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Jennifer Alvén
Affiliated to Research
Department of RadiologyAbout Jennifer Alvén
Jennifer Alvén is an Assistant Professor in the Computer Vision and Medical Image Analysis group at the Department of Electrical Engineering, Chalmers University of Technology, see https://www.chalmers.se/en/persons/alven/?tab=0 for more details and profile at Google Scholar for updated publication history.
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A deep multi-stream model for robust prediction of left ventricular ejection fraction in 2D
echocardiography
Jennifer Alvén, Eva Hagberg, David Hagerman, Richard Petersen, Ola Hjelmgren
Scientific Reports - 2024 -
High-quality annotations for deep learning enabled plaque analysis in SCAPIS cardiac computed tomography
angiography
Erika Fagman, Jennifer Alvén, J. Westerbergh, P. Kitslaar, Mikael Kercsik, K. Cederlund, O. Duvernoy, J. Engvall, I. Goncalves, H. Markstad, E. Ostenfeld, Göran Bergström, Ola Hjelmgren
Heliyon - 2023 -
Semi-supervised learning with natural language processing for right ventricle classification in echocardiography—a scalable
approach
Eva Hagberg, David Hagerman, Richard Johansson, N. Hosseini, J. Liu, E. Björnsson, Jennifer Alvén, Ola Hjelmgren
Computers in Biology and Medicine - 2022 -
Development of a novel method to measure bone marrow fat fraction in older women using high-resolution peripheral quantitative computed
tomography
A. Flehr, Julius Källgård, Jennifer Alvén, Kerstin M Lagerstrand, Evin Papalini, M. Wheeler, Liesbeth Vandenput, F. Kahl, Kristian F Axelsson, Daniel Sundh, Raghunath Shirish Mysore, Mattias Lorentzon
Osteoporosis International - 2022 -
Combining shape and learning for medical image
analysis
Jennifer Alvén
2020 -
Improving Multi-Atlas Segmentation Methods for Medical
Images
Jennifer Alvén
2017 -
Automatic pericardium segmentation and quantification of epicardial fat from computed tomography
angiography
Alexander Norlén, Jennifer Alvén, David Molnar, Olof Enqvist, Rauni Rossi-Norrlund, John Brandberg, Göran Bergström, Fredrik Kahl
Journal of Mecial Imaging - 2016 -
Überatlas: Fast and robust registration for multi-atlas
segmentation
Jennifer Alvén, Alexander Norlén, Olof Enqvist, Fredrik Kahl
Pattern Recognition Letters - 2016 -
Überatlas: Robust Speed-Up of Feature-Based Registration and Multi-Atlas
Segmentation
Jennifer Alvén, Alexander Norlén, Olof Enqvist, Fredrik Kahl
Scandinavian Conference on Image Analysis Proceedings (Lecture Notes in Computer Science) - 2015 -
Good Features for Reliable Registration in Multi-Atlas
Segmentation
Fredrik Kahl, Jennifer Alvén, Olof Enqvist, Frida Fejne, Johannes Ulén, Johan Fredriksson, Matilda Landgren, Viktor Larsson
Proceedings of the VISCERAL Anatomy3 Segmentation Challenge co-located with IEEE International Symposium on Biomedical Imaging (ISBI 2015) - 2015