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2020 – today
- 2023
[j18]Gaston E. Zanitti
, Yamil Soto, Valentin Iovene, Maria Vanina Martinez, Ricardo Oscar Rodríguez, Gerardo I. Simari, Demian Wassermann:
Scalable Query Answering Under Uncertainty to Neuroscientific Ontological Knowledge: The NeuroLang Approach. Neuroinformatics 21(2): 407-425 (2023)- [j17]Chengran Fang, Demian Wassermann, Jing-Rebecca Li:
Fourier Representation of the Diffusion MRI Signal Using Layer Potentials. SIAM J. Appl. Math. 83(1): 99-121 (2023) - [e1]Alejandro F. Frangi, Marleen de Bruijne, Demian Wassermann, Nassir Navab:
Information Processing in Medical Imaging - 28th International Conference, IPMI 2023, San Carlos de Bariloche, Argentina, June 18-23, 2023, Proceedings. Lecture Notes in Computer Science 13939, Springer 2023, ISBN 978-3-031-34047-5 [contents] - [i11]Louis Rouillard, Alexandre Le Bris, Thomas Moreau, Demian Wassermann:
PAVI: Plate-Amortized Variational Inference. CoRR abs/2308.16022 (2023) - 2022
- [j16]Griffin M. Weber, Chuan Hong, Zongqi Xia, Nicolas Paris, Miguel Pedrera-Jiménez, Ashley C. Pfaff, Emily R. Pfaff, Danielle Pillion, Sara Pizzimenti, Hans-Ulrich Prokosch, Robson A. Prudente, Andrea Prunotto, Víctor Quirós-González, Maryna Raskin, Siegbert Rieg, Gustavo Roig-Domínguez, Pablo Rojo, Paula Rubio-Mayo, Paolo Sacchi, Carlos Sáez, Elisa Salamanca, Malarkodi Jebathilagam Samayamuthu, L. Nelson Sanchez-Pinto, Arnaud Sandrin, Nandhini Santhanam, Janaina C. C. Santos, Fernando J. Sanz Vidorreta, Maria Savino, Jürgen Schüttler, Luigia Scudeller, Neil J. Sebire, Pablo Serrano-Balazote, Patricia Serre, Arnaud Serret-Larmande, Mohsin Shah, Zahra Shakeri Hossein Abad, Domenick Silvio, Piotr Sliz, Jiyeon Son, Charles Sonday, Andrew M. South, Francesca Sperotto, Zachary H. Strasser, Bryce W. Q. Tan, Suzana E. Tanni, Deanne M. Taylor, Ana I. Terriza-Torres, Patric Tippmann, Emma M. S. Toh, Yi-Ju Tseng, Andrew K. Vallejos, Gaël Varoquaux, Margaret E. Vella, Guillaume Verdy, Jill-Jênn Vie, Michele Vitacca, Kavishwar B. Wagholikar, Lemuel R. Waitman, Demian Wassermann, Martin Wolkewitz, Scott Wong, Xin Xiong, Ye Ye, Nadir Yehya, William Yuan, Alberto Zambelli, Harrison G. Zhang, Daniela Zöller, Valentina Zuccaro, Chiara Zucco:
International comparisons of laboratory values from the 4CE collaborative to predict COVID-19 mortality. npj Digit. Medicine 5 (2022) - [c29]Louis Rouillard, Demian Wassermann:
ADAVI: Automatic Dual Amortized Variational Inference Applied To Pyramidal Bayesian Models. ICLR 2022 - [i10]Gaston E. Zanitti, Yamil Soto, Valentin Iovene, Maria Vanina Martinez, Ricardo Oscar Rodríguez, Gerardo I. Simari, Demian Wassermann:
Scalable Query Answering under Uncertainty to Neuroscientific Ontological Knowledge: The NeuroLang Approach. CoRR abs/2202.11333 (2022) - [i9]Louis Rouillard, Thomas Moreau, Demian Wassermann:
PAVI: Plate-Amortized Variational Inference. CoRR abs/2206.05111 (2022) - 2021
- [j15]Ioana Hill, Marco Palombo, Mathieu D. Santin, Francesca Branzoli, Anne-Charlotte Philippe, Demian Wassermann, Marie-Stephane Aigrot, Bruno Stankoff, Anne Baron-Van Evercooren, Mehdi Felfli, Dominique Langui, Hui Zhang, Stéphane Lehéricy, Alexandra Petiet, Daniel C. Alexander, Olga Ciccarelli, Ivana Drobnjak:
Machine learning based white matter models with permeability: An experimental study in cuprizone treated in-vivo mouse model of axonal demyelination. NeuroImage 224: 117425 (2021) - [j14]Patryk Filipiak, Fabien Almairac, Théodore Papadopoulo, Denys Fontaine, Lydiane Mondot, Stéphane Chanalet, Rachid Deriche, Maureen Clerc, Demian Wassermann:
Towards linking diffusion MRI based macro- and microstructure measures with cortico-cortical transmission in brain tumor patients. NeuroImage 226: 117567 (2021) - [c28]Valentin Iovene, Gaston E. Zanitti, Demian Wassermann:
Complex Coordinate-Based Meta-Analysis with Probabilistic Programming. AAAI 2021: 223-231 - [c27]Maëliss Jallais, Pedro L. C. Rodrigues, Alexandre Gramfort, Demian Wassermann:
Cytoarchitecture Measurements in Brain Gray Matter Using Likelihood-Free Inference. IPMI 2021: 191-202 - [i8]Louis Rouillard, Demian Wassermann:
ADAVI: Automatic Dual Amortized Variational Inference Applied To Pyramidal Bayesian Models. CoRR abs/2106.12248 (2021) - [i7]Maëliss Jallais, Pedro Rodrigues, Alexandre Gramfort, Demian Wassermann:
Inverting brain grey matter models with likelihood-free inference: a tool for trustable cytoarchitecture measurements. CoRR abs/2111.08693 (2021) - 2020
- [j13]Kamalaker Dadi, Gaël Varoquaux, Antonia Machlouzarides-Shalit, Krzysztof J. Gorgolewski, Demian Wassermann, Bertrand Thirion, Arthur Mensch:
Fine-grain atlases of functional modes for fMRI analysis. NeuroImage 221: 117126 (2020) - [j12]Chengran Fang, Van-Dang Nguyen, Demian Wassermann, Jing-Rebecca Li:
Diffusion MRI simulation of realistic neurons with SpinDoctor and the Neuron Module. NeuroImage 222: 117198 (2020) - [j11]Gabriel A. Brat, Griffin M. Weber, Nils Gehlenborg, Paul Avillach, Nathan P. Palmer, Luca Chiovato, James J. Cimino, Lemuel R. Waitman, Gilbert S. Omenn, Alberto Malovini, Jason H. Moore, Brett K. Beaulieu-Jones, Valentina Tibollo, Shawn N. Murphy, Sehi L'Yi, Mark S. Keller, Riccardo Bellazzi, David A. Hanauer, Arnaud Serret-Larmande, Alba Gutiérrez-Sacristán, John J. Holmes, Douglas S. Bell, Kenneth D. Mandl, Robert W. Follett, Jeffrey G. Klann, Douglas A. Murad, Luigia Scudeller, Mauro Bucalo, Katie G. Kirchoff, Jean B. Craig, Jihad S. Obeid, Vianney Jouhet, Romain Griffier, Sébastien Cossin, Bertrand Moal, Lav P. Patel, Antonio Bellasi, Hans-Ulrich Prokosch, Detlef Kraska, Piotr Sliz, Amelia L. M. Tan, Kee Yuan Ngiam, Alberto Zambelli, Danielle L. Mowery, Emily Schiver, Batsal Devkota, Robert L. Bradford, Mohamad Daniar, Christel Daniel, Vincent Benoit, Romain Bey, Nicolas Paris, Patricia Serre, Nina Orlova, Julien Dubiel, Martin Hilka, Anne-Sophie Jannot, Stéphane Bréant, Judith Leblanc, Nicolas Griffon, Anita Burgun, Mélodie Bernaux, Arnaud Sandrin, Elisa Salamanca, Sylvie Cormont, Thomas Ganslandt, Tobias Gradinger, Julien Champ, Martin Boeker, Patricia Martel, Loic Esteve, Alexandre Gramfort, Olivier Grisel, Damien Leprovost, Thomas Moreau, Gaël Varoquaux, Jill-Jênn Vie, Demian Wassermann, Arthur Mensch, Charlotte Caucheteux, Christian Haverkamp, Guillaume Lemaitre, Silvano Bosari, Ian D. Krantz, Andrew M. South, Tianxi Cai, Isaac S. Kohane:
International electronic health record-derived COVID-19 clinical course profiles: the 4CE consortium. npj Digit. Medicine 3 (2020) - [c26]Matt Higger, Demian Wassermann, Martha Shenton, Sylvain Bouix:
Agglomerative Region-Based Analysis. ISBI 2020: 1702-1705 - [c25]Alireza Mehrtash, Purang Abolmaesumi, Polina Golland, Tina Kapur, Demian Wassermann, William M. Wells III:
PEP: Parameter Ensembling by Perturbation. NeurIPS 2020 - [i6]Alireza Mehrtash, Purang Abolmaesumi, Polina Golland, Tina Kapur, Demian Wassermann, William M. Wells III:
PEP: Parameter Ensembling by Perturbation. CoRR abs/2010.12721 (2020) - [i5]Valentin Iovene, Gaston E. Zanitti, Demian Wassermann:
Complex Coordinate-Based Meta-Analysis with Probabilistic Programming. CoRR abs/2012.01303 (2020)
2010 – 2019
- 2019
- [b2]Demian Wassermann:
Microstructure, Macrostructure, and Cognition. A walk in Diffusion MRI. Sorbonne University, France, 2019 - [j10]Rutger Henri Jacques Fick, Demian Wassermann, Rachid Deriche:
The Dmipy Toolbox: Diffusion MRI Multi-Compartment Modeling and Microstructure Recovery Made Easy. Frontiers Neuroinformatics 13: 64 (2019) - [c24]Patryk Filipiak, Rutger Fick, Alexandra Petiet, Mathieu D. Santin, Anne-Charlotte Philippe, Stéphane Lehéricy, Rachid Deriche, Demian Wassermann:
Coarse-Grained Spatiotemporal Acquisition Design for Diffusion MRI. ISBI 2019: 155-158 - [i4]Van-Dang Nguyen, Massimiliano Leoni, Tamara Dancheva, Johan Jansson, Johan Hoffman, Demian Wassermann, Jing-Rebecca Li:
Portable simulation framework for diffusion MRI. CoRR abs/1908.01719 (2019) - 2018
- [j9]Rutger Henri Jacques Fick, Alexandra Petiet, Mathieu D. Santin, Anne-Charlotte Philippe, Stéphane Lehéricy, Rachid Deriche, Demian Wassermann:
Non-parametric graphnet-regularized representation of dMRI in space and time. Medical Image Anal. 43: 37-53 (2018) - [j8]Guillermo Gallardo-Diez, William M. Wells III, Rachid Deriche, Demian Wassermann:
Groupwise structural parcellation of the whole cortex: A logistic random effects model based approach. NeuroImage 170: 307-320 (2018) - [j7]Valerie J. Sydnor, Ana María Rivas-Grajales, Amanda E. Lyall, Fan Zhang, Sylvain Bouix, Sarina Karmacharya, Martha Elizabeth Shenton, Carl-Fredrik Westin, Nikos Makris, Demian Wassermann, Lauren J. O'Donnell, Marek Kubicki:
A comparison of three fiber tract delineation methods and their impact on white matter analysis. NeuroImage 178: 318-331 (2018) - [c23]Jérôme Dockès, Demian Wassermann, Russell A. Poldrack, Fabian M. Suchanek, Bertrand Thirion, Gaël Varoquaux:
Text to Brain: Predicting the Spatial Distribution of Neuroimaging Observations from Text Reports. MICCAI (3) 2018: 584-592 - [c22]Guillermo Gallardo, Nathalie T. H. Gayraud, Rachid Deriche, Maureen Clerc, Samuel Deslauriers-Gauthier, Demian Wassermann:
Solving the Cross-Subject Parcel Matching Problem Using Optimal Transport. MICCAI (1) 2018: 836-843 - [i3]Jérôme Dockès, Demian Wassermann, Russell A. Poldrack, Fabian M. Suchanek, Bertrand Thirion, Gaël Varoquaux:
Text to brain: predicting the spatial distribution of neuroimaging observations from text reports. CoRR abs/1806.01139 (2018) - 2017
- [c21]Nahuel Lascano, Guillermo Gallardo-Diez, Rachid Deriche, Dorian Mazauric, Demian Wassermann:
Extracting the Groupwise Core Structural Connectivity Network: Bridging Statistical and Graph-Theoretical Approaches. IPMI 2017: 373-384 - [i2]Nahuel Lascano, Guillermo Gallardo-Diez, Rachid Deriche, Dorian Mazauric, Demian Wassermann:
Extracting the Groupwise Core Structural Connectivity Network: Bridging Statistical and Graph-Theoretical Approaches. CoRR abs/1701.01311 (2017) - [i1]Demian Wassermann, Matthew Toews, Marc Niethammer, William M. Wells III:
Probabilistic Diffeomorphic Registration: Representing Uncertainty. CoRR abs/1701.03266 (2017) - 2016
- [j6]Rutger Henri Jacques Fick, Demian Wassermann, Emmanuel Caruyer, Rachid Deriche:
MAPL: Tissue microstructure estimation using Laplacian-regularized MAP-MRI and its application to HCP data. NeuroImage 134: 365-385 (2016) - [c20]Rutger Henri Jacques Fick, Marco Pizzolato, Demian Wassermann, Mauro Zucchelli, Gloria Menegaz, Rachid Deriche:
A sensitivity analysis of q-space indices with respect to changes in axonal diameter, dispersion and tissue composition. ISBI 2016: 1241-1244 - [c19]Demian Wassermann, Dorian Mazauric, Guillermo Gallardo-Diez, Rachid Deriche:
Extracting the Core Structural Connectivity Network: Guaranteeing Network Connectedness Through a Graph-Theoretical Approach. MICCAI (1) 2016: 89-96 - 2015
- [j5]Eleftherios Garyfallidis, Omar Ocegueda, Demian Wassermann, Maxime Descoteaux:
Robust and efficient linear registration of white-matter fascicles in the space of streamlines. NeuroImage 117: 124-140 (2015) - [c18]Rutger Fick, Demian Wassermann, Marco Pizzolato, Rachid Deriche:
A Unifying Framework for Spatial and Temporal Diffusion in Diffusion MRI. IPMI 2015: 167-178 - [c17]Gabriel Girard, Rutger Fick, Maxime Descoteaux, Rachid Deriche, Demian Wassermann:
AxTract: Microstructure-Driven Tractography Based on the Ensemble Average Propagator. IPMI 2015: 675-686 - [c16]Rutger Henri Jacques Fick, Demian Wassermann, Gonzalo R. Sanguinetti, Rachid Deriche:
Laplacian-regularized MAP-MRI: Improving axonal caliber estimation. ISBI 2015: 1184-1187 - [c15]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 (1) 2015: 109-116 - 2014
- [c14]Demian Wassermann, James C. Ross, George R. Washko, William M. Wells III, Raúl San José Estépar:
Deformable Registration of Feature-Endowed Point Sets Based on Tensor Fields. CVPR 2014: 2729-2735 - [c13]James C. Ross, Alejandro A. Díaz, Yuka Okajima, Demian Wassermann, George R. Washko, Jennifer G. Dy, Raúl San José Estépar:
Airway labeling using a Hidden Markov Tree Model. ISBI 2014: 554-558 - [c12]Demian Wassermann, Matthew Toews, Marc Niethammer, William M. Wells III:
Probabilistic Diffeomorphic Registration: Representing Uncertainty. WBIR 2014: 72-82 - 2013
- [c11]Birkan Tunç, Alex R. Smith, Demian Wassermann, Xavier Pennec, William M. Wells III, Ragini Verma, Kilian M. Pohl:
Multinomial Probabilistic Fiber Representation for Connectivity Driven Clustering. IPMI 2013: 730-741 - [c10]Demian Wassermann, James C. Ross, George R. Washko, Carl-Fredrik Westin, Raúl San José Estépar:
Diffeomorphic point set registration using non-stationary mixture models. ISBI 2013: 1042-1045 - [c9]Demian Wassermann, Nikos Makris, Yogesh Rathi, Martha Elizabeth Shenton, Ron Kikinis, Marek Kubicki, Carl-Fredrik Westin:
On Describing Human White Matter Anatomy: The White Matter Query Language. MICCAI (1) 2013: 647-654 - 2011
- [c8]Demian Wassermann, Yogesh Rathi, Sylvain Bouix, Marek Kubicki, Ron Kikinis, Martha Elizabeth Shenton, Carl-Fredrik Westin:
White Matter Bundle Registration and Population Analysis Based on Gaussian Processes. IPMI 2011: 320-332 - [c7]Aurobrata Ghosh, Demian Wassermann, Rachid Deriche:
A Polynomial Approach for Maxima Extraction and Its Application to Tractography in HARDI. IPMI 2011: 723-734 - [c6]Daniel Forsberg, Yogesh Rathi, Sylvain Bouix, Demian Wassermann, Hans Knutsson, Carl-Fredrik Westin:
Improving Registration Using Multi-channel Diffeomorphic Demons Combined with Certainty Maps. MBIA 2011: 19-26 - 2010
- [b1]Demian Wassermann:
Automated In Vivo Dissection of White Matter Structures from Diffusion Magnetic Resonance Imaging. (Dissection Automatique In Vivo des Structures de la Matière Blanche à partir de l'imagerie par Résonance Magnétique de Diffusion). University of Nice Sophia Antipolis, France, 2010 - [j4]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. NeuroImage 51(1): 228-241 (2010) - [c5]Demian Wassermann, Efstathios Kanterakis, Ruben C. Gur, Rachid Deriche, Ragini Verma:
Diffusion-Based Population Statistics Using Tract Probability Maps. MICCAI (1) 2010: 631-639
2000 – 2009
- 2009
- [j3]Christophe Lenglet, Jennifer S. W. Campbell, Maxime Descoteaux, Gloria Haro, Peter Savadjiev, Demian Wassermann, Alfred Anwander, Rachid Deriche, G. Bruce Pike, Guillermo Sapiro, Kaleem Siddiqi, Paul M. Thompson:
Mathematical methods for diffusion MRI processing. NeuroImage 45(1): S111-S122 (2009) - [c4]Demian Wassermann, Luke Bloy, Ragini Verma, Rachid Deriche:
Bayesian Framework for White Matter Fiber Similarity Measure. ISBI 2009: 815-818 - 2008
- [j2]Demian Wassermann, Maxime Descoteaux, Rachid Deriche:
Diffusion Maps Clustering for Magnetic Resonance Q-Ball Imaging Segmentation. Int. J. Biomed. Imaging 2008: 526906:1-526906:12 (2008) - 2007
- [c3]Demian Wassermann, Maxime Descoteaux, Rachid Deriche:
Diffusion Maps Segmentation of Magnetic Resonance Q-Ball Imaging. ICCV 2007: 1-8 - 2005
- [c2]Demian Wassermann, Marta Mejail:
Development and Validation of an Algorithm for Cardiomyocyte Beating Frequency Determination. CIARP 2005: 420-430 - 2004
- [c1]Demian Wassermann, Marta Mejail, Juliana Gambini, María E. Buemi:
Segmentation with Active Contours: A Comparative Study of B-Spline and Level Set Techniques. SIBGRAPI 2004: 98-105 - 2001
- [j1]Gabriel A. Wainer, Sergio Daicz, Luis F. De Simoni, Demian Wassermann:
Using the Alfa-1 simulated processor for educational purposes. ACM J. Educ. Resour. Comput. 1(4): 111-151 (2001)
Coauthor Index
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last updated on 2023-09-10 00:33 CEST by the dblp team
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