David Hagerman Olzon

Doctoral Student at Signal Processing
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Showing 4 publications

2024

A deep multi-stream model for robust prediction of left ventricular ejection fraction in 2D echocardiography

Jennifer Alvén, Eva Hagberg, David Hagerman Olzon et al
Scientific Reports. Vol. 14 (1)
Journal article
2024

Trexplorer: Recurrent DETR for Topologically Correct Tree Centerline Tracking

Roman Naeem, David Hagerman Olzon, Lennart Svensson et al
Lecture Notes in Computer Science. Vol. 15011, p. 744-754
Paper in proceeding
2023

Masked Autoencoder for Self-Supervised Pre-Training on Lidar Point Clouds

Georg Hess, Johan Jaxing, Elias Svensson et al
Proceedings - 2023 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, WACVW 2023, p. 350-359
Paper in proceeding
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
Journal article

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Showing 1 research projects

2020–2025

Semi-supervised Learning for Medical Image Analysis

Fredrik Kahl Imaging and Image Analysis
Roman Naeem Imaging and Image Analysis
David Hagerman Olzon Signal Processing
Lennart Svensson Signal Processing
MedTech West

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