Mathias Perslev
Guest Researcher
Machine Learning
Universitetsparken 1
2100 København Ø
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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
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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
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Towards Automatic Cartilage Quantification in Clinical Trials – Continuing from the 2019 IWOAI Knee Segmentation Challenge
Dam, E. B., Desai, A. D., Deniz, C. M., Rajamohan, H. R., Regatte, R., Iriondo, C., Pedoia, V., Majumdar, S., Perslev, M., Igel, C., Pai, A., Gaj, S., Yang, M., Nakamura, K., Li, X., Maqbool, H., Irmakci, I., Song, S-E., Bagci, U., Hargreaves, B. & 2 others, , 2023, In: Osteoarthritis Imaging. 3, 1, 9 p., 100087.Research output: Contribution to journal › Journal article › Research › peer-review
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The Medical Segmentation Decathlon
Antonelli, M., Reinke, A., Bakas, S., Farahani, K., Kopp-Schneider, A., Landman, B. A., Litjens, G., Menze, B., Ronneberger, O., Summers, R. M., van Ginneken, B., Bilello, M., Bilic, P., Christ, P. F., Do, R. K. G., Gollub, M. J., Heckers, S. H., Huisman, H., Jarnagin, W. R., McHugo, M. K. & 38 others, , 2022, In: Nature Communications. 13, 1, 1 p., 4128.Research output: Contribution to journal › Journal article › Research › peer-review
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The Liver Tumor Segmentation Benchmark (LiTS)
Bilic, P., Christ, P., Li, H. B., Vorontsov, E., Ben-Cohen, A., Kaissis, G., Szeskin, A., Jacobs, C., Mamani, G. E. H., Chartrand, G., Lohöfer, F., Holch, J. W., Sommer, W., Hofmann, F., Hostettler, A., Lev-Cohain, N., Drozdzal, M., Amitai, M. M., Vivanti, R., Sosna, J. & 89 others, , 2023, In: Medical Image Analysis. 84, 24 p., 102680.Research output: Contribution to journal › Journal article › Research › peer-review
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The International Workshop on Osteoarthritis Imaging Knee MRI Segmentation Challenge: A Multi-Institute Evaluation and Analysis Framework on a Standardized Dataset
IWOAI Segmentation Challenge Writing Group, I. S. C. W. G., 2021, In: Radiology. Artificial intelligence. 3, 3, 13 p., e200078.Research output: Contribution to journal › Journal article › Research › peer-review
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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
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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
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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
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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
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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
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How Few Annotations are Needed for Segmentation Using a Multi-planar U-Net?
Laprade, W. M., Perslev, Mathias & Sporring, Jon, 2021, Deep Generative Models, and Data Augmentation, Labelling, and Imperfections - First Workshop, DGM4MICCAI 2021, and First Workshop, DALI 2021, Held in Conjunction with MICCAI 2021, Proceedings. Engelhardt, S., Oksuz, I., Zhu, D., Yuan, Y., Mukhopadhyay, A., Heller, N., Huang, S. X., Nguyen, H., Sznitman, R. & Xue, Y. (eds.). Springer, p. 209-216 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 13003 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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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
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Constitutive internalization across therapeutically targeted GPCRs correlates with constitutive activity
Schmidt, Jan Hendrik, Perslev, Mathias, Bukowski, L., Stoklund, M., Herborg, Freja, Herlo, R. & Madsen, Kenneth Lindegaard, 2020, In: Basic & Clinical Pharmacology & Toxicology. 126, S6, p. 116-121 6 p.Research output: Contribution to journal › Journal article › Research › peer-review
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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
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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
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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
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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
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A Multi-Institute Evaluation and Analysis Framework on a Standardized Dataset: Findings From The International Workshop on Osteoarthritis Imaging Knee MRI Segmentation Challenge
Desai, A. D., Caliva, F., Iriondo, C., Khosravan, N., Mortazi, A., Jambawalikar, S., Torigian, D., Ellerman, J., Akcakaya, M., Bagci, U., Tibrewala, R., Flament, I., O`Brien, M., Majumdar, S., Perslev, M., Pai, A., Igel, C., Dam, E. B., Gaj, S., Yang, M. & 9 others, , 2020, In: Osteoarthritis and Cartilage Open. 28, Suppl. 1, p. 5304-5305Research output: Contribution to journal › Conference abstract in journal › Research › peer-review
ID: 202363425
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108
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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