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16 Einträge gefunden

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
2022 - Forschungsinformationssystem des UKE - frei zugänglich
Multi-scale fully convolutional neural networks for histopathology image segmentation: From nuclear aberrations to the global tissue architecture
2021 - Forschungsinformationssystem des UKE - frei zugänglich
Comparison of intelligent 4D CT sequence scanning and conventional spiral 4D CT: a first comprehensive phantom study
2021 - Forschungsinformationssystem des UKE
Widening the Focus: Biomedical Image Segmentation Challenges and the Underestimated Role of Patch Sampling and Inference Strategies
2020 - Forschungsinformationssystem des UKE
4D CT image artifacts affect local control in SBRT of lung and liver metastases
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
2020 - Forschungsinformationssystem des UKE
Skin Lesion Classification Using CNNs with Patch-Based Attention and Diagnosis-Guided Loss Weighting
2020 - Forschungsinformationssystem des UKE
Self-consistent deep learning-based boosting of 4D cone-beam computed tomography reconstruction
2019 - Forschungsinformationssystem des UKE
Combining Good Old Random Forest and DeepLabv3+ for ISLES 2018 CT-Based Stroke Segmentation
2019 - Forschungsinformationssystem des UKE
Patient-specific 4D Monte Carlo dose accumulation using correspondence-model-based motion prediction
2019 - Forschungsinformationssystem des UKE
Intelligent 4D CT sequence scanning (i4DCT): Concept and performance evaluation
2019 - Forschungsinformationssystem des UKE
Radiomics of Brain MRI: Utility in Prediction of Metastatic Tumor Type
2019 - Forschungsinformationssystem des UKE
Technical considerations for automated low-pitch spiral 4D CT scanning protocol selection
2018 - Forschungsinformationssystem des UKE
GDL-FIRE4D: Deep Learning-based fast 4D CT image registration
2018 - Forschungsinformationssystem des UKE

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Reinforcement learning-basierte Patchpriorisierung zur beschleunigten Segmentierung von hochauflösenden Endoskopievideodaten

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

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

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

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

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

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

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

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

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

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

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

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

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

Technical considerations for automated low-pitch spiral 4D CT scanning protocol selection

GDL-FIRE4D: Deep Learning-based fast 4D CT image registration