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2020 – today
- 2024
- [j24]Mohanad Abukmeil, Øyvind Meinich-Bache, Trygve Eftestøl, Siren Rettedal, Helge Myklebust, Thomas Bailey Tysland, Hege Ersdal, Estomih Mduma, Kjersti Engan:
Analysis and knowledge extraction of newborn resuscitation activities from annotation files. BMC Medical Informatics Decis. Mak. 24(1): 327 (2024) - [c54]Jakob Svane, Tomasz Wiktorski, Trygve Eftestøl, Stein Ørn:
Machine Learning Methods For Classification of Individuals With Coronary Artery Calcification. CBMS 2024: 27-32 - [c53]Erlend Sortland Rolfsnes, Philip Thangngat, Trygve Eftestøl, Tobias Nordström, Fredrik Jäderling, Martin Eklund, Alvaro Fernandez-Quilez:
On Undesired Emergent Behaviors in Compound Prostate Cancer Detection Systems. CaPTion@MICCAI 2024: 73-82 - [i12]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 abs/2405.15264 (2024) - [i11]Saul Fuster, Umay Kiraz, Trygve Eftestøl, Emiel A. M. Janssen, Kjersti Engan:
NMGrad: Advancing Histopathological Bladder Cancer Grading with Weakly Supervised Deep Learning. CoRR abs/2405.15275 (2024) - 2023
- [j23]Jarle Urdal
, Kjersti Engan
Automatic prediction of therapeutic activities during newborn resuscitation combining video and signal data. Biomed. Signal Process. Control. 86(Part C): 105290 (2023) - [c52]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: 1-4 - [c51]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: 1045-1049 - [c50]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: 1-5 - [c49]Alvaro Fernandez-Quilez, Christoffer Gabrielsen Andersen, Trygve Eftestøl, Svein Reidar Kjosavik
3D Masked Modelling Advances Lesion Classification in Axial T2w Prostate MRI. NLDL 2023 - [c48]Neel Kanwal
Vision Transformers for Small Histological Datasets Learned Through Knowledge Distillation. PAKDD (3) 2023: 167-179 - [i10]Saul Fuster, Farbod Khoraminia, Trygve Eftestøl, Tahlita C. M. Zuiverloon, Kjersti Engan:
Active Learning Based Domain Adaptation for Tissue Segmentation of Histopathological Images. CoRR abs/2303.05225 (2023) - [i9]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 abs/2303.07789 (2023) - [i8]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 abs/2303.07790 (2023) - [i7]Neel Kanwal, Trygve Eftestøl, Farbod Khoraminia, Tahlita C. M. Zuiverloon, Kjersti Engan:
Vision Transformers for Small Histological Datasets Learned through Knowledge Distillation. CoRR abs/2305.17370 (2023) - [i6]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 abs/2308.06477 (2023) - [i5]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 abs/2308.06481 (2023) - [i4]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 abs/2309.08381 (2023) - 2022
- [c47]Alvaro Iza, Andoni Elola, Iraia Isasi, Elisabete Aramendi, Trygve Eftestøl, Jo Kramer-Johansen, Lars Wik:
Adaptive Filtering Methods for ECG Waveform Restoration during Cardiopulmonary Resuscitation. CinC 2022: 1-4 - [c46]Saul Fuster, Trygve Eftestøl, Kjersti Engan:
Nested Multiple Instance Learning with Attention Mechanisms. ICMLA 2022: 220-225 - [c45]Alvaro Fernandez-Quilez, Trygve Eftestøl, Svein Reidar Kjosavik
Multi-Planar T2W MRI for an Improved Prostate Cancer Lesion Classification. ISBI 2022: 1-5 - [c44]Alvaro Fernandez-Quilez, Trygve Eftestøl, Svein Reidar Kjosavik
Contrasting Axial T2W MRI for Prostate Cancer Triage: A Self-Supervised Learning Approach. ISBI 2022: 1-5 - [c43]Saul Fuster, Farbod Khoraminia, Umay Kiraz, Neel Kanwal
Invasive Cancerous Area Detection in Non-Muscle Invasive Bladder Cancer Whole Slide Images. IVMSP 2022: 1-5 - [c42]Alvaro Fernandez-Quilez, Omer Parvez, Trygve Eftestøl, Svein Reidar Kjosavik
Improving prostate cancer triage with GAN-based synthetically generated prostate ADC MRI. Medical Imaging: Computer-Aided Diagnosis 2022 - [c41]Alvaro Fernandez-Quilez, Habib Ullah, Trygve Eftestøl, Svein Reidar Kjosavik
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 - [c40]Alvaro Fernandez-Quilez, Trygve Eftestøl, Svein Reidar Kjosavik
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 - [i3]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 abs/2212.14267 (2022) - 2021
- [j22]Rune Wetteland
Automatic Diagnostic Tool for Predicting Cancer Grade in Bladder Cancer Patients Using Deep Learning. IEEE Access 9: 115813-115825 (2021) - [c39]Iraia Isasi, Erik Alonso
A Machine Learning-Based Pulse Detection Algorithm for Use During Cardiopulmonary Resuscitation. CinC 2021: 1-4 - [i2]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 abs/2107.10806 (2021) - [i1]Saul Fuster, Trygve Eftestøl, Kjersti Engan:
Nested Multiple Instance Learning with Attention Mechanisms. CoRR abs/2111.00947 (2021) - 2020
- [j21]Jarle Urdal, Kjersti Engan
Automatic identification of stimulation activities during newborn resuscitation using ECG and accelerometer signals. Comput. Methods Programs Biomed. 193: 105445 (2020) - [j20]Iraia Isasi
Rhythm Analysis during Cardiopulmonary Resuscitation Using Convolutional Neural Networks. Entropy 22(6): 595 (2020) - [j19]Øyvind Meinich-Bache
Object Detection During Newborn Resuscitation Activities. IEEE J. Biomed. Health Informatics 24(3): 796-803 (2020) - [j18]Øyvind Meinich-Bache
Activity Recognition From Newborn Resuscitation Videos. IEEE J. Biomed. Health Informatics 24(11): 3258-3267 (2020) - [c38]Trygve Eftestøl, Svein E. Stokka, Jan Terje Kvaløy, Ali Bahrami Rad, Unai Irusta, Elisabete Aramendi
A Probabilistic Function to Model the Relationship between Quality of Chest Compressions and the Physiological Response for Patients in Cardiac Arrest. CinC 2020: 1-4 - [c37]Haizea Lasa, Unai Irusta, Trygve Eftestøl, Elisabete Aramendi
Multimodal Biosignal Analysis Algorithm for the Classification of Cardiac Rhythms During Resuscitation. CinC 2020: 1-4
2010 – 2019
- 2019
- [j17]Iraia Isasi
Automatic Cardiac Rhythm Classification With Concurrent Manual Chest Compressions. IEEE Access 7: 115147-115159 (2019) - [j16]Iraia Isasi
A Multistage Algorithm for ECG Rhythm Analysis During Piston-Driven Mechanical Chest Compressions. IEEE Trans. Biomed. Eng. 66(1): 263-272 (2019) - [j15]Iraia Isasi
A Machine Learning Shock Decision Algorithm for Use During Piston-Driven Chest Compressions. IEEE Trans. Biomed. Eng. 66(6): 1752-1760 (2019) - [c36]Iraia Isasi
A Robust Machine Learning Architecture for a Reliable ECG Rhythm Analysis during CPR. EMBC 2019: 1903-1907 - [c35]Kjell Le, Trygve Eftestøl, Kjersti Engan
Validation of Baseline Wander Removal and Isoelectric Correction in Electrocardiograms Using Clustering. EUSIPCO 2019: 1-5 - [c34]Kjell Le, Trygve Eftestøl, Kjersti Engan
Baseline Wander Removal and Isoelectric Correction in Electrocardiograms Using Clustering. ICASSP 2019: 1274-1278 - [c33]Rune Wetteland, Kjersti Engan
Multiclass Tissue Classification of Whole-Slide Histological Images using Convolutional Neural Networks. ICPRAM 2019: 320-327 - 2018
- [j14]Dominika Dlugosz, Trygve Eftestøl, Aleksandra Królak
The North Sea Bicycle Race ECG Project: Time-Domain Analysis. J. Autom. Mob. Robotics Intell. Syst. 12(1): 23-32 (2018) - [c32]Iraia Isasi
An Accurate Shock/No-Shock Decision Algorithm for Use During Piston-Driven Chest Compressions. CinC 2018: 1-4 - [c31]Iraia Isasi
ECG Rhythm Analysis During Manual Chest Compressions Using an Artefact Removal Filter and Random Forest Classifiers. CinC 2018: 1-4 - [c30]Kjell Le, Trygve Eftestøl, Kjersti Engan
Invariant Mean Electrical Axis in Electrocardiogram. CinC 2018: 1-4 - [c29]Kjell Le, Trygve Eftestøl, Kjersti Engan
High Frequency Noise Detection and Handling in ECG Signals. EUSIPCO 2018: 46-50 - [c28]Dominika Dlugosz, Aleksandra Królak
ECG Signal Analysis for Troponin Level Assessment and Coronary Artery Disease Detection: the NEEDED Study 2014. FedCSIS 2018: 1065-1068 - 2017
- [j13]Ketil Oppedal, Kjersti Engan
Classifying Alzheimer's disease, Lewy body dementia, and normal controls using 3D texture analysis in magnetic resonance images. Biomed. Signal Process. Control. 33: 19-29 (2017) - [j12]Huyen Vu, Kjersti Engan
Automatic classification of resuscitation activities on birth-asphyxiated newborns using acceleration and ECG signals. Biomed. Signal Process. Control. 36: 20-26 (2017) - [j11]Ali Bahrami Rad
ECG-Based Classification of Resuscitation Cardiac Rhythms for Retrospective Data Analysis. IEEE Trans. Biomed. Eng. 64(10): 2411-2418 (2017) - [j10]Huyen Vu, Trygve Eftestøl, Kjersti Engan
Automatic Detection and Parameterization of Manual Bag-Mask Ventilation on Newborns. IEEE J. Biomed. Health Informatics 21(2): 527-538 (2017) - [c27]Iraia Isasi
Removing Piston-driven Mechanical Chest Compression Artefacts from the ECG. CinC 2017 - [c26]Dominika Dlugosz, Trygve Eftestøl, Stein Ørn
The North Sea Bicycle Race ECG Project: Time-Domain Analysis. FedCSIS 2017: 1353-1356 - [c25]Mahdieh Khanmohammadi
Segmentation of coronary arteries from X-ray angiography sequences during contrast fluid propagation by image registration. GlobalSIP 2017: 715-719 - [c24]Jarle Urdal, Kjersti Engan
Signal processing and classification for identification of clinically important parameters during neonatal resuscitation. ICSIPA 2017: 547-552 - [c23]Øyvind Meinich-Bache
Detecting Chest Compression Depth Using a Smartphone Camera and Motion Segmentation. SCIA (2) 2017: 53-64 - 2016
- [c22]Huyen Vu, Trygve Eftestøl, Kjersti Engan
Detection of Activities During Newborn Resuscitation Based on Short-Time Energy of Acceleration Signal. ICISP 2016: 262-270 - 2015
- [j9]Lasya Priya Kotu
Cardiac magnetic resonance image-based classification of the risk of arrhythmias in post-myocardial infarction patients. Artif. Intell. Medicine 64(3): 205-215 (2015) - [j8]Ketil Oppedal, Trygve Eftestøl, Kjersti Engan
Classifying Dementia Using Local Binary Patterns from Different Regions in Magnetic Resonance Images. Int. J. Biomed. Imaging 2015: 572567:1-572567:14 (2015) - [c21]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: 12-20 - [c20]Kjersti Engan, Valery Naranjo, Trygve Eftestøl, Stein Ørn, Leik Woie:
Segmentation of LG Enhanced Cardiac MRI . BIOIMAGING 2015: 47-55 - [c19]Huyen Vu, Trygve Eftestøl, Kjersti Engan
Exploring the Relationship Between Characteristics of Ventilation Performance and Response of Newborns During Resuscitation. BIOSTEC (Selected Papers) 2015: 275-290 - [c18]Trygve Eftestøl, Erlend Singsaas, Kjersti Engan
Automatic Detection of Microvascular Obstruction in Patients with Myocardial Infarction. CinC 2015: 757-760 - 2014
- [c17]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: 457-460 - [c16]Kjersti Engan, Leik Woie, Trygve Eftestøl:
Defining Angular and Radial Positions and Parameters for Myocardial Pixels in Cardiac MR Images. CinC 2014: 941-944 - [c15]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: 1109-1112 - [c14]Ali Bahrami Rad
Nearest-manifold classification approach for cardiac arrest rhythm interpretation during resuscitation. ICASSP 2014: 3621-3625 - [c13]Trygve Eftestøl, Frode Måløy, Kjersti Engan
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: 2227-2231 - 2013
- [c12]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: 125-128 - [c11]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: 129-132 - [c10]Kjersti Engan, Valery Naranjo, Trygve Eftestøl, Stein Ørn, Leik Woie:
Automatic Segmentation of the Epicardium in Late Gadolinium Enhanced Cardiac MR Images. CinC 2013: 631-634 - [c9]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: 647-650 - [c8]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: 807-810 - 2012
- [j7]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): 588-597 (2012) - [c7]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: 2586-2590 - [c6]Ketil Oppedal, Kjersti Engan
Using local binary pattern to classify dementia in MRI. ISBI 2012: 594-597 - 2011
- [c5]Lasya Priya Kotu, Kjersti Engan
Segmentation of scarred and non-scarred myocardium in LG enhanced CMR images using intensity-based textural analysis. EMBC 2011: 5698-5701 - [c4]Lasya Priya Kotu, Kjersti Engan
Texture classification of scarred and non-scarred myocardium in cardiac MRI using learned dictionaries. ICIP 2011: 65-68
2000 – 2009
- 2009
- [j6]Unai Irusta
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): 1052-1062 (2009) - [c3]Kari Anne Haaland Thorsen, Trygve Eftestøl, Chunming Rong
An Integrated Information Sharing Structure for Resuscitation Data. AINA Workshops 2009: 7-12 - 2008
- [j5]Martin Risdal
Automatic Identification of Return of Spontaneous Circulation During Cardiopulmonary Resuscitation. IEEE Trans. Biomed. Eng. 55(1): 60-68 (2008) - [c2]Øystein Johansen, Tom Ryen, Trygve Eftestøl, Thomas Kjosmoen, Peter Ruoff
Splice Site Prediction Using Artificial Neural Networks. CIBB 2008: 102-113 - 2007
- [j4]Martin Risdal, Sven Ole Aase, Mette Stavland, Trygve Eftestøl:
Impedance-Based Ventilation Detection During Cardiopulmonary Resuscitation. IEEE Trans. Biomed. Eng. 54(12): 2237-2245 (2007) - 2002
- [j3]John Håkon Husøy, Joar Eilevstjønn
Removal of cardiopulmonary resuscitation artifacts from human ECG using an efficient matching pursuit-like algorithm. IEEE Trans. Biomed. Eng. 49(11): 1287-1298 (2002) - [c1]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: 3864-3867 - 2001
- [j2]Michael Small
Temporal Evolution of nonlinear Dynamics in Ventricular Arrhythmia. Int. J. Bifurc. Chaos 11(10): 2531-2548 (2001) - 2000
- [b1]Trygve Eftestøl:
Signal analysis of out-of-hospital cardiac arrest electrocardiograms for decision support during cardiopulmonary resuscitation. Norwegian University of Science and Technology, Trondheim, Norway, 2000 - [j1]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): 1440-1449 (2000)
Coauthor Index
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