CPR artifact removal from human ECG using optimal multichannel filtering. - Sven Ole Aase; Trygve Eftestøl; John Håkon Husøy; Kjetil Sunde; Petter Andreas Steen (IEEE Trans. Biomed. Eng., 2000)

Signal analysis of out-of-hospital cardiac arrest electrocardiograms for decision support during cardiopulmonary resuscitation. - Trygve Eftestøl (2000)

Temporal Evolution of nonlinear Dynamics in Ventricular Arrhythmia. - Michael Small; Dejin Yu; Robert G. Harrison; Richard H. Clayton; Trygve Eftestøl; Kjetil Sunde; Petter Andreas Steen (Int. J. Bifurc. Chaos, 2001)

Multichannel adaptive filtering using an efficient matching pursuit-like algorithm for removal of CPR artifacts in ECG signals. - Joar Eilevstjønn; John Håkon Husøy; Trygve Eftestøl; Sven Ole Aase; Petter Andreas Steen (ICASSP, 2002)

Removal of cardiopulmonary resuscitation artifacts from human ECG using an efficient matching pursuit-like algorithm. - John Håkon Husøy; Joar Eilevstjønn; Trygve Eftestøl; Sven Ole Aase; Helge Myklebust; Petter Andreas Steen (IEEE Trans. Biomed. Eng., 2002)

Impedance-Based Ventilation Detection During Cardiopulmonary Resuscitation. - Martin Risdal; Sven Ole Aase; Mette Stavland; Trygve Eftestøl (IEEE Trans. Biomed. Eng., 2007)

Splice Site Prediction Using Artificial Neural Networks. - Øystein Johansen; Tom Ryen; Trygve Eftestøl; Thomas Kjosmoen; Peter Ruoff (CIBB, 2008)

Automatic Identification of Return of Spontaneous Circulation During Cardiopulmonary Resuscitation. - Martin Risdal; Sven Ole Aase; Jo Kramer-Johansen; Trygve Eftestøl (IEEE Trans. Biomed. Eng., 2008)

An Integrated Information Sharing Structure for Resuscitation Data. - Kari Anne Haaland Thorsen; Trygve Eftestøl; Chunming Rong; Petter Andreas Steen (AINA Workshops, 2009)

A Least Mean-Square Filter for the Estimation of the Cardiopulmonary Resuscitation Artifact Based on the Frequency of the Compressions. - Unai Irusta; Jesús Ruiz; Sofía Ruiz de Gauna; Trygve Eftestøl; Jo Kramer-Johansen (IEEE Trans. Biomed. Eng., 2009)

Segmentation of scarred and non-scarred myocardium in LG enhanced CMR images using intensity-based textural analysis. - Lasya Priya Kotu; Kjersti Engan; Trygve Eftestøl; Stein Ørn; Leik Woie (EMBC, 2011)

Texture classification of scarred and non-scarred myocardium in cardiac MRI using learned dictionaries. - Lasya Priya Kotu; Kjersti Engan; Trygve Eftestøl; Stein Ørn; Leik Woie (ICIP, 2011)

Local Binary Patterns used on Cardiac MRI to classify high and low risk patient groups. - Lasya Priya Kotu; Kjersti Engan; Trygve Eftestøl; Leik Woie; Stein Ørn; Aggelos K. Katsaggelos (EUSIPCO, 2012)

Using local binary pattern to classify dementia in MRI. - Ketil Oppedal; Kjersti Engan; Dag Aarsland; Mona K. Beyer; Ole-Bjorn Tysnes; Trygve Eftestøl (ISBI, 2012)

A Mixture Model Classifier and its Application on the Biomedical Time Series. - Zhijun Yang; Zheng Rong Yang; Trygve Eftestøl; Petter Andreas Steen; Weiping Lu; Robert G. Harrison (Appl. Artif. Intell., 2012)

A New Algorithm to Diagnose during Chest Compressions: Effects on Cardiopulmonary Resuscitation Delivery. - Unai Ayala; Unai Irusta; Jesús Ruiz; Digna M. González-Otero; Erik Alonso; Jo Kramer-Johansen; Trygve Eftestøl (CinC, 2013)

Automatic Segmentation of the Epicardium in Late Gadolinium Enhanced Cardiac MR Images. - Kjersti Engan; Valery Naranjo; Trygve Eftestøl; Stein Ørn; Leik Woie (CinC, 2013)

A Simple Impedance-Based Method for Ventilation Detection During Cardiopulmonary Resuscitation. - Digna M. González-Otero; Erik Alonso; Jesús Ruiz; Elisabete Aramendi; Sofía Ruiz de Gauna; Unai Ayala; Jo Kramer-Johansen; Trygve Eftestøl (CinC, 2013)

Measuring the Degree of Fibrosity in Myocardial Scars fromLate Gadolinium-Enhanced Cardiovascular Magnetic Resonance Images. - Frode Måløy; Leik Woie; Trygve Eftestøl; Kjersti Engan; Stein Ørn (CinC, 2013)

Probabilistic Classification Approaches for Cardiac Arrest Rhythm Interpretation during Resuscitation. - Ali Bahrami Rad; Trygve Eftestøl; Jan Terje Kvaløy; Unai Ayala; Jo Kramer-Johansen; Kjersti Engan (CinC, 2013)

Filtering Chest Compression Artifacts Improves the Performance of VF-detection Parameters. - Unai Ayala; Unai Irusta; Jesús Ruiz; Felipe Alonso Atienza; Erik Alonso; Digna M. González-Otero; Jo Kramer-Johansen; Henning Naas; Trygve Eftestøl (CinC, 2014)

Defining Angular and Radial Positions and Parameters for Myocardial Pixels in Cardiac MR Images. - Kjersti Engan; Leik Woie; Trygve Eftestøl (CinC, 2014)

Exploratory Analysis of Heart Rate Changes in Newborns to Investigate the Effectiveness of Bag-Mask Ventilation. - Huyen Vu; Trygve Eftestøl; Kjersti Engan; Joar Eilevstjønn; Jørgen E. Linde; Hege Ersdal (CinC, 2014)

Nearest-manifold classification approach for cardiac arrest rhythm interpretation during resuscitation. - Ali Bahrami Rad; Trygve Eftestøl; Jan Terje Kvaløy; Unai Ayala; Jo Kramer-Johansen; Kjersti Engan (ICASSP, 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. - Trygve Eftestøl; Frode Måløy; Kjersti Engan; Lasya Priya Kotu; Leik Woie; Stein Ørn (ICIP, 2014)

Segmentation of LG Enhanced Cardiac MRI . - Kjersti Engan; Valery Naranjo; Trygve Eftestøl; Stein Ørn; Leik Woie (BIOIMAGING, 2015)

Exploratory Analysis of Ventilation Signals from Resuscitation Data of Newborns. - Huyen Vu; Trygve Eftestøl; Kjersti Engan; Joar Eilevstjønn; Jørgen E. Linde; Hege Ersdal (BIOSIGNALS, 2015)

Exploring the Relationship Between Characteristics of Ventilation Performance and Response of Newborns During Resuscitation. - Huyen Vu; Trygve Eftestøl; Kjersti Engan; Joar Eilevstjønn; Ladislaus Blacy Yarrot; Jørgen E. Linde; Hege Ersdal (BIOSTEC (Selected Papers), 2015)

Automatic Detection of Microvascular Obstruction in Patients with Myocardial Infarction. - Trygve Eftestøl; Erlend Singsaas; Kjersti Engan; Leik Woie; Stein Ørn (CinC, 2015)

Cardiac magnetic resonance image-based classification of the risk of arrhythmias in post-myocardial infarction patients. - Lasya Priya Kotu; Kjersti Engan; Reza Borhani; Aggelos K. Katsaggelos; Stein Ørn; Leik Woie; Trygve Eftestøl (Artif. Intell. Medicine, 2015)

Classifying Dementia Using Local Binary Patterns from Different Regions in Magnetic Resonance Images. - Ketil Oppedal; Trygve Eftestøl; Kjersti Engan; Mona K. Beyer; Dag Aarsland (Int. J. Biomed. Imaging, 2015)

Detection of Activities During Newborn Resuscitation Based on Short-Time Energy of Acceleration Signal. - Huyen Vu; Trygve Eftestøl; Kjersti Engan; Joar Eilevstjønn; Ladislaus Blacy Yarrot; Jørgen E. Linde; Hege Ersdal (ICISP, 2016)

Removing Piston-driven Mechanical Chest Compression Artefacts from the ECG. - Iraia Isasi; Unai Irusta; Elisabete Aramendi; Unai Ayala; Erik Alonso; Jo Kramer-Johansen; Trygve Eftestøl (CinC, 2017)

Segmentation of coronary arteries from X-ray angiography sequences during contrast fluid propagation by image registration. - Mahdieh Khanmohammadi; Kjersti Engan; Trygve Eftestøl; C. Soland; A. I. Larsen (GlobalSIP, 2017)

Signal processing and classification for identification of clinically important parameters during neonatal resuscitation. - Jarle Urdal; Kjersti Engan; Trygve Eftestøl; Hussein Kidanto; Ladislaus Blacy Yarrot; Joar Eilevstjønn; Hege Ersdal (ICSIPA, 2017)

Detecting Chest Compression Depth Using a Smartphone Camera and Motion Segmentation. - Øyvind Meinich-Bache; Kjersti Engan; Trygve Eftestøl; Ivar Austvoll (SCIA (2), 2017)

Classifying Alzheimer's disease, Lewy body dementia, and normal controls using 3D texture analysis in magnetic resonance images. - Ketil Oppedal; Kjersti Engan; Trygve Eftestøl; Mona K. Beyer; Dag Aarsland (Biomed. Signal Process. Control., 2017)

Automatic classification of resuscitation activities on birth-asphyxiated newborns using acceleration and ECG signals. - Huyen Vu; Kjersti Engan; Trygve Eftestøl; Aggelos K. Katsaggelos; Samwel Jatosh; Simeon Kusulla; Estomih Mduma; Hussein Kidanto; Hege Ersdal (Biomed. Signal Process. Control., 2017)

ECG-Based Classification of Resuscitation Cardiac Rhythms for Retrospective Data Analysis. - Ali Bahrami Rad; Trygve Eftestøl; Kjersti Engan; Unai Irusta; Jan Terje Kvaløy; Jo Kramer-Johansen; Lars Wik; Aggelos K. Katsaggelos (IEEE Trans. Biomed. Eng., 2017)

Automatic Detection and Parameterization of Manual Bag-Mask Ventilation on Newborns. - Huyen Vu; Trygve Eftestøl; Kjersti Engan; Joar Eilevstjønn; Ladislaus Blacy Yarrot; Jørgen E. Linde; Hege Langli Ersdal (IEEE J. Biomed. Health Informatics, 2017)

An Accurate Shock/No-Shock Decision Algorithm for Use During Piston-Driven Chest Compressions. - Iraia Isasi; Unai Irusta; Elisabete Aramendi; Unai Ayala; Erik Alonso; Jo Kramer-Johansen; Trygve Eftestøl (CinC, 2018)

ECG Rhythm Analysis During Manual Chest Compressions Using an Artefact Removal Filter and Random Forest Classifiers. - Iraia Isasi; Ali Bahrami Rad; Unai Irusta; Morteza Zabihi; Elisabete Aramendi; Trygve Eftestøl; Jo Kramer-Johansen; Lars Wik (CinC, 2018)

Invariant Mean Electrical Axis in Electrocardiogram. - Kjell Le; Trygve Eftestøl; Kjersti Engan; Øyunn Kleiven; Stein Ørn (CinC, 2018)

High Frequency Noise Detection and Handling in ECG Signals. - Kjell Le; Trygve Eftestøl; Kjersti Engan; Stein Ørn; Øyunn Kleiven (EUSIPCO, 2018)

ECG Signal Analysis for Troponin Level Assessment and Coronary Artery Disease Detection: the NEEDED Study 2014. - Dominika Dlugosz; Aleksandra Królak; Trygve Eftestøl; Stein Ørn; Tomasz Wiktorski; Kay Raymond Jenssen Oskal; Martin Nygård (FedCSIS, 2018)

The North Sea Bicycle Race ECG Project: Time-Domain Analysis. - Dominika Dlugosz; Trygve Eftestøl; Aleksandra Królak; Tomasz Wiktorski; Stein Ørn (J. Autom. Mob. Robotics Intell. Syst., 2018)

A Robust Machine Learning Architecture for a Reliable ECG Rhythm Analysis during CPR. - Iraia Isasi; Unai Irusta; Andoni Elola; Elisabete Aramendi; Trygve Eftestøl; Jo Kramer-Johansen; Lars Wik (EMBC, 2019)

Validation of Baseline Wander Removal and Isoelectric Correction in Electrocardiograms Using Clustering. - Kjell Le; Trygve Eftestøl; Kjersti Engan; Øyunn Kleiven; Stein Ørn (EUSIPCO, 2019)

Baseline Wander Removal and Isoelectric Correction in Electrocardiograms Using Clustering. - Kjell Le; Trygve Eftestøl; Kjersti Engan; Øyunn Kleiven; Stein Ørn (ICASSP, 2019)

Multiclass Tissue Classification of Whole-Slide Histological Images using Convolutional Neural Networks. - Rune Wetteland; Kjersti Engan; Trygve Eftestøl; Vebjørn Kvikstad; Emilius A. M. Janssen (ICPRAM, 2019)

Automatic Cardiac Rhythm Classification With Concurrent Manual Chest Compressions. - Iraia Isasi; Unai Irusta; Ali Bahrami Rad; Elisabete Aramendi; Morteza Zabihi; Trygve Eftestøl; Jo Kramer-Johansen; Lars Wik (IEEE Access, 2019)

A Multistage Algorithm for ECG Rhythm Analysis During Piston-Driven Mechanical Chest Compressions. - Iraia Isasi; Unai Irusta; Elisabete Aramendi; Unai Ayala; Erik Alonso; Jo Kramer-Johansen; Trygve Eftestøl (IEEE Trans. Biomed. Eng., 2019)

A Machine Learning Shock Decision Algorithm for Use During Piston-Driven Chest Compressions. - Iraia Isasi; Unai Irusta; Andoni Elola; Elisabete Aramendi; Unai Ayala; Erik Alonso; Jo Kramer-Johansen; Trygve Eftestøl (IEEE Trans. Biomed. Eng., 2019)

A Probabilistic Function to Model the Relationship between Quality of Chest Compressions and the Physiological Response for Patients in Cardiac Arrest. - Trygve Eftestøl; Svein E. Stokka; Jan Terje Kvaløy; Ali Bahrami Rad; Unai Irusta; Elisabete Aramendi; Erik Alonso; Trond Nordseth; Eirik Skogvoll; Lars Wik; Jo Kramer-Johansen (CinC, 2020)

Multimodal Biosignal Analysis Algorithm for the Classification of Cardiac Rhythms During Resuscitation. - Haizea Lasa; Unai Irusta; Trygve Eftestøl; Elisabete Aramendi; Ali Bahrami Rad; Jo Kramer-Johansen; Lars Wik (CinC, 2020)

Automatic identification of stimulation activities during newborn resuscitation using ECG and accelerometer signals. - Jarle Urdal; Kjersti Engan; Trygve Eftestøl; Valery Naranjo; Ingunn Anda Haug; Anita Yeconia; Hussein Kidanto; Hege Ersdal (Comput. Methods Programs Biomed., 2020)

Rhythm Analysis during Cardiopulmonary Resuscitation Using Convolutional Neural Networks. - Iraia Isasi; Unai Irusta; Elisabete Aramendi; Trygve Eftestøl; Jo Kramer-Johansen; Lars Wik (Entropy, 2020)

Activity Recognition From Newborn Resuscitation Videos. - Øyvind Meinich-Bache; Simon Lennart Austnes; Kjersti Engan; Ivar Austvoll; Trygve Eftestøl; Helge Myklebust; Simeon Kusulla; Hussein Kidanto; Hege Ersdal (IEEE J. Biomed. Health Informatics, 2020)

Object Detection During Newborn Resuscitation Activities. - Øyvind Meinich-Bache; Kjersti Engan; Ivar Austvoll; Trygve Eftestøl; Helge Myklebust; Ladislaus Blacy Yarrot; Hussein Kidanto; Hege Ersdal (IEEE J. Biomed. Health Informatics, 2020)

A Machine Learning-Based Pulse Detection Algorithm for Use During Cardiopulmonary Resuscitation. - Iraia Isasi; Erik Alonso; Unai Irusta; Elisabete Aramendi; Morteza Zabihi; Ali Bahrami Rad; Trygve Eftestøl; Jo Kramer-Johansen; Lars Wik (CinC, 2021)

Automatic Diagnostic Tool for Predicting Cancer Grade in Bladder Cancer Patients Using Deep Learning. - Rune Wetteland; Vebjørn Kvikstad; Trygve Eftestøl; Erlend Tøssebro; Melinda Lillesand; Emiel A. M. Janssen; Kjersti Engan (IEEE Access, 2021)

Self-transfer learning via patches: A prostate cancer triage approach based on bi-parametric MRI. - Alvaro Fernandez-Quilez; Trygve Eftestøl; Morten Goodwin; Svein Reidar Kjosavik; Ketil Oppedal (CoRR, 2021)

Adaptive Filtering Methods for ECG Waveform Restoration during Cardiopulmonary Resuscitation. - Alvaro Iza; Andoni Elola; Iraia Isasi; Elisabete Aramendi; Trygve Eftestøl; Jo Kramer-Johansen; Lars Wik (CinC, 2022)

Nested Multiple Instance Learning with Attention Mechanisms. - Saul Fuster; Trygve Eftestøl; Kjersti Engan (ICMLA, 2022)

Multi-Planar T2W MRI for an Improved Prostate Cancer Lesion Classification. - Alvaro Fernandez-Quilez; Trygve Eftestøl; Svein Reidar Kjosavik; Morten Goodwin; Ketil Oppedal (ISBI, 2022)

Contrasting Axial T2W MRI for Prostate Cancer Triage: A Self-Supervised Learning Approach. - Alvaro Fernandez-Quilez; Trygve Eftestøl; Svein Reidar Kjosavik; Morten Goodwin; Ketil Oppedal (ISBI, 2022)

Invasive Cancerous Area Detection in Non-Muscle Invasive Bladder Cancer Whole Slide Images. - Saul Fuster; Farbod Khoraminia; Umay Kiraz; Neel Kanwal; Vebjørn Kvikstad; Trygve Eftestøl; Tahlita C. M. Zuiverloon; Emiel A. M. Janssen; Kjersti Engan (IVMSP, 2022)

Improving prostate cancer triage with GAN-based synthetically generated prostate ADC MRI. - Alvaro Fernandez-Quilez; Omer Parvez; Trygve Eftestøl; Svein Reidar Kjosavik; Ketil Oppedal (Computer-Aided Diagnosis, 2022)

One class to rule them all: detection and classification of prostate tumors presence in bi-parametric MRI based on auto-encoders. - Alvaro Fernandez-Quilez; Habib Ullah; Trygve Eftestøl; Svein Reidar Kjosavik; Ketil Oppedal (Computer-Aided Diagnosis, 2022)

Learning to triage by learning to reconstruct: a generative self-supervised approach for prostate cancer based on axial T2w MRI. - Alvaro Fernandez-Quilez; Trygve Eftestøl; Svein Reidar Kjosavik; Ketil Oppedal (Computer-Aided Diagnosis, 2022)

A Convolutional Neural Network Approach for Interpreting Cardiac Rhythms from Resuscitation of Cardiac Arrest Patients. - Trygve Eftestøl; Mari A Hognestad; Sander A. Søndeland; Ali Bahrami Rad; Elisabete Aramendi; Lars Wik; Jo Kramer-Johansen (CinC, 2023)

Active Learning Based Domain Adaptation for Tissue Segmentation of Histopathological Images. - Saul Fuster; Farbod Khoraminia; Trygve Eftestøl; Tahlita C. M. Zuiverloon; Kjersti Engan (EUSIPCO, 2023)

Out-of-Distribution Multi-view auto-Encoders for Prostate Cancer Lesion Detection. - Alvaro Fernandez-Quilez; Linas Vidziunas; Ørjan Kløvfjell Thoresen; Ketil Oppedal; Svein Reidar Kjosavik; Trygve Eftestøl (ISBI, 2023)

3D Masked Modelling Advances Lesion Classification in Axial T2w Prostate MRI. - Alvaro Fernandez-Quilez; Christoffer Gabrielsen Andersen; Trygve Eftestøl; Svein Reidar Kjosavik; Ketil Oppedal (NLDL, 2023)

Vision Transformers for Small Histological Datasets Learned Through Knowledge Distillation. - Neel Kanwal; Trygve Eftestøl; Farbod Khoraminia; Tahlita C. M. Zuiverloon; Kjersti Engan (PAKDD (3), 2023)

Leveraging multi-view data without annotations for prostate MRI segmentation: A contrastive approach. - Tim Nikolass Lindeijer; Tord Martin Ytredal; Trygve Eftestøl; Tobias Nordström; Fredrik Jäderling; Martin Eklund; Alvaro Fernandez-Quilez (CoRR, 2023)

Reconsidering evaluation practices in modular systems: On the propagation of errors in MRI prostate cancer detection. - Erlend Sortland Rolfsnes; Philip Thangngat; Trygve Eftestøl; Tobias Nordström; Fredrik Jäderling; Martin Eklund; Alvaro Fernandez-Quilez (CoRR, 2023)

Automatic prediction of therapeutic activities during newborn resuscitation combining video and signal data. - Jarle Urdal; Kjersti Engan; Trygve Eftestøl; Øyvind Meinich-Bache; Ingunn Anda Haug; Paschal Francis Mdoe; Esto Mduma; Ladislaus Blacy Yarrot; Hussein Kidanto; Hege Ersdal (Biomed. Signal Process. Control., 2023)

Machine Learning Methods For Classification of Individuals With Coronary Artery Calcification. - Jakob Svane; Tomasz Wiktorski; Trygve Eftestøl; Stein Ørn (CBMS, 2024)

On Undesired Emergent Behaviors in Compound Prostate Cancer Detection Systems. - Erlend Sortland Rolfsnes; Philip Thangngat; Trygve Eftestøl; Tobias Nordström; Fredrik Jäderling; Martin Eklund; Alvaro Fernandez-Quilez (CaPTion@MICCAI, 2024)

Self-Contrastive Weakly Supervised Learning Framework for Prognostic Prediction Using Whole Slide Images. - Saul Fuster; Farbod Khoraminia; Julio Silva-Rodríguez; Umay Kiraz; Geert J. L. H. van Leenders; Trygve Eftestøl; Valery Naranjo; Emiel A. M. Janssen; Tahlita C. M. Zuiverloon; Kjersti Engan (CoRR, 2024)

NMGrad: Advancing Histopathological Bladder Cancer Grading with Weakly Supervised Deep Learning. - Saul Fuster; Umay Kiraz; Trygve Eftestøl; Emiel A. M. Janssen; Kjersti Engan (CoRR, 2024)

Analysis and knowledge extraction of newborn resuscitation activities from annotation files. - Mohanad Abukmeil; Øyvind Meinich-Bache; Trygve Eftestøl; Siren Rettedal; Helge Myklebust; Thomas Bailey Tysland; Hege Ersdal; Estomih Mduma; Kjersti Engan (BMC Medical Informatics Decis. Mak., 2024)