Frederic Madesta

According to our database, Frederic Madesta authored at least 12 papers between 2018 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2022

Deep learning-based conditional inpainting for restoration of artifact-affected 4D CT images.

Frederic Madesta, Thilo Sentker, Tobias Gauer, René Werner

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

Self-consistent deep learning-based boosting of 4D cone-beam computed tomography reconstruction.

Frederic Madesta, Tobias Gauer, Thilo Sentker, René Werner

Proceedings of the Medical Imaging 2019: Image Processing, 2019

Patient-specific 4D Monte Carlo dose accumulation using correspondence-model-based motion prediction.

Thilo Sentker, Frederic Madesta, René Werner

Proceedings of the Medical Imaging 2019: Image-Guided Procedures, 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

GDL-FIRE ^\text 4D : Deep Learning-Based Fast 4D CT Image Registration.

Thilo Sentker, Frederic Madesta, René Werner

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Combining Good Old Random Forest and DeepLabv3+ for ISLES 2018 CT-Based Stroke Segmentation.

Lasse Böhme, Frederic Madesta, Thilo Sentker, René Werner

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2018