Frederic Madesta

Publication Activity (10 Years)

Years Active: 2018-2022
Publications (10 Years): 13

Top Topics

Image Segmentation

Top Venues

Bildverarbeitung für die Medizin

Medical Image Anal.

Medical Imaging: Image-Guided Procedures

Publications

Frederic Madesta, Thilo Sentker, Tobias Gauer, René Werner
Deep learning-based conditional inpainting for restoration of artifact-affected 4D CT images. CoRR (2022)
Samuel Schüttler, Frederic Madesta, Thomas Rösch, René Werner, Rüdiger Schmitz
Reinforcement learning-basierte Patchpriorisierung zur beschleunigten Segmentierung von hochauflösenden Endoskopievideodaten. Bildverarbeitung für die Medizin (2022)
Frederic Madesta, Rüdiger Schmitz, Thomas Rösch, René Werner
Abstract: Widening the Focus - Biomedical Image Segmentation Challenges and the Underestimated Role of Patch Sampling and Inference Strategies. Bildverarbeitung für die Medizin (2021)
Rüdiger Schmitz, Frederic Madesta, Maximilian Nielsen, Jenny Krause, Stefan Steurer, René Werner, Thomas Rösch
Multi-scale fully convolutional neural networks for histopathology image segmentation: From nuclear aberrations to the global tissue architecture. Medical Image Anal. 70 (2021)
Nils Gessert, Thilo Sentker, Frederic Madesta, Rüdiger Schmitz, Helge Kniep, Ivo M. Baltruschat, René Werner, Alexander Schlaefer
Skin Lesion Classification Using CNNs With Patch-Based Attention and Diagnosis-Guided Loss Weighting. IEEE Trans. Biomed. Eng. 67 (2) (2020)
Frederic Madesta, Rüdiger Schmitz, Thomas Rösch, René Werner
Widening the Focus: Biomedical Image Segmentation Challenges and the Underestimated Role of Patch Sampling and Inference Strategies. MICCAI (4) (2020)
Thilo Sentker, Frederic Madesta, René Werner
Patient-specific 4D Monte Carlo dose accumulation using correspondence-model-based motion prediction. Medical Imaging: Image-Guided Procedures (2019)
Nils Gessert, Thilo Sentker, Frederic Madesta, Rüdiger Schmitz, Helge Kniep, Ivo M. Baltruschat, René Werner, Alexander Schlaefer
Skin Lesion Classification Using CNNs with Patch-Based Attention and Diagnosis-Guided Loss Weighting. CoRR (2019)
Frederic Madesta, Tobias Gauer, Thilo Sentker, René Werner
Self-consistent deep learning-based boosting of 4D cone-beam computed tomography reconstruction. Medical Imaging: Image Processing (2019)
Rüdiger Schmitz, Frederic Madesta, Maximilian Nielsen, René Werner, Thomas Rösch
Multi-scale fully convolutional neural networks for histopathology image segmentation: from nuclear aberrations to the global tissue architecture. CoRR (2019)
Thilo Sentker, Frederic Madesta, René Werner
GDL-FIRE ^\text 4D : Deep Learning-Based Fast 4D CT Image Registration. MICCAI (1) (2018)
Nils Gessert, Thilo Sentker, Frederic Madesta, Rüdiger Schmitz, Helge Kniep, Ivo M. Baltruschat, René Werner, Alexander Schlaefer
Skin Lesion Diagnosis using Ensembles, Unscaled Multi-Crop Evaluation and Loss Weighting. CoRR (2018)
Lasse Böhme, Frederic Madesta, Thilo Sentker, René Werner
Combining Good Old Random Forest and DeepLabv3+ for ISLES 2018 CT-Based Stroke Segmentation. BrainLes@MICCAI (1) (2018)