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Maximilian Nielsen

Observed names: M Nielsen, Nielsen, Maximilian
ORCID: 0000-0001-7085-1677
Observed ORCID: 0000-0001-7085-1677
OpenAlex ID: A5017433964
Skin lesion classification using ensembles of multi-resolution EfficientNets with meta data
2020 · Nils Gessert, Maximilian Nielsen, et al. · MethodsX · 378
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Multi-scale fully convolutional neural networks for histopathology image segmentation: From nuclear aberrations to the global tissue architecture
2021 · Rüdiger Schmitz, Frederic Madesta, et al. · Medical Image Analysis · 115
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Self-Supervision for Medical Image Classification: State-of-the-Art Performance with ~100 Labeled Training Samples per Class
2023 · Maximilian Nielsen, Laura Wenderoth, et al. · Bioengineering · 22
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Deep Learning–Based Automated Thrombolysis in Cerebral Infarction Scoring: A Timely Proof-of-Principle Study
2021 · Maximilian Nielsen, Moritz Waldmann, et al. · Stroke · 22
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Time Matters: Handling Spatio-Temporal Perfusion Information for Automated TICI Scoring
2020 · Maximilian Nielsen, Moritz Waldmann, et al. · Lecture notes in computer science · 11
Cluster-based human-in-the-loop strategy for improving machine learning-based circulating tumor cell detection in liquid biopsy
2025 · Hümeyra Husseini-Wüsthoff, Sabine Riethdorf, et al. · Patterns · 6
Benchmarking machine learning‐based real‐time respiratory signal predictors in 4D SBRT
2024 · Lukas Wimmert, Maximilian Nielsen, et al. · Medical Physics · 6
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Intuitive Surgical SurgToolLoc and SurgVU Challenges Results: 2022-2025
2023 · Zia, Aneeq, Berniker, Max, et al. · arXiv (Cornell University) · 6
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Fully automated quantification of net water uptake in acute ischemic stroke using only non-contrast CT imaging
2025 · Thilo Sentker, Maximilian Nielsen, et al. · European Radiology · 3
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MRIgRT real-time target tracking: TrackRAD2025 challenge report
2026 · Tom Julius Blöcker, Pia A.W. Görts, et al. · Medical Image Analysis · 2
Machbarkeitsstudie zur CNN-basierten Identifikation und TICI-Klassifizierung zerebraler ischämischer Infarkte in DSA-Daten
2019 · Maximilian Nielsen, Moritz Waldmann, et al. · Informatik aktuell · 2
Transferable automatic hematological cell classification: Overcoming data limitations with self-supervised learning
2024 · Laura Wenderoth, Anne-Marie Asemissen, et al. · Computer Methods and Programs in Biomedicine · 1
Label Efficient Classification in Liquid Biopsy Data by Self-supervision
2023 · Hümeyra Husseini, Maximilian Nielsen, et al. · Informatik aktuell · 1
Ischemic Stroke Segmentation and Net Water Uptake Quantification on Multicenter Non-Contrast CT Using Supervised Target-Domain Adaptation
2026 · Britt, Linus, Nielsen, Maximilian, et al. · arXiv (Cornell University)
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No Chains, Just Gains: Ensembled SAM2.1 Motion-Tracking for Cine-MRI (TrackRAD 2025)
2026 · Maximilian Nielsen, Thilo Sentker · Lecture notes in computer science
Modelling airway management difficulty: a state machine analysis of videolaryngoscopic intubation recordings
2026 · Felix Rindt, Louis Bellmann, et al. · British Journal of Anaesthesia
MANNERS: A strategy for representation learning in multivariate datasets with high proportions of missing data
2026 · Louis Bellmann, Maximilian Nielsen, et al. · Patterns
Comparison of Framewise Video Classification in Laryngoscopies
2025 · Ole Felber, Louis Bellmann, et al. · Informatik aktuell
P94 Deep learning-based automated device detection for assessment standardisation in mechanical thrombectomy
2022 · H Guerreiro, M Nielsen, et al. · 14th Congress of the European Society of Minimally Invasive Neurological Therapy 2022 Meeting Abstracts
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Abstract: Time Matters
2021 · Maximilian Nielsen, Moritz Waldmann, et al. · Informatik aktuell
Works count: 20
Citation count: 574
H-index: 6
I10-index: 5
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