Maximilian Nielsen

13 papers Journal 8Unranked 5
YearRankTypeTitle / Venue / Authors
2025 J jnl
Cluster-based human-in-the-loop strategy for improving machine learning-based circulating tumor cell detection in liquid biopsy.
Patterns
Hümeyra Husseini-Wüsthoff, Sabine Riethdorf, Andreas Schneeweiss, Andreas Trumpp, Klaus Pantel, Harriet Wikman, Maximilian Nielsen, René Werner
2025 — conf
Comparison of Framewise Video Classification in Laryngoscopies.
Bildverarbeitung für die Medizin
Ole Felber, Louis Bellmann, Philipp Breitfeld, Martin Petzoldt, Felix Rindt, René Werner, Maximilian Nielsen
2025 J jnl
Transferable automatic hematological cell classification: Overcoming data limitations with self-supervised learning.
Comput. Methods Programs Biomed.
Laura Wenderoth, Anne-Marie Asemissen, Franziska Modemann, Maximilian Nielsen, René Werner
2024 J jnl
Cluster-based human-in-the-loop strategy for improving machine learning-based circulating tumor cell detection in liquid biopsy.
CoRR
Hümeyra Husseini-Wüsthoff, Sabine Riethdorf, Andreas Schneeweiss, Andreas Trumpp, Klaus Pantel, Harriet Wikman, Maximilian Nielsen, René Werner
2023 — conf
Label Efficient Classification in Liquid Biopsy Data by Self-supervision.
Bildverarbeitung für die Medizin
Hümeyra Husseini, Maximilian Nielsen, Klaus Pantel, Harriet Wikman, Sabine Riethdorf, René Werner
2023 J jnl
Self-supervision for medical image classification: state-of-the-art performance with ~100 labeled training samples per class.
CoRR
Maximilian Nielsen, Laura Wenderoth, Thilo Sentker, René Werner
2023 J jnl
Surgical tool classification and localization: results and methods from the MICCAI 2022 SurgToolLoc challenge.
CoRR
Aneeq Zia, Kiran Bhattacharyya, Xi Liu, Max Berniker, Ziheng Wang, Rogerio Nespolo, Satoshi Kondo, Satoshi Kasai, Kousuke Hirasawa, Bo Liu, David Austin, Yiheng Wang, Michal Futrega, Jean-Francois Puget, Zhenqiang Li, Yoichi Sato, Ryo Fujii, Ryo Hachiuma, Mana Masuda, Hideo Saito, An Wang, Mengya Xu, Mobarakol Islam, Long Bai, Winnie Pang, Hongliang Ren, Chinedu Innocent Nwoye, Luca Sestini, Nicolas Padoy, Maximilian Nielsen, Samuel Schüttler, Thilo Sentker, Hümeyra Husseini, Ivo M. Baltruschat, Rüdiger Schmitz, René Werner, Aleksandr Matsun, Mugariya Farooq, Numan Saeed, Jose Renato Restom Viera, Mohammad Yaqub, Neil Getty, Fangfang Xia, Zixuan Zhao, Xiaotian Duan, Xing Yao, Ange Lou, Hao Yang, Jintong Han, Jack H. Noble, Jie Ying Wu, Tamer Abdulbaki Alshirbaji, Nour Aldeen Jalal, Herag Arabian, Ning Ding, Knut Moeller, Weiliang Chen, Quan He, Lena Maier-Hein, Danail Stoyanov, Stefanie Speidel, Anthony M. Jarc
2021 — conf
Abstract: Time Matters - Handling Spatio-temporal Perfusion Information for Automated Treatment in Cerebral Ischemia Scoring.
Bildverarbeitung für die Medizin
Maximilian Nielsen, Moritz Waldmann, Thilo Sentker, Andreas Frölich, Jens Fiehler, René Werner
2021 J jnl
Multi-scale fully convolutional neural networks for histopathology image segmentation: From nuclear aberrations to the global tissue architecture.
Medical Image Anal.
Rüdiger Schmitz, Frederic Madesta, Maximilian Nielsen, Jenny Krause, Stefan Steurer, René Werner, Thomas Rösch
2020 — conf
Time Matters: Handling Spatio-Temporal Perfusion Information for Automated TICI Scoring.
MICCAI (6)
Maximilian Nielsen, Moritz Waldmann, Thilo Sentker, Andreas Frölich, Jens Fiehler, René Werner
2019 — conf
Machbarkeitsstudie zur CNN-basierten Identifikation und TICI-Klassifizierung zerebraler ischämischer Infarkte in DSA-Daten.
Bildverarbeitung für die Medizin
Maximilian Nielsen, Moritz Waldmann, Andreas Frölich, Jens Fiehler, René Werner
2019 J jnl
Multi-scale fully convolutional neural networks for histopathology image segmentation: from nuclear aberrations to the global tissue architecture.
CoRR
Rüdiger Schmitz, Frederic Madesta, Maximilian Nielsen, René Werner, Thomas Rösch
2019 J jnl
Skin Lesion Classification Using Ensembles of Multi-Resolution EfficientNets with Meta Data.
CoRR
Nils Gessert, Maximilian Nielsen, Mohsin Shaikh, René Werner, Alexander Schlaefer