F. Madesta

发表

Evaluation of magnetic resonance imaging-based radiomics characteristics for differentiation of benign and malignant peripheral nerve sheath tumors in neurofibromatosis type 1

R. Werner, V. Mautner, S. Farschtschi, 2022, Neuro-oncology.

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

Nils Gessert, Alexander Schlaefer, Rüdiger Schmitz, 2019, IEEE Transactions on Biomedical Engineering.

Radiomics of Brain MRI: Utility in Prediction of Metastatic Tumor Type.

Tobias Gauer, René Werner, Frederic Madesta, 2019, Radiology.

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

Thomas Rösch, Rüdiger Schmitz, René Werner, 2019, Medical Image Anal..

4D CT image artifacts affect local control in SBRT of lung and liver metastases.

R. Werner, T. Gauer, C. Petersen, 2020, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

Self-contained deep learning-based boosting of 4D cone-beam CT reconstruction.

Tobias Gauer, René Werner, Thilo Sentker, 2020, Medical physics.

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

Tobias Gauer, René Werner, Thilo Sentker, 2019, Medical Imaging: Image Processing.

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

René Werner, Rüdiger Schmitz, Thomas Rösch, 2020, MICCAI.

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

Nils Gessert, Alexander Schlaefer, Rüdiger Schmitz, 2018, ArXiv.

Discordant and Converting Receptor Expressions in Brain Metastases from Breast Cancer: MRI-Based Non-Invasive Receptor Status Tracking

R. Werner, T. Gauer, J. Fiehler, 2023, Cancers.

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

R. Werner, T. Gauer, F. Madesta, 2022, Medical physics.

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

René Werner, Thilo Sentker, Frederic Madesta, 2019, Medical Imaging.

Comparison of intelligent 4D CT sequence scanning and conventional spiral 4D CT: a first comprehensive phantom study

Tobias Gauer, Thilo Sentker, Christian Hofmann, 2020, Physics in medicine and biology.

Intelligent 4D CT sequence scanning (i4DCT): Concept and performance evaluation.

Tobias Gauer, René Werner, Thilo Sentker, 2019, Medical physics.

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

Ivo M. Baltruschat, R. Werner, A. Schlaefer, 2019, IEEE Transactions on Biomedical Engineering.

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

René Werner, Thilo Sentker, Frederic Madesta, 2018, BrainLes@MICCAI.

A joint ESTRO and AAPM guideline for development, clinical validation and reporting of artificial intelligence models in radiation therapy.

J. Bibault, C. Hurkmans, B. Jereczek-Fossa, 2024, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

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

René Werner, Rüdiger Schmitz, Frederic Madesta, 2019, Medical Image Anal..

Intelligent 4D CT sequence scanning (i4DCT): First scanner prototype implementation and phantom measurements of automated breathing signal-guided 4D CT.

R. Werner, T. Gauer, Frederic Madesta, 2020, Medical physics.

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

René Werner, Thilo Sentker, Frederic Madesta, 2018, MICCAI.