Trygve Eftestøl
Orcid: 0000-0003-4487-7018
According to our database1,
Trygve Eftestøl
authored at least 83 papers
between 2000 and 2024.
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Bibliography
2024
Analysis and knowledge extraction of newborn resuscitation activities from annotation files.
BMC Medical Informatics Decis. Mak., December, 2024
NMGrad: Advancing Histopathological Bladder Cancer Grading with Weakly Supervised Deep Learning.
CoRR, 2024
Self-Contrastive Weakly Supervised Learning Framework for Prognostic Prediction Using Whole Slide Images.
CoRR, 2024
Proceedings of the Cancer Prevention, Detection, and Intervention - Third MICCAI Workshop, 2024
Machine Learning Methods For Classification of Individuals With Coronary Artery Calcification.
Proceedings of the 37th IEEE International Symposium on Computer-Based Medical Systems, 2024
2023
Automatic prediction of therapeutic activities during newborn resuscitation combining video and signal data.
Biomed. Signal Process. Control., September, 2023
Reconsidering evaluation practices in modular systems: On the propagation of errors in MRI prostate cancer detection.
CoRR, 2023
Leveraging multi-view data without annotations for prostate MRI segmentation: A contrastive approach.
CoRR, 2023
Vision Transformers for Small Histological Datasets Learned Through Knowledge Distillation.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023
Proceedings of the 2023 Northern Lights Deep Learning Workshop, 2023
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
Active Learning Based Domain Adaptation for Tissue Segmentation of Histopathological Images.
Proceedings of the 31st European Signal Processing Conference, 2023
A Convolutional Neural Network Approach for Interpreting Cardiac Rhythms from Resuscitation of Cardiac Arrest Patients.
Proceedings of the Computing in Cardiology, 2023
2022
Learning to triage by learning to reconstruct: a generative self-supervised approach for prostate cancer based on axial T2w MRI.
Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, San Diego, 2022
One class to rule them all: detection and classification of prostate tumors presence in bi-parametric MRI based on auto-encoders.
Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, San Diego, 2022
Improving prostate cancer triage with GAN-based synthetically generated prostate ADC MRI.
Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, San Diego, 2022
Invasive Cancerous Area Detection in Non-Muscle Invasive Bladder Cancer Whole Slide Images.
Proceedings of the 14th IEEE Image, Video, and Multidimensional Signal Processing Workshop, 2022
Contrasting Axial T2W MRI for Prostate Cancer Triage: A Self-Supervised Learning Approach.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022
Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022
Adaptive Filtering Methods for ECG Waveform Restoration during Cardiopulmonary Resuscitation.
Proceedings of the Computing in Cardiology, 2022
2021
Self-transfer learning via patches: A prostate cancer triage approach based on bi-parametric MRI.
CoRR, 2021
Automatic Diagnostic Tool for Predicting Cancer Grade in Bladder Cancer Patients Using Deep Learning.
IEEE Access, 2021
A Machine Learning-Based Pulse Detection Algorithm for Use During Cardiopulmonary Resuscitation.
Proceedings of the Computing in Cardiology, CinC 2021, Brno, 2021
2020
IEEE J. Biomed. Health Informatics, 2020
IEEE J. Biomed. Health Informatics, 2020
Rhythm Analysis during Cardiopulmonary Resuscitation Using Convolutional Neural Networks.
Entropy, 2020
Automatic identification of stimulation activities during newborn resuscitation using ECG and accelerometer signals.
Comput. Methods Programs Biomed., 2020
Multimodal Biosignal Analysis Algorithm for the Classification of Cardiac Rhythms During Resuscitation.
Proceedings of the Computing in Cardiology, 2020
A Probabilistic Function to Model the Relationship between Quality of Chest Compressions and the Physiological Response for Patients in Cardiac Arrest.
Proceedings of the Computing in Cardiology, 2020
2019
A Machine Learning Shock Decision Algorithm for Use During Piston-Driven Chest Compressions.
IEEE Trans. Biomed. Eng., 2019
A Multistage Algorithm for ECG Rhythm Analysis During Piston-Driven Mechanical Chest Compressions.
IEEE Trans. Biomed. Eng., 2019
IEEE Access, 2019
Multiclass Tissue Classification of Whole-Slide Histological Images using Convolutional Neural Networks.
Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods, 2019
Baseline Wander Removal and Isoelectric Correction in Electrocardiograms Using Clustering.
Proceedings of the IEEE International Conference on Acoustics, 2019
Validation of Baseline Wander Removal and Isoelectric Correction in Electrocardiograms Using Clustering.
Proceedings of the 27th European Signal Processing Conference, 2019
A Robust Machine Learning Architecture for a Reliable ECG Rhythm Analysis during CPR.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
2018
J. Autom. Mob. Robotics Intell. Syst., 2018
ECG Signal Analysis for Troponin Level Assessment and Coronary Artery Disease Detection: the NEEDED Study 2014.
Proceedings of the 2018 Federated Conference on Computer Science and Information Systems, 2018
Proceedings of the 26th European Signal Processing Conference, 2018
Proceedings of the Computing in Cardiology, 2018
ECG Rhythm Analysis During Manual Chest Compressions Using an Artefact Removal Filter and Random Forest Classifiers.
Proceedings of the Computing in Cardiology, 2018
An Accurate Shock/No-Shock Decision Algorithm for Use During Piston-Driven Chest Compressions.
Proceedings of the Computing in Cardiology, 2018
2017
IEEE J. Biomed. Health Informatics, 2017
ECG-Based Classification of Resuscitation Cardiac Rhythms for Retrospective Data Analysis.
IEEE Trans. Biomed. Eng., 2017
Automatic classification of resuscitation activities on birth-asphyxiated newborns using acceleration and ECG signals.
Biomed. Signal Process. Control., 2017
Classifying Alzheimer's disease, Lewy body dementia, and normal controls using 3D texture analysis in magnetic resonance images.
Biomed. Signal Process. Control., 2017
Proceedings of the Image Analysis - 20th Scandinavian Conference, 2017
Signal processing and classification for identification of clinically important parameters during neonatal resuscitation.
Proceedings of the 2017 IEEE International Conference on Signal and Image Processing Applications, 2017
Segmentation of coronary arteries from X-ray angiography sequences during contrast fluid propagation by image registration.
Proceedings of the 2017 IEEE Global Conference on Signal and Information Processing, 2017
Proceedings of the Computing in Cardiology, 2017
2016
Detection of Activities During Newborn Resuscitation Based on Short-Time Energy of Acceleration Signal.
Proceedings of the Image and Signal Processing - 7th International Conference, 2016
2015
Classifying Dementia Using Local Binary Patterns from Different Regions in Magnetic Resonance Images.
Int. J. Biomed. Imaging, 2015
Cardiac magnetic resonance image-based classification of the risk of arrhythmias in post-myocardial infarction patients.
Artif. Intell. Medicine, 2015
Automatic Detection of Microvascular Obstruction in Patients with Myocardial Infarction.
Proceedings of the Computing in Cardiology, 2015
Exploring the Relationship Between Characteristics of Ventilation Performance and Response of Newborns During Resuscitation.
Proceedings of the Biomedical Engineering Systems and Technologies, 2015
Exploratory Analysis of Ventilation Signals from Resuscitation Data of Newborns.
Proceedings of the BIOSIGNALS 2015, 2015
Segmentation of LG Enhanced Cardiac MRI .
Proceedings of the BIOIMAGING 2015, 2015
2014
A texture-based probability mapping for localisation of clinically important cardiac segments in the myocardium in cardiac magnetic resonance images from myocardial infarction patients.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014
Nearest-manifold classification approach for cardiac arrest rhythm interpretation during resuscitation.
Proceedings of the IEEE International Conference on Acoustics, 2014
Exploratory Analysis of Heart Rate Changes in Newborns to Investigate the Effectiveness of Bag-Mask Ventilation.
Proceedings of the Computing in Cardiology, CinC 2014, 2014
Defining Angular and Radial Positions and Parameters for Myocardial Pixels in Cardiac MR Images.
Proceedings of the Computing in Cardiology, CinC 2014, 2014
Filtering Chest Compression Artifacts Improves the Performance of VF-detection Parameters.
Proceedings of the Computing in Cardiology, CinC 2014, 2014
2013
Probabilistic Classification Approaches for Cardiac Arrest Rhythm Interpretation during Resuscitation.
Proceedings of the Computing in Cardiology, 2013
Measuring the Degree of Fibrosity in Myocardial Scars fromLate Gadolinium-Enhanced Cardiovascular Magnetic Resonance Images.
Proceedings of the Computing in Cardiology, 2013
A Simple Impedance-Based Method for Ventilation Detection During Cardiopulmonary Resuscitation.
Proceedings of the Computing in Cardiology, 2013
Automatic Segmentation of the Epicardium in Late Gadolinium Enhanced Cardiac MR Images.
Proceedings of the Computing in Cardiology, 2013
A New Algorithm to Diagnose during Chest Compressions: Effects on Cardiopulmonary Resuscitation Delivery.
Proceedings of the Computing in Cardiology, 2013
2012
Appl. Artif. Intell., 2012
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012
Local Binary Patterns used on Cardiac MRI to classify high and low risk patient groups.
Proceedings of the 20th European Signal Processing Conference, 2012
2011
Texture classification of scarred and non-scarred myocardium in cardiac MRI using learned dictionaries.
Proceedings of the 18th IEEE International Conference on Image Processing, 2011
Segmentation of scarred and non-scarred myocardium in LG enhanced CMR images using intensity-based textural analysis.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011
2009
A Least Mean-Square Filter for the Estimation of the Cardiopulmonary Resuscitation Artifact Based on the Frequency of the Compressions.
IEEE Trans. Biomed. Eng., 2009
Proceedings of the 23rd International Conference on Advanced Information Networking and Applications, 2009
2008
Automatic Identification of Return of Spontaneous Circulation During Cardiopulmonary Resuscitation.
IEEE Trans. Biomed. Eng., 2008
Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2008
2007
IEEE Trans. Biomed. Eng., 2007
2002
Removal of cardiopulmonary resuscitation artifacts from human ECG using an efficient matching pursuit-like algorithm.
IEEE Trans. Biomed. Eng., 2002
Multichannel adaptive filtering using an efficient matching pursuit-like algorithm for removal of CPR artifacts in ECG signals.
Proceedings of the IEEE International Conference on Acoustics, 2002
2001
Int. J. Bifurc. Chaos, 2001
2000
Signal analysis of out-of-hospital cardiac arrest electrocardiograms for decision support during cardiopulmonary resuscitation.
PhD thesis, 2000
IEEE Trans. Biomed. Eng., 2000