Josefine Vilsbøll Sundgaard

According to our database, Josefine Vilsbøll Sundgaard authored at least 11 papers between 2020 and 2024.

Collaborative distances:

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

2024

Deep reinforcement learning and convolutional autoencoders for anomaly detection of congenital inner ear malformations in clinical CT images.

Paula López Diez, Josefine Vilsbøll Sundgaard, Ján Margeta, Khassan Diab, François Patou, Rasmus R. Paulsen

Comput. Medical Imaging Graph., 2024

Identifying Nonalcoholic Fatty Liver Disease and Advanced Liver Fibrosis from MRI in UK Biobank.

Rami Al-Belmpeisi, Kristine Aavild Sørensen, Josefine Vilsbøll Sundgaard, Puria Nabilou, Monica Jane Emerson, Peter Hjørringgaard Larsen, Lise Lotte Gluud, Thomas Lund Andersen, Anders Bjorholm Dahl

Proceedings of the Machine Learning in Medical Imaging - 15th International Workshop, 2024

2023

Multi-modal data generation with a deep metric variational autoencoder.

Josefine Vilsbøll Sundgaard, Morten Rieger Hannemose, Søren Laugesen, Peter Bray, James Michael Harte, Yosuke Kamide, Chiemi Tanaka, Rasmus R. Paulsen, Anders Nymark Christensen

Proceedings of the 2023 Northern Lights Deep Learning Workshop, 2023

2022

A Deep Learning Approach for Detecting Otitis Media From Wideband Tympanometry Measurements.

Josefine Vilsbøll Sundgaard, Peter Bray, Søren Laugesen, James Michael Harte, Yosuke Kamide, Chiemi Tanaka, Anders Nymark Christensen, Rasmus R. Paulsen

IEEE J. Biomed. Health Informatics, 2022

EyeLoveGAN: Exploiting domain-shifts to boost network learning with cycleGANs.

Josefine Vilsbøll Sundgaard, Kristine Aavild Juhl, Jakob Mølkjær Slipsager

CoRR, 2022

Deep Reinforcement Learning for Detection of Abnormal Anatomies.

Paula López Diez, Kristine Aavild Juhl, Josefine Vilsbøll Sundgaard, Hassan Diab, Ján Margeta, François Patou, Rasmus R. Paulsen

Proceedings of the 2022 Northern Lights Deep Learning Workshop, 2022

Was that so Hard? Estimating Human Classification Difficulty.

Morten Rieger Hannemose, Josefine Vilsbøll Sundgaard, Niels Kvorning Ternov, Rasmus R. Paulsen, Anders Nymark Christensen

Proceedings of the Applications of Medical Artificial Intelligence, 2022

Deep Reinforcement Learning for Detection of Inner Ear Abnormal Anatomy in Computed Tomography.

Paula López Diez, Kristine Sørensen, Josefine Vilsbøll Sundgaard, Khassan Diab, Ján Margeta, François Patou, Rasmus R. Paulsen

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021

Deep metric learning for otitis media classification.

Josefine Vilsbøll Sundgaard, James Michael Harte, Peter Bray, Søren Laugesen, Yosuke Kamide, Chiemi Tanaka, Rasmus R. Paulsen, Anders Nymark Christensen

Medical Image Anal., 2021

Facial and Cochlear Nerves Characterization Using Deep Reinforcement Learning for Landmark Detection.

Paula López Diez, Josefine Vilsbøll Sundgaard, François Patou, Ján Margeta, Rasmus Reinhold Paulsen

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2020

Multi-planar whole heart segmentation of 3D CT images using 2D spatial propagation CNN.

Josefine Vilsbøll Sundgaard, Kristine Aavild Juhl, Klaus Fuglsang Kofoed, Rasmus R. Paulsen

Proceedings of the Medical Imaging 2020: Image Processing, 2020