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Mathias Perslev
Mathias Perslev
PhD Student @ Department of Computer Science, University of Copenhagen
Verified email at di.ku.dk - Homepage
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Cited by
Year
U-time: A fully convolutional network for time series segmentation applied to sleep staging
M Perslev, M Jensen, S Darkner, PJ Jennum, C Igel
Advances in Neural Information Processing Systems 32, 2019
902019
The medical segmentation decathlon
M Antonelli, A Reinke, S Bakas, K Farahani, BA Landman, G Litjens, ...
arXiv preprint arXiv:2106.05735, 2021
542021
One network to segment them all: A general, lightweight system for accurate 3d medical image segmentation
M Perslev, EB Dam, A Pai, C Igel
International Conference on Medical Image Computing and Computer-Assisted …, 2019
522019
Accurate segmentation of dental panoramic radiographs with U-NETS
TL Koch, M Perslev, C Igel, SS Brandt
2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019), 15-19, 2019
402019
U-Sleep: resilient high-frequency sleep staging
M Perslev, S Darkner, L Kempfner, M Nikolic, PJ Jennum, C Igel
NPJ digital medicine 4 (1), 1-12, 2021
302021
The international workshop on osteoarthritis imaging knee MRI segmentation challenge: a multi-institute evaluation and analysis framework on a standardized dataset
AD Desai, F Caliva, C Iriondo, A Mortazi, S Jambawalikar, U Bagci, ...
Radiology: Artificial Intelligence 3 (3), 2021
182021
Constitutive internalization across therapeutically targeted GPCRs correlates with constitutive activity
J Hendrik Schmidt, M Perslev, L Bukowski, M Stoklund, F Herborg, ...
Basic & Clinical Pharmacology & Toxicology 126, 116-121, 2020
62020
Cross‐cohort automatic knee MRI segmentation with multi‐planar U‐nets
M Perslev, A Pai, J Runhaar, C Igel, EB Dam
Journal of Magnetic Resonance Imaging 55 (6), 1650-1663, 2022
12022
MULTI-INSTITUTIONAL LARGE-SCALE VALIDATION OF 8 METHODS FOR AUTOMATIC KNEE MRI SEGMENTATION FOR USE IN CLINICAL TRIALS
EB Dam, A Desai, C Deniz, H Rajamohan, R Regatte, C Iriondo, V Pedoia, ...
Osteoarthritis and Cartilage 30, S291-S292, 2022
2022
How few annotations are needed for segmentation using a multi-planar U-Net?
WM Laprade, M Perslev, J Sporring
Deep Generative Models, and Data Augmentation, Labelling, and Imperfections …, 2021
2021
A Report on the International Workshop on Osteoarthritis Imaging Segmentation Challenge: A Multi-Institute Evaluation on a Standard Dataset
AD Desai, F Caliva, C Iriondo, N Khosravan, A Mortazi, S Jambawalikar, ...
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