Frederic Madesta

16 papers B 1Journal 9Unranked 6
YearRankTypeTitle / Venue / Authors
2025 J jnl
Beyond the LUMIR challenge: The pathway to foundational registration models.
CoRR
Junyu Chen, Shuwen Wei, Joel Honkamaa, Pekka Marttinen, Hang Zhang, Min Liu, Yichao Zhou, Zuopeng Tan, Zhuoyuan Wang, Yi Wang, Hongchao Zhou, Shunbo Hu, Yi Zhang, Qian Tao, Lukas Förner, Thomas Wendler, Bailiang Jian, Benedikt Wiestler, Tim Hable, Jin Kim, Dan Ruan, Frederic Madesta, Thilo Sentker, Wiebke Heyer, Lianrui Zuo, Yuwei Dai, Jing Wu, Jerry L. Prince, Harrison X. Bai, Yong Du, Yihao Liu, Alessa Hering, Reuben Dorent, Lasse Hansen, Mattias P. Heinrich, Aaron Carass
2025 J jnl
Learn2Reg 2024: New Benchmark Datasets Driving Progress on New Challenges.
CoRR
Lasse Hansen, Wiebke Heyer, Christoph Großbröhmer, Frederic Madesta, Thilo Sentker, Jiazheng Wang, Yuxi Zhang, Hang Zhang, Min Liu, Junyi Wang, Xi Zhu, Yuhua Li, Liwen Wang, Daniil Morozov, Nazim Haouchine, Joel Honkamaa, Pekka Marttinen, Yichao Zhou, Zuopeng Tan, Zhuoyuan Wang, Yi Wang, Hongchao Zhou, Shunbo Hu, Yi Zhang, Qian Tao, Lukas Förner, Thomas Wendler, Bailiang Jian, Christian Wachinger, Jin Kim, Dan Ruan, Marek Wodzinski, Henning Müller, Tony C. W. Mok, Xi Jia, Jinming Duan, Mikael Brudfors, Seyed-Ahmad Ahmadi, Yunzheng Zhu, William Hsu, Tina Kapur, William M. Wells, Alexandra J. Golby, Aaron Carass, Harrison X. Bai, Yihao Liu, Perrine Paul-Gilloteaux, Joakim Lindblad, Natasa Sladoje, Andreas Walter, Junyu Chen, Reuben Dorent, Alessa Hering, Mattias P. Heinrich
2024 J jnl
Oriented histogram-based vector field embedding for characterizing 4D CT data sets in radiotherapy.
CoRR
Frederic Madesta, Lukas Wimmert, Tobias Gauer, René Werner, Thilo Sentker
2022 J jnl
Deep learning-based conditional inpainting for restoration of artifact-affected 4D CT images.
CoRR
Frederic Madesta, Thilo Sentker, Tobias Gauer, René Werner
2022 — conf
Reinforcement learning-basierte Patchpriorisierung zur beschleunigten Segmentierung von hochauflösenden Endoskopievideodaten.
Bildverarbeitung für die Medizin
Samuel Schüttler, Frederic Madesta, Thomas Rösch, René Werner, Rüdiger Schmitz
2021 — conf
Abstract: Widening the Focus - Biomedical Image Segmentation Challenges and the Underestimated Role of Patch Sampling and Inference Strategies.
Bildverarbeitung für die Medizin
Frederic Madesta, Rüdiger Schmitz, Thomas Rösch, 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 J jnl
Skin Lesion Classification Using CNNs With Patch-Based Attention and Diagnosis-Guided Loss Weighting.
IEEE Trans. Biomed. Eng.
Nils Gessert, Thilo Sentker, Frederic Madesta, Rüdiger Schmitz, Helge Kniep, Ivo M. Baltruschat, René Werner, Alexander Schlaefer
2020 — conf
Widening the Focus: Biomedical Image Segmentation Challenges and the Underestimated Role of Patch Sampling and Inference Strategies.
MICCAI (4)
Frederic Madesta, Rüdiger Schmitz, Thomas Rösch, 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 — conf
Patient-specific 4D Monte Carlo dose accumulation using correspondence-model-based motion prediction.
Image-Guided Procedures
Thilo Sentker, Frederic Madesta, René Werner
2019 B conf
Self-consistent deep learning-based boosting of 4D cone-beam computed tomography reconstruction.
Image Processing
Frederic Madesta, Tobias Gauer, Thilo Sentker, René Werner
2019 J jnl
Skin Lesion Classification Using CNNs with Patch-Based Attention and Diagnosis-Guided Loss Weighting.
CoRR
Nils Gessert, Thilo Sentker, Frederic Madesta, Rüdiger Schmitz, Helge Kniep, Ivo M. Baltruschat, René Werner, Alexander Schlaefer
2018 — conf
Combining Good Old Random Forest and DeepLabv3+ for ISLES 2018 CT-Based Stroke Segmentation.
BrainLes@MICCAI (1)
Lasse Böhme, Frederic Madesta, Thilo Sentker, René Werner
2018 — conf
GDL-FIRE ^\text 4D : Deep Learning-Based Fast 4D CT Image Registration.
MICCAI (1)
Thilo Sentker, Frederic Madesta, René Werner
2018 J jnl
Skin Lesion Diagnosis using Ensembles, Unscaled Multi-Crop Evaluation and Loss Weighting.
CoRR
Nils Gessert, Thilo Sentker, Frederic Madesta, Rüdiger Schmitz, Helge Kniep, Ivo M. Baltruschat, René Werner, Alexander Schlaefer