Jennifer Alvén

Showing 11 publications

2020

Combining Shape and Learning for Medical Image Analysis

Jennifer Alvén
Doctoral thesis
2019

A Deep Learning Approach to MR-less Spatial Normalization for Tau PET Images

Jennifer Alvén, Kerstin Heurling, Ruben Smith et al
Medical Image Computing and Computer Assisted Intervention – MICCAI 2019. MICCAI 2019. Lecture Notes in Computer Science. Vol. 11765, p. 355-363
Paper in proceeding
2019

Shape-aware label fusion for multi-atlas frameworks

Jennifer Alvén, Fredrik Kahl, Olof Enqvist
Pattern Recognition Letters
Journal article
2017

Multiatlas Segmentation Using Robust Feature-Based Registration

Frida Fejne, Matilda Landgren, Jennifer Alvén et al
, Cloud-Based Benchmarking of Medical Image Analysis, p. 203-218
Book chapter
2017

Max-margin learning of deep structured models for semantic segmentation

Måns Larsson, Jennifer Alvén, Fredrik Kahl
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), p. 28-40
Paper in proceeding
2017

Shape-aware multi-atlas segmentation

Jennifer Alvén, Fredrik Kahl, Johan Fredriksson et al
Proceedings - 23rd International Conference on Pattern Recognition, ICPR 2016, Cancun, Mexico, 4-8 December 2016, p. 1101-1106
Paper in proceeding
2016

Automatic pericardium segmentation and quantification of epicardial fat from computed tomography angiography

Alexander Norlén, Jennifer Alvén, David Molnar et al
Journal of Medical Imaging. Vol. 3 (3), p. Article number 034003-
Journal article
2016

Überatlas: Fast and robust registration for multi-atlas segmentation

Jennifer Alvén, Alexander Norlén, Olof Enqvist et al
Pattern Recognition Letters. Vol. 80, p. 249-255
Journal article
2015

Überatlas: Robust Speed-Up of Feature-Based Registration and Multi-Atlas Segmentation

Jennifer Alvén, Alexander Norlén, Olof Enqvist et al
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 9127, p. 92-102
Paper in proceeding
2015

Good Features for Reliable Registration in Multi-Atlas Segmentation

Fredrik Kahl, Jennifer Alvén, Olof Enqvist et al
Proceedings of the VISCERAL Anatomy3 Segmentation Challenge co-located with IEEE International Symposium on Biomedical Imaging (ISBI 2015). Vol. 1390 (January), p. 12-17
Paper in proceeding

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Showing 1 research projects

2020–2021

Deep Learning for Extracting Tree Structures in Medical Images

Fredrik Kahl Imaging and Image Analysis
Jennifer Alvén Imaging and Image Analysis
Chalmers AI Research Centre (CHAIR)

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