Mathias Perslev

Mathias Perslev

Guest Researcher

ORCID: 0000-0002-0358-4692

Publication year:
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1 - 20 out of 20Page size: 500
  1. 2024
  2. Published

    Fully Automated Tumor Segmentation for Brain MRI data using Multiplanner UNet

    Pandey, Sumit, Changdar, Satyasaran, Perslev, Mathias & Dam, Erik Bjørnager, 12 Jan 2024.

    Research output: Working paper › Preprint › Research

  3. 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

  4. 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

  5. 2023
  6. 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. 985-998

    Research output: Contribution to journal › Journal article › Research › peer-review

  7. 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

  8. Published

    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, Ezhov, I., Sekuboyina, A., Navarro, F., Kofler, F., Paetzold, J. C., Shit, S., Hu, X., Lipková, J., Rempfler, M., Piraud, M., Kirschke, J., Wiestler, B., Zhang, Z., Hülsemeyer, C., Beetz, M., Ettlinger, F., Antonelli, M., Bae, W., Bellver, M., Bi, L., Chen, H., Chlebus, G., Dam, Erik Bjørnager, Dou, Q., Fu, C., Georgescu, B., Giró-I-Nieto, X., Gruen, F., Han, X., Heng, P., Hesser, J., Moltz, J. H., Igel, Christian, Isensee, F., Jäger, P., Jia, F., Kaluva, K. C., Khened, M., Kim, I., Kim, J., Kim, S., Kohl, S., Konopczynski, T., Kori, A., Krishnamurthi, G., Li, F., Li, H., Li, J., Li, X., Lowengrub, J., Ma, J., Maier-Hein, K., Maninis, K., Meine, H., Merhof, D., Pai, A., Perslev, Mathias, Petersen, J., Pont-Tuset, J., Qi, J., Qi, X., Rippel, O., Roth, K., Sarasua, I., Schenk, A., Shen, Z., Torres, J., Wachinger, C., Wang, C., Weninger, L., Wu, J., Xu, D., Yang, X., Yu, S. C., Yuan, Y., Yue, M., Zhang, L., Cardoso, J., Bakas, S., Braren, R., Heinemann, V., Pal, C., Tang, A., Kadoury, S., Soler, L., van Ginneken, B., Greenspan, H., Joskowicz, L. & Menze, B., 2023, In: Medical Image Analysis. 84, 24 p., 102680.

    Research output: Contribution to journal › Journal article › Research › peer-review

  9. Published

    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, Gold, G. & Chaudhari, A., 2023, In: Osteoarthritis Imaging. 3, 1, 9 p., 100087.

    Research output: Contribution to journal › Journal article › Research › peer-review

  10. 2022
  11. 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

  12. 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

  13. 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. 1650-1663

    Research output: Contribution to journal › Journal article › Research › peer-review

  14. Published

    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, Napel, S., Pernicka, J. S. G., Rhode, K., Tobon-Gomez, C., Vorontsov, E., Meakin, J. A., Ourselin, S., Wiesenfarth, M., Arbeláez, P., Bae, B., Chen, S., Daza, L., Feng, J., He, B., Isensee, F., Ji, Y., Jia, F., Kim, I., Maier-Hein, K., Merhof, D., Pai, A., Park, B., Perslev, Mathias, Rezaiifar, R., Rippel, O., Sarasua, I., Shen, W., Son, J., Wachinger, C., Wang, L., Wang, Y., Xia, Y., Xu, D., Xu, Z., Zheng, Y., Simpson, A. L., Maier-Hein, L. & Cardoso, M. J., 2022, In: Nature Communications. 13, 1, 1 p., 4128.

    Research output: Contribution to journal › Journal article › Research › peer-review

  15. 2021
  16. 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

  17. Published

    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

  18. Published

    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

  19. 2020
  20. Published

    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, Nakamura, K., Li, X., Deniz, C. M., Juras, V., Regatte, R., Gold, G. E., Hargreaves, B. A., Pedoia, V. & Chaudhari, A. S., 2020, In: Osteoarthritis and Cartilage Open. 28, Suppl. 1, p. 5304-5305

    Research output: Contribution to journal › Conference abstract in journal › Research › peer-review

  21. Published

    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

  22. 2019
  23. 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. 4415-4426

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  24. 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. 15-19

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  25. 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

  26. 2018
  27. 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

ID: 202363425