Eric Westman

According to our database, Eric Westman authored at least 26 papers between 2011 and 2024.

Collaborative distances:

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

2024

Constructing personalized characterizations of structural brain aberrations in patients with dementia using explainable artificial intelligence.

Esten H. Leonardsen, Karin Persson, Edvard Grødem, Nicola Dinsdale, Till Schellhorn, James M. Roe, Dídac Vidal-Piñeiro, Øystein Sørensen, Tobias Kaufmann, Eric Westman, Andre F. Marquand, Geir Selbæk, Ole A. Andreassen, Thomas Wolfers, Lars T. Westlye, Yunpeng Wang

npj Digit. Medicine, 2024

Frontoparietal atrophy trajectories in cognitively unimpaired elderly individuals using longitudinal Bayesian clustering.

Giulia Lorenzon, Konstantinos Poulakis, Rosaleena Mohanty, Miia Kivipelto, Maria Eriksdotter, Daniel Ferreira, Eric Westman

Comput. Biol. Medicine, 2024

2023

Clustering and disease subtyping in Neuroscience, toward better methodological adaptations.

Konstantinos Poulakis, Eric Westman

Frontiers Comput. Neurosci., September, 2023

2022

Generative Aging of Brain Images with Diffeomorphic Registration.

Jingru Fu, Antonios Tzortzakakis, José Barroso, Eric Westman, Daniel Ferreira, Rodrigo Moreno

CoRR, 2022

A study on 3D classical versus GAN-based augmentation for MRI brain image to predict the diagnosis of dementia with Lewy bodies and Alzheimer's disease in a European multi-center study.

Petter Minne, Alvaro Fernandez-Quilez, Dag Aarsland, Daniel Ferreira, Eric Westman, Afina W. Lemstra, Mara Ten Kate, Alessandro Padovani, Irene Rektorova, Laura Bonanni, Flavio Nobili, Milica G. Kramberger, John-Paul Taylor, Jakub Hort, Jón Snædal, Frédéric Blanc, Angelo Antonini, Ketil Oppedal

Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, 2022

2021

Deep learning from MRI-derived labels enables automatic brain tissue classification on human brain CT.

Meera Srikrishna, Joana B. Pereira, Rolf A. Heckemann, Giovanni Volpe, Danielle van Westen, Anna Zettergren, Silke Kern, Lars-Olof Wahlund, Eric Westman, Ingmar Skoog, Michael Schöll

NeuroImage, 2021

Comparison of Two-Dimensional- and Three-Dimensional-Based U-Net Architectures for Brain Tissue Classification in One-Dimensional Brain CT.

Meera Srikrishna, Rolf A. Heckemann, Joana B. Pereira, Giovanni Volpe, Anna Zettergren, Silke Kern, Eric Westman, Ingmar Skoog, Michael Schöll

Frontiers Comput. Neurosci., 2021

Inter-Cohort Validation of SuStaIn Model for Alzheimer's Disease.

Damiano Archetti, Alexandra L. Young, Neil P. Oxtoby, Daniel Ferreira, Gustav Mårtensson, Eric Westman, Daniel C. Alexander, Giovanni B. Frisoni, Alberto Redolfi

Frontiers Big Data, 2021

2020

Morphological changes in secondary, but not primary, sensory cortex in individuals with life-long olfactory sensory deprivation.

Moa G. Peter, Gustav Mårtensson, Elbrich M. Postma, Love Engström Nordin, Eric Westman, Sanne Boesveldt, Johan N. Lundström

NeuroImage, 2020

Cholinergic white matter pathways make a stronger contribution to attention and memory in normal aging than cerebrovascular health and nucleus basalis of Meynert.

Milan Nemy, Nira Cedres, Michel J. Grothe, J.-Sebastian Muehlboeck, Olof Lindberg, Zuzana Nedelska, Olga Stepánková, Lenka Vyslouzilova, Maria Eriksdotter, José Barroso, Stefan Teipel, Eric Westman, Daniel Ferreira

NeuroImage, 2020

The reliability of a deep learning model in clinical out-of-distribution MRI data: A multicohort study.

Gustav Mårtensson, Daniel Ferreira, Tobias Granberg, Lena Cavallin, Ketil Oppedal, Alessandro Padovani, Irena Rektorová, Laura Bonanni, Matteo Pardini, Milica G. Kramberger, John-Paul Taylor, Jakub Hort, Jón Snædal, Jaime Kulisevsky, Frédéric Blanc, Angelo Antonini, Patrizia Mecocci, Bruno Vellas, Eric Westman

Medical Image Anal., 2020

A Theory of Fermat Paths for 3D Imaging Sonar Reconstruction.

Eric Westman, Ioannis Gkioulekas, Michael Kaess

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

A Volumetric Albedo Framework for 3D Imaging Sonar Reconstruction.

Eric Westman, Ioannis Gkioulekas, Michael Kaess

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

2019

Underwater Localization and Mapping with Imaging Sonar.

Eric Westman

PhD thesis, 2019

Through-Water Stereo SLAM With Refraction Correction for AUV Localization.

Sudharshan Suresh, Eric Westman, Michael Kaess

IEEE Robotics Autom. Lett., 2019

The reliability of a deep learning model in clinical out-of-distribution MRI data: a multicohort study.

Gustav Mårtensson, Daniel Ferreira, Tobias Granberg, Lena Cavallin, Ketil Oppedal, Alessandro Padovani, Irena Rektorová, Laura Bonanni, Matteo Pardini, Milica G. Kramberger, John-Paul Taylor, Jakub Hort, Jón Snædal, Jaime Kulisevsky, Frédéric Blanc, Angelo Antonini, Patrizia Mecocci, Bruno Vellas, Magda Tsolaki, Iwona Kloszewska, Hilkka Soininen, Simon Lovestone, Andrew Simmons, Dag Aarsland, Eric Westman

CoRR, 2019

AVRA: Automatic Visual Ratings of Atrophy from MRI images using Recurrent Convolutional Neural Networks.

Gustav Mårtensson, Daniel Ferreira, Lena Cavallin, J.-Sebastian Muehlboeck, Lars-Olof Wahlund, Chunliang Wang, Eric Westman

CoRR, 2019

Wide Aperture Imaging Sonar Reconstruction using Generative Models.

Eric Westman, Michael Kaess

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

2018

Information Sparsification in Visual-Inertial Odometry.

Jerry Hsiung, Ming Hsiao, Eric Westman, Rafael Valencia, Michael Kaess

Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

Feature-Based SLAM for Imaging Sonar with Under-Constrained Landmarks.

Eric Westman, Akshay Hinduja, Michael Kaess

Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Dense Planar-Inertial SLAM with Structural Constraints.

Ming Hsiao, Eric Westman, Michael Kaess

Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

2017

Keyframe-based dense planar SLAM.

Ming Hsiao, Eric Westman, Guofeng Zhang, Michael Kaess

Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

2013

TheHiveDB image data management and analysis framework.

Sebastian Muehlboeck, Eric Westman, Andrew Simmons

Frontiers Neuroinformatics, 2013

2012

Combining MRI and CSF measures for classification of Alzheimer's disease and prediction of mild cognitive impairment conversion.

Eric Westman, Sebastian Muehlboeck, Andrew Simmons

NeuroImage, 2012

2011

Multivariate analysis of MRI data for Alzheimer's disease, mild cognitive impairment and healthy controls.

Eric Westman, Andrew Simmons, Yi Zhang, Sebastian Muehlboeck, Catherine Tunnard, Yawu Liu, D. Louis Collins, Alan C. Evans, Patrizia Mecocci, Bruno Vellas, Magda Tsolaki, Iwona Kloszewska, Hilkka Soininen, Simon Lovestone, Christian Spenger, Lars-Olof Wahlund

NeuroImage, 2011

AddNeuroMed and ADNI: Similar patterns of Alzheimer's atrophy and automated MRI classification accuracy in Europe and North America.

Eric Westman, Andrew Simmons, Sebastian Muehlboeck, Patrizia Mecocci, Bruno Vellas, Magda Tsolaki, Iwona Kloszewska, Hilkka Soininen, Michael W. Weiner, Simon Lovestone, Christian Spenger, Lars-Olof Wahlund

NeuroImage, 2011