Mathias Perslev
Guest Researcher
Machine Learning
Universitetsparken 1
2100 København Ø
- Published
Can information on past and near-future weather and field conditions predict the safest pesticide application day?
Vuaille, J., Holbak, M., Perslev, Mathias, Diamantopoulos, E., Jensen, Signe Marie, Styczen, Merete Elisabeth, Petersen, Carsten, Strobel, Bjarne W. & Abrahamsen, Per, 2022, In: Computers and Electronics in Agriculture. 203, 14 p., 107454.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Multi‐planar 3D knee MRI segmentation via UNet inspired architectures
Sengar, Sandeep Singh, Meulengracht, C., Boesen, Mikael Ploug, Overgaard, A. F., Gudbergsen, Henrik Rindel, Nybing, J. D., Perslev, Mathias & Dam, Erik Bjørnager, 2023, In: International Journal of Imaging Systems and Technology. 33, 3, p. 985-998Research output: Contribution to journal › Journal article › 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
- Published
Knee Segmentation by Multiplanar Deep Learning Network – with data from OAI
Perslev, Mathias, Pai, A. S. U., Igel, Christian & Dam, Erik Bjørnager, 2018. 1 p.Research output: Contribution to conference › Conference abstract for conference › Research › peer-review
- 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
U-Sleep: resilient high-frequency sleep staging
Perslev, Mathias, Darkner, Sune, Kempfner, L., Nikolic, M., Jennum, Poul & Igel, Christian, 15 Apr 2021, In: npj Digital Medicine. 4, 1, 12 p., 72.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Segmentation of medical images and time series using fully convolutional neural networks
Perslev, Mathias, 2023, Department of Computer Science, Faculty of Science, University of Copenhagen. 316 p.Research output: Book/Report › Ph.D. thesis › Research
- Published
Cross‐Cohort Automatic Knee MRI Segmentation With Multi‐Planar U‐Nets
Perslev, Mathias, Pai, A., Runhaar, J., Igel, Christian & Dam, Erik Bjørnager, 2022, In: Journal of Magnetic Resonance Imaging. 55, 2, p. 1650-1663Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Automatic detection of abnormal sleeping patterns in stroke patients using high-frequency sleep staging
Perslev, Mathias, West, A. S., Simonsen, S. A., Ponsaing, L. B., Iversen, Helle Klingenberg, Igel, Christian & Jennum, Poul, 2022, In: Journal of Sleep Research. 31, S1, 1 p.Research output: Contribution to journal › Conference abstract in journal › Research
- 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
ID: 202363425
Most downloads
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108
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 -
51
downloads
U-Sleep: resilient high-frequency sleep staging
Research output: Contribution to journal › Journal article › Research › peer-review
Published -
27
downloads
Cross‐Cohort Automatic Knee MRI Segmentation With Multi‐Planar U‐Nets
Research output: Contribution to journal › Journal article › Research › peer-review
Published