Demian Wassermann

67 papers A* 5C 1Journal 33Unranked 25

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	The Brain Resection Multimodal Image Registration (ReMIND2Reg) 2025 Challenge. CoRR Reuben Dorent, Laura Rigolo, Colin Galvin, Junyu Chen, Mattias P. Heinrich, Aaron Carass, Olivier Colliot, Demian Wassermann, Alexandra J. Golby, Tina Kapur, William M. Wells III
2024	—	`conf`	Deep Multivariate Autoencoder for Capturing Complexity in Brain Structure and Behaviour Relationships. CDMRI@MICCAI Gabriela Gómez Jiménez, Demian Wassermann
2024	—	`conf`	NeuroConText: Contrastive Text-to-Brain Mapping for Neuroscientific Literature. MICCAI (3) Raphaël Meudec, Fateme Ghayem, Jérôme Dockès, Demian Wassermann, Bertrand Thirion
2024	J	`jnl`	Robust and highly scalable estimation of directional couplings from time-shifted signals. CoRR Luca Ambrogioni, Louis Rouillard, Demian Wassermann
2023	J	`jnl`	A simulation-driven supervised learning framework to estimate brain microstructure using diffusion MRI. Medical Image Anal. Chengran Fang, Zheyi Yang, Demian Wassermann, Jing-Rebecca Li
2023	J	`jnl`	Fourier Representation of the Diffusion MRI Signal Using Layer Potentials. SIAM J. Appl. Math. Chengran Fang, Demian Wassermann, Jing-Rebecca Li
2023	—	`ed.`	Information Processing in Medical Imaging - 28th International Conference, IPMI 2023, San Carlos de Bariloche, Argentina, June 18-23, 2023, Proceedings IPMI Alejandro F. Frangi, Marleen de Bruijne, Demian Wassermann, Nassir Navab
2023	J	`jnl`	PAVI: Plate-Amortized Variational Inference. CoRR Louis Rouillard, Alexandre Le Bris, Thomas Moreau, Demian Wassermann
2023	J	`jnl`	PAVI: Plate-Amortized Variational Inference. Trans. Mach. Learn. Res. Louis Rouillard, Alexandre Le Bris, Thomas Moreau, Demian Wassermann
2023	J	`jnl`	Scalable Query Answering Under Uncertainty to Neuroscientific Ontological Knowledge: The NeuroLang Approach. Neuroinformatics Gaston E. Zanitti, Yamil Soto, Valentin Iovene, Maria Vanina Martinez, Ricardo Oscar Rodríguez, Gerardo I. Simari, Demian Wassermann
2022	A*	`conf`	ADAVI: Automatic Dual Amortized Variational Inference Applied To Pyramidal Bayesian Models. ICLR Louis Rouillard, Demian Wassermann
2022	J	`jnl`	International comparisons of laboratory values from the 4CE collaborative to predict COVID-19 mortality. npj Digit. Medicine 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
2022	J	`jnl`	PAVI: Plate-Amortized Variational Inference. CoRR Louis Rouillard, Thomas Moreau, Demian Wassermann
2022	J	`jnl`	Scalable Query Answering under Uncertainty to Neuroscientific Ontological Knowledge: The NeuroLang Approach. CoRR Gaston E. Zanitti, Yamil Soto, Valentin Iovene, Maria Vanina Martinez, Ricardo Oscar Rodríguez, Gerardo I. Simari, Demian Wassermann
2021	J	`jnl`	ADAVI: Automatic Dual Amortized Variational Inference Applied To Pyramidal Bayesian Models. CoRR Louis Rouillard, Demian Wassermann
2021	A*	`conf`	Complex Coordinate-Based Meta-Analysis with Probabilistic Programming. AAAI Valentin Iovene, Gaston E. Zanitti, Demian Wassermann
2021	—	`conf`	Cytoarchitecture Measurements in Brain Gray Matter Using Likelihood-Free Inference. IPMI Maëliss Jallais, Pedro L. C. Rodrigues, Alexandre Gramfort, Demian Wassermann
2021	J	`jnl`	Inverting brain grey matter models with likelihood-free inference: a tool for trustable cytoarchitecture measurements. CoRR Maëliss Jallais, Pedro Rodrigues, Alexandre Gramfort, Demian Wassermann
2021	J	`jnl`	Machine learning based white matter models with permeability: An experimental study in cuprizone treated in-vivo mouse model of axonal demyelination. NeuroImage 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
2021	J	`jnl`	Towards linking diffusion MRI based macro- and microstructure measures with cortico-cortical transmission in brain tumor patients. NeuroImage Patryk Filipiak, Fabien Almairac, Théodore Papadopoulo, Denys Fontaine, Lydiane Mondot, Stéphane Chanalet, Rachid Deriche, Maureen Clerc, Demian Wassermann
2020	—	`conf`	Agglomerative Region-Based Analysis. ISBI Matt Higger, Demian Wassermann, Martha Shenton, Sylvain Bouix
2020	J	`jnl`	Complex Coordinate-Based Meta-Analysis with Probabilistic Programming. CoRR Valentin Iovene, Gaston E. Zanitti, Demian Wassermann
2020	J	`jnl`	Diffusion MRI simulation of realistic neurons with SpinDoctor and the Neuron Module. NeuroImage Chengran Fang, Van-Dang Nguyen, Demian Wassermann, Jing-Rebecca Li
2020	J	`jnl`	Fine-grain atlases of functional modes for fMRI analysis. NeuroImage Kamalaker Dadi, Gaël Varoquaux, Antonia Machlouzarides-Shalit, Krzysztof J. Gorgolewski, Demian Wassermann, Bertrand Thirion, Arthur Mensch
2020	J	`jnl`	International electronic health record-derived COVID-19 clinical course profiles: the 4CE consortium. npj Digit. Medicine 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 Estève, 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
2020	A*	`conf`	PEP: Parameter Ensembling by Perturbation. NeurIPS Alireza Mehrtash, Purang Abolmaesumi, Polina Golland, Tina Kapur, Demian Wassermann, William M. Wells III
2020	J	`jnl`	PEP: Parameter Ensembling by Perturbation. CoRR Alireza Mehrtash, Purang Abolmaesumi, Polina Golland, Tina Kapur, Demian Wassermann, William M. Wells III
2019	—	`conf`	Coarse-Grained Spatiotemporal Acquisition Design for Diffusion MRI. ISBI Patryk Filipiak, Rutger Fick, Alexandra Petiet, Mathieu D. Santin, Anne-Charlotte Philippe, Stéphane Lehéricy, Rachid Deriche, Demian Wassermann
2019	—	`book`	Microstructure, Macrostructure, and Cognition. A walk in Diffusion MRI. Demian Wassermann
2019	J	`jnl`	Portable simulation framework for diffusion MRI. CoRR Van-Dang Nguyen, Massimiliano Leoni, Tamara Dancheva, Johan Jansson, Johan Hoffman, Demian Wassermann, Jing-Rebecca Li
2019	J	`jnl`	The Dmipy Toolbox: Diffusion MRI Multi-Compartment Modeling and Microstructure Recovery Made Easy. Frontiers Neuroinformatics Rutger Henri Jacques Fick, Demian Wassermann, Rachid Deriche
2018	J	`jnl`	A comparison of three fiber tract delineation methods and their impact on white matter analysis. NeuroImage 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
2018	J	`jnl`	Groupwise structural parcellation of the whole cortex: A logistic random effects model based approach. NeuroImage Guillermo Gallardo-Diez, William M. Wells III, Rachid Deriche, Demian Wassermann
2018	J	`jnl`	Non-parametric graphnet-regularized representation of dMRI in space and time. Medical Image Anal. Rutger Henri Jacques Fick, Alexandra Petiet, Mathieu D. Santin, Anne-Charlotte Philippe, Stéphane Lehéricy, Rachid Deriche, Demian Wassermann
2018	—	`conf`	Solving the Cross-Subject Parcel Matching Problem Using Optimal Transport. MICCAI (1) Guillermo Gallardo, Nathalie T. H. Gayraud, Rachid Deriche, Maureen Clerc, Samuel Deslauriers-Gauthier, Demian Wassermann
2018	—	`conf`	Text to Brain: Predicting the Spatial Distribution of Neuroimaging Observations from Text Reports. MICCAI (3) Jérôme Dockès, Demian Wassermann, Russell A. Poldrack, Fabian M. Suchanek, Bertrand Thirion, Gaël Varoquaux
2018	J	`jnl`	Text to brain: predicting the spatial distribution of neuroimaging observations from text reports. CoRR Jérôme Dockès, Demian Wassermann, Russell A. Poldrack, Fabian M. Suchanek, Bertrand Thirion, Gaël Varoquaux
2017	—	`conf`	Extracting the Groupwise Core Structural Connectivity Network: Bridging Statistical and Graph-Theoretical Approaches. IPMI Nahuel Lascano, Guillermo Gallardo-Diez, Rachid Deriche, Dorian Mazauric, Demian Wassermann
2017	J	`jnl`	Extracting the Groupwise Core Structural Connectivity Network: Bridging Statistical and Graph-Theoretical Approaches. CoRR Nahuel Lascano, Guillermo Gallardo-Diez, Rachid Deriche, Dorian Mazauric, Demian Wassermann
2017	J	`jnl`	Probabilistic Diffeomorphic Registration: Representing Uncertainty. CoRR Demian Wassermann, Matthew Toews, Marc Niethammer, William M. Wells III
2016	—	`conf`	A sensitivity analysis of q-space indices with respect to changes in axonal diameter, dispersion and tissue composition. ISBI Rutger Henri Jacques Fick, Marco Pizzolato, Demian Wassermann, Mauro Zucchelli, Gloria Menegaz, Rachid Deriche
2016	—	`conf`	Extracting the Core Structural Connectivity Network: Guaranteeing Network Connectedness Through a Graph-Theoretical Approach. MICCAI (1) Demian Wassermann, Dorian Mazauric, Guillermo Gallardo-Diez, Rachid Deriche
2016	J	`jnl`	MAPL: Tissue microstructure estimation using Laplacian-regularized MAP-MRI and its application to HCP data. NeuroImage Rutger Henri Jacques Fick, Demian Wassermann, Emmanuel Caruyer, Rachid Deriche
2015	—	`conf`	A Unifying Framework for Spatial and Temporal Diffusion in Diffusion MRI. IPMI Rutger Fick, Demian Wassermann, Marco Pizzolato, Rachid Deriche
2015	—	`conf`	AxTract: Microstructure-Driven Tractography Based on the Ensemble Average Propagator. IPMI Gabriel Girard, Rutger Fick, Maxime Descoteaux, Rachid Deriche, Demian Wassermann
2015	—	`conf`	Exploiting the Phase in Diffusion MRI for Microstructure Recovery: Towards Axonal Tortuosity via Asymmetric Diffusion Processes. MICCAI (1) Marco Pizzolato, Demian Wassermann, Timothé Boutelier, Rachid Deriche
2015	—	`conf`	Laplacian-regularized MAP-MRI: Improving axonal caliber estimation. ISBI Rutger Henri Jacques Fick, Demian Wassermann, Gonzalo R. Sanguinetti, Rachid Deriche
2015	J	`jnl`	Robust and efficient linear registration of white-matter fascicles in the space of streamlines. NeuroImage Eleftherios Garyfallidis, Omar Ocegueda, Demian Wassermann, Maxime Descoteaux
2014	—	`conf`	Airway labeling using a Hidden Markov Tree Model. ISBI James C. Ross, Alejandro A. Díaz, Yuka Okajima, Demian Wassermann, George R. Washko, Jennifer G. Dy, Raúl San José Estépar
2014	A*	`conf`	Deformable Registration of Feature-Endowed Point Sets Based on Tensor Fields. CVPR Demian Wassermann, James C. Ross, George R. Washko, William M. Wells III, Raúl San José Estépar
2014	—	`conf`	Probabilistic Diffeomorphic Registration: Representing Uncertainty. WBIR Demian Wassermann, Matthew Toews, Marc Niethammer, William M. Wells III
2013	—	`conf`	Diffeomorphic point set registration using non-stationary mixture models. ISBI Demian Wassermann, James C. Ross, George R. Washko, Carl-Fredrik Westin, Raúl San José Estépar
2013	—	`conf`	Multinomial Probabilistic Fiber Representation for Connectivity Driven Clustering. IPMI Birkan Tunç, Alex R. Smith, Demian Wassermann, Xavier Pennec, William M. Wells III, Ragini Verma, Kilian M. Pohl
2013	—	`conf`	On Describing Human White Matter Anatomy: The White Matter Query Language. MICCAI (1) Demian Wassermann, Nikos Makris, Yogesh Rathi, Martha Elizabeth Shenton, Ron Kikinis, Marek Kubicki, Carl-Fredrik Westin
2011	—	`conf`	A Polynomial Approach for Maxima Extraction and Its Application to Tractography in HARDI. IPMI Aurobrata Ghosh, Demian Wassermann, Rachid Deriche
2011	—	`conf`	Improving Registration Using Multi-channel Diffeomorphic Demons Combined with Certainty Maps. MBIA Daniel Forsberg, Yogesh Rathi, Sylvain Bouix, Demian Wassermann, Hans Knutsson, Carl-Fredrik Westin
2011	—	`conf`	White Matter Bundle Registration and Population Analysis Based on Gaussian Processes. IPMI Demian Wassermann, Yogesh Rathi, Sylvain Bouix, Marek Kubicki, Ron Kikinis, Martha Elizabeth Shenton, Carl-Fredrik Westin
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
2010	—	`conf`	Diffusion-Based Population Statistics Using Tract Probability Maps. MICCAI (1) Demian Wassermann, Efstathios Kanterakis, Ruben C. Gur, Rachid Deriche, Ragini Verma
2010	J	`jnl`	Unsupervised white matter fiber clustering and tract probability map generation: Applications of a Gaussian process framework for white matter fibers. NeuroImage Demian Wassermann, Luke Bloy, Efstathios Kanterakis, Ragini Verma, Rachid Deriche
2009	—	`conf`	Bayesian Framework for White Matter Fiber Similarity Measure. ISBI Demian Wassermann, Luke Bloy, Ragini Verma, Rachid Deriche
2009	J	`jnl`	Mathematical methods for diffusion MRI processing. NeuroImage 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
2008	J	`jnl`	Diffusion Maps Clustering for Magnetic Resonance Q-Ball Imaging Segmentation. Int. J. Biomed. Imaging Demian Wassermann, Maxime Descoteaux, Rachid Deriche
2007	A*	`conf`	Diffusion Maps Segmentation of Magnetic Resonance Q-Ball Imaging. ICCV Demian Wassermann, Maxime Descoteaux, Rachid Deriche
2005	C	`conf`	Development and Validation of an Algorithm for Cardiomyocyte Beating Frequency Determination. CIARP Demian Wassermann, Marta Mejail
2004	—	`conf`	Segmentation with Active Contours: A Comparative Study of B-Spline and Level Set Techniques. SIBGRAPI Demian Wassermann, Marta Mejail, Juliana Gambini, María E. Buemi
2001	J	`jnl`	Using the Alfa-1 simulated processor for educational purposes. ACM J. Educ. Resour. Comput. Gabriel A. Wainer, Sergio Daicz, Luis F. De Simoni, Demian Wassermann