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16 Einträge gefunden

Self-Supervision for Medical Image Classification:State-of-the-Art Performance with ~100 Labeled Training Samples per Class
2023 - 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
Deep Learning-Based Automated Thrombolysis in Cerebral Infarction Scoring: A Timely Proof-of-Principle Study
2021 - Forschungsinformationssystem des UKE
4D CT image artifacts affect local control in SBRT of lung and liver metastases
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
Time Matters: Handling Spatio-Temporal Perfusion Information for Automated TICI Scoring
2020 - Forschungsinformationssystem des UKE
Skin Lesion Classification Using CNNs with Patch-Based Attention and Diagnosis-Guided Loss Weighting
2020 - Forschungsinformationssystem des UKE
Skin Lesion Classification Using CNNs with Patch-Based Attention and Diagnosis-Guided Loss Weighting
2020 - TUHH Open Research
Self-contained deep learning-based boosting of 4D cone-beam CT reconstruction
2020 - Forschungsinformationssystem des UKE
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
Feasibility and uncertainties of 4D dose simulation for post-treatment quality assurance in radiotherapy of moving targets, Machbarkeit und Unsicherheiten der 4D-Dosissimulation zur retrospektiven Qualitätssicherung in der Strahlentherapie bewegter Ziele
1. Sentker, Thilo
2019 - E-Dissertationen der UHH - frei zugänglich
Patient-specific 4D Monte Carlo dose accumulation using correspondence-model-based motion prediction
2019 - Forschungsinformationssystem des UKE
Self-consistent deep learning-based boosting of 4D cone-beam computed tomography reconstruction
2019 - Forschungsinformationssystem des UKE
GDL-FIRE4D: Deep Learning-based fast 4D CT image registration
2018 - Forschungsinformationssystem des UKE
Skin lesion diagnosis using ensembles, unscaled multi-crop evaluation and loss weighting
2018 - TUHH Open Research

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Self-Supervision for Medical Image Classification:State-of-the-Art Performance with ~100 Labeled Training Samples per Class

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

Deep Learning-Based Automated Thrombolysis in Cerebral Infarction Scoring: A Timely Proof-of-Principle Study

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

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

Time Matters: Handling Spatio-Temporal Perfusion Information for Automated TICI Scoring

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

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

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

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

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

Feasibility and uncertainties of 4D dose simulation for post-treatment quality assurance in radiotherapy of moving targets, Machbarkeit und Unsicherheiten der 4D-Dosissimulation zur retrospektiven Qualitätssicherung in der Strahlentherapie bewegter Ziele

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

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

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

Skin lesion diagnosis using ensembles, unscaled multi-crop evaluation and loss weighting