Trygve Eftestøl

ORCID

Publication Activity (10 Years)

Years Active: 2000-2024
Publications (10 Years): 57

Top Venues

CoRR

CinC

Biomed. Signal Process. Control.

ISBI

Norwegian University of Science and Technology, Trondheim, Norway (PHD)

Education History

Norwegian University of Science and Technology, Trondheim, Norway

PHD

Publications

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
Self-Contrastive Weakly Supervised Learning Framework for Prognostic Prediction Using Whole Slide Images. CoRR (2024)
Saul Fuster, Umay Kiraz, Trygve Eftestøl, Emiel A. M. Janssen, Kjersti Engan
NMGrad: Advancing Histopathological Bladder Cancer Grading with Weakly Supervised Deep Learning. CoRR (2024)
Jakob Svane, Tomasz Wiktorski, Trygve Eftestøl, Stein Ørn
Machine Learning Methods For Classification of Individuals With Coronary Artery Calcification. CBMS (2024)
Neel Kanwal, Trygve Eftestøl, Farbod Khoraminia, Tahlita C. M. Zuiverloon, Kjersti Engan
Vision Transformers for Small Histological Datasets Learned through Knowledge Distillation. CoRR (2023)
Erlend Sortland Rolfsnes, Philip Thangngat, Trygve Eftestøl, Tobias Nordström, Fredrik Jäderling, Martin Eklund, Alvaro Fernandez-Quilez
Reconsidering evaluation practices in modular systems: On the propagation of errors in MRI prostate cancer detection. CoRR (2023)
Alvaro Fernandez-Quilez, Linas Vidziunas, Ørjan Kløvfjell Thoresen, Ketil Oppedal, Svein Reidar Kjosavik, Trygve Eftestøl
Out-of-Distribution Multi-view auto-Encoders for Prostate Cancer Lesion Detection. ISBI (2023)
Tim Nikolass Lindeijer, Tord Martin Ytredal, Trygve Eftestøl, Tobias Nordström, Fredrik Jäderling, Martin Eklund, Alvaro Fernandez-Quilez
Leveraging multi-view data without annotations for prostate MRI segmentation: A contrastive approach. CoRR (2023)
Saul Fuster, Farbod Khoraminia, Trygve Eftestøl, Tahlita C. M. Zuiverloon, Kjersti Engan
Active Learning Based Domain Adaptation for Tissue Segmentation of Histopathological Images. CoRR (2023)
Saul Fuster, Farbod Khoraminia, Trygve Eftestøl, Tahlita C. M. Zuiverloon, Kjersti Engan
Active Learning Based Domain Adaptation for Tissue Segmentation of Histopathological Images. EUSIPCO (2023)
Alvaro Fernandez-Quilez, Linas Vidziunas, Ørjan Kløvfjell Thoresen, Ketil Oppedal, Svein Reidar Kjosavik, Trygve Eftestøl
Out-of-distribution multi-view auto-encoders for prostate cancer lesion detection. CoRR (2023)
Neel Kanwal, Trygve Eftestøl, Farbod Khoraminia, Tahlita C. M. Zuiverloon, Kjersti Engan
Vision Transformers for Small Histological Datasets Learned Through Knowledge Distillation. PAKDD (3) (2023)
Jarle Urdal, Kjersti Engan, Trygve Eftestøl, Øyvind Meinich-Bache, Ingunn Anda Haug, Paschal Francis Mdoe, Estomih Mduma, Ladislaus Blacy Yarrot, Hussein Kidanto, Hege Ersdal
Automatic prediction of therapeutic activities during newborn resuscitation combining video and signal data. Biomed. Signal Process. Control. 86 (Part C) (2023)
Alvaro Fernandez-Quilez, Christoffer Gabrielsen Andersen, Trygve Eftestøl, Svein Reidar Kjosavik, Ketil Oppedal
3D Masked Modelling Advances Lesion Classification in Axial T2w Prostate MRI. NLDL (2023)
Øyvind Meinich-Bache, Simon Lennart Austnes, Kjersti Engan, Ivar Austvoll, Trygve Eftestøl, Helge Myklebust, Simeon Kusulla, Hussein Kidanto, Hege Ersdal
Activity Recognition From Newborn Resuscitation Videos. CoRR (2023)
Trygve Eftestøl, Mari A Hognestad, Sander A. Søndeland, Ali Bahrami Rad, Elisabete Aramendi, Lars Wik, Jo Kramer-Johansen
A Convolutional Neural Network Approach for Interpreting Cardiac Rhythms from Resuscitation of Cardiac Arrest Patients. CinC (2023)
Øyvind Meinich-Bache, Kjersti Engan, Ivar Austvoll, Trygve Eftestøl, Helge Myklebust, Ladislaus Blacy Yarrot, Hussein Kidanto, Hege Ersdal
Object Detection During Newborn Resuscitation Activities. CoRR (2023)
Alvaro Fernandez-Quilez, Trygve Eftestøl, Svein Reidar Kjosavik, Ketil Oppedal
Learning to triage by learning to reconstruct: a generative self-supervised approach for prostate cancer based on axial T2w MRI. Medical Imaging: Computer-Aided Diagnosis (2022)
Alvaro Fernandez-Quilez, Habib Ullah, Trygve Eftestøl, Svein Reidar Kjosavik, Ketil Oppedal
One class to rule them all: detection and classification of prostate tumors presence in bi-parametric MRI based on auto-encoders. Medical Imaging: Computer-Aided Diagnosis (2022)
Saul Fuster, Trygve Eftestøl, Kjersti Engan
Nested Multiple Instance Learning with Attention Mechanisms. ICMLA (2022)
Alvaro Fernandez-Quilez, Trygve Eftestøl, Svein Reidar Kjosavik, Morten Goodwin, Ketil Oppedal
Contrasting Axial T2W MRI for Prostate Cancer Triage: A Self-Supervised Learning Approach. ISBI (2022)
Alvaro Fernandez-Quilez, Omer Parvez, Trygve Eftestøl, Svein Reidar Kjosavik, Ketil Oppedal
Improving prostate cancer triage with GAN-based synthetically generated prostate ADC MRI. Medical Imaging: Computer-Aided Diagnosis (2022)
Alvaro Fernandez-Quilez, Christoffer Gabrielsen Andersen, Trygve Eftestøl, Svein Reidar Kjosavik, Ketil Oppedal
3D Masked Modelling Advances Lesion Classification in Axial T2w Prostate MRI. CoRR (2022)
Alvaro Fernandez-Quilez, Trygve Eftestøl, Svein Reidar Kjosavik, Morten Goodwin, Ketil Oppedal
Multi-Planar T2W MRI for an Improved Prostate Cancer Lesion Classification. ISBI (2022)
Saul Fuster, Farbod Khoraminia, Umay Kiraz, Neel Kanwal, Vebjørn Kvikstad, Trygve Eftestøl, Tahlita C. M. Zuiverloon, Emiel A. M. Janssen, Kjersti Engan
Invasive Cancerous Area Detection in Non-Muscle Invasive Bladder Cancer Whole Slide Images. IVMSP (2022)
Alvaro Fernandez-Quilez, Trygve Eftestøl, Morten Goodwin, Svein Reidar Kjosavik, Ketil Oppedal
Self-transfer learning via patches: A prostate cancer triage approach based on bi-parametric MRI. CoRR (2021)
Iraia Isasi, Erik Alonso, Unai Irusta, Elisabete Aramendi, Morteza Zabihi, Ali Bahrami Rad, Trygve Eftestøl, Jo Kramer-Johansen, Lars Wik
A Machine Learning-Based Pulse Detection Algorithm for Use During Cardiopulmonary Resuscitation. CinC (2021)
Rune Wetteland, Vebjørn Kvikstad, Trygve Eftestøl, Erlend Tøssebro, Melinda Lillesand, Emiel A. M. Janssen, Kjersti Engan
Automatic Diagnostic Tool for Predicting Cancer Grade in Bladder Cancer Patients Using Deep Learning. IEEE Access 9 (2021)
Saul Fuster, Trygve Eftestøl, Kjersti Engan
Nested Multiple Instance Learning with Attention Mechanisms. CoRR (2021)
Øyvind Meinich-Bache, Kjersti Engan, Ivar Austvoll, Trygve Eftestøl, Helge Myklebust, Ladislaus Blacy Yarrot, Hussein Kidanto, Hege Ersdal
Object Detection During Newborn Resuscitation Activities. IEEE J. Biomed. Health Informatics 24 (3) (2020)
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
A Probabilistic Function to Model the Relationship between Quality of Chest Compressions and the Physiological Response for Patients in Cardiac Arrest. CinC (2020)
Haizea Lasa, Unai Irusta, Trygve Eftestøl, Elisabete Aramendi, Ali Bahrami Rad, Jo Kramer-Johansen, Lars Wik
Multimodal Biosignal Analysis Algorithm for the Classification of Cardiac Rhythms During Resuscitation. CinC (2020)
Iraia Isasi, Unai Irusta, Elisabete Aramendi, Trygve Eftestøl, Jo Kramer-Johansen, Lars Wik
Rhythm Analysis during Cardiopulmonary Resuscitation Using Convolutional Neural Networks. Entropy 22 (6) (2020)
Øyvind Meinich-Bache, Simon Lennart Austnes, Kjersti Engan, Ivar Austvoll, Trygve Eftestøl, Helge Myklebust, Simeon Kusulla, Hussein Kidanto, Hege Ersdal
Activity Recognition From Newborn Resuscitation Videos. IEEE J. Biomed. Health Informatics 24 (11) (2020)
Jarle Urdal, Kjersti Engan, Trygve Eftestøl, Valery Naranjo, Ingunn Anda Haug, Anita Yeconia, Hussein Kidanto, Hege Ersdal
Automatic identification of stimulation activities during newborn resuscitation using ECG and accelerometer signals. Comput. Methods Programs Biomed. 193 (2020)
Kjell Le, Trygve Eftestøl, Kjersti Engan, Øyunn Kleiven, Stein Ørn
Validation of Baseline Wander Removal and Isoelectric Correction in Electrocardiograms Using Clustering. EUSIPCO (2019)
Kjell Le, Trygve Eftestøl, Kjersti Engan, Øyunn Kleiven, Stein Ørn
Baseline Wander Removal and Isoelectric Correction in Electrocardiograms Using Clustering. ICASSP (2019)
Iraia Isasi, Unai Irusta, Ali Bahrami Rad, Elisabete Aramendi, Morteza Zabihi, Trygve Eftestøl, Jo Kramer-Johansen, Lars Wik
Automatic Cardiac Rhythm Classification With Concurrent Manual Chest Compressions. IEEE Access 7 (2019)
Iraia Isasi, Unai Irusta, Andoni Elola, Elisabete Aramendi, Trygve Eftestøl, Jo Kramer-Johansen, Lars Wik
A Robust Machine Learning Architecture for a Reliable ECG Rhythm Analysis during CPR. EMBC (2019)
Iraia Isasi, Unai Irusta, Andoni Elola, Elisabete Aramendi, Unai Ayala, Erik Alonso, Jo Kramer-Johansen, Trygve Eftestøl
A Machine Learning Shock Decision Algorithm for Use During Piston-Driven Chest Compressions. IEEE Trans. Biomed. Eng. 66 (6) (2019)
Rune Wetteland, Kjersti Engan, Trygve Eftestøl, Vebjørn Kvikstad, Emilius A. M. Janssen
Multiclass Tissue Classification of Whole-Slide Histological Images using Convolutional Neural Networks. ICPRAM (2019)
Iraia Isasi, Unai Irusta, Elisabete Aramendi, Unai Ayala, Erik Alonso, Jo Kramer-Johansen, Trygve Eftestøl
A Multistage Algorithm for ECG Rhythm Analysis During Piston-Driven Mechanical Chest Compressions. IEEE Trans. Biomed. Eng. 66 (1) (2019)
Iraia Isasi, Ali Bahrami Rad, Unai Irusta, Morteza Zabihi, Elisabete Aramendi, Trygve Eftestøl, Jo Kramer-Johansen, Lars Wik
ECG Rhythm Analysis During Manual Chest Compressions Using an Artefact Removal Filter and Random Forest Classifiers. CinC (2018)
Dominika Dlugosz, Trygve Eftestøl, Aleksandra Królak, Tomasz Wiktorski, Stein Ørn
The North Sea Bicycle Race ECG Project: Time-Domain Analysis. J. Autom. Mob. Robotics Intell. Syst. 12 (1) (2018)
Dominika Dlugosz, Aleksandra Królak, Trygve Eftestøl, Stein Ørn, Tomasz Wiktorski, Kay Raymond Jenssen Oskal, Martin Nygård
ECG Signal Analysis for Troponin Level Assessment and Coronary Artery Disease Detection: the NEEDED Study 2014. FedCSIS (2018)
Kjell Le, Trygve Eftestøl, Kjersti Engan, Stein Ørn, Øyunn Kleiven
High Frequency Noise Detection and Handling in ECG Signals. EUSIPCO (2018)
Iraia Isasi, Unai Irusta, Elisabete Aramendi, Unai Ayala, Erik Alonso, Jo Kramer-Johansen, Trygve Eftestøl
An Accurate Shock/No-Shock Decision Algorithm for Use During Piston-Driven Chest Compressions. CinC (2018)
Kjell Le, Trygve Eftestøl, Kjersti Engan, Øyunn Kleiven, Stein Ørn
Invariant Mean Electrical Axis in Electrocardiogram. CinC (2018)
Dominika Dlugosz, Trygve Eftestøl, Stein Ørn, Tomasz Wiktorski, Aleksandra Królak
The North Sea Bicycle Race ECG Project: Time-Domain Analysis. FedCSIS (2017)
Iraia Isasi, Unai Irusta, Elisabete Aramendi, Unai Ayala, Erik Alonso, Jo Kramer-Johansen, Trygve Eftestøl
Removing Piston-driven Mechanical Chest Compression Artefacts from the ECG. CinC (2017)
Ali Bahrami Rad, Trygve Eftestøl, Kjersti Engan, Unai Irusta, Jan Terje Kvaløy, Jo Kramer-Johansen, Lars Wik, Aggelos K. Katsaggelos
ECG-Based Classification of Resuscitation Cardiac Rhythms for Retrospective Data Analysis. IEEE Trans. Biomed. Eng. 64 (10) (2017)
Ketil Oppedal, Kjersti Engan, Trygve Eftestøl, Mona K. Beyer, Dag Aarsland
Classifying Alzheimer's disease, Lewy body dementia, and normal controls using 3D texture analysis in magnetic resonance images. Biomed. Signal Process. Control. 33 (2017)
Huyen Vu, Kjersti Engan, Trygve Eftestøl, Aggelos K. Katsaggelos, Samwel Jatosh, Simeon Kusulla, Estomih Mduma, Hussein Kidanto, Hege Ersdal
Automatic classification of resuscitation activities on birth-asphyxiated newborns using acceleration and ECG signals. Biomed. Signal Process. Control. 36 (2017)
Mahdieh Khanmohammadi, Kjersti Engan, Trygve Eftestøl, C. Soland, A. I. Larsen
Segmentation of coronary arteries from X-ray angiography sequences during contrast fluid propagation by image registration. GlobalSIP (2017)
Huyen Vu, Trygve Eftestøl, Kjersti Engan, Joar Eilevstjønn, Ladislaus Blacy Yarrot, Jørgen E. Linde, Hege Langli Ersdal
Automatic Detection and Parameterization of Manual Bag-Mask Ventilation on Newborns. IEEE J. Biomed. Health Informatics 21 (2) (2017)
Jarle Urdal, Kjersti Engan, Trygve Eftestøl, Hussein Kidanto, Ladislaus Blacy Yarrot, Joar Eilevstjønn, Hege Ersdal
Signal processing and classification for identification of clinically important parameters during neonatal resuscitation. ICSIPA (2017)
Øyvind Meinich-Bache, Kjersti Engan, Trygve Eftestøl, Ivar Austvoll
Detecting Chest Compression Depth Using a Smartphone Camera and Motion Segmentation. SCIA (2) (2017)
Huyen Vu, Trygve Eftestøl, Kjersti Engan, Joar Eilevstjønn, Ladislaus Blacy Yarrot, Jørgen E. Linde, Hege Ersdal
Detection of Activities During Newborn Resuscitation Based on Short-Time Energy of Acceleration Signal. ICISP (2016)
Kjersti Engan, Valery Naranjo, Trygve Eftestøl, Stein Ørn, Leik Woie
Segmentation of LG Enhanced Cardiac MRI . BIOIMAGING (2015)
Trygve Eftestøl, Erlend Singsaas, Kjersti Engan, Leik Woie, Stein Ørn
Automatic Detection of Microvascular Obstruction in Patients with Myocardial Infarction. CinC (2015)
Lasya Priya Kotu, Kjersti Engan, Reza Borhani, Aggelos K. Katsaggelos, Stein Ørn, Leik Woie, Trygve Eftestøl
Cardiac magnetic resonance image-based classification of the risk of arrhythmias in post-myocardial infarction patients. Artif. Intell. Medicine 64 (3) (2015)
Huyen Vu, Trygve Eftestøl, Kjersti Engan, Joar Eilevstjønn, Ladislaus Blacy Yarrot, Jørgen E. Linde, Hege Ersdal
Exploring the Relationship Between Characteristics of Ventilation Performance and Response of Newborns During Resuscitation. BIOSTEC (Selected Papers) (2015)
Huyen Vu, Trygve Eftestøl, Kjersti Engan, Joar Eilevstjønn, Jørgen E. Linde, Hege Ersdal
Exploratory Analysis of Ventilation Signals from Resuscitation Data of Newborns. BIOSIGNALS (2015)
Ketil Oppedal, Trygve Eftestøl, Kjersti Engan, Mona K. Beyer, Dag Aarsland
Classifying Dementia Using Local Binary Patterns from Different Regions in Magnetic Resonance Images. Int. J. Biomed. Imaging 2015 (2015)
Ali Bahrami Rad, Trygve Eftestøl, Jan Terje Kvaløy, Unai Ayala, Jo Kramer-Johansen, Kjersti Engan
Nearest-manifold classification approach for cardiac arrest rhythm interpretation during resuscitation. ICASSP (2014)
Unai Ayala, Unai Irusta, Jesús Ruiz, Felipe Alonso Atienza, Erik Alonso, Digna M. González-Otero, Jo Kramer-Johansen, Henning Naas, Trygve Eftestøl
Filtering Chest Compression Artifacts Improves the Performance of VF-detection Parameters. CinC (2014)
Trygve Eftestøl, Frode Måløy, Kjersti Engan, Lasya Priya Kotu, Leik Woie, Stein Ørn
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 (2014)
Huyen Vu, Trygve Eftestøl, Kjersti Engan, Joar Eilevstjønn, Jørgen E. Linde, Hege Ersdal
Exploratory Analysis of Heart Rate Changes in Newborns to Investigate the Effectiveness of Bag-Mask Ventilation. CinC (2014)
Kjersti Engan, Leik Woie, Trygve Eftestøl
Defining Angular and Radial Positions and Parameters for Myocardial Pixels in Cardiac MR Images. CinC (2014)
Unai Ayala, Unai Irusta, Jesús Ruiz, Digna M. González-Otero, Erik Alonso, Jo Kramer-Johansen, Trygve Eftestøl
A New Algorithm to Diagnose during Chest Compressions: Effects on Cardiopulmonary Resuscitation Delivery. CinC (2013)
Ali Bahrami Rad, Trygve Eftestøl, Jan Terje Kvaløy, Unai Ayala, Jo Kramer-Johansen, Kjersti Engan
Probabilistic Classification Approaches for Cardiac Arrest Rhythm Interpretation during Resuscitation. CinC (2013)
Digna M. González-Otero, Erik Alonso, Jesús Ruiz, Elisabete Aramendi, Sofía Ruiz de Gauna, Unai Ayala, Jo Kramer-Johansen, Trygve Eftestøl
A Simple Impedance-Based Method for Ventilation Detection During Cardiopulmonary Resuscitation. CinC (2013)
Frode Måløy, Leik Woie, Trygve Eftestøl, Kjersti Engan, Stein Ørn
Measuring the Degree of Fibrosity in Myocardial Scars fromLate Gadolinium-Enhanced Cardiovascular Magnetic Resonance Images. CinC (2013)
Kjersti Engan, Valery Naranjo, Trygve Eftestøl, Stein Ørn, Leik Woie
Automatic Segmentation of the Epicardium in Late Gadolinium Enhanced Cardiac MR Images. CinC (2013)
Ketil Oppedal, Kjersti Engan, Dag Aarsland, Mona K. Beyer, Ole-Bjorn Tysnes, Trygve Eftestøl
Using local binary pattern to classify dementia in MRI. ISBI (2012)
Zhijun Yang, Zheng Rong Yang, Trygve Eftestøl, Petter Andreas Steen, Weiping Lu, Robert G. Harrison
A Mixture Model Classifier and its Application on the Biomedical Time Series. Appl. Artif. Intell. 26 (6) (2012)
Lasya Priya Kotu, Kjersti Engan, Trygve Eftestøl, Leik Woie, Stein Ørn, Aggelos K. Katsaggelos
Local Binary Patterns used on Cardiac MRI to classify high and low risk patient groups. EUSIPCO (2012)
Lasya Priya Kotu, Kjersti Engan, Trygve Eftestøl, Stein Ørn, Leik Woie
Segmentation of scarred and non-scarred myocardium in LG enhanced CMR images using intensity-based textural analysis. EMBC (2011)
Lasya Priya Kotu, Kjersti Engan, Trygve Eftestøl, Stein Ørn, Leik Woie
Texture classification of scarred and non-scarred myocardium in cardiac MRI using learned dictionaries. ICIP (2011)
Unai Irusta, Jesús Ruiz, Sofía Ruiz de Gauna, Trygve Eftestøl, Jo Kramer-Johansen
A Least Mean-Square Filter for the Estimation of the Cardiopulmonary Resuscitation Artifact Based on the Frequency of the Compressions. IEEE Trans. Biomed. Eng. 56 (4) (2009)
Kari Anne Haaland Thorsen, Trygve Eftestøl, Chunming Rong, Petter Andreas Steen
An Integrated Information Sharing Structure for Resuscitation Data. AINA Workshops (2009)
Martin Risdal, Sven Ole Aase, Jo Kramer-Johansen, Trygve Eftestøl
Automatic Identification of Return of Spontaneous Circulation During Cardiopulmonary Resuscitation. IEEE Trans. Biomed. Eng. 55 (1) (2008)
Øystein Johansen, Tom Ryen, Trygve Eftestøl, Thomas Kjosmoen, Peter Ruoff
Splice Site Prediction Using Artificial Neural Networks. CIBB (2008)
Martin Risdal, Sven Ole Aase, Mette Stavland, Trygve Eftestøl
Impedance-Based Ventilation Detection During Cardiopulmonary Resuscitation. IEEE Trans. Biomed. Eng. 54 (12) (2007)
Joar Eilevstjønn, John Håkon Husøy, Trygve Eftestøl, Sven Ole Aase, Petter Andreas Steen
Multichannel adaptive filtering using an efficient matching pursuit-like algorithm for removal of CPR artifacts in ECG signals. ICASSP (2002)
John Håkon Husøy, Joar Eilevstjønn, Trygve Eftestøl, Sven Ole Aase, Helge Myklebust, Petter Andreas Steen
Removal of cardiopulmonary resuscitation artifacts from human ECG using an efficient matching pursuit-like algorithm. IEEE Trans. Biomed. Eng. 49 (11) (2002)
Michael Small, Dejin Yu, Robert G. Harrison, Richard H. Clayton, Trygve Eftestøl, Kjetil Sunde, Petter Andreas Steen
Temporal Evolution of nonlinear Dynamics in Ventricular Arrhythmia. Int. J. Bifurc. Chaos 11 (10) (2001)
Sven Ole Aase, Trygve Eftestøl, John Håkon Husøy, Kjetil Sunde, Petter Andreas Steen
CPR artifact removal from human ECG using optimal multichannel filtering. IEEE Trans. Biomed. Eng. 47 (11) (2000)

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Publication Activity (10 Years)

Top Topics

Top Venues

Trygve Eftestøl