Mathias Perslev

Mathias Perslev

Guest Researcher

ORCID: 0000-0002-0358-4692

Publication year:
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1 - 10 out of 20Page size: 10
  1. 2024
  2. 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

  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

    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

  5. 2023
  6. 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

  7. 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

  8. 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

  9. 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

  10. 2022
  11. 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

  12. 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

  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

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