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- Madesta, Frederic
- Sentker, Thilo 12
- Werner, Rene 10
- Gauer, Tobias 8
- Werner, René 8
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18 Einträge gefunden
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Reinforcement learning-basierte Patchpriorisierung zur beschleunigten Segmentierung von hochauflösenden Endoskopievideodaten
2022 - Forschungsinformationssystem des UKE - frei zugänglich -
Evaluation of magnetic resonance imaging-based radiomics characteristics for differentiation of benign and malignant peripheral nerve sheath tumors in neurofibromatosis type 1
- Ristow, Inka
- Madesta, Frederic
- Well, Lennart
- Shenas, Farzad Y
- Wright, Felicia
- Molwitz, Isabel
- Farschtschi, Said
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Multi-scale fully convolutional neural networks for histopathology image segmentation: From nuclear aberrations to the global tissue architecture
- Schmitz, Rüdiger
- Madesta, Frederic
- Nielsen, Maximilian
- Krause, Jenny
- Steurer, Stefan
- Werner, René
- Rösch, Thomas
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Skin Lesion Classification Using CNNs with Patch-Based Attention and Diagnosis-Guided Loss Weighting
- Gessert, Nils
- Sentker, Thilo
- Madesta, Frederic
- Schmitz, Rudiger
- Kniep, Helge
- Baltruschat, Ivo
- Werner, Rene
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Widening the Focus: Biomedical Image Segmentation Challenges and the Underestimated Role of Patch Sampling and Inference Strategies
2020 - Forschungsinformationssystem des UKE -
Self-contained deep learning-based boosting of 4D cone-beam CT reconstruction
2020 - Forschungsinformationssystem des UKE -
Intelligent 4D CT sequence scanning (i4DCT): First scanner prototype implementation and phantom measurements of automated breathing signal-guided 4D CT
- Werner, René
- Sentker, Thilo
- Madesta, Frederic
- Schwarz, Annette
- Vornehm, Marc
- Gauer, Tobias
- Hofmann, Christian
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4D CT image artifacts affect local control in SBRT of lung and liver metastases
- Sentker, Thilo
- Schmidt, Vladimir
- Ozga, Ann-Kathrin
- Petersen, Cordula
- Madesta, Frederic
- Hofmann, Christian
- Werner, René
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Self-consistent deep learning-based boosting of 4D cone-beam computed tomography reconstruction
2019 - Forschungsinformationssystem des UKE -
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Radiomics of Brain MRI: Utility in Prediction of Metastatic Tumor Type
- Kniep, Helge C
- Madesta, Frederic
- Schneider, Tanja
- Hanning, Uta
- Schönfeld, Michael H
- Schön, Gerhard
- Fiehler, Jens
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Combining Good Old Random Forest and DeepLabv3+ for ISLES 2018 CT-Based Stroke Segmentation
2019 - Forschungsinformationssystem des UKE -
Intelligent 4D CT sequence scanning (i4DCT): Concept and performance evaluation
2019 - Forschungsinformationssystem des UKE -
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Technical considerations for automated low-pitch spiral 4D CT scanning protocol selection
2018 - Forschungsinformationssystem des UKE