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Josefine Vilsbøll Sundgaard

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Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|February 7, 2024
Deep reinforcement learning and convolutional autoencoders for anomaly detection of congenital inner ear malformations in clinical CT imagesPaula López Diez, Josefine Vilsbøll Sundgaard, Jan Margeta, et al.
Medical Image Analysis|April 13, 2021
Deep metric learning for otitis media classificationJosefine Vilsbøll Sundgaard, James Harte, Peter Bray, et al.
Laryngoscope Investigative Otolaryngology|February 16, 2024
Multi-modal deep learning for joint prediction of otitis media and diagnostic difficultyJosefine Vilsbøll Sundgaard, Morten Rieger Hannemose, Søren Laugesen, et al.
International Journal of Pediatric Otorhinolaryngology|January 16, 2022
Inter-rater reliability of the diagnosis of otitis media based on otoscopic images and wideband tympanometry measurementsJosefine Vilsbøll Sundgaard, Maria Värendh, Franziska Nordström, et al.
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Showing results (1-10 of 4) with videos related to

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Pageof 1
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|February 7, 2024
Deep reinforcement learning and convolutional autoencoders for anomaly detection of congenital inner ear malformations in clinical CT imagesPaula López Diez, Josefine Vilsbøll Sundgaard, Jan Margeta, et al.
Medical Image Analysis|April 13, 2021
Deep metric learning for otitis media classificationJosefine Vilsbøll Sundgaard, James Harte, Peter Bray, et al.
Laryngoscope Investigative Otolaryngology|February 16, 2024
Multi-modal deep learning for joint prediction of otitis media and diagnostic difficultyJosefine Vilsbøll Sundgaard, Morten Rieger Hannemose, Søren Laugesen, et al.
International Journal of Pediatric Otorhinolaryngology|January 16, 2022
Inter-rater reliability of the diagnosis of otitis media based on otoscopic images and wideband tympanometry measurementsJosefine Vilsbøll Sundgaard, Maria Värendh, Franziska Nordström, et al.
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