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ORCIDKjersti Engan
- > Home > Persons > Kjersti Engan
Publications
- 2023
[j25]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): 105290 (2023)- [c65]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 - [c61]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: 167-179 - [i13]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) - [i11]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) - [i10]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) - 2022
- [c60]Saul Fuster, Trygve Eftestøl, Kjersti Engan:
Nested Multiple Instance Learning with Attention Mechanisms. ICMLA 2022: 220-225 - [c59]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: 1-5 - 2021
- [j22]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: 115813-115825 (2021) - [i1]Saul Fuster, Trygve Eftestøl, Kjersti Engan:
Nested Multiple Instance Learning with Attention Mechanisms. CoRR abs/2111.00947 (2021) - 2020
- [j20]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: 105445 (2020) - [j19]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): 796-803 (2020) - [j18]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): 3258-3267 (2020) - 2019
- [c51]Kjell Le, Trygve Eftestøl, Kjersti Engan, Øyunn Kleiven, Stein Ørn:
Validation of Baseline Wander Removal and Isoelectric Correction in Electrocardiograms Using Clustering. EUSIPCO 2019: 1-5 - [c50]Kjell Le, Trygve Eftestøl, Kjersti Engan, Øyunn Kleiven, Stein Ørn:
Baseline Wander Removal and Isoelectric Correction in Electrocardiograms Using Clustering. ICASSP 2019: 1274-1278 - [c49]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: 320-327 - 2018
- [c48]Kjell Le, Trygve Eftestøl, Kjersti Engan, Øyunn Kleiven, Stein Ørn:
Invariant Mean Electrical Axis in Electrocardiogram. CinC 2018: 1-4 - [c47]Kjell Le, Trygve Eftestøl, Kjersti Engan, Stein Ørn, Øyunn Kleiven:
High Frequency Noise Detection and Handling in ECG Signals. EUSIPCO 2018: 46-50 - 2017
- [j16]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: 19-29 (2017) - [j15]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: 20-26 (2017) - [j12]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): 2411-2418 (2017) - [j10]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): 527-538 (2017) - [c43]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: 715-719 - [c42]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: 547-552 - [c40]Øyvind Meinich-Bache, Kjersti Engan, Trygve Eftestøl, Ivar Austvoll:
Detecting Chest Compression Depth Using a Smartphone Camera and Motion Segmentation. SCIA (2) 2017: 53-64 - 2016
- [c36]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: 262-270 - 2015
- [j9]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): 205-215 (2015) - [j8]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: 572567:1-572567:14 (2015) - [c35]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 - [c34]Kjersti Engan, Valery Naranjo, Trygve Eftestøl, Stein Ørn, Leik Woie:
Segmentation of LG Enhanced Cardiac MRI . BIOIMAGING 2015: 47-55 - [c33]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: 275-290 - [c32]Trygve Eftestøl, Erlend Singsaas, Kjersti Engan, Leik Woie, Stein Ørn:
Automatic Detection of Microvascular Obstruction in Patients with Myocardial Infarction. CinC 2015: 757-760 - 2014
- [c28]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 - [c27]Kjersti Engan, Leik Woie, Trygve Eftestøl:
Defining Angular and Radial Positions and Parameters for Myocardial Pixels in Cardiac MR Images. CinC 2014: 941-944 - [c26]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: 3621-3625 - [c24]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: 2227-2231 - 2013
- [c23]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 - [c22]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 - [c21]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 - 2012
- [c20]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 - [c19]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: 594-597 - 2011
- [c18]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: 5698-5701 - [c16]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: 65-68
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