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Denoising of Scintillation Camera Images Using a Deep Convolutional Neural Network: A Monte Carlo Simulation Approach

Journal of Nuclear Medicine, 2020-02, Vol.61 (2), p.298-303

2020

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RECOMIA—a cloud-based platform for artificial intelligence research in nuclear medicine and radiology

EJNMMI physics, 2020-08, Vol.7 (1), p.51-51, Article 51

2020

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Artificial intelligence based automatic quantification of epicardial adipose tissue suitable for large scale population studies

Scientific reports, 2021-12, Vol.11 (1), p.23905-23905, Article 23905

2021

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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 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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AI-based detection of lung lesions in [18F]FDG PET-CT from lung cancer patients

EJNMMI physics, 2021-03, Vol.8 (1), p.32-32, Article 32

2021

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“Global” cardiac atherosclerotic burden assessed by artificial intelligence-based versus manual segmentation in 18F-sodium fluoride PET/CT scans: Head-to-head comparison

Journal of nuclear cardiology, 2022-10, Vol.29 (5), p.2531-2539

2022

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Convolutional neural network-based automatic heart segmentation and quantitation in 123I-metaiodobenzylguanidine SPECT imaging

EJNMMI research, 2021-10, Vol.11 (1), p.105-105, Article 105

2021

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Aortic wall segmentation in 18F-sodium fluoride PET/CT scans: Head-to-head comparison of artificial intelligence-based versus manual segmentation

Journal of nuclear cardiology, 2022-08, Vol.29 (4), p.2001-2010

2022

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Automated artificial intelligence-based analysis of skeletal muscle volume predicts overall survival after cystectomy for urinary bladder cancer

European radiology experimental, 2021-11, Vol.5 (1), p.50-50, Article 50

2021

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Freely available convolutional neural network-based quantification of PET/CT lesions is associated with survival in patients with lung cancer

EJNMMI physics, 2022-02, Vol.9 (1), p.6-6, Article 6

2022

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Accurate Localization and Pose Estimation for Large 3D Models

2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014, p.532-539

2014

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Action sequencing in the spontaneous swimming behavior of zebrafish larvae - implications for drug development

Scientific reports, 2017-06, Vol.7 (1), p.3191-13, Article 3191

2017

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AI-based fully automatic image analysis: Optimal abdominal and thoracic segmentation volumes for estimating total muscle volume on computed tomography scans

Osteoporosis and Sarcopenia, 2024-06, Vol.10 (2), p.78-83

2024

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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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Freely Available, Fully Automated AI-Based Analysis of Primary Tumour and Metastases of Prostate Cancer in Whole-Body [18F]-PSMA-1007 PET-CT

Diagnostics (Basel), 2022-08, Vol.12 (9), p.2101

2022

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AI-based quantification of whole-body tumour burden on somatostatin receptor PET/CT

European journal of hybrid imaging, 2023-08, Vol.7 (1), p.14-14, Article 14

2023

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Auto-segmentations by convolutional neural network in cervical and anorectal cancer with clinical structure sets as the ground truth

Clinical and translational radiation oncology, 2020-11, Vol.25, p.37-45

2020

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Artificial Intelligence-Based Organ Delineation for Radiation Treatment Planning of Prostate Cancer on Computed Tomography

Advances in radiation oncology, 2024-03, Vol.9 (3), p.101383-101383, Article 101383

2024

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City-Scale Localization for Cameras with Known Vertical Direction

IEEE transactions on pattern analysis and machine intelligence, 2017-07, Vol.39 (7), p.1455-1461

2017

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A system for automated tracking of motor components in neurophysiological research

Journal of neuroscience methods, 2012-04, Vol.205 (2), p.334-344

2012

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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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Artificial intelligence for the detection of primary tumour, recurrence and metastases in PSMA PET-CT in prostate cancer

European journal of nuclear medicine and molecular imaging, 2022, Vol.49 (Suppl 1), p.S270

2022

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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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A brute-force algorithm for reconstructing a scene from two projections

CVPR 2011, 2011, p.2961-2968

2011

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Denoising of Scintillation Camera Images Using a Deep Convolutional Neural Network: A Monte Carlo Simulation Approach

RECOMIA—a cloud-based platform for artificial intelligence research in nuclear medicine and radiology

Artificial intelligence based automatic quantification of epicardial adipose tissue suitable for large scale population studies

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

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

AI-based detection of lung lesions in [18F]FDG PET-CT from lung cancer patients

“Global” cardiac atherosclerotic burden assessed by artificial intelligence-based versus manual segmentation in 18F-sodium fluoride PET/CT scans: Head-to-head comparison

Convolutional neural network-based automatic heart segmentation and quantitation in 123I-metaiodobenzylguanidine SPECT imaging

Aortic wall segmentation in 18F-sodium fluoride PET/CT scans: Head-to-head comparison of artificial intelligence-based versus manual segmentation

Automated artificial intelligence-based analysis of skeletal muscle volume predicts overall survival after cystectomy for urinary bladder cancer

Freely available convolutional neural network-based quantification of PET/CT lesions is associated with survival in patients with lung cancer

Accurate Localization and Pose Estimation for Large 3D Models

Action sequencing in the spontaneous swimming behavior of zebrafish larvae - implications for drug development

AI-based fully automatic image analysis: Optimal abdominal and thoracic segmentation volumes for estimating total muscle volume on computed tomography scans

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

Freely Available, Fully Automated AI-Based Analysis of Primary Tumour and Metastases of Prostate Cancer in Whole-Body [18F]-PSMA-1007 PET-CT

AI-based quantification of whole-body tumour burden on somatostatin receptor PET/CT

Auto-segmentations by convolutional neural network in cervical and anorectal cancer with clinical structure sets as the ground truth

Artificial Intelligence-Based Organ Delineation for Radiation Treatment Planning of Prostate Cancer on Computed Tomography

City-Scale Localization for Cameras with Known Vertical Direction

A system for automated tracking of motor components in neurophysiological research

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

Artificial intelligence for the detection of primary tumour, recurrence and metastases in PSMA PET-CT in prostate cancer

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

A brute-force algorithm for reconstructing a scene from two projections

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