Suchergebnis | Hamburg Open Science

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44 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
P2X4 and P2X7 are essential players in basal T cell activity and Ca2+ signaling milliseconds after T cell activation
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
Time-Dependent Image Restoration of Low-SNR Live-Cell Ca2 Fluorescence Microscopy Data
2021 - Forschungsinformationssystem der UHH - frei zugänglich
Time-Dependent Image Restoration of Low-SNR Live-Cell Ca2+ Fluorescence Microscopy Data
2021 - Forschungsinformationssystem des UKE - frei zugänglich
First clinical evaluation of breathing controlled four-dimensional computed tomography imaging
2021 - 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
Spatio-temporal feature learning with reservoir computing for T-cell segmentation in live-cell Ca2+ fluorescence microscopy
2021 - Forschungsinformationssystem des UKE - frei zugänglich
Combining Direct 3D Volume Rendering and Magnetic Particle Imaging to Advance Radiation-Free Real-Time 3D Guidance of Vascular Interventions
2020 - Forschungsinformationssystem des UKE
Digital Health meets Hamburg integrated medical degree program iMED:Concept and introduction of the new interdisciplinary 2nd track Digital Health
2020 - Forschungsinformationssystem des UKE
4D CT image artifacts affect local control in SBRT of lung and liver metastases
2020 - Forschungsinformationssystem des UKE
Combining Direct 3D Volume Rendering and Magnetic Particle Imaging to Advance Radiation-Free Real-Time 3D Guidance of Vascular Interventions
2020 - TUHH Open Research
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 - TUHH Open Research
Skin lesion classification using ensembles of multi-resolution EfficientNets with meta data
2020 - TUHH Open Research - frei zugänglich
3d-SMRnet: Achieving a New Quality of MPI System Matrix Recovery by Deep Learning
2020 - TUHH Open Research
Self-contained deep learning-based boosting of 4D cone-beam CT reconstruction
2020 - Forschungsinformationssystem des UKE
Toward employing the full potential of magnetic particle imaging: Exploring visualization techniques and clinical use cases for real-time 3D vascular imaging
2019 - TUHH Open Research
Radiomics of Brain MRI: Utility in Prediction of Metastatic Tumor Type
2019 - Forschungsinformationssystem des UKE
Künstliche Intelligenz in der Endoskopie: Neuronale Netze und maschinelles Sehen – Techniken und Perspektiven
2019 - Forschungsinformationssystem des UKE

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

P2X4 and P2X7 are essential players in basal T cell activity and Ca2+ signaling milliseconds after T cell activation

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

Time-Dependent Image Restoration of Low-SNR Live-Cell Ca2 Fluorescence Microscopy Data

Time-Dependent Image Restoration of Low-SNR Live-Cell Ca2+ Fluorescence Microscopy Data

First clinical evaluation of breathing controlled four-dimensional computed tomography imaging

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

Spatio-temporal feature learning with reservoir computing for T-cell segmentation in live-cell Ca2+ fluorescence microscopy

Combining Direct 3D Volume Rendering and Magnetic Particle Imaging to Advance Radiation-Free Real-Time 3D Guidance of Vascular Interventions

Digital Health meets Hamburg integrated medical degree program iMED:Concept and introduction of the new interdisciplinary 2nd track Digital Health

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

Combining Direct 3D Volume Rendering and Magnetic Particle Imaging to Advance Radiation-Free Real-Time 3D Guidance of Vascular Interventions

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

Skin lesion classification using ensembles of multi-resolution EfficientNets with meta data

3d-SMRnet: Achieving a New Quality of MPI System Matrix Recovery by Deep Learning

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

Toward employing the full potential of magnetic particle imaging: Exploring visualization techniques and clinical use cases for real-time 3D vascular imaging

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

Künstliche Intelligenz in der Endoskopie: Neuronale Netze und maschinelles Sehen – Techniken und Perspektiven