Jennifer Alvén

Postdoc vid Signalbehandling och medicinsk teknik

Kontaktuppgifter ORCID

Publikationer (14)
Projekt (1)

Visar 14 publikationer

2023

High-quality annotations for deep learning enabled plaque analysis in SCAPIS cardiac computed tomography angiography

Erika Fagman, Jennifer Alvén, Johan Westerbergh et al

Heliyon. Vol. 9 (5)

Artikel i vetenskaplig tidskrift

2022

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

Eva Hagberg, David Hagerman Olzon, Richard Johansson et al

Computers in Biology and Medicine. Vol. 143

Artikel i vetenskaplig tidskrift

2022

Development of a novel method to measure bone marrow fat fraction in older women using high-resolution peripheral quantitative computed tomography

Alison Flehr, Julius Källgård, Jennifer Alvén et al

Osteoporosis International. Vol. In Press

Artikel i vetenskaplig tidskrift

2020

Combining Shape and Learning for Medical Image Analysis

Jennifer Alvén

Doktorsavhandling

2019

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

Jennifer Alvén, Kerstin Heurling, Ruben Smith et al

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 11765, p. 355-363

Paper i proceeding

2019

Shape-aware label fusion for multi-atlas frameworks

Jennifer Alvén, Fredrik Kahl, Olof Enqvist

Pattern Recognition Letters. Vol. 124, p. 109-117

Artikel i vetenskaplig tidskrift

2017

Improving Multi-Atlas Segmentation Methods for Medical Images

Jennifer Alvén

Licentiatavhandling

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

Kapitel i bok

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). Vol. 10270 LNCS, p. 28-40

Paper i 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-

Artikel i vetenskaplig tidskrift

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

Artikel i vetenskaplig tidskrift

2016

Shape-aware multi-atlas segmentation

Jennifer Alvén, Fredrik Kahl, Matilda Landgren et al

Proceedings - International Conference on Pattern Recognition. Vol. 0, p. 1101-1106

Paper i proceeding

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 i proceeding

2015

Good Features for Reliable Registration in Multi-Atlas Segmentation

Fredrik Kahl, Jennifer Alvén, Olof Enqvist et al

CEUR Workshop Proceedings. Vol. 1390 (January), p. 12-17

Paper i proceeding

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Visar 1 forskningsprojekt

2020–2021

Deep Learning för att extrahera trädstrukturer i medicinska bilder

Fredrik Kahl Digitala bildsystem och bildanalys

Jennifer Alvén Digitala bildsystem och bildanalys

Chalmers AI-forskningscentrum (CHAIR)

Det kan finnas fler projekt där Jennifer Alvén medverkar, men du måste vara inloggad som anställd på Chalmers för att kunna se dem.