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 (Image Processing, 2020)

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 (MICCAI (4), 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)

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 (MICCAI (3), 2022)

Was that so Hard? Estimating Human Classification Difficulty. - Morten Rieger Hannemose; Josefine Vilsbøll Sundgaard; Niels Kvorning Ternov; Rasmus R. Paulsen; Anders Nymark Christensen (AMAI@MICCAI, 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 (NLDL, 2022)

EyeLoveGAN: Exploiting domain-shifts to boost network learning with cycleGANs. - Josefine Vilsbøll Sundgaard; Kristine Aavild Juhl; Jakob Mølkjær Slipsager (CoRR, 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)

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 (NLDL, 2023)

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 (MLMI@MICCAI (2), 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)

Looking into Concept Explanation Methods for Diabetic Retinopathy Classification. - Andrea M. Storås; Josefine Vilsbøll Sundgaard (CoRR, 2024)

Automated Cardiac Adipose Tissue Segmentation in Computed Tomography: A Literature Review. - Andreas With Aspe; Jonas Jalili Pedersen; Andreas Ohrt Johansen; Klaus Fuglsang Kofoed; Kristine Aavild Sørensen; Rasmus Reinhold Paulsen; Josefine Vilsbøll Sundgaard (SCIA (2), 2025)

Active Learning with nnUNet for Coronary Artery Lumen Segmentation Using a Centerline Prior. - Anna Bøgevang Ekner; Mathias Micheelsen Lowes; Rasmus R. Paulsen; Klaus Fuglsang Kofoed; Andreas Ohrt Johansen; Kristine Aavild Sørensen; Josefine Vilsbøll Sundgaard (SCIA (2), 2025)

Statistical Analysis of Left Ventricular Remodeling Following a Myocardial Infarct. - 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 (SCIA (1), 2025)