Kjersti Engan

ORCID

Publication Activity (10 Years)

Years Active: 1998-2024
Publications (10 Years): 77

Top Venues

CoRR

EUSIPCO

IEEE J. Biomed. Health Informatics

ICIP

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

Education History

Norwegian University of Science and Technology, Trondheim, Norway

PHD

Publications

Jorge García-Torres, Øyvind Meinich-Bache, Siren Irene Rettedal, Amalie Kibsgaard, Sara Brunner, Kjersti Engan
Comparative Analysis of Binary and Multiclass Activity Recognition in High-Quality Newborn Resuscitation Videos. NLDL (2024)
Marie Bø-Sande, Edvin Benjaminsen, Neel Kanwal, Saul Fuster, Helga Hardardottir, Ingrid Lundal, Emilius A. M. Janssen, Kjersti Engan
A Dual Convolutional Neural Network Pipeline for Melanoma Diagnostics and Prognostics. NLDL (2024)
Yuandou Wang, Neel Kanwal, Kjersti Engan, Chunming Rong, Paola Grosso, Zhiming Zhao
Towards Privacy-, Budget-, and Deadline-Aware Service Optimization for Large Medical Image Processing across Hybrid Clouds. CoRR (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)
Luca Tomasetti, Kjersti Engan, Liv Jorunn Høllesli, Kathinka Dæhli Kurz, Mahdieh Khanmohammadi
CT Perfusion is All we Need: 4D CNN Segmentation of Penumbra and Core in Patients With Suspected Acute Ischemic Stroke. IEEE Access 11 (2023)
Neel Kanwal, Emiel A. M. Janssen, Kjersti Engan
Balancing Privacy and Progress in Artificial Intelligence: Anonymization in Histopathology for Biomedical Research and Education. CoRR (2023)
Zahra Tabatabaei, Adrián Colomer, Kjersti Engan, Javier Oliver, Valery Naranjo
Self-supervised learning of a tailored Convolutional Auto Encoder for histopathological prostate grading. CoRR (2023)
Luca Tomasetti, Kjersti Engan, Liv Jorunn Høllesli, Kathinka Dæhli Kurz, Mahdieh Khanmohammadi
Exploiting 4D CT Perfusion for segmenting infarcted areas in patients with suspected acute ischemic stroke. 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)
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)
Neel Kanwal, Roger Amundsen, Helga Hardardottir, Luca Tomasetti, Erling Sandøy Undersrud, Emiel A. M. Janssen, Kjersti Engan
Detection and Localization of Melanoma Skin Cancer in Histopathological Whole Slide Images. EUSIPCO (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)
Yuandou Wang, Neel Kanwal, Kjersti Engan, Chunming Rong, Zhiming Zhao
Towards a Privacy-Preserving Distributed Cloud Service for Preprocessing Very Large Medical Images. ICDH (2023)
Marie Bø-Sande, Edvin Benjaminsen, Neel Kanwal, Saul Fuster, Helga Hardardottir, Ingrid Lundal, Emiel A. M. Janssen, Kjersti Engan
A Dual Convolutional Neural Network Pipeline for Melanoma Diagnostics and Prognostics. CoRR (2023)
Yuandou Wang, Neel Kanwal, Kjersti Engan, Chunming Rong, Zhiming Zhao
Towards a privacy-preserving distributed cloud service for preprocessing very large medical images. CoRR (2023)
Luca Tomasetti, Stine Hansen, Mahdieh Khanmohammadi, Kjersti Engan, Liv Jorunn Høllesli, Kathinka Dæhli Kurz, Michael Kampffmeyer
Self-Supervised Few-Shot Learning for Ischemic Stroke Lesion Segmentation. ISBI (2023)
Zahra Tabatabaei, Adrián Colomer, Kjersti Engan, Javier Oliver, Valery Naranjo
Self-supervised learning of a tailored Convolutional Auto Encoder for histopathological prostate grading. EUSIPCO (2023)
Neel Kanwal, Roger Amundsen, Helga Hardardottir, Luca Tomasetti, Erling Sandoy Undersrud, Emiel A. M. Janssen, Kjersti Engan
Detection and Localization of Melanoma Skin Cancer in Histopathological Whole Slide Images. CoRR (2023)
Luca Tomasetti, Stine Hansen, Mahdieh Khanmohammadi, Kjersti Engan, Liv Jorunn Høllesli, Kathinka Dæhli Kurz, Michael Kampffmeyer
Self-Supervised Few-Shot Learning for Ischemic Stroke Lesion Segmentation. CoRR (2023)
Fernando Pérez-Bueno, Kjersti Engan, Rafael Molina
A Robust BKSVD Method for Blind Color Deconvolution and Blood Detection on H &E Histological Images. AIME (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)
Christopher Andreassen, Saul Fuster, Helga Hardardottir, Emiel A. M. Janssen, Kjersti Engan
Deep Learning for Predicting Metastasis on Melanoma Wsis. ISBI (2023)
Christopher Andreassen, Saul Fuster, Helga Hardardottir, Emiel A. M. Janssen, Kjersti Engan
Deep Learning for Predicting Metastasis on Melanoma WSIs. CoRR (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)
Jorge García-Torres, Øyvind Meinich-Bache, Sara Brunner, Anders Johannessen, Siren Rettedal, Kjersti Engan
Towards using Thermal Cameras in Birth Detection. IVMSP (2022)
Neel Kanwal, Fernando Pérez-Bueno, Arne Schmidt, Kjersti Engan, Rafael Molina
The Devil is in the Details: Whole Slide Image Acquisition and Processing for Artifacts Detection, Color Variation, and Data Augmentation: A Review. IEEE Access 10 (2022)
Luca Tomasetti, Liv Jorunn Høllesli, Kjersti Engan, Kathinka Dæhli Kurz, Martin Wilhelm Kurz, Mahdieh Khanmohammadi
Machine Learning Algorithms Versus Thresholding to Segment Ischemic Regions in Patients With Acute Ischemic Stroke. IEEE J. Biomed. Health Informatics 26 (2) (2022)
Luca Tomasetti, Mahdieh Khanmohammadi, Kjersti Engan, Liv Jorunn Høllesli, Kathinka Dæhli Kurz
Multi-input segmentation of damaged brain in acute ischemic stroke patients using slow fusion with skip connection. NLDL (2022)
Luca Tomasetti, Mahdieh Khanmohammadi, Kjersti Engan, Liv Jorunn Høllesli, Kathinka Dæhli Kurz
Multi-input segmentation of damaged brain in acute ischemic stroke patients using slow fusion with skip connection. CoRR (2022)
Zahra Tabatabaei, Adrián Colomer, Kjersti Engan, Javier Oliver, Valery Naranjo
Residual block Convolutional Auto Encoder in Content-Based Medical Image Retrieval. IVMSP (2022)
Saul Fuster, Trygve Eftestøl, Kjersti Engan
Nested Multiple Instance Learning with Attention Mechanisms. ICMLA (2022)
Neel Kanwal, Saul Fuster, Farbod Khoraminia, Tahlita C. M. Zuiverloon, Chunming Rong, Kjersti Engan
Quantifying the effect of color processing on blood and damaged tissue detection in Whole Slide Images. IVMSP (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)
Sandra Morales, Kjersti Engan, Valery Naranjo
Artificial intelligence in computational pathology - challenges and future directions. Digit. Signal Process. 119 (2021)
Luca Tomasetti, Kjersti Engan, Mahdieh Khanmohammadi, Kathinka Dæhli Kurz
CNN Based Segmentation of Infarcted Regions in Acute Cerebral Stroke Patients From Computed Tomography Perfusion Imaging. CoRR (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)
Rune Wetteland, Kjersti Engan, Trygve Eftesol
Parameterized Extraction of Tiles in Multilevel Gigapixel Images. ISPA (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)
Luca Tomasetti, Kjersti Engan, Mahdieh Khanmohammadi, Kathinka Dæhli Kurz
CNN Based Segmentation of Infarcted Regions in Acute Cerebral Stroke Patients From Computed Tomography Perfusion Imaging. BCB (2020)
Ove Nicolai Dalheim, Rune Wetteland, Vebjørn Kvikstad, Emiel A. M. Janssen, Kjersti Engan
Semi-supervised Tissue Segmentation of Histological Images. CVCS (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)
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)
Øyvind Meinich-Bache, Kjersti Engan, Trygve Eftestphil, Ivar Austvoll
Kinect Modelling of Chest Compressions - A Feasibility Study for Chest Compression Depth Measurement Using Digital Strategies. ICIP (2018)
Kjell Le, Trygve Eftestøl, Kjersti Engan, Stein Ørn, Øyunn Kleiven
High Frequency Noise Detection and Handling in ECG Signals. EUSIPCO (2018)
Faraz Barzideh, Jarle Urdal, Hussein Kidanto, Kjersti Engan, Karl Skretting, Paschal Mdoe, Benjamin Kamala, Sara Brunner
Estimation of Missing Data in Fetal Heart Rate Signals Using Shift-Invariant Dictionary. EUSIPCO (2018)
Álvar-Gines Legaz-Aparicio, Rafael Verdú Monedero, Kjersti Engan
Noise robust and rotation invariant framework for texture analysis and classification. Appl. Math. Comput. 335 (2018)
Kjell Le, Trygve Eftestøl, Kjersti Engan, Øyunn Kleiven, Stein Ørn
Invariant Mean Electrical Axis in Electrocardiogram. CinC (2018)
Karl Skretting, Kjersti Engan
Sparse Approximation by Matching Pursuit Using Shift-Invariant Dictionary. SCIA (1) (2017)
Sandra Morales, Kjersti Engan, Valery Naranjo, Adrián Colomer
Retinal Disease Screening Through Local Binary Patterns. IEEE J. Biomed. Health Informatics 21 (1) (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)
Øyvind Meinich-Bache, Kjersti Engan, Tonje S. Birkenes, Helge Myklebust
Robust real-time chest compression rate detection from smartphone video. ISPA (2017)
Faraz Barzideh, Karl Skretting, Kjersti Engan
Imposing shift-invariance using Flexible Structure Dictionary Learning (FSDL). Digit. Signal Process. 69 (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)
Adrián Colomer, Valery Naranjo, Kjersti Engan, Karl Skretting
Assessment of sparse-based inpainting for retinal vessel removal. Signal Process. Image Commun. 59 (2017)
Jarle Urdal, Kjersti Engan, Vebjom Kvikstad, Emilius A. M. Janssen
Prognostic prediction of histopathological images by local binary patterns and RUSBoost. EUSIPCO (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)
Daniel Myklatun Tveit, Kjersti Engan, Ivar Austvoll, Øyvind Meinich-Bache
Motion based detection of respiration rate in infants using video. ICIP (2016)
Valery Naranjo, Carlos J. Saez, Sandra Morales, Kjersti Engan, Soledad Gomez
Optic cup characterization through sparse representation and dictionary learning. EUSIPCO (2016)
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)
Sandra Morales, Kjersti Engan, Valery Naranjo, Adrián Colomer
Detection of diabetic retinopathy and age-related macular degeneration from fundus images through local binary patterns and random forests. ICIP (2015)
Adrián Colomer, Valery Naranjo, Kjersti Engan, Karl Skretting
Retinal vessel inpainting using recursive least square dictionary learning algorithm. IPTA (2015)
Faraz Barzideh, Karl Skretting, Kjersti Engan
The flexible signature dictionary. EUSIPCO (2015)
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)
Karl Skretting, Kjersti Engan
Energy Minimization by \alpha -Erosion for Supervised Texture Segmentation. ICIAR (1) (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)
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)
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)
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)
Karl Skretting, Kjersti Engan
Image compression using learned dictionaries by RLS-DLA and compared with K-SVD. ICASSP (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)
Karl Skretting, Kjersti Engan
Recursive least squares dictionary learning algorithm. IEEE Trans. Signal Process. 58 (4) (2010)
Kjersti Engan, Karl Skretting, John Håkon Husøy
Family of iterative LS-based dictionary learning algorithms, ILS-DLA, for sparse signal representation. Digit. Signal Process. 17 (1) (2007)
Kjersti Engan, Karl Skretting, John Håkon Husøy
Denoising of Images Using Designed Signal Dependent Frames and Matching Pursuit. ICASSP (2) (2005)
Jostein Herredsvela, Thor Ole Gulsrud, Kjersti Engan
Detection of circumscribed masses in mammograms using morphological segmentation. Medical Imaging: Image Processing (2005)
Thor Ole Gulsrud, Kjersti Engan, Jostein Herredsvela
Feature extraction in digital mammograms based on optimal and morphological filtering. Medical Imaging: Image Processing (2005)
Espen Kristoffersen, Ivar Austvoll, Kjersti Engan
Dense motion field estimation using spatial filtering and quasi eigenfunction approximations. ICIP (3) (2005)
Kjersti Engan, Martin Ruoff Lillo, Thor Ole Gulsrud
Compression of digital mammograms with region-of-interest coding evaluated on a CAD system. Medical Imaging: Image Processing (2005)
Karl Skretting, Kjersti Engan, John Håkon Husøy
ECG compression using signal dependent frames and matching pursuit. ICASSP (4) (2005)
Shane F. Cotter, Bhaskar D. Rao, Kjersti Engan, Kenneth Kreutz-Delgado
Sparse solutions to linear inverse problems with multiple measurement vectors. IEEE Trans. Signal Process. 53 (7) (2005)
Bhaskar D. Rao, Kjersti Engan, Shane F. Cotter
Diversity measure minimization based method for computing sparse solutions to linear inverse problems with multiple measurement vectors. ICASSP (2) (2004)

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Publication Activity (10 Years)

Top Topics

Top Venues

Kjersti Engan