Mathias Perslev
Guest Researcher
Machine Learning
Universitetsparken 1
2100 København Ø
ORCID: 0000-0002-0358-4692
1 - 3 out of 3Page size: 10
- 2019
- Published
U-Time: A Fully Convolutional Network for Time Series Segmentation Applied to Sleep Staging
Perslev, Mathias, Hejselbak Jensen, M., Darkner, Sune, Jørgen Jennum, P. & Igel, Christian, 1 Oct 2019, Advances in Neural Information Processing Systems 32 (NIPS 2019). NIPS Proceedings, Vol. 32. p. 4415-4426Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Accurate segmentation of dental panoramic radiographs with u-NETS
Koch, T. L., Perslev, Mathias, Igel, Christian & Brandt, S. S., 2019, ISBI 2019 - 2019 IEEE International Symposium on Biomedical Imaging. IEEE, p. 15-19Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
One Network to Segment Them All: A General, Lightweight System for Accurate 3D Medical Image Segmentation
Perslev, Mathias, Dam, Erik Bjørnager, Pai, A. & Igel, Christian, 2019, Medical Image Computing and Computer Assisted Intervention – MICCAI 2019 - 22nd International Conference, Proceedings. Shen, D., Yap, P-T., Liu, T., Peters, T. M., Khan, A., Staib, L. H., Essert, C. & Zhou, S. (eds.). Springer VS, p. 30-38 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 11765 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
ID: 202363425
Most downloads
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110
downloads
Knee Segmentation by Multiplanar Deep Learning Network – with data from OAI
Research output: Contribution to conference › Conference abstract for conference › Research › peer-review
Published -
53
downloads
U-Sleep: resilient high-frequency sleep staging
Research output: Contribution to journal › Journal article › Research › peer-review
Published -
29
downloads
Cross‐Cohort Automatic Knee MRI Segmentation With Multi‐Planar U‐Nets
Research output: Contribution to journal › Journal article › Research › peer-review
Published