Mathias Perslev
Guest Researcher
Machine Learning
Universitetsparken 1
2100 København Ø
ORCID: 0000-0002-0358-4692
1 - 3 out of 3Page size: 10
- 2024
- Published
Advancing Kidney, Kidney Tumor, Cyst Segmentation: A Multi-Planner U-Net Approach for the KiTS23 Challenge
Pandey, Sumit, Toshali, Perslev, Mathias & Dam, Erik Bjørnager, 2024, Kidney and Kidney Tumor Segmentation - MICCAI 2023 Challenge, KiTS 2023, Held in Conjunction with MICCAI 2023, Proceedings. Heller, N., Wood, A., Weight, C., Isensee, F., Rädsch, T., Teipaul, R. & Papanikolopoulos, N. (eds.). Springer, p. 143-148 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 14540 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
- Published
Local Gamma Augmentation for Ischemic Stroke Lesion Segmentation on MRI
Middleton, Jon Anthony, Bauer, Marko, Johansen, Jacob, Perslev, Mathias, Sheng, K., Ingala, S., Nielsen, Mads & Pai, A., 2024, Proceedings of the 5th Northern Lights Deep Learning Conference ({NLDL}). PMLR, p. 158-164 (Proceedings of Machine Learning Research, Vol. 233).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