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ORCIDJosefine Vilsbøll Sundgaard
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- affiliation: Technical University of Denmark, Kongens Lyngby, Denmark
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Journal Articles
- 2024
[j3]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: 102343 (2024)- 2022
- [j2]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): 2974-2982 (2022) - 2021
- [j1]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: 102034 (2021)
Conference and Workshop Papers
- 2024
- [c7]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:
Identifying Nonalcoholic Fatty Liver Disease and Advanced Liver Fibrosis from MRI in UK Biobank. MLMI@MICCAI (2) 2024: 222-231 - 2023
- [c6]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 - 2022
- [c5]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: 88-97 - [c4]Paula López Diez, Kristine Sørensen, Josefine Vilsbøll Sundgaard, Khassan Diab, Ján Margeta, François Patou, Rasmus R. Paulsen:
Deep Reinforcement Learning for Detection of Inner Ear Abnormal Anatomy in Computed Tomography. MICCAI (3) 2022: 697-706 - [c3]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 - 2021
- [c2]Paula López Diez, Josefine Vilsbøll Sundgaard, François Patou, Ján Margeta, Rasmus Reinhold Paulsen:
Facial and Cochlear Nerves Characterization Using Deep Reinforcement Learning for Landmark Detection. MICCAI (4) 2021: 519-528 - 2020
- [c1]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: 113131Y
Informal and Other Publications
- 2024
- [i4]Andrea M. Storås, Josefine Vilsbøll Sundgaard:
Looking into Concept Explanation Methods for Diabetic Retinopathy Classification. CoRR abs/2410.03188 (2024) - 2022
- [i3]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 abs/2202.03434 (2022) - [i2]Josefine Vilsbøll Sundgaard, Kristine Aavild Juhl, Jakob Mølkjær Slipsager:
EyeLoveGAN: Exploiting domain-shifts to boost network learning with cycleGANs. CoRR abs/2203.05344 (2022) - [i1]Morten Rieger Hannemose, Josefine Vilsbøll Sundgaard, Niels Kvorning Ternov, Rasmus R. Paulsen, Anders Nymark Christensen:
Was that so hard? Estimating human classification difficulty. CoRR abs/2203.11824 (2022)
Coauthor Index
aka: Rasmus Reinhold Paulsen
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