Josefine Vilsbøll Sundgaard

18 papers B 1Journal 7Unranked 10
YearRankTypeTitle / Venue / Authors
2025 — conf
Active Learning with nnUNet for Coronary Artery Lumen Segmentation Using a Centerline Prior.
SCIA (2)
Anna Bøgevang Ekner, Mathias Micheelsen Lowes, Rasmus R. Paulsen, Klaus Fuglsang Kofoed, Andreas Ohrt Johansen, Kristine Aavild Sørensen, Josefine Vilsbøll Sundgaard
2025 — conf
Automated Cardiac Adipose Tissue Segmentation in Computed Tomography: A Literature Review.
SCIA (2)
Andreas With Aspe, Jonas Jalili Pedersen, Andreas Ohrt Johansen, Klaus Fuglsang Kofoed, Kristine Aavild Sørensen, Rasmus Reinhold Paulsen, Josefine Vilsbøll Sundgaard
2025 — conf
Statistical Analysis of Left Ventricular Remodeling Following a Myocardial Infarct.
SCIA (1)
Cathrine Underbjerg Hansen, Mathias Micheelsen Lowes, Andreas Ohrt Johansen, Klaus Fuglsang Kofoed, Jørgen Tobias Kühl, Allan Aasbjerg Nielsen, Rasmus R. Paulsen, Josefine Vilsbøll Sundgaard, Kristine Aavild Sørensen
2025 — conf
Uncertainty-Aware Classification: A Human-Guided Bayesian Deep Learning Framework.
UNSURE@MICCAI
Peter Johannes Tejlgaard Kampen, Marcel Reimann, Morten Rieger Hannemose, Anders Nymark Christensen, Miriam Kolko, Anders Bjorholm Dahl, Josefine Vilsbøll Sundgaard
2024 J jnl
Deep reinforcement learning and convolutional autoencoders for anomaly detection of congenital inner ear malformations in clinical CT images.
Comput. Medical Imaging Graph.
Paula López Diez, Josefine Vilsbøll Sundgaard, Ján Margeta, Khassan Diab, François Patou, Rasmus R. Paulsen
2024 — conf
Identifying Nonalcoholic Fatty Liver Disease and Advanced Liver Fibrosis from MRI in UK Biobank.
MLMI@MICCAI (2)
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
2024 J jnl
Looking into Concept Explanation Methods for Diabetic Retinopathy Classification.
CoRR
Andrea M. Storås, Josefine Vilsbøll Sundgaard
2023 — conf
Multi-modal data generation with a deep metric variational autoencoder.
NLDL
Josefine Vilsbøll Sundgaard, Morten Rieger Hannemose, Søren Laugesen, Peter Bray, James Michael Harte, Yosuke Kamide, Chiemi Tanaka, Rasmus R. Paulsen, Anders Nymark Christensen
2022 J jnl
A Deep Learning Approach for Detecting Otitis Media From Wideband Tympanometry Measurements.
IEEE J. Biomed. Health Informatics
Josefine Vilsbøll Sundgaard, Peter Bray, Søren Laugesen, James Michael Harte, Yosuke Kamide, Chiemi Tanaka, Anders Nymark Christensen, Rasmus R. Paulsen
2022 — conf
Deep Reinforcement Learning for Detection of Abnormal Anatomies.
NLDL
Paula López Diez, Kristine Aavild Juhl, Josefine Vilsbøll Sundgaard, Hassan Diab, Ján Margeta, François Patou, Rasmus R. Paulsen
2022 — conf
Deep Reinforcement Learning for Detection of Inner Ear Abnormal Anatomy in Computed Tomography.
MICCAI (3)
Paula López Diez, Kristine Sørensen, Josefine Vilsbøll Sundgaard, Khassan Diab, Ján Margeta, François Patou, Rasmus R. Paulsen
2022 J jnl
EyeLoveGAN: Exploiting domain-shifts to boost network learning with cycleGANs.
CoRR
Josefine Vilsbøll Sundgaard, Kristine Aavild Juhl, Jakob Mølkjær Slipsager
2022 J jnl
Multi-modal data generation with a deep metric variational autoencoder.
CoRR
Josefine Vilsbøll Sundgaard, Morten Rieger Hannemose, Søren Laugesen, Peter Bray, James Michael Harte, Yosuke Kamide, Chiemi Tanaka, Rasmus R. Paulsen, Anders Nymark Christensen
2022 — conf
Was that so Hard? Estimating Human Classification Difficulty.
AMAI@MICCAI
Morten Rieger Hannemose, Josefine Vilsbøll Sundgaard, Niels Kvorning Ternov, Rasmus R. Paulsen, Anders Nymark Christensen
2022 J jnl
Was that so hard? Estimating human classification difficulty.
CoRR
Morten Rieger Hannemose, Josefine Vilsbøll Sundgaard, Niels Kvorning Ternov, Rasmus R. Paulsen, Anders Nymark Christensen
2021 J jnl
Deep metric learning for otitis media classification.
Medical Image Anal.
Josefine Vilsbøll Sundgaard, James Michael Harte, Peter Bray, Søren Laugesen, Yosuke Kamide, Chiemi Tanaka, Rasmus R. Paulsen, Anders Nymark Christensen
2021 — conf
Facial and Cochlear Nerves Characterization Using Deep Reinforcement Learning for Landmark Detection.
MICCAI (4)
Paula López Diez, Josefine Vilsbøll Sundgaard, François Patou, Ján Margeta, Rasmus Reinhold Paulsen
2020 B conf
Multi-planar whole heart segmentation of 3D CT images using 2D spatial propagation CNN.
Image Processing
Josefine Vilsbøll Sundgaard, Kristine Aavild Juhl, Klaus Fuglsang Kofoed, Rasmus R. Paulsen