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Deep learning for segmentation of 49 selected bones in CT scans: First step in automated PET/CT-based 3D quantification of skeletal metastases

European journal of radiology, 2019-04, Vol.113, p.89-95

2019

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Artificial intelligence could alert for focal skeleton/bone marrow uptake in Hodgkin’s lymphoma patients staged with FDG-PET/CT

Scientific reports, 2021-05, Vol.11 (1), p.10382-10382, Article 10382

2021

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Deep learning‐based quantification of PET/CT prostate gland uptake: association with overall survival

Clinical physiology and functional imaging, 2020-03, Vol.40 (2), p.106-113

2020

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Automated quantification of reference levels in liver and mediastinal blood pool for the Deauville therapy response classification using FDG‐PET/CT in Hodgkin and non‐Hodgkin lymphomas

Clinical physiology and functional imaging, 2019-01, Vol.39 (1), p.78-84

2019

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Metabolic tumour volume in Hodgkin lymphoma—A comparison between manual and AI‐based analysis

Clinical physiology and functional imaging, 2024-05, Vol.44 (3), p.220-227

2024

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Computer-Assisted Interpretation of Planar Whole-Body Bone Scans

Journal of Nuclear Medicine, 2008-12, Vol.49 (12), p.1958-1965

2008

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Evaluation of changes in Bone Scan Index at different acquisition time‐points in bone scintigraphy

Clinical physiology and functional imaging, 2018-11, Vol.38 (6), p.1015-1020

2018

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Artificial Intelligence Increases the Agreement among Physicians Classifying Focal Skeleton/Bone Marrow Uptake in Hodgkin’s Lymphoma Patients Staged with [18F]FDG PET/CT—a Retrospective Study

Nuclear medicine and molecular imaging, 2023-04, Vol.57 (2), p.110-116

2023

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Automated Pulmonary Nodule Classification in Computed Tomography Images Using a Deep Convolutional Neural Network Trained by Generative Adversarial Networks

BioMed research international, 2019-01, Vol.2019 (2019), p.1-9

2019

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Quality of planar whole-body bone scan interpretations—a nationwide survey

European Journal of Nuclear Medicine, 2008-08, Vol.35 (8), p.1464-1472

2008

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Improved Classifications of Planar Whole-Body Bone Scans Using a Computer-Assisted Diagnosis System: A Multicenter, Multiple-Reader, Multiple-Case Study

Journal of Nuclear Medicine, 2009-03, Vol.50 (3), p.368-375

2009

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Correction to: 3D skeletal uptake of 18F sodium fluoride in PET/CT images is associated with overall survival in patients with prostate cancer

EJNMMI research, 2019-05, Vol.9 (1), p.1-1, Article 44

2019

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A prospective study to evaluate the intra-individual reproducibility of bone scans for quantitative assessment in patients with metastatic prostate cancer

BMC medical imaging, 2018-05, Vol.18 (1), p.8-8, Article 8

2018

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Factors Associated with Occupational Injury among Hydropower Dam Construction Workers, South East Ethiopia, 2018

BioMed research international, 2020, Vol.2020 (2020), p.1-9

2020

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3D skeletal uptake of 18F sodium fluoride in PET/CT images is associated with overall survival in patients with prostate cancer

EJNMMI research, 2017-02, Vol.7 (1), p.1-8, Article 15

2017

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Alpha Males and Alpha Females: Male executives from around the world on how to increase gender diversity in senior management

Al-Sadik-Lowinski, Bettina

1st edition, 2023

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Reliability and Validity of the Migraine Disability Assessment Scale among Migraine and Tension Type Headache in Iranian Patients

BioMed research international, 2014-01, Vol.2014 (2014), p.1-7

2014

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A new computer-based decision-support system for the interpretation of bone scans

Nuclear medicine communications, 2006-05, Vol.27 (5), p.417-423

2006

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The Association between Charlson Comorbidity Index and the Medical Care Cost of Cancer: A Retrospective Study

BioMed research international, 2015-01, Vol.2015 (2015), p.1-6

2015

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Combination of Salivary Gland Ultrasonography and Virtual Touch Quantification for Diagnosis of Sjögren’s Syndrome: A Preliminary Study

BioMed research international, 2016-01, Vol.2016 (2016), p.1-6

2016

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Hybrid Technique to Improve the River Water Level Forecasting Using Artificial Neural Network-Based Marine Predators Algorithm

Advances in Civil Engineering, 2022, Vol.2022 (1)

2022

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Cement Slurry Plugging Law and Optimal Plugging Flow Rate at a High Hydraulic Gradient

Advances in Civil Engineering, 2021, Vol.2021 (1)

2021

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Frontiers and Best Practices in Bio, Circular, and Green Growth and Eco-Innovation

2023

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Analytic Validation of the Automated Bone Scan Index as an Imaging Biomarker to Standardize Quantitative Changes in Bone Scans of Patients with Metastatic Prostate Cancer

Journal of Nuclear Medicine, 2016-01, Vol.57 (1), p.41-45

2016

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The release of engineered nanomaterials to the environment

Journal of environmental monitoring, 2011-05, Vol.13 (5), p.1145-1155

2011

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Deep learning for segmentation of 49 selected bones in CT scans: First step in automated PET/CT-based 3D quantification of skeletal metastases

Artificial intelligence could alert for focal skeleton/bone marrow uptake in Hodgkin’s lymphoma patients staged with FDG-PET/CT

Deep learning‐based quantification of PET/CT prostate gland uptake: association with overall survival

Automated quantification of reference levels in liver and mediastinal blood pool for the Deauville therapy response classification using FDG‐PET/CT in Hodgkin and non‐Hodgkin lymphomas

Metabolic tumour volume in Hodgkin lymphoma—A comparison between manual and AI‐based analysis

Computer-Assisted Interpretation of Planar Whole-Body Bone Scans

Evaluation of changes in Bone Scan Index at different acquisition time‐points in bone scintigraphy

Artificial Intelligence Increases the Agreement among Physicians Classifying Focal Skeleton/Bone Marrow Uptake in Hodgkin’s Lymphoma Patients Staged with [18F]FDG PET/CT—a Retrospective Study

Automated Pulmonary Nodule Classification in Computed Tomography Images Using a Deep Convolutional Neural Network Trained by Generative Adversarial Networks

Quality of planar whole-body bone scan interpretations—a nationwide survey

Improved Classifications of Planar Whole-Body Bone Scans Using a Computer-Assisted Diagnosis System: A Multicenter, Multiple-Reader, Multiple-Case Study

Correction to: 3D skeletal uptake of 18F sodium fluoride in PET/CT images is associated with overall survival in patients with prostate cancer

A prospective study to evaluate the intra-individual reproducibility of bone scans for quantitative assessment in patients with metastatic prostate cancer

Factors Associated with Occupational Injury among Hydropower Dam Construction Workers, South East Ethiopia, 2018

3D skeletal uptake of 18F sodium fluoride in PET/CT images is associated with overall survival in patients with prostate cancer

Alpha Males and Alpha Females: Male executives from around the world on how to increase gender diversity in senior management

Reliability and Validity of the Migraine Disability Assessment Scale among Migraine and Tension Type Headache in Iranian Patients

A new computer-based decision-support system for the interpretation of bone scans

The Association between Charlson Comorbidity Index and the Medical Care Cost of Cancer: A Retrospective Study

Combination of Salivary Gland Ultrasonography and Virtual Touch Quantification for Diagnosis of Sjögren’s Syndrome: A Preliminary Study

Hybrid Technique to Improve the River Water Level Forecasting Using Artificial Neural Network-Based Marine Predators Algorithm

Cement Slurry Plugging Law and Optimal Plugging Flow Rate at a High Hydraulic Gradient

Frontiers and Best Practices in Bio, Circular, and Green Growth and Eco-Innovation

Analytic Validation of the Automated Bone Scan Index as an Imaging Biomarker to Standardize Quantitative Changes in Bone Scans of Patients with Metastatic Prostate Cancer

The release of engineered nanomaterials to the environment

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