Driven Label Fusion. 2021. ⟨hal-03360544v2⟩
  • Kamalaker Dadi, Gaël Varoquaux, Antonia Machlouzarides-Shalit, Krzysztof Jacek Gorgolewski, Demian Wassermann, et al.. Fine-grain atlases of functional modes for fMRI analysis. 2020. ⟨hal-02496156⟩
  • Vinod Menon, Guillermo Gallardo, Mark Pinsk, Van-Dang Nguyen, Jing-Rebecca Li, et al.. Quantitative modeling links in vivo microstructural and macrofunctional organization of human and macaque insular cortex, and predicts cognitive control abilities. 2020. ⟨hal-02434382⟩
  • Rutger H.J. Fick, Marco Pizzolato, Demian Wassermann, Rachid Deriche. Diffusion MRI Anisotropy: Modeling, Analysis and Interpretation. 2017. ⟨hal-01468675⟩

Reports2 documents

  • Demian Wassermann, Luke Bloy, Efstathios Kanterakis, Ragini Verma, Rachid Deriche. Unsupervised White Matter Fiber Clustering and Tract Probability Map Generation: Applications of a Gaussian Process framework for White Matter Fibers. [Research Report] RR-7005, INRIA. 2009, pp.35. ⟨inria-00407828v2⟩
  • Demian Wassermann, Maxime Descoteaux, Rachid Deriche. Spectral Clustering en IRM de diffusion pour Retrouver les Faisceaux de la Matière Blanche. [Research Report] RR-6351, INRIA. 2007, pp.52. ⟨inria-00186861v2⟩

Theses1 document

  • Demian Wassermann. Automated In Vivo Dissection of White Matter Structures from Diffusion Magnetic Resonance Imaging. Medical Imaging. Université Nice Sophia Antipolis, 2010. English. ⟨tel-00827022⟩

Habilitation à diriger des recherches1 document

  • Demian Wassermann. Microstructure, Macrostructure, and Cognition. A walk in Diffusion MRI. Biological Physics [physics.bio-ph]. Sorbonne Université, 2019. ⟨tel-02475380⟩

Videos1 document

  • Marco Pizzolato, Demian Wassermann, Timothé Boutelier, Rachid Deriche. Exploiting the Phase in Diffusion MRI for Microstructure Recovery: Towards Axonal Tortuosity via Asymmetric Diffusion Processes. 2015. ⟨medihal-01358880⟩