Demian Wassermann

According to our database, Demian Wassermann authored at least 54 papers between 2001 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

A simulation-driven supervised learning framework to estimate brain microstructure using diffusion MRI.

Chengran Fang, Zheyi Yang, Demian Wassermann, Jing-Rebecca Li

Medical Image Anal., December, 2023

Scalable Query Answering Under Uncertainty to Neuroscientific Ontological Knowledge: The NeuroLang Approach.

Gaston E. Zanitti, Yamil Soto, Valentin Iovene, Maria Vanina Martinez, Ricardo Oscar Rodríguez, Gerardo I. Simari, Demian Wassermann

Neuroinformatics, April, 2023

Fourier Representation of the Diffusion MRI Signal Using Layer Potentials.

Chengran Fang, Demian Wassermann, Jing-Rebecca Li

SIAM J. Appl. Math., February, 2023

PAVI: Plate-Amortized Variational Inference.

Louis Rouillard, Alexandre Le Bris, Thomas Moreau, Demian Wassermann

CoRR, 2023

2022

International comparisons of laboratory values from the 4CE collaborative to predict COVID-19 mortality.

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

npj Digit. Medicine, 2022

PAVI: Plate-Amortized Variational Inference.

Louis Rouillard, Thomas Moreau, Demian Wassermann

CoRR, 2022

ADAVI: Automatic Dual Amortized Variational Inference Applied To Pyramidal Bayesian Models.

Louis Rouillard, Demian Wassermann

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Machine learning based white matter models with permeability: An experimental study in cuprizone treated in-vivo mouse model of axonal demyelination.

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

NeuroImage, 2021

Towards linking diffusion MRI based macro- and microstructure measures with cortico-cortical transmission in brain tumor patients.

Patryk Filipiak, Fabien Almairac, Théodore Papadopoulo, Denys Fontaine, Lydiane Mondot, Stéphane Chanalet, Rachid Deriche, Maureen Clerc, Demian Wassermann

NeuroImage, 2021

Inverting brain grey matter models with likelihood-free inference: a tool for trustable cytoarchitecture measurements.

Maëliss Jallais, Pedro Rodrigues, Alexandre Gramfort, Demian Wassermann

CoRR, 2021

Cytoarchitecture Measurements in Brain Gray Matter Using Likelihood-Free Inference.

Maëliss Jallais, Pedro L. C. Rodrigues, Alexandre Gramfort, Demian Wassermann

Proceedings of the Information Processing in Medical Imaging, 2021

Complex Coordinate-Based Meta-Analysis with Probabilistic Programming.

Valentin Iovene, Gaston E. Zanitti, Demian Wassermann

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

International electronic health record-derived COVID-19 clinical course profiles: the 4CE consortium.

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 Schriver, 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

npj Digit. Medicine, 2020

Diffusion MRI simulation of realistic neurons with SpinDoctor and the Neuron Module.

Chengran Fang, Van-Dang Nguyen, Demian Wassermann, Jing-Rebecca Li

NeuroImage, 2020

Fine-grain atlases of functional modes for fMRI analysis.

Kamalaker Dadi, Gaël Varoquaux, Antonia Machlouzarides-Shalit, Krzysztof J. Gorgolewski, Demian Wassermann, Bertrand Thirion, Arthur Mensch

NeuroImage, 2020

PEP: Parameter Ensembling by Perturbation.

Alireza Mehrtash, Purang Abolmaesumi, Polina Golland, Tina Kapur, Demian Wassermann, William M. Wells III

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Agglomerative Region-Based Analysis.

Matt Higger, Demian Wassermann, Martha Shenton, Sylvain Bouix

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2019

The Dmipy Toolbox: Diffusion MRI Multi-Compartment Modeling and Microstructure Recovery Made Easy.

Rutger Henri Jacques Fick, Demian Wassermann, Rachid Deriche

Frontiers Neuroinformatics, 2019

Portable simulation framework for diffusion MRI.

Van-Dang Nguyen, Massimiliano Leoni, Tamara Dancheva, Johan Jansson, Johan Hoffman, Demian Wassermann, Jing-Rebecca Li

CoRR, 2019

Coarse-Grained Spatiotemporal Acquisition Design for Diffusion MRI.

Patryk Filipiak, Rutger Fick, Alexandra Petiet, Mathieu D. Santin, Anne-Charlotte Philippe, Stéphane Lehéricy, Rachid Deriche, Demian Wassermann

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Microstructure, Macrostructure, and Cognition. A walk in Diffusion MRI.

Demian Wassermann

, 2019

2018

A comparison of three fiber tract delineation methods and their impact on white matter analysis.

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

NeuroImage, 2018

Groupwise structural parcellation of the whole cortex: A logistic random effects model based approach.

Guillermo Gallardo-Diez, William M. Wells III, Rachid Deriche, Demian Wassermann

NeuroImage, 2018

Non-parametric graphnet-regularized representation of dMRI in space and time.

Rutger Henri Jacques Fick, Alexandra Petiet, Mathieu D. Santin, Anne-Charlotte Philippe, Stéphane Lehéricy, Rachid Deriche, Demian Wassermann

Medical Image Anal., 2018

Solving the Cross-Subject Parcel Matching Problem Using Optimal Transport.

Guillermo Gallardo, Nathalie T. H. Gayraud, Rachid Deriche, Maureen Clerc, Samuel Deslauriers-Gauthier, Demian Wassermann

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Text to Brain: Predicting the Spatial Distribution of Neuroimaging Observations from Text Reports.

Jérôme Dockès, Demian Wassermann, Russell A. Poldrack, Fabian M. Suchanek, Bertrand Thirion, Gaël Varoquaux

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

2017

Extracting the Groupwise Core Structural Connectivity Network: Bridging Statistical and Graph-Theoretical Approaches.

Nahuel Lascano, Guillermo Gallardo-Diez, Rachid Deriche, Dorian Mazauric, Demian Wassermann

Proceedings of the Information Processing in Medical Imaging, 2017

2016

MAPL: Tissue microstructure estimation using Laplacian-regularized MAP-MRI and its application to HCP data.

Rutger Henri Jacques Fick, Demian Wassermann, Emmanuel Caruyer, Rachid Deriche

NeuroImage, 2016

Extracting the Core Structural Connectivity Network: Guaranteeing Network Connectedness Through a Graph-Theoretical Approach.

Demian Wassermann, Dorian Mazauric, Guillermo Gallardo-Diez, Rachid Deriche

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

A sensitivity analysis of q-space indices with respect to changes in axonal diameter, dispersion and tissue composition.

Rutger Henri Jacques Fick, Marco Pizzolato, Demian Wassermann, Mauro Zucchelli, Gloria Menegaz, Rachid Deriche

Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

2015

Robust and efficient linear registration of white-matter fascicles in the space of streamlines.

Eleftherios Garyfallidis, Omar Ocegueda, Demian Wassermann, Maxime Descoteaux

NeuroImage, 2015

Exploiting the Phase in Diffusion MRI for Microstructure Recovery: Towards Axonal Tortuosity via Asymmetric Diffusion Processes.

Marco Pizzolato, Demian Wassermann, Timothé Boutelier, Rachid Deriche

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015

Laplacian-regularized MAP-MRI: Improving axonal caliber estimation.

Rutger Henri Jacques Fick, Demian Wassermann, Gonzalo R. Sanguinetti, Rachid Deriche

Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

AxTract: Microstructure-Driven Tractography Based on the Ensemble Average Propagator.

Gabriel Girard, Rutger Fick, Maxime Descoteaux, Rachid Deriche, Demian Wassermann

Proceedings of the Information Processing in Medical Imaging, 2015

A Unifying Framework for Spatial and Temporal Diffusion in Diffusion MRI.

Rutger Fick, Demian Wassermann, Marco Pizzolato, Rachid Deriche

Proceedings of the Information Processing in Medical Imaging, 2015

2014

Probabilistic Diffeomorphic Registration: Representing Uncertainty.

Demian Wassermann, Matthew Toews, Marc Niethammer, William M. Wells III

Proceedings of the Biomedical Image Registration - 6th International Workshop, 2014

Airway labeling using a Hidden Markov Tree Model.

James C. Ross, Alejandro A. Díaz, Yuka Okajima, Demian Wassermann, George R. Washko, Jennifer G. Dy, Raúl San José Estépar

Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

Deformable Registration of Feature-Endowed Point Sets Based on Tensor Fields.

Demian Wassermann, James C. Ross, George R. Washko, William M. Wells III, Raúl San José Estépar

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013

On Describing Human White Matter Anatomy: The White Matter Query Language.

Demian Wassermann, Nikos Makris, Yogesh Rathi, Martha Elizabeth Shenton, Ron Kikinis, Marek Kubicki, Carl-Fredrik Westin

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

Diffeomorphic point set registration using non-stationary mixture models.

Demian Wassermann, James C. Ross, George R. Washko, Carl-Fredrik Westin, Raúl San José Estépar

Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

Multinomial Probabilistic Fiber Representation for Connectivity Driven Clustering.

Birkan Tunç, Alex R. Smith, Demian Wassermann, Xavier Pennec, William M. Wells III, Ragini Verma, Kilian M. Pohl

Proceedings of the Information Processing in Medical Imaging, 2013

2011

Improving Registration Using Multi-channel Diffeomorphic Demons Combined with Certainty Maps.

Daniel Forsberg, Yogesh Rathi, Sylvain Bouix, Demian Wassermann, Hans Knutsson, Carl-Fredrik Westin

Proceedings of the Multimodal Brain Image Analysis, First International Workshop, 2011

White Matter Bundle Registration and Population Analysis Based on Gaussian Processes.

Demian Wassermann, Yogesh Rathi, Sylvain Bouix, Marek Kubicki, Ron Kikinis, Martha Elizabeth Shenton, Carl-Fredrik Westin

Proceedings of the Information Processing in Medical Imaging, 2011

A Polynomial Approach for Maxima Extraction and Its Application to Tractography in HARDI.

Aurobrata Ghosh, Demian Wassermann, Rachid Deriche

Proceedings of the Information Processing in Medical Imaging, 2011

2010

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).

Demian Wassermann

PhD thesis, 2010

Unsupervised white matter fiber clustering and tract probability map generation: Applications of a Gaussian process framework for white matter fibers.

Demian Wassermann, Luke Bloy, Efstathios Kanterakis, Ragini Verma, Rachid Deriche

NeuroImage, 2010

Diffusion-Based Population Statistics Using Tract Probability Maps.

Demian Wassermann, Efstathios Kanterakis, Ruben C. Gur, Rachid Deriche, Ragini Verma

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010

2009

Mathematical methods for diffusion MRI processing.

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

NeuroImage, 2009

Bayesian Framework for White Matter Fiber Similarity Measure.

Demian Wassermann, Luke Bloy, Ragini Verma, Rachid Deriche

Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009

2008

Diffusion Maps Clustering for Magnetic Resonance Q-Ball Imaging Segmentation.

Demian Wassermann, Maxime Descoteaux, Rachid Deriche

Int. J. Biomed. Imaging, 2008

2007

Diffusion Maps Segmentation of Magnetic Resonance Q-Ball Imaging.

Demian Wassermann, Maxime Descoteaux, Rachid Deriche

Proceedings of the IEEE 11th International Conference on Computer Vision, 2007

2005

Development and Validation of an Algorithm for Cardiomyocyte Beating Frequency Determination.

Demian Wassermann, Marta Mejail

Proceedings of the Progress in Pattern Recognition, 2005

2004

Segmentation with Active Contours: A Comparative Study of B-Spline and Level Set Techniques.

Demian Wassermann, Marta Mejail, Juliana Gambini, María E. Buemi

Proceedings of the XVII Brazilian Symposium on Computer Graphics and Image Processing, 2004

2001

Using the Alfa-1 simulated processor for educational purposes.

Gabriel A. Wainer, Sergio Daicz, Luis F. De Simoni, Demian Wassermann

ACM J. Educ. Resour. Comput., 2001