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Maximilian Nielsen

Showing results (1-10 of 10) with videos related to

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Patterns (New York, N.Y.)|July 15, 2026
MANNERS: A strategy for representation learning in multivariate datasets with high proportions of missing dataLouis Bellmann, Maximilian Nielsen, Philipp Breitfeld
Bioengineering (Basel, Switzerland)|August 26, 2023
Self-Supervision for Medical Image Classification: State-of-the-Art Performance with ~100 Labeled Training Samples per ClassMaximilian Nielsen, Laura Wenderoth, Thilo Sentker, et al.
Methodsx|April 16, 2020
Skin lesion classification using ensembles of multi-resolution EfficientNets with meta dataNils Gessert, Maximilian Nielsen, Mohsin Shaikh, et al.
Computer Methods and Programs in Biomedicine|December 18, 2024
Transferable automatic hematological cell classification: Overcoming data limitations with self-supervised learningLaura Wenderoth, Anne-Marie Asemissen, Franziska Modemann, et al.
Medical Physics|March 27, 2024
Benchmarking machine learning-based real-time respiratory signal predictors in 4D SBRTLukas Wimmert, Maximilian Nielsen, Frederic Madesta, et al.
Medical Image Analysis|March 1, 2021
Multi-scale fully convolutional neural networks for histopathology image segmentation: From nuclear aberrations to the global tissue architectureRüdiger Schmitz, Frederic Madesta, Maximilian Nielsen, et al.
European Radiology|December 24, 2025
Fully automated quantification of net water uptake in acute ischemic stroke using only non-contrast CT imagingThilo Sentker, Maximilian Nielsen, Susan Klapproth, et al.
Patterns (New York, N.Y.)|June 27, 2025
Cluster-based human-in-the-loop strategy for improving machine learning-based circulating tumor cell detection in liquid biopsyHümeyra Husseini-Wüsthoff, Sabine Riethdorf, Andreas Schneeweiss, et al.
Stroke|September 9, 2021
Deep Learning-Based Automated Thrombolysis in Cerebral Infarction Scoring: A Timely Proof-of-Principle StudyMaximilian Nielsen, Moritz Waldmann, Andreas M Frölich, et al.
Medical Image Analysis|May 26, 2026
MRIgRT real-time target tracking: TrackRAD2025 challenge reportTom Julius Blöcker, Pia A W Görts, Yiling Wang, et al.
Pageof 1

Showing results (1-10 of 10) with videos related to

Sort By:
Pageof 1
Patterns (New York, N.Y.)|July 15, 2026
MANNERS: A strategy for representation learning in multivariate datasets with high proportions of missing dataLouis Bellmann, Maximilian Nielsen, Philipp Breitfeld
Bioengineering (Basel, Switzerland)|August 26, 2023
Self-Supervision for Medical Image Classification: State-of-the-Art Performance with ~100 Labeled Training Samples per ClassMaximilian Nielsen, Laura Wenderoth, Thilo Sentker, et al.
Methodsx|April 16, 2020
Skin lesion classification using ensembles of multi-resolution EfficientNets with meta dataNils Gessert, Maximilian Nielsen, Mohsin Shaikh, et al.
Computer Methods and Programs in Biomedicine|December 18, 2024
Transferable automatic hematological cell classification: Overcoming data limitations with self-supervised learningLaura Wenderoth, Anne-Marie Asemissen, Franziska Modemann, et al.
Medical Physics|March 27, 2024
Benchmarking machine learning-based real-time respiratory signal predictors in 4D SBRTLukas Wimmert, Maximilian Nielsen, Frederic Madesta, et al.
Medical Image Analysis|March 1, 2021
Multi-scale fully convolutional neural networks for histopathology image segmentation: From nuclear aberrations to the global tissue architectureRüdiger Schmitz, Frederic Madesta, Maximilian Nielsen, et al.
European Radiology|December 24, 2025
Fully automated quantification of net water uptake in acute ischemic stroke using only non-contrast CT imagingThilo Sentker, Maximilian Nielsen, Susan Klapproth, et al.
Patterns (New York, N.Y.)|June 27, 2025
Cluster-based human-in-the-loop strategy for improving machine learning-based circulating tumor cell detection in liquid biopsyHümeyra Husseini-Wüsthoff, Sabine Riethdorf, Andreas Schneeweiss, et al.
Stroke|September 9, 2021
Deep Learning-Based Automated Thrombolysis in Cerebral Infarction Scoring: A Timely Proof-of-Principle StudyMaximilian Nielsen, Moritz Waldmann, Andreas M Frölich, et al.
Medical Image Analysis|May 26, 2026
MRIgRT real-time target tracking: TrackRAD2025 challenge reportTom Julius Blöcker, Pia A W Görts, Yiling Wang, et al.
Pageof 1