Josefine Vilsbøll Sundgaard

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 12

Top Topics

Landmark Detection

Reinforcement Learning

Metric Learning

Top Venues

Medical Image Anal.

IEEE J. Biomed. Health Informatics

Publications

Paula López Diez, Josefine Vilsbøll Sundgaard, Ján Margeta, Khassan Diab, François Patou, Rasmus R. Paulsen
Deep reinforcement learning and convolutional autoencoders for anomaly detection of congenital inner ear malformations in clinical CT images. Comput. Medical Imaging Graph. 113 (2024)
Josefine Vilsbøll Sundgaard, Morten Rieger Hannemose, Søren Laugesen, Peter Bray, James Michael Harte, Yosuke Kamide, Chiemi Tanaka, Rasmus R. Paulsen, Anders Nymark Christensen
Multi-modal data generation with a deep metric variational autoencoder. NLDL (2023)
Morten Rieger Hannemose, Josefine Vilsbøll Sundgaard, Niels Kvorning Ternov, Rasmus R. Paulsen, Anders Nymark Christensen
Was that so hard? Estimating human classification difficulty. CoRR (2022)
Paula López Diez, Kristine Aavild Juhl, Josefine Vilsbøll Sundgaard, Hassan Diab, Ján Margeta, François Patou, Rasmus R. Paulsen
Deep Reinforcement Learning for Detection of Abnormal Anatomies. NLDL (2022)
Morten Rieger Hannemose, Josefine Vilsbøll Sundgaard, Niels Kvorning Ternov, Rasmus R. Paulsen, Anders Nymark Christensen
Was that so Hard? Estimating Human Classification Difficulty. AMAI@MICCAI (2022)
Josefine Vilsbøll Sundgaard, Kristine Aavild Juhl, Jakob Mølkjær Slipsager
EyeLoveGAN: Exploiting domain-shifts to boost network learning with cycleGANs. CoRR (2022)
Josefine Vilsbøll Sundgaard, Peter Bray, Søren Laugesen, James Michael Harte, Yosuke Kamide, Chiemi Tanaka, Anders Nymark Christensen, Rasmus R. Paulsen
A Deep Learning Approach for Detecting Otitis Media From Wideband Tympanometry Measurements. IEEE J. Biomed. Health Informatics 26 (7) (2022)
Paula López Diez, Kristine Sørensen, Josefine Vilsbøll Sundgaard, Khassan Diab, Jan Margeta, François Patou, Rasmus R. Paulsen
Deep Reinforcement Learning for Detection of Inner Ear Abnormal Anatomy in Computed Tomography. MICCAI (3) (2022)
Josefine Vilsbøll Sundgaard, Morten Rieger Hannemose, Søren Laugesen, Peter Bray, James Michael Harte, Yosuke Kamide, Chiemi Tanaka, Rasmus R. Paulsen, Anders Nymark Christensen
Multi-modal data generation with a deep metric variational autoencoder. CoRR (2022)
Paula López Diez, Josefine Vilsbøll Sundgaard, François Patou, Jan Margeta, Rasmus Reinhold Paulsen
Facial and Cochlear Nerves Characterization Using Deep Reinforcement Learning for Landmark Detection. MICCAI (4) (2021)
Josefine Vilsbøll Sundgaard, James Michael Harte, Peter Bray, Søren Laugesen, Yosuke Kamide, Chiemi Tanaka, Rasmus R. Paulsen, Anders Nymark Christensen
Deep metric learning for otitis media classification. Medical Image Anal. 71 (2021)
Josefine Vilsbøll Sundgaard, Kristine Aavild Juhl, Klaus Fuglsang Kofoed, Rasmus R. Paulsen
Multi-planar whole heart segmentation of 3D CT images using 2D spatial propagation CNN. Medical Imaging: Image Processing (2020)