UB Paderborn / Katalog / Suche / in CDI

1 – 25 von 56

Sortiert nach

Ultra-low-dose chest CT imaging of COVID-19 patients using a deep residual neural network

European radiology, 2021-03, Vol.31 (3), p.1420-1431

2021

Volltextzugriff (PDF)

Effect of proton pump inhibitors and H2 antagonists on gastric wall uptake in myocardial perfusion scan with 99mTc-sestamibi

Journal of nuclear cardiology, 2022-08, Vol.29 (4), p.1552-1561

2022

Volltextzugriff (PDF)

High-dimensional multinomial multiclass severity scoring of COVID-19 pneumonia using CT radiomics features and machine learning algorithms

Scientific reports, 2022-09, Vol.12 (1), p.14817-14817, Article 14817

2022

Volltextzugriff (PDF)

Development and validation of survival prognostic models for head and neck cancer patients using machine learning and dosiomics and CT radiomics features: a multicentric study

Radiation oncology (London, England), 2024-01, Vol.19 (1), p.12-12, Article 12

2024

Volltextzugriff (PDF)

Deep learning-based fully automated Z-axis coverage range definition from scout scans to eliminate overscanning in chest CT imaging

Insights into imaging, 2021-11, Vol.12 (1), p.162-16, Article 162

2021

Volltextzugriff (PDF)

Machine learning-based diagnosis and risk classification of coronary artery disease using myocardial perfusion imaging SPECT: A radiomics study

Scientific reports, 2023-09, Vol.13 (1), p.14920-14920, Article 14920

2023

Volltextzugriff (PDF)

An update on computational anthropomorphic anatomical models

DIGITAL HEALTH, 2022, Vol.8, p.205520762211119-20552076221111941

2022

Volltextzugriff (PDF)

Artificial intelligence-based joint attenuation and scatter correction strategies for multi-tracer total-body PET

EJNMMI physics, 2024-07, Vol.11 (1), p.66-24, Article 66

2024

Volltextzugriff (PDF)

Artificial intelligence-based analysis of whole-body bone scintigraphy: The quest for the optimal deep learning algorithm and comparison with human observer performance

Zeitschrift für medizinische Physik, 2024-05, Vol.34 (2), p.242-257

2024

Volltextzugriff (PDF)

Predictive value of 99mTc-MAA-based dosimetry in personalized 90Y-SIRT planning for liver malignancies

EJNMMI research, 2023-07, Vol.13 (1), p.63-63, Article 63

2023

Volltextzugriff (PDF)

Introducing fitting models for estimating age‐specific dose and effective dose in paediatric patients undergoing head, chest and abdomen–pelvis imaging protocols: a patient study

Journal of medical radiation sciences, 2024-06, Vol.71 (2), p.251-260

2024

Volltextzugriff (PDF)

Body-Mass Index-Based Effective Dose Determination in Commonly Performed Computed Tomography Examinations in Adults

Frontiers in biomedical technologies, 2022-09, Vol.9 (4)

2022

Volltextzugriff (PDF)

Real-time, acquisition parameter-free voxel-wise patient-specific Monte Carlo dose reconstruction in whole-body CT scanning using deep neural networks

European radiology, 2023-12, Vol.33 (12), p.9411-9424

2023

Volltextzugriff (PDF)

Deep‐TOF‐PET: Deep learning‐guided generation of time‐of‐flight from non‐TOF brain PET images in the image and projection domains

Human brain mapping, 2022-11, Vol.43 (16), p.5032-5043

2022

Volltextzugriff (PDF)

An efficient dual-domain deep learning network for sparse-view CT reconstruction

Computer methods and programs in biomedicine, 2024-11, Vol.256, p.108376, Article 108376

2024

Volltextzugriff (PDF)

Personalized brachytherapy dose reconstruction using deep learning

Computers in biology and medicine, 2021-09, Vol.136, p.104755-104755, Article 104755

2021

Volltextzugriff (PDF)

Fully automated explainable abdominal CT contrast media phase classification using organ segmentation and machine learning

Medical physics (Lancaster), 2024-06, Vol.51 (6), p.4095-4104

2024

Volltextzugriff (PDF)

Patient effective dose and radiation biological risk in the chest and abdominopelvic computed tomography

Applied radiation and isotopes, 2023-03, Vol.193, p.110628-110628, Article 110628

2023

Volltextzugriff (PDF)

Fully automated accurate patient positioning in computed tomography using anterior–posterior localizer images and a deep neural network: a dual-center study

European radiology, 2023-05, Vol.33 (5), p.3243-3252

2023

Volltextzugriff (PDF)

Machine learning-based prognostic modeling using clinical data and quantitative radiomic features from chest CT images in COVID-19 patients

Computers in biology and medicine, 2021-05, Vol.132, p.104304-104304, Article 104304

2021

Volltextzugriff (PDF)

Decentralized collaborative multi-institutional PET attenuation and scatter correction using federated deep learning

European journal of nuclear medicine and molecular imaging, 2023-03, Vol.50 (4), p.1034-1050

2023

Volltextzugriff (PDF)

PRIMIS: Privacy-preserving medical image sharing via deep sparsifying transform learning with obfuscation

Journal of biomedical informatics, 2024-02, Vol.150, p.104583-104583, Article 104583

2024

Volltextzugriff (PDF)

Deep transformer-based personalized dosimetry from SPECT/CT images: a hybrid approach for [177Lu]Lu-DOTATATE radiopharmaceutical therapy

European journal of nuclear medicine and molecular imaging, 2024-05, Vol.51 (6), p.1516-1529

2024

Volltextzugriff (PDF)

A cycle-consistent adversarial network for brain PET partial volume correction without prior anatomical information

European journal of nuclear medicine and molecular imaging, 2023-06, Vol.50 (7), p.1881-1896

2023

Volltextzugriff (PDF)

The role of biomarkers and dosimetry parameters in overall and progression free survival prediction for patients treated with personalized 90Y glass microspheres SIRT: a preliminary machine learning study

European journal of nuclear medicine and molecular imaging, 2024-07

2024

Volltextzugriff (PDF)

1 – 25 von 56

Suche als RSS-Feed

Suchergebnisse filtern

Filter anzeigen

Nur zeigen

Geprüft (Peer-Review)
(48)
Mit Volltextzugriff
(48)

Publikationsform

Sprache

Englisch
(56)

Erscheinungsjahr

n.n

Thema

Science & Technology
(40)
Life Sciences & Biomedicine
(34)
Deep Learning
(23)
Radiology, Nuclear Medicine & Medical Imaging
(23)
Medical Imaging
(22)
Computed Tomography
(21)
Machine Learning
(18)
Humans
(16)
Algorithms
(14)
Medicine
(12)
Radiology
(12)
Imaging
(11)
Medicine & Public Health
(11)
Artificial Neural Networks
(10)
Radiomics
(10)
Technology
(10)
Image Processing, Computer-Assisted - Methods
(9)
Neural Networks
(9)
Patients
(9)
Radiation
(9)

15 weitere anzeigen...

Weniger anzeigen...

Neu hinzugefügt

Menü

Weitere Dienste

Einstellungen

Ultra-low-dose chest CT imaging of COVID-19 patients using a deep residual neural network

Effect of proton pump inhibitors and H2 antagonists on gastric wall uptake in myocardial perfusion scan with 99mTc-sestamibi

High-dimensional multinomial multiclass severity scoring of COVID-19 pneumonia using CT radiomics features and machine learning algorithms

Development and validation of survival prognostic models for head and neck cancer patients using machine learning and dosiomics and CT radiomics features: a multicentric study

Deep learning-based fully automated Z-axis coverage range definition from scout scans to eliminate overscanning in chest CT imaging

Machine learning-based diagnosis and risk classification of coronary artery disease using myocardial perfusion imaging SPECT: A radiomics study

An update on computational anthropomorphic anatomical models

Artificial intelligence-based joint attenuation and scatter correction strategies for multi-tracer total-body PET

Artificial intelligence-based analysis of whole-body bone scintigraphy: The quest for the optimal deep learning algorithm and comparison with human observer performance

Predictive value of 99mTc-MAA-based dosimetry in personalized 90Y-SIRT planning for liver malignancies

Introducing fitting models for estimating age‐specific dose and effective dose in paediatric patients undergoing head, chest and abdomen–pelvis imaging protocols: a patient study

Body-Mass Index-Based Effective Dose Determination in Commonly Performed Computed Tomography Examinations in Adults

Real-time, acquisition parameter-free voxel-wise patient-specific Monte Carlo dose reconstruction in whole-body CT scanning using deep neural networks

Deep‐TOF‐PET: Deep learning‐guided generation of time‐of‐flight from non‐TOF brain PET images in the image and projection domains

An efficient dual-domain deep learning network for sparse-view CT reconstruction

Personalized brachytherapy dose reconstruction using deep learning

Fully automated explainable abdominal CT contrast media phase classification using organ segmentation and machine learning

Patient effective dose and radiation biological risk in the chest and abdominopelvic computed tomography

Fully automated accurate patient positioning in computed tomography using anterior–posterior localizer images and a deep neural network: a dual-center study

Machine learning-based prognostic modeling using clinical data and quantitative radiomic features from chest CT images in COVID-19 patients

Decentralized collaborative multi-institutional PET attenuation and scatter correction using federated deep learning

PRIMIS: Privacy-preserving medical image sharing via deep sparsifying transform learning with obfuscation

Deep transformer-based personalized dosimetry from SPECT/CT images: a hybrid approach for [177Lu]Lu-DOTATATE radiopharmaceutical therapy

A cycle-consistent adversarial network for brain PET partial volume correction without prior anatomical information

The role of biomarkers and dosimetry parameters in overall and progression free survival prediction for patients treated with personalized 90Y glass microspheres SIRT: a preliminary machine learning study

Suchergebnisse filtern