Jennifer Alvén

According to our database, Jennifer Alvén authored at least 10 papers between 2015 and 2023.

Collaborative distances:

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

2023

Deep Nearest Neighbors for Anomaly Detection in Chest X-Rays.

Xixi Liu, Jennifer Alvén, Ida Häggström, Christopher Zach

Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023

2022

Semi-supervised learning with natural language processing for right ventricle classification in echocardiography - a scalable approach.

Eva Hagberg, David Hagerman, Richard Johansson, Nasser Hosseini, Jan Liu, Elin Björnsson, Jennifer Alvén, Ola Hjelmgren

Comput. Biol. Medicine, 2022

2019

Shape-aware label fusion for multi-atlas frameworks.

Jennifer Alvén, Fredrik Kahl, Matilda Landgren, Viktor Larsson, Johannes Ulén, Olof Enqvist

Pattern Recognit. Lett., 2019

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

Jennifer Alvén, Kerstin Heurling, Ruben Smith, Olof Strandberg, Michael Schöll, Oskar Hansson, Fredrik Kahl

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

2017

Max-Margin Learning of Deep Structured Models for Semantic Segmentation.

Måns Larsson, Jennifer Alvén, Fredrik Kahl

Proceedings of the Image Analysis - 20th Scandinavian Conference, 2017

Multiatlas Segmentation Using Robust Feature-Based Registration.

Frida Fejne, Matilda Landgren, Jennifer Alvén, Johannes Ulén, Johan Fredriksson, Viktor Larsson, Olof Enqvist, Fredrik Kahl

Proceedings of the Cloud-Based Benchmarking of Medical Image Analysis, 2017

2016

Überatlas: Fast and robust registration for multi-atlas segmentation.

Jennifer Alvén, Alexander Norlén, Olof Enqvist, Fredrik Kahl

Pattern Recognit. Lett., 2016

Shape-aware multi-atlas segmentation.

Jennifer Alvén, Fredrik Kahl, Matilda Landgren, Viktor Larsson, Johannes Ulén

Proceedings of the 23rd International Conference on Pattern Recognition, 2016

2015

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

Jennifer Alvén, Alexander Norlén, Olof Enqvist, Fredrik Kahl

Proceedings of the Image Analysis - 19th Scandinavian Conference, 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 Organ Segmentation Challenge co-located with IEEE International Symposium on Biomedical Imaging (ISBI 2015), 2015