Rüdiger Schmitz

According to our database, Rüdiger Schmitz authored at least 10 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Surgical tool classification and localization: results and methods from the MICCAI 2022 SurgToolLoc challenge.

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

CoRR, 2023

Extending Tempcyclegan for Virtual Augmentation of Gastrointestinal Endoscopy Training Simulators.

Moritz Wallrodt, Maximilian Schulz-Alsen, Hanno Ehlken, Thomas Rösch, Rüdiger Schmitz, René Werner

Proceedings of the Bildverarbeitung für die Medizin 2023, 2023

2022

Segmenting Medical Instruments in Minimally Invasive Surgeries using AttentionMask.

Christian Wilms, Alexander Michael Gerlach, Rüdiger Schmitz, Simone Frintrop

CoRR, 2022

Reinforcement learning-basierte Patchpriorisierung zur beschleunigten Segmentierung von hochauflösenden Endoskopievideodaten.

Samuel Schüttler, Frederic Madesta, Thomas Rösch, René Werner, Rüdiger Schmitz

Proceedings of the Bildverarbeitung für die Medizin 2022, 2022

2021

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

Rüdiger Schmitz, Frederic Madesta, Maximilian Nielsen, Jenny Krause, Stefan Steurer, René Werner, Thomas Rösch

Medical Image Anal., 2021

Abstract: Widening the Focus - Biomedical Image Segmentation Challenges and the Underestimated Role of Patch Sampling and Inference Strategies.

Frederic Madesta, Rüdiger Schmitz, Thomas Rösch, René Werner

Proceedings of the Bildverarbeitung für die Medizin 2021, 2021

2020

Skin Lesion Classification Using CNNs With Patch-Based Attention and Diagnosis-Guided Loss Weighting.

Nils Gessert, Thilo Sentker, Frederic Madesta, Rüdiger Schmitz, Helge Kniep, Ivo M. Baltruschat, René Werner, Alexander Schlaefer

IEEE Trans. Biomed. Eng., 2020

Widening the Focus: Biomedical Image Segmentation Challenges and the Underestimated Role of Patch Sampling and Inference Strategies.

Frederic Madesta, Rüdiger Schmitz, Thomas Rösch, René Werner

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

2019

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

Rüdiger Schmitz, Frederic Madesta, Maximilian Nielsen, René Werner, Thomas Rösch

CoRR, 2019

2018

Skin Lesion Diagnosis using Ensembles, Unscaled Multi-Crop Evaluation and Loss Weighting.

Nils Gessert, Thilo Sentker, Frederic Madesta, Rüdiger Schmitz, Helge Kniep, Ivo M. Baltruschat, René Werner, Alexander Schlaefer

CoRR, 2018