Trygve Eftestøl

92 papers B 3C 5Misc 3Journal 37Unranked 43

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Cueing Technologies in Parkinson's Disease: A Systematic Review. IEEE Access Matteo Iervasi, Jodi Maple-Grødem, Luigi Borzì, Guido Alves, Trygve Eftestøl, Florenc Demrozi
2024	J	`jnl`	Analysis and knowledge extraction of newborn resuscitation activities from annotation files. BMC Medical Informatics Decis. Mak. Mohanad Abukmeil, Øyvind Meinich-Bache, Trygve Eftestøl, Siren Rettedal, Helge Myklebust, Thomas Bailey Tysland, Hege Ersdal, Estomih Mduma, Kjersti Engan
2024	B	`conf`	Machine Learning Methods For Classification of Individuals With Coronary Artery Calcification. CBMS Jakob Svane, Tomasz Wiktorski, Trygve Eftestøl, Stein Ørn
2024	J	`jnl`	NMGrad: Advancing Histopathological Bladder Cancer Grading with Weakly Supervised Deep Learning. CoRR Saul Fuster, Umay Kiraz, Trygve Eftestøl, Emiel A. M. Janssen, Kjersti Engan
2024	—	`conf`	On Undesired Emergent Behaviors in Compound Prostate Cancer Detection Systems. CaPTion@MICCAI Erlend Sortland Rolfsnes, Philip Thangngat, Trygve Eftestøl, Tobias Nordström, Fredrik Jäderling, Martin Eklund, Alvaro Fernandez-Quilez
2024	J	`jnl`	Self-Contrastive Weakly Supervised Learning Framework for Prognostic Prediction Using Whole Slide Images. CoRR 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
2023	—	`conf`	3D Masked Modelling Advances Lesion Classification in Axial T2w Prostate MRI. NLDL Alvaro Fernandez-Quilez, Christoffer Gabrielsen Andersen, Trygve Eftestøl, Svein Reidar Kjosavik, Ketil Oppedal
2023	—	`conf`	A Convolutional Neural Network Approach for Interpreting Cardiac Rhythms from Resuscitation of Cardiac Arrest Patients. CinC Trygve Eftestøl, Mari A Hognestad, Sander A. Søndeland, Ali Bahrami Rad, Elisabete Aramendi, Lars Wik, Jo Kramer-Johansen
2023	—	`conf`	Active Learning Based Domain Adaptation for Tissue Segmentation of Histopathological Images. EUSIPCO Saul Fuster, Farbod Khoraminia, Trygve Eftestøl, Tahlita C. M. Zuiverloon, Kjersti Engan
2023	J	`jnl`	Active Learning Based Domain Adaptation for Tissue Segmentation of Histopathological Images. CoRR Saul Fuster, Farbod Khoraminia, Trygve Eftestøl, Tahlita C. M. Zuiverloon, Kjersti Engan
2023	J	`jnl`	Activity Recognition From Newborn Resuscitation Videos. CoRR Øyvind Meinich-Bache, Simon Lennart Austnes, Kjersti Engan, Ivar Austvoll, Trygve Eftestøl, Helge Myklebust, Simeon Kusulla, Hussein Kidanto, Hege Ersdal
2023	J	`jnl`	Automatic prediction of therapeutic activities during newborn resuscitation combining video and signal data. Biomed. Signal Process. Control. Jarle Urdal, Kjersti Engan, Trygve Eftestøl, Øyvind Meinich-Bache, Ingunn Anda Haug, Paschal Francis Mdoe, Esto Mduma, Ladislaus Blacy Yarrot, Hussein Kidanto, Hege Ersdal
2023	J	`jnl`	Leveraging multi-view data without annotations for prostate MRI segmentation: A contrastive approach. CoRR Tim Nikolass Lindeijer, Tord Martin Ytredal, Trygve Eftestøl, Tobias Nordström, Fredrik Jäderling, Martin Eklund, Alvaro Fernandez-Quilez
2023	J	`jnl`	Object Detection During Newborn Resuscitation Activities. CoRR Øyvind Meinich-Bache, Kjersti Engan, Ivar Austvoll, Trygve Eftestøl, Helge Myklebust, Ladislaus Blacy Yarrot, Hussein Kidanto, Hege Ersdal
2023	—	`conf`	Out-of-Distribution Multi-view auto-Encoders for Prostate Cancer Lesion Detection. ISBI Alvaro Fernandez-Quilez, Linas Vidziunas, Ørjan Kløvfjell Thoresen, Ketil Oppedal, Svein Reidar Kjosavik, Trygve Eftestøl
2023	J	`jnl`	Out-of-distribution multi-view auto-encoders for prostate cancer lesion detection. CoRR Alvaro Fernandez-Quilez, Linas Vidziunas, Ørjan Kløvfjell Thoresen, Ketil Oppedal, Svein Reidar Kjosavik, Trygve Eftestøl
2023	J	`jnl`	Reconsidering evaluation practices in modular systems: On the propagation of errors in MRI prostate cancer detection. CoRR Erlend Sortland Rolfsnes, Philip Thangngat, Trygve Eftestøl, Tobias Nordström, Fredrik Jäderling, Martin Eklund, Alvaro Fernandez-Quilez
2023	—	`conf`	Vision Transformers for Small Histological Datasets Learned Through Knowledge Distillation. PAKDD (3) Neel Kanwal, Trygve Eftestøl, Farbod Khoraminia, Tahlita C. M. Zuiverloon, Kjersti Engan
2023	J	`jnl`	Vision Transformers for Small Histological Datasets Learned through Knowledge Distillation. CoRR Neel Kanwal, Trygve Eftestøl, Farbod Khoraminia, Tahlita C. M. Zuiverloon, Kjersti Engan
2022	J	`jnl`	3D Masked Modelling Advances Lesion Classification in Axial T2w Prostate MRI. CoRR Alvaro Fernandez-Quilez, Christoffer Gabrielsen Andersen, Trygve Eftestøl, Svein Reidar Kjosavik, Ketil Oppedal
2022	—	`conf`	Adaptive Filtering Methods for ECG Waveform Restoration during Cardiopulmonary Resuscitation. CinC Alvaro Iza, Andoni Elola, Iraia Isasi, Elisabete Aramendi, Trygve Eftestøl, Jo Kramer-Johansen, Lars Wik
2022	—	`conf`	Contrasting Axial T2W MRI for Prostate Cancer Triage: A Self-Supervised Learning Approach. ISBI Alvaro Fernandez-Quilez, Trygve Eftestøl, Svein Reidar Kjosavik, Morten Goodwin, Ketil Oppedal
2022	—	`conf`	Improving prostate cancer triage with GAN-based synthetically generated prostate ADC MRI. Computer-Aided Diagnosis Alvaro Fernandez-Quilez, Omer Parvez, Trygve Eftestøl, Svein Reidar Kjosavik, Ketil Oppedal
2022	—	`conf`	Invasive Cancerous Area Detection in Non-Muscle Invasive Bladder Cancer Whole Slide Images. IVMSP Saul Fuster, Farbod Khoraminia, Umay Kiraz, Neel Kanwal, Vebjørn Kvikstad, Trygve Eftestøl, Tahlita C. M. Zuiverloon, Emiel A. M. Janssen, Kjersti Engan
2022	—	`conf`	Learning to triage by learning to reconstruct: a generative self-supervised approach for prostate cancer based on axial T2w MRI. Computer-Aided Diagnosis Alvaro Fernandez-Quilez, Trygve Eftestøl, Svein Reidar Kjosavik, Ketil Oppedal
2022	—	`conf`	Multi-Planar T2W MRI for an Improved Prostate Cancer Lesion Classification. ISBI Alvaro Fernandez-Quilez, Trygve Eftestøl, Svein Reidar Kjosavik, Morten Goodwin, Ketil Oppedal
2022	C	`conf`	Nested Multiple Instance Learning with Attention Mechanisms. ICMLA Saul Fuster, Trygve Eftestøl, Kjersti Engan
2022	—	`conf`	One class to rule them all: detection and classification of prostate tumors presence in bi-parametric MRI based on auto-encoders. Computer-Aided Diagnosis Alvaro Fernandez-Quilez, Habib Ullah, Trygve Eftestøl, Svein Reidar Kjosavik, Ketil Oppedal
2021	—	`conf`	A Machine Learning-Based Pulse Detection Algorithm for Use During Cardiopulmonary Resuscitation. CinC Iraia Isasi, Erik Alonso, Unai Irusta, Elisabete Aramendi, Morteza Zabihi, Ali Bahrami Rad, Trygve Eftestøl, Jo Kramer-Johansen, Lars Wik
2021	J	`jnl`	Automatic Diagnostic Tool for Predicting Cancer Grade in Bladder Cancer Patients Using Deep Learning. IEEE Access Rune Wetteland, Vebjørn Kvikstad, Trygve Eftestøl, Erlend Tøssebro, Melinda Lillesand, Emiel A. M. Janssen, Kjersti Engan
2021	J	`jnl`	Nested Multiple Instance Learning with Attention Mechanisms. CoRR Saul Fuster, Trygve Eftestøl, Kjersti Engan
2021	J	`jnl`	Self-transfer learning via patches: A prostate cancer triage approach based on bi-parametric MRI. CoRR Alvaro Fernandez-Quilez, Trygve Eftestøl, Morten Goodwin, Svein Reidar Kjosavik, Ketil Oppedal
2020	—	`conf`	A Probabilistic Function to Model the Relationship between Quality of Chest Compressions and the Physiological Response for Patients in Cardiac Arrest. CinC 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
2020	J	`jnl`	Activity Recognition From Newborn Resuscitation Videos. IEEE J. Biomed. Health Informatics Øyvind Meinich-Bache, Simon Lennart Austnes, Kjersti Engan, Ivar Austvoll, Trygve Eftestøl, Helge Myklebust, Simeon Kusulla, Hussein Kidanto, Hege Ersdal
2020	J	`jnl`	Automatic identification of stimulation activities during newborn resuscitation using ECG and accelerometer signals. Comput. Methods Programs Biomed. Jarle Urdal, Kjersti Engan, Trygve Eftestøl, Valery Naranjo, Ingunn Anda Haug, Anita Yeconia, Hussein Kidanto, Hege Ersdal
2020	—	`conf`	Multimodal Biosignal Analysis Algorithm for the Classification of Cardiac Rhythms During Resuscitation. CinC Haizea Lasa, Unai Irusta, Trygve Eftestøl, Elisabete Aramendi, Ali Bahrami Rad, Jo Kramer-Johansen, Lars Wik
2020	J	`jnl`	Object Detection During Newborn Resuscitation Activities. IEEE J. Biomed. Health Informatics Øyvind Meinich-Bache, Kjersti Engan, Ivar Austvoll, Trygve Eftestøl, Helge Myklebust, Ladislaus Blacy Yarrot, Hussein Kidanto, Hege Ersdal
2020	J	`jnl`	Rhythm Analysis during Cardiopulmonary Resuscitation Using Convolutional Neural Networks. Entropy Iraia Isasi, Unai Irusta, Elisabete Aramendi, Trygve Eftestøl, Jo Kramer-Johansen, Lars Wik
2019	J	`jnl`	A Machine Learning Shock Decision Algorithm for Use During Piston-Driven Chest Compressions. IEEE Trans. Biomed. Eng. Iraia Isasi, Unai Irusta, Andoni Elola, Elisabete Aramendi, Unai Ayala, Erik Alonso, Jo Kramer-Johansen, Trygve Eftestøl
2019	J	`jnl`	A Multistage Algorithm for ECG Rhythm Analysis During Piston-Driven Mechanical Chest Compressions. IEEE Trans. Biomed. Eng. Iraia Isasi, Unai Irusta, Elisabete Aramendi, Unai Ayala, Erik Alonso, Jo Kramer-Johansen, Trygve Eftestøl
2019	—	`conf`	A Robust Machine Learning Architecture for a Reliable ECG Rhythm Analysis during CPR. EMBC Iraia Isasi, Unai Irusta, Andoni Elola, Elisabete Aramendi, Trygve Eftestøl, Jo Kramer-Johansen, Lars Wik
2019	J	`jnl`	Automatic Cardiac Rhythm Classification With Concurrent Manual Chest Compressions. IEEE Access Iraia Isasi, Unai Irusta, Ali Bahrami Rad, Elisabete Aramendi, Morteza Zabihi, Trygve Eftestøl, Jo Kramer-Johansen, Lars Wik
2019	Misc	`conf`	Baseline Wander Removal and Isoelectric Correction in Electrocardiograms Using Clustering. ICASSP Kjell Le, Trygve Eftestøl, Kjersti Engan, Øyunn Kleiven, Stein Ørn
2019	C	`conf`	Multiclass Tissue Classification of Whole-Slide Histological Images using Convolutional Neural Networks. ICPRAM Rune Wetteland, Kjersti Engan, Trygve Eftestøl, Vebjørn Kvikstad, Emilius A. M. Janssen
2019	—	`conf`	Validation of Baseline Wander Removal and Isoelectric Correction in Electrocardiograms Using Clustering. EUSIPCO Kjell Le, Trygve Eftestøl, Kjersti Engan, Øyunn Kleiven, Stein Ørn
2018	—	`conf`	An Accurate Shock/No-Shock Decision Algorithm for Use During Piston-Driven Chest Compressions. CinC Iraia Isasi, Unai Irusta, Elisabete Aramendi, Unai Ayala, Erik Alonso, Jo Kramer-Johansen, Trygve Eftestøl
2018	—	`conf`	ECG Rhythm Analysis During Manual Chest Compressions Using an Artefact Removal Filter and Random Forest Classifiers. CinC Iraia Isasi, Ali Bahrami Rad, Unai Irusta, Morteza Zabihi, Elisabete Aramendi, Trygve Eftestøl, Jo Kramer-Johansen, Lars Wik
2018	C	`conf`	ECG Signal Analysis for Troponin Level Assessment and Coronary Artery Disease Detection: the NEEDED Study 2014. FedCSIS Dominika Dlugosz, Aleksandra Królak, Trygve Eftestøl, Stein Ørn, Tomasz Wiktorski, Kay Raymond Jenssen Oskal, Martin Nygård
2018	—	`conf`	High Frequency Noise Detection and Handling in ECG Signals. EUSIPCO Kjell Le, Trygve Eftestøl, Kjersti Engan, Stein Ørn, Øyunn Kleiven
2018	—	`conf`	Invariant Mean Electrical Axis in Electrocardiogram. CinC Kjell Le, Trygve Eftestøl, Kjersti Engan, Øyunn Kleiven, Stein Ørn
2018	J	`jnl`	The North Sea Bicycle Race ECG Project: Time-Domain Analysis. J. Autom. Mob. Robotics Intell. Syst. Dominika Dlugosz, Trygve Eftestøl, Aleksandra Królak, Tomasz Wiktorski, Stein Ørn
2017	J	`jnl`	Automatic Detection and Parameterization of Manual Bag-Mask Ventilation on Newborns. IEEE J. Biomed. Health Informatics Huyen Vu, Trygve Eftestøl, Kjersti Engan, Joar Eilevstjønn, Ladislaus Blacy Yarrot, Jørgen E. Linde, Hege Langli Ersdal
2017	J	`jnl`	Automatic classification of resuscitation activities on birth-asphyxiated newborns using acceleration and ECG signals. Biomed. Signal Process. Control. Huyen Vu, Kjersti Engan, Trygve Eftestøl, Aggelos K. Katsaggelos, Samwel Jatosh, Simeon Kusulla, Estomih Mduma, Hussein Kidanto, Hege Ersdal
2017	J	`jnl`	Classifying Alzheimer's disease, Lewy body dementia, and normal controls using 3D texture analysis in magnetic resonance images. Biomed. Signal Process. Control. Ketil Oppedal, Kjersti Engan, Trygve Eftestøl, Mona K. Beyer, Dag Aarsland
2017	—	`conf`	Detecting Chest Compression Depth Using a Smartphone Camera and Motion Segmentation. SCIA (2) Øyvind Meinich-Bache, Kjersti Engan, Trygve Eftestøl, Ivar Austvoll
2017	J	`jnl`	ECG-Based Classification of Resuscitation Cardiac Rhythms for Retrospective Data Analysis. IEEE Trans. Biomed. Eng. Ali Bahrami Rad, Trygve Eftestøl, Kjersti Engan, Unai Irusta, Jan Terje Kvaløy, Jo Kramer-Johansen, Lars Wik, Aggelos K. Katsaggelos
2017	—	`conf`	Removing Piston-driven Mechanical Chest Compression Artefacts from the ECG. CinC Iraia Isasi, Unai Irusta, Elisabete Aramendi, Unai Ayala, Erik Alonso, Jo Kramer-Johansen, Trygve Eftestøl
2017	—	`conf`	Segmentation of coronary arteries from X-ray angiography sequences during contrast fluid propagation by image registration. GlobalSIP Mahdieh Khanmohammadi, Kjersti Engan, Trygve Eftestøl, C. Soland, A. I. Larsen
2017	—	`conf`	Signal processing and classification for identification of clinically important parameters during neonatal resuscitation. ICSIPA Jarle Urdal, Kjersti Engan, Trygve Eftestøl, Hussein Kidanto, Ladislaus Blacy Yarrot, Joar Eilevstjønn, Hege Ersdal
2017	C	`conf`	The North Sea Bicycle Race ECG Project: Time-Domain Analysis. FedCSIS Dominika Dlugosz, Trygve Eftestøl, Stein Ørn, Tomasz Wiktorski, Aleksandra Królak
2016	C	`conf`	Detection of Activities During Newborn Resuscitation Based on Short-Time Energy of Acceleration Signal. ICISP Huyen Vu, Trygve Eftestøl, Kjersti Engan, Joar Eilevstjønn, Ladislaus Blacy Yarrot, Jørgen E. Linde, Hege Ersdal
2015	—	`conf`	Automatic Detection of Microvascular Obstruction in Patients with Myocardial Infarction. CinC Trygve Eftestøl, Erlend Singsaas, Kjersti Engan, Leik Woie, Stein Ørn
2015	J	`jnl`	Cardiac magnetic resonance image-based classification of the risk of arrhythmias in post-myocardial infarction patients. Artif. Intell. Medicine Lasya Priya Kotu, Kjersti Engan, Reza Borhani, Aggelos K. Katsaggelos, Stein Ørn, Leik Woie, Trygve Eftestøl
2015	J	`jnl`	Classifying Dementia Using Local Binary Patterns from Different Regions in Magnetic Resonance Images. Int. J. Biomed. Imaging Ketil Oppedal, Trygve Eftestøl, Kjersti Engan, Mona K. Beyer, Dag Aarsland
2015	—	`conf`	Exploratory Analysis of Ventilation Signals from Resuscitation Data of Newborns. BIOSIGNALS Huyen Vu, Trygve Eftestøl, Kjersti Engan, Joar Eilevstjønn, Jørgen E. Linde, Hege Ersdal
2015	—	`conf`	Exploring the Relationship Between Characteristics of Ventilation Performance and Response of Newborns During Resuscitation. BIOSTEC (Selected Papers) Huyen Vu, Trygve Eftestøl, Kjersti Engan, Joar Eilevstjønn, Ladislaus Blacy Yarrot, Jørgen E. Linde, Hege Ersdal
2015	—	`conf`	Segmentation of LG Enhanced Cardiac MRI . BIOIMAGING Kjersti Engan, Valery Naranjo, Trygve Eftestøl, Stein Ørn, Leik Woie
2014	B	`conf`	A texture-based probability mapping for localisation of clinically important cardiac segments in the myocardium in cardiac magnetic resonance images from myocardial infarction patients. ICIP Trygve Eftestøl, Frode Måløy, Kjersti Engan, Lasya Priya Kotu, Leik Woie, Stein Ørn
2014	—	`conf`	Defining Angular and Radial Positions and Parameters for Myocardial Pixels in Cardiac MR Images. CinC Kjersti Engan, Leik Woie, Trygve Eftestøl
2014	—	`conf`	Exploratory Analysis of Heart Rate Changes in Newborns to Investigate the Effectiveness of Bag-Mask Ventilation. CinC Huyen Vu, Trygve Eftestøl, Kjersti Engan, Joar Eilevstjønn, Jørgen E. Linde, Hege Ersdal
2014	—	`conf`	Filtering Chest Compression Artifacts Improves the Performance of VF-detection Parameters. CinC Unai Ayala, Unai Irusta, Jesús Ruiz, Felipe Alonso Atienza, Erik Alonso, Digna M. González-Otero, Jo Kramer-Johansen, Henning Naas, Trygve Eftestøl
2014	Misc	`conf`	Nearest-manifold classification approach for cardiac arrest rhythm interpretation during resuscitation. ICASSP Ali Bahrami Rad, Trygve Eftestøl, Jan Terje Kvaløy, Unai Ayala, Jo Kramer-Johansen, Kjersti Engan
2013	—	`conf`	A New Algorithm to Diagnose during Chest Compressions: Effects on Cardiopulmonary Resuscitation Delivery. CinC Unai Ayala, Unai Irusta, Jesús Ruiz, Digna M. González-Otero, Erik Alonso, Jo Kramer-Johansen, Trygve Eftestøl
2013	—	`conf`	A Simple Impedance-Based Method for Ventilation Detection During Cardiopulmonary Resuscitation. CinC Digna M. González-Otero, Erik Alonso, Jesús Ruiz, Elisabete Aramendi, Sofía Ruiz de Gauna, Unai Ayala, Jo Kramer-Johansen, Trygve Eftestøl
2013	—	`conf`	Automatic Segmentation of the Epicardium in Late Gadolinium Enhanced Cardiac MR Images. CinC Kjersti Engan, Valery Naranjo, Trygve Eftestøl, Stein Ørn, Leik Woie
2013	—	`conf`	Measuring the Degree of Fibrosity in Myocardial Scars fromLate Gadolinium-Enhanced Cardiovascular Magnetic Resonance Images. CinC Frode Måløy, Leik Woie, Trygve Eftestøl, Kjersti Engan, Stein Ørn
2013	—	`conf`	Probabilistic Classification Approaches for Cardiac Arrest Rhythm Interpretation during Resuscitation. CinC Ali Bahrami Rad, Trygve Eftestøl, Jan Terje Kvaløy, Unai Ayala, Jo Kramer-Johansen, Kjersti Engan
2012	J	`jnl`	A Mixture Model Classifier and its Application on the Biomedical Time Series. Appl. Artif. Intell. Zhijun Yang, Zheng Rong Yang, Trygve Eftestøl, Petter Andreas Steen, Weiping Lu, Robert G. Harrison
2012	—	`conf`	Local Binary Patterns used on Cardiac MRI to classify high and low risk patient groups. EUSIPCO Lasya Priya Kotu, Kjersti Engan, Trygve Eftestøl, Leik Woie, Stein Ørn, Aggelos K. Katsaggelos
2012	—	`conf`	Using local binary pattern to classify dementia in MRI. ISBI Ketil Oppedal, Kjersti Engan, Dag Aarsland, Mona K. Beyer, Ole-Bjorn Tysnes, Trygve Eftestøl
2011	—	`conf`	Segmentation of scarred and non-scarred myocardium in LG enhanced CMR images using intensity-based textural analysis. EMBC Lasya Priya Kotu, Kjersti Engan, Trygve Eftestøl, Stein Ørn, Leik Woie
2011	B	`conf`	Texture classification of scarred and non-scarred myocardium in cardiac MRI using learned dictionaries. ICIP Lasya Priya Kotu, Kjersti Engan, Trygve Eftestøl, Stein Ørn, Leik Woie
2009	J	`jnl`	A Least Mean-Square Filter for the Estimation of the Cardiopulmonary Resuscitation Artifact Based on the Frequency of the Compressions. IEEE Trans. Biomed. Eng. Unai Irusta, Jesús Ruiz, Sofía Ruiz de Gauna, Trygve Eftestøl, Jo Kramer-Johansen
2009	—	`conf`	An Integrated Information Sharing Structure for Resuscitation Data. AINA Workshops Kari Anne Haaland Thorsen, Trygve Eftestøl, Chunming Rong, Petter Andreas Steen
2008	J	`jnl`	Automatic Identification of Return of Spontaneous Circulation During Cardiopulmonary Resuscitation. IEEE Trans. Biomed. Eng. Martin Risdal, Sven Ole Aase, Jo Kramer-Johansen, Trygve Eftestøl
2008	—	`conf`	Splice Site Prediction Using Artificial Neural Networks. CIBB Øystein Johansen, Tom Ryen, Trygve Eftestøl, Thomas Kjosmoen, Peter Ruoff
2007	J	`jnl`	Impedance-Based Ventilation Detection During Cardiopulmonary Resuscitation. IEEE Trans. Biomed. Eng. Martin Risdal, Sven Ole Aase, Mette Stavland, Trygve Eftestøl
2002	Misc	`conf`	Multichannel adaptive filtering using an efficient matching pursuit-like algorithm for removal of CPR artifacts in ECG signals. ICASSP Joar Eilevstjønn, John Håkon Husøy, Trygve Eftestøl, Sven Ole Aase, Petter Andreas Steen
2002	J	`jnl`	Removal of cardiopulmonary resuscitation artifacts from human ECG using an efficient matching pursuit-like algorithm. IEEE Trans. Biomed. Eng. John Håkon Husøy, Joar Eilevstjønn, Trygve Eftestøl, Sven Ole Aase, Helge Myklebust, Petter Andreas Steen
2001	J	`jnl`	Temporal Evolution of nonlinear Dynamics in Ventricular Arrhythmia. Int. J. Bifurc. Chaos Michael Small, Dejin Yu, Robert G. Harrison, Richard H. Clayton, Trygve Eftestøl, Kjetil Sunde, Petter Andreas Steen
2000	J	`jnl`	CPR artifact removal from human ECG using optimal multichannel filtering. IEEE Trans. Biomed. Eng. Sven Ole Aase, Trygve Eftestøl, John Håkon Husøy, Kjetil Sunde, Petter Andreas Steen
2000	—	`—`	Signal analysis of out-of-hospital cardiac arrest electrocardiograms for decision support during cardiopulmonary resuscitation. Trygve Eftestøl