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Demian Wassermann
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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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