Research ExplorerScientific StaffMaximilian Nielsen Publications

Maximilian Nielsen

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Publications

  1. 2024

  2. Benchmarking machine learning-based real-time respiratory signal predictors in 4D SBRT

    Wimmert, L., Nielsen, M., Madesta, F., Gauer, T., Hofmann, C. & Werner, R., 05.2024, In: MED PHYS. 51, 5, p. 3173-3183 11 p.

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

  3. 2023

  4. Self-Supervision for Medical Image Classification: State-of-the-Art Performance with ~100 Labeled Training Samples per Class

    Nielsen, M., Wenderoth, L., Sentker, T. & Werner, R., 28.07.2023, In: BIOENGINEERING-BASEL. 10, 8, 14 p., 895.

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

  5. Label Efficient Classification in Liquid Biopsy Data by Self-supervision

    Husseini, H., Nielsen, M., Pantel, K., Wikman, H., Riethdorf, S. & Werner, R., 02.06.2023, Bildverarbeitung für die Medizin 2023: Proceedings, German Workshop on Medical Image Computing, Braunschweig, July 2-4, 2023. Deserno, T. M., Handels, H., Maier, A., Maier-Hein, K., Palm, C. & Tolxdorff, T. (eds.). 1 ed. Springer Vieweg, p. 261-266 6 p. (Informatik aktuell).

    Research output: SCORING: Contribution to book/anthology › SCORING: Contribution to collected editions/anthologies › Research › peer-review

  6. 2021

  7. Deep Learning-Based Automated Thrombolysis in Cerebral Infarction Scoring: A Timely Proof-of-Principle Study

    Nielsen, M., Waldmann, M., Frölich, A. M., Flottmann, F., Hristova, E., Bendszus, M., Seker, F., Fiehler, J., Sentker, T. & Werner, R., 11.2021, In: STROKE. 52, 11, p. 3497-3504 8 p.

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

  8. Multi-scale fully convolutional neural networks for histopathology image segmentation: From nuclear aberrations to the global tissue architecture

    Schmitz, R., Madesta, F., Nielsen, M., Krause, J., Steurer, S., Werner, R. & Rösch, T., 05.2021, In: MED IMAGE ANAL. 70, p. 101996 14 p.

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

  9. 2020

  10. Time Matters: Handling Spatio-Temporal Perfusion Information for Automated TICI Scoring

    Nielsen, M., Waldmann, M., Sentker, T., Frölich, A., Fiehler, J. & Werner, R., 10.2020, MICCAI 2020. 1 ed. Springer Nature Switzerland, Vol. 12266. p. 86-96 11 p. (Lecture Notes in Computer Science (LNCS)).

    Research output: SCORING: Contribution to book/anthology › SCORING: Contribution to collected editions/anthologies › Research › peer-review

  11. Skin lesion classification using ensembles of multi-resolution EfficientNets with meta data

    Gessert, N., Nielsen, M., Shaikh, M., Werner, R. & Schlaefer, A., 2020, In: METHODSX. 7, 7, p. 100864 8 p., 100864.

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

  12. 2019

  13. Machbarkeitsstudie zur CNN-basierten Identifikation und TICI-Klassifizierung zerebraler ischämischer Infarkte in DSA-Daten

    Nielsen, M., Waldmann, M., Frölich, A., Fiehler, J. & Werner, R., 07.02.2019, Bildverarbeitung für die Medizin 2019: Algorithmen – Systeme – Anwendungen. Proceedings des Workshops vom 17. bis 19. März 2019 in Lübeck. 1 ed. Springer Vieweg, p. 200-205 6 p. (Informatik aktuell).

    Research output: SCORING: Contribution to book/anthology › SCORING: Contribution to collected editions/anthologies › Research › peer-review