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- 2024
-
Mark
Improving sensitivity through data augmentation with synthetic lymph node metastases for AI-based analysis of PSMA PET-CT images
2024) In Clinical Physiology and Functional Imaging(
- Contribution to journal › Article
-
Mark
A novel model of artificial intelligence based automated image analysis of CT urography to identify bladder cancer in patients investigated for macroscopic hematuria
(
- Contribution to journal › Article
-
Mark
Artificial Intelligence-Based Organ Delineation for Radiation Treatment Planning of Prostate Cancer on Computed Tomography
(
- Contribution to journal › Article
-
Mark
Metabolic tumour volume in Hodgkin lymphoma—A comparison between manual and AI-based analysis
(
- Contribution to journal › Article
- 2023
-
Mark
Applications of Artificial Intelligence in PSMA PET/CT for Prostate Cancer Imaging
2023) In Seminars in Nuclear Medicine(
- Contribution to journal › Article
-
Mark
Automated quantification of PET/CT skeletal tumor burden in prostate cancer using artificial intelligence : The PET index
(
- Contribution to journal › Article
- 2022
-
Mark
Deep learning takes the pain out of back breaking work - Automatic vertebral segmentation and attenuation measurement for osteoporosis
(
- Contribution to journal › Article
-
Mark
Freely available convolutional neural network-based quantification of PET/CT lesions is associated with survival in patients with lung cancer
(
- Contribution to journal › Article
-
Mark
Freely available artificial intelligence for pelvic lymph node metastases in PSMA PET-CT that performs on par with nuclear medicine physicians
(
- Contribution to journal › Article
-
Mark
Automated Bone Scan Index to Optimize Prostate Cancer Working Group Radiographic Progression Criteria for Men With Metastatic Castration-Resistant Prostate Cancer
(
- Contribution to journal › Article
-
Mark
Freely Available, Fully Automated AI-Based Analysis of Primary Tumour and Metastases of Prostate Cancer in Whole-Body [18F]-PSMA-1007 PET-CT
(
- Contribution to journal › Article
- 2021
-
Mark
Artificial intelligence-aided CT segmentation for body composition analysis : a validation study
(
- Contribution to journal › Article
-
Mark
AI-based detection of lung lesions in [18F]FDG PET-CT from lung cancer patients
(
- Contribution to journal › Article
-
Mark
Automated artificial intelligence-based analysis of skeletal muscle volume predicts overall survival after cystectomy for urinary bladder cancer
(
- Contribution to journal › Article
-
Mark
Artificial intelligence-based detection of lymph node metastases by PET/CT predicts prostate cancer-specific survival
(
- Contribution to journal › Article
-
Mark
Artificial intelligence-based measurements of PET/CT imaging biomarkers are associated with disease-specific survival of high-risk prostate cancer patients
(
- Contribution to journal › Article
-
Mark
Automated Bone Scan Index as an Imaging Biomarker to Predict Overall Survival in the Zometa European Study/SPCG11
(
- Contribution to journal › Article
- 2020
-
Mark
Deep learning-based evaluation of normal bone marrow activity in 18F-NaF PET/CT in patients with prostate cancer
(
- Contribution to journal › Published meeting abstract
-
Mark
RECOMIA—a cloud-based platform for artificial intelligence research in nuclear medicine and radiology
(
- Contribution to journal › Article
-
Mark
Assessing Radiographic Response to 223Ra with an Automated Bone Scan Index in Metastatic Castration-Resistant Prostate Cancer Patients
(
- Contribution to journal › Article
-
Mark
Deep learning-based quantification of PET/CT prostate gland uptake : association with overall survival
(
- Contribution to journal › Article
- 2019
-
Mark
The use of a proposed updated EARL harmonization of 18F-FDG PET-CT in patients with lymphoma yields significant differences in Deauville score compared with current EARL recommendations
(
- Contribution to journal › Article
-
Mark
Measurement of airway inflammation in current smokers by positron emission tomography
(
- Contribution to journal › Article
-
Mark
Deep learning for segmentation of 49 selected bones in CT scans : First step in automated PET/CT-based 3D quantification of skeletal metastases
(
- Contribution to journal › Article
-
Mark
Artificial intelligence-based versus manual assessment of prostate cancer in the prostate gland : a method comparison study
(
- Contribution to journal › Article
- 2018
-
Mark
Phase 3 assessment of the automated bone scan index as a prognostic imaging biomarker of overall survival in men with metastatic castration-resistant prostate cancer a secondary analysis of a randomized clinical trial
(
- Contribution to journal › Article
- 2017
-
Mark
Automated evaluation of normal uptake in different skeletal parts in 18F-sodium fluoride (NaF) PET/CT using a new convolutional neural network method
(
- Contribution to conference › Abstract
-
Mark
3D skeletal uptake of 18F sodium fluoride in PET/CT images is associated with overall survival in patients with prostate cancer
(
- Contribution to journal › Article
-
Mark
Association of PET index quantifying skeletal uptake in NaF PET/CT images with overall survival in prostate cancer patients
2017) American Society of Clinical Oncology Genitourinary (ASCO GU) Cancers Symposium In Journal of Clinical Oncology 35(6 Suppl). p.178-178(
- Contribution to journal › Published meeting abstract
- 2016
-
Mark
Analytical Validation of the Automated Bone Scan Index as an Imaging Biomarker to Standardize the Quantitative Changes in Bone Scans of Patients with Metastatic Prostate Cancer.
(
- Contribution to journal › Article
-
Mark
A preanalytic validation study of automated bone scan index : Effect on accuracy and reproducibility due to the procedural variabilities in bone scan image acquisition
(
- Contribution to journal › Article
-
Mark
Automated Bone Scan Index as a quantitative imaging biomarker in metastatic castration-resistant prostate cancer patients being treated with enzalutamide.
(
- Contribution to journal › Article
-
Mark
Bone Scan Index and Progression-free Survival Data for Progressive Metastatic Castration-resistant Prostate Cancer Patients Who Received ODM-201 in the ARADES Multicentre Study
(
- Contribution to journal › Article
-
Mark
Bone Scan Index as an Imaging Biomarker in Metastatic Castration-resistant Prostate Cancer : A Multicentre Study Based on Patients Treated with Abiraterone Acetate (Zytiga) in Clinical Practice
(
- Contribution to journal › Article
- 2015
-
Mark
Computerized decision making in myocardial perfusion SPECT: The new era in nuclear cardiology?
(
- Contribution to journal › Debate/Note/Editorial
-
Mark
Quantitative imaging by automated bone scan index (BSI) as a response biomarker in standard clinical care of patients with metastatic castration-resistant prostate cancer (mCRPC) treated with enzalutamide
2015) American Society of Clinical Oncology Genitourinary (ASCO GU) Cancers Symposium In Journal of Clinical Oncology 33(7 Suppl). p.288-288(
- Contribution to journal › Published meeting abstract
-
Mark
Perfusion vector-a new method to quantify myocardial perfusion scintigraphy images: a simulation study with validation in patients.
(
- Contribution to journal › Article
-
Mark
Computer automated bone scan index (BSI) as an analytically validated imaging biomarker to quantitate change in bone scan of patients with metastatic prostate cancer
2015) American Society of Clinical Oncology Genitourinary (ASCO GU) Cancers Symposium In Journal of Clinical Oncology 33(15 Suppl). p.5044-5044(
- Contribution to journal › Published meeting abstract
-
Mark
Evaluation of inter-departmental variability of ejection fraction and cardiac volumes in myocardial perfusion scintigraphy using simulated data.
(
- Contribution to journal › Article
-
Mark
Reporting nuclear cardiology: a joint position paper by the European Association of Nuclear Medicine (EANM) and the European Association of Cardiovascular Imaging (EACVI).
(
- Contribution to journal › Article
- 2014
-
Mark
New Routine for Nuclear Medicine Technologists to Determine When to Add SPECT/CT to a Whole-Body Bone Scan.
(
- Contribution to journal › Article
-
Mark
Analysis of regional bone scan index measurements for the survival of patients with prostate cancer.
(
- Contribution to journal › Article
-
Mark
Computer-aided diagnosis system outperforms scoring analysis in myocardial perfusion imaging
(
- Contribution to journal › Article
-
Mark
Bone Scan Index as a prognostic imaging biomarker during androgen deprivation therapy.
(
- Contribution to journal › Article
-
Mark
The accuracy of quantitative parameters in (99m) Tc-MAG3 dynamic renography: a national audit based on virtual image data.
2014) In Clinical Physiology and Functional Imaging(
- Contribution to journal › Article
-
Mark
Assessment of the bone scan index in a randomized placebo-controlled trial of tasquinimod in men with metastatic castration-resistant prostate cancer (mCRPC).
(
- Contribution to journal › Article
-
Mark
Area of ischemia assessed by physicians and software packages from myocardial perfusion scintigrams.
(
- Contribution to journal › Article
- 2013
-
Mark
Adding attenuation corrected images in myocardial perfusion imaging reduces the need for a rest study.
(
- Contribution to journal › Article
-
Mark
Prognosis of patients without perfusion defects with and without rest study in myocardial perfusion scintigraphy
(
- Contribution to journal › Article
-
Mark
Progression of bone metastases in patients with prostate cancer - automated detection of new lesions and calculation of bone scan index
(
- Contribution to journal › Article
-
Mark
Bone Scan Index: A prognostic imaging biomarker for high-risk prostate cancer patients receiving primary hormonal therapy
(
- Contribution to journal › Article
-
Mark
Improved quantification of small hearts for gated myocardial perfusion imaging
(
- Contribution to journal › Article
- 2012
-
Mark
Normal stress databases in myocardial perfusion scintigraphy - how many subjects do you need?
(
- Contribution to journal › Article
-
Mark
Referring physicians underestimate the extent of abnormalities in final reports from myocardial perfusion imaging
(
- Contribution to journal › Article
-
Mark
Nuclear medicine technologists are able to accurately determine when a myocardial perfusion rest study is necessary.
(
- Contribution to journal › Article
-
Mark
An artificial neural network to safely reduce the number of ambulance ECGs transmitted for physician assessment in a system with prehospital detection of ST elevation myocardial infarction
(
- Contribution to journal › Article
-
Mark
A new automated method for analysis of rCBF-SPECT images based on the active-shape algorithm: normal values.
(
- Contribution to journal › Article
-
Mark
A Novel Automated Platform for Quantifying the Extent of Skeletal Tumour Involvement in Prostate Cancer Patients Using the Bone Scan Index.
(
- Contribution to journal › Article
- 2011
-
Mark
Asymmetric cerebral blood flow in patients with mild cognitive impairment: possible relationship to further cognitive deterioration.
(
- Contribution to journal › Article
-
Mark
Relation between pain and skeletal metastasis in patients with prostate or breast cancer.
(
- Contribution to journal › Article
-
Mark
Automatic Compartment Modelling and Segmentation for Dynamical Renal Scintigraphies
(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
-
Mark
Clinical data do not improve artificial neural network interpretation of myocardial perfusion scintigraphy.
(
- Contribution to journal › Article
-
Mark
Diagnostic evaluation of three cardiac software packages using a consecutive group of patients
(
- Contribution to journal › Article
-
Mark
An Automated System for the Detection and Diagnosis of Kidney Lesions in Children from Scintigraphy Images
(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
- 2010
-
Mark
Pre-treatment Bone Scan Index as an Outcome Measure Predicting for Survival in Patients with Castration-Refractory Prostate Cancer
2010) 23rd Annual Congress of the European-Association-of-Nuclear-Medicine (EANM) In European Journal of Nuclear Medicine and Molecular Imaging 37. p.270-270(
- Contribution to journal › Published meeting abstract
-
Mark
Bone scan index can be used to predict survival in patients with prostate cancer
2010) 23rd Annual Congress of the European-Association-of-Nuclear-Medicine (EANM) In European Journal of Nuclear Medicine and Molecular Imaging 37. p.298-298(
- Contribution to journal › Published meeting abstract
-
Mark
Automated Quantification of Myocardial Perfusion Scintigrams: A Comparison of Three Software Packages
2010) 23rd Annual Congress of the European-Association-of-Nuclear-Medicine (EANM) In European Journal of Nuclear Medicine and Molecular Imaging 37. p.248-249(
- Contribution to journal › Published meeting abstract
-
Mark
Semi-Automated Analysis of Standard Uptake Values in Serial PET/CT Studies in Patients with Lung Cancer and Lymphoma
2010) 23rd Annual Congress of the European-Association-of-Nuclear-Medicine (EANM) In European Journal of Nuclear Medicine and Molecular Imaging 37. p.351-351(
- Contribution to journal › Published meeting abstract
-
Mark
Small Differences in Attenuation-Corrected Images between Men and Women in Myocardial Perfusion Scintigraphy: A Novel Normal Stress Database
2010) 23rd Annual Congress of the European-Association-of-Nuclear-Medicine (EANM) In European Journal of Nuclear Medicine and Molecular Imaging 37. p.300-300(
- Contribution to journal › Published meeting abstract
-
Mark
Semi-Quantification of DAT SPECT Images - Survey of Normal Reference Limits Used at Different Hospitals
2010) 23rd Annual Congress of the European-Association-of-Nuclear-Medicine (EANM) In European Journal of Nuclear Medicine and Molecular Imaging 37. p.400-400(
- Contribution to journal › Published meeting abstract
- 2009
-
Mark
Automated Decision Support for Bone Scintigraphy
(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
-
Mark
Exploring new possibilities for case based explanation of artificial neural network ensembles
(
- Contribution to journal › Article
-
Mark
In search of the best method to predict acute coronary syndrome using only the electrocardiogram from the emergency department.
(
- Contribution to journal › Article
- 2008
-
Mark
Use of neural networks to improve quality control of interpretations in myocardial perfusion imaging
(
- Contribution to journal › Article
-
Mark
Quality of planar whole-body bone scan interpretations - a nationwide survey
(
- Contribution to journal › Article
-
Mark
Normal limits for left ventricular ejection fraction and volumes determined by gated single photon emission computed tomography - a comparison between two quantification methods
(
- Contribution to journal › Article
-
Mark
Explaining artificial neural network ensembles: A case study with electrocardiograms from chest pain patients
2008) International Conference on Machine Learning(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
-
Mark
Pre-hospital prediction of transmural myocardial infarction and the need of acute coronary reperfusion by an artificial neural network compared to real-time prediction by a cardiac care unit physician
2008) National Meeting in Emergency Medicine, 2008(
- Contribution to conference › Poster
-
Mark
Computer-Assisted Interpretation of Planar Whole-Body Bone Scans.
(
- Contribution to journal › Article
-
Mark
Evaluation of a decision support system for interpretation of myocardial perfusion gated SPECT
(
- Contribution to journal › Article
-
Mark
A decision support system improves the interpretation of myocardial perfusion imaging.
(
- Contribution to journal › Article
-
Mark
EANM/ESC Guidelines for Radionuclide Imaging of Cardiac function
(
- Contribution to journal › Article
- 2007
-
Mark
Best leads in the standard electrocardiogram for the emergency detection of acute coronary syndrome.
(
- Contribution to journal › Article
-
Mark
Automated interpretation of PET/CT images in patients with lung cancer.
(
- Contribution to journal › Article
- 2006
-
Mark
A model that accounts for the interdependence of extent and severity in the automatic evaluation of myocardial defects.
(
- Contribution to journal › Article
-
Mark
Direct hospital costs of chest pain patients attending the emergency department: a retrospective study
(
- Contribution to journal › Article
-
Mark
Validation of a new automated method for analysis of gated-SPECT images
(
- Contribution to journal › Article
-
Mark
A new computer-based decision-support system for the interpretation of bone scans.
(
- Contribution to journal › Article
-
Mark
Comparison between neural networks and multiple logistic regression to predict acute coronary syndrome in the emergency room
(
- Contribution to journal › Article
-
Mark
A simple statistical model for prediction of acute coronary syndrome in chest pain patients in the emergency department
(
- Contribution to journal › Article
-
Mark
Subendocardial versus transmural ischaemia in myocardial perfusion SPECT - a Monte Carlo study
(
- Contribution to journal › Article
-
Mark
Decision Support for the Initial Triage of Patients with Acute Myocardial Infarction
(
- Contribution to journal › Article
-
Mark
The added value of ECG-gating for the diagnosis of myocardial infarction using myocardial perfusion scintigraphy and artificial neural networks
(
- Contribution to journal › Article
-
Mark
Patient gender and radiopharmaceutical tracer is of minor importance for the interpretation of myocardial perfusion images using an artificial neural network.
(
- Contribution to journal › Article
- 2005
-
Mark
Decision support system for the diagnosis of Parkinson's disease
2005) Scandinavian Conf. on Image Analysis(
- Contribution to conference › Paper, not in proceeding
-
Mark
Interdependence between measures of extent and severity of myocardial perfusion defects provided by automatic quantification programs.
(
- Contribution to journal › Article
-
Mark
Comparison of 1- and 2-day protocols for myocardial SPECT: a Monte Carlo study.
(
- Contribution to journal › Article
-
Mark
Interpretation of captopril renography using artificial neural networks.
(
- Contribution to journal › Article
-
Mark
Detection of acute coronary syndromes in chest pain patients using neural network ensembles
2005) Second International Conference on Computational Intelligence in Medicine and Healthcare p.182-187(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
-
Mark
A new automated method for analysis of gated-SPECT images based on a three-dimensional heart shaped model
(
- Contribution to journal › Article
-
Mark
Toward personal eHealth in cardiology. Results from the EPI-MEDICS telemedicine project
(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
-
Mark
EANM/ESC procedural guidelines for myocardial perfusion imaging in nuclear cardiology
(
- Contribution to journal › Article
- 2004
-
Mark
Operator dependent variability in quantitative analysis of myocardial perfusion images.
(
- Contribution to journal › Article
-
Mark
Detecting acute myocardial infarction in the 12-lead ECG using Hermite expansions and neural networks.
(
- Contribution to journal › Article
-
Mark
Quantification of myocardial perfusion defects using three different software packages.
(
- Contribution to journal › Article
-
Mark
Regional Cerebral Blood Flow in Alzheimer's Disease: Classification and Analysis of Heterogeneity.
(
- Contribution to journal › Article
- 2003
-
Mark
Role of ventilation scintigraphy in diagnosis of acute pulmonary embolism: an evaluation using artificial neural networks.
(
- Contribution to journal › Article
-
Mark
Automated interpretation of ventilation-perfusion lung scintigrams for the diagnosis of pulmonary embolism using support vector machines
(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
- 2002
-
Mark
Value of exercise data for the interpretation of myocardial perfusion SPECT
(
- Contribution to journal › Article
-
Mark
Neural networks--a diagnostic tool in acute myocardial infarction with concomitant left bundle branch block.
(
- Contribution to journal › Article
- 2001
-
Mark
Usefulness of serial electrocardiograms for diagnosis of acute myocardial infarction
(
- Contribution to journal › Article
-
Mark
Normal or Alzheimer's disease? - Automated interpretation of cerebral blood flow images using artificial neural networks
2001) Congress of the european association of nuclear medicine In European Journal Of Nuclear Medicine 28(8). p.1062-1062(
- Contribution to journal › Published meeting abstract
-
Mark
The optimal reference population for cardiac normality in myocardial SPET in the detection of coronary artery stenoses: patients with normal coronary angiography or subjects with low likelihood of coronary artery disease?
(
- Contribution to journal › Article
-
Mark
An independent evaluation of a new method for automated interpretation of lung scintigrams using artificial neural networks
(
- Contribution to journal › Article
- 2000
-
Mark
Clustering ECG complexes using Hermite functions and self-organizing maps
(
- Contribution to journal › Article
-
Mark
Changes in high-frequency QRS components are more sensitive than ST segment deviation for detecting acute coronary artery occlusion
(
- Contribution to journal › Article
-
Mark
Spatial, individual and temporal variation of the high frequency QRS amplitudes in the 12 standard electrocardiographic leads
(
- Contribution to journal › Article
-
Mark
Automated Interpretation of Ventilation-Perfusion Lung Scintigrams for the Diagnosis of Pulmonary Embolism using Artificial Neural Networks
(
- Contribution to journal › Article
- 1999
-
Mark
A confident decision support system for interpreting electrocardiograms
(
- Contribution to journal › Article
-
Mark
Automated Interpretation of Ventilation-Perfusion Lung Scans
1999) Society Nuclear Medicine(
- Contribution to conference › Paper, not in proceeding
- 1997
-
Mark
Automated interpretation of myocardial SPECT perfusion images using artificial neural networks
(
- Contribution to journal › Article
- 1996
-
Mark
Agreement between artificial neural networks and experienced electrocardiographer on electrocardiographic diagnosis of healed myocardial infarction
(
- Contribution to journal › Article
-
Mark
Detection of frequently overlooked electrocardiographic lead reversals using artificial neural networks
(
- Contribution to journal › Article
- 1995
-
Mark
Artificial neural networks for recognition of electrocardiographic lead reversal
(
- Contribution to journal › Article
- 1990
-
Mark
Improved ECG interpretation using synthesized VCG for the diagnosis of inferior myocardial infarction
(
- Contribution to journal › Article