Kjersti Engan
Orcid: 0000-0002-8970-0067
According to our database1,
Kjersti Engan
authored at least 106 papers
between 1998 and 2024.
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Bibliography
2024
Equipping computational pathology systems with artifact processing pipelines: a showcase for computation and performance trade-offs.
BMC Medical Informatics Decis. Mak., December, 2024
NMGrad: Advancing Histopathological Bladder Cancer Grading with Weakly Supervised Deep Learning.
CoRR, 2024
Self-Contrastive Weakly Supervised Learning Framework for Prognostic Prediction Using Whole Slide Images.
CoRR, 2024
Towards Privacy-, Budget-, and Deadline-Aware Service Optimization for Large Medical Image Processing across Hybrid Clouds.
CoRR, 2024
Are you sure it's an artifact? Artifact detection and uncertainty quantification in histological images.
Comput. Medical Imaging Graph., 2024
Robust blind color deconvolution and blood detection on histological images using Bayesian K-SVD.
Artif. Intell. Medicine, 2024
Comparative Analysis of Binary and Multiclass Activity Recognition in High-Quality Newborn Resuscitation Videos.
Proceedings of the Northern Lights Deep Learning Conference, 2024
A Dual Convolutional Neural Network Pipeline for Melanoma Diagnostics and Prognostics.
Proceedings of the Northern Lights Deep Learning Conference, 2024
PriCE: Privacy-Preserving and Cost-Effective Scheduling for Parallelizing the Large Medical Image Processing Workflow over Hybrid Clouds.
Proceedings of the Euro-Par 2024: Parallel Processing, 2024
2023
Automatic prediction of therapeutic activities during newborn resuscitation combining video and signal data.
Biomed. Signal Process. Control., September, 2023
Balancing Privacy and Progress in Artificial Intelligence: Anonymization in Histopathology for Biomedical Research and Education.
CoRR, 2023
Exploiting 4D CT Perfusion for segmenting infarcted areas in patients with suspected acute ischemic stroke.
CoRR, 2023
CT Perfusion is All we Need: 4D CNN Segmentation of Penumbra and Core in Patients With Suspected Acute Ischemic Stroke.
IEEE Access, 2023
Vision Transformers for Small Histological Datasets Learned Through Knowledge Distillation.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
Towards a Privacy-Preserving Distributed Cloud Service for Preprocessing Very Large Medical Images.
Proceedings of the IEEE International Conference on Digital Health, 2023
Self-supervised learning of a tailored Convolutional Auto Encoder for histopathological prostate grading.
Proceedings of the 31st European Signal Processing Conference, 2023
Detection and Localization of Melanoma Skin Cancer in Histopathological Whole Slide Images.
Proceedings of the 31st European Signal Processing Conference, 2023
Active Learning Based Domain Adaptation for Tissue Segmentation of Histopathological Images.
Proceedings of the 31st European Signal Processing Conference, 2023
A Robust BKSVD Method for Blind Color Deconvolution and Blood Detection on H &E Histological Images.
Proceedings of the Artificial Intelligence in Medicine, 2023
2022
Machine Learning Algorithms Versus Thresholding to Segment Ischemic Regions in Patients With Acute Ischemic Stroke.
IEEE J. Biomed. Health Informatics, 2022
The Devil is in the Details: Whole Slide Image Acquisition and Processing for Artifacts Detection, Color Variation, and Data Augmentation: A Review.
IEEE Access, 2022
Multi-input segmentation of damaged brain in acute ischemic stroke patients using slow fusion with skip connection.
Proceedings of the 2022 Northern Lights Deep Learning Workshop, 2022
Proceedings of the 14th IEEE Image, Video, and Multidimensional Signal Processing Workshop, 2022
Quantifying the effect of color processing on blood and damaged tissue detection in Whole Slide Images.
Proceedings of the 14th IEEE Image, Video, and Multidimensional Signal Processing Workshop, 2022
Proceedings of the 14th IEEE Image, Video, and Multidimensional Signal Processing Workshop, 2022
Invasive Cancerous Area Detection in Non-Muscle Invasive Bladder Cancer Whole Slide Images.
Proceedings of the 14th IEEE Image, Video, and Multidimensional Signal Processing Workshop, 2022
Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022
2021
Artificial intelligence in computational pathology - challenges and future directions.
Digit. Signal Process., 2021
Automatic Diagnostic Tool for Predicting Cancer Grade in Bladder Cancer Patients Using Deep Learning.
IEEE Access, 2021
Proceedings of the 12th International Symposium on Image and Signal Processing and Analysis, 2021
2020
IEEE J. Biomed. Health Informatics, 2020
IEEE J. Biomed. Health Informatics, 2020
Automatic identification of stimulation activities during newborn resuscitation using ECG and accelerometer signals.
Comput. Methods Programs Biomed., 2020
Proceedings of the 10th Colour and Visual Computing Symposium 2020 (CVCS 2020), 2020
CNN Based Segmentation of Infarcted Regions in Acute Cerebral Stroke Patients From Computed Tomography Perfusion Imaging.
Proceedings of the BCB '20: 11th ACM International Conference on Bioinformatics, 2020
2019
Multiclass Tissue Classification of Whole-Slide Histological Images using Convolutional Neural Networks.
Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods, 2019
Baseline Wander Removal and Isoelectric Correction in Electrocardiograms Using Clustering.
Proceedings of the IEEE International Conference on Acoustics, 2019
Validation of Baseline Wander Removal and Isoelectric Correction in Electrocardiograms Using Clustering.
Proceedings of the 27th European Signal Processing Conference, 2019
2018
Noise robust and rotation invariant framework for texture analysis and classification.
Appl. Math. Comput., 2018
Kinect Modelling of Chest Compressions - A Feasibility Study for Chest Compression Depth Measurement Using Digital Strategies.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018
Proceedings of the 26th European Signal Processing Conference, 2018
Estimation of Missing Data in Fetal Heart Rate Signals Using Shift-Invariant Dictionary.
Proceedings of the 26th European Signal Processing Conference, 2018
Proceedings of the Computing in Cardiology, 2018
2017
IEEE J. Biomed. Health Informatics, 2017
IEEE J. Biomed. Health Informatics, 2017
ECG-Based Classification of Resuscitation Cardiac Rhythms for Retrospective Data Analysis.
IEEE Trans. Biomed. Eng., 2017
Signal Process. Image Commun., 2017
Digit. Signal Process., 2017
Automatic classification of resuscitation activities on birth-asphyxiated newborns using acceleration and ECG signals.
Biomed. Signal Process. Control., 2017
Classifying Alzheimer's disease, Lewy body dementia, and normal controls using 3D texture analysis in magnetic resonance images.
Biomed. Signal Process. Control., 2017
Proceedings of the Image Analysis - 20th Scandinavian Conference, 2017
Proceedings of the Image Analysis - 20th Scandinavian Conference, 2017
Proceedings of the 10th International Symposium on Image and Signal Processing and Analysis, 2017
Signal processing and classification for identification of clinically important parameters during neonatal resuscitation.
Proceedings of the 2017 IEEE International Conference on Signal and Image Processing Applications, 2017
Segmentation of coronary arteries from X-ray angiography sequences during contrast fluid propagation by image registration.
Proceedings of the 2017 IEEE Global Conference on Signal and Information Processing, 2017
Prognostic prediction of histopathological images by local binary patterns and RUSBoost.
Proceedings of the 25th European Signal Processing Conference, 2017
2016
Detection of Activities During Newborn Resuscitation Based on Short-Time Energy of Acceleration Signal.
Proceedings of the Image and Signal Processing - 7th International Conference, 2016
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016
Proceedings of the 24th European Signal Processing Conference, 2016
2015
Classifying Dementia Using Local Binary Patterns from Different Regions in Magnetic Resonance Images.
Int. J. Biomed. Imaging, 2015
Cardiac magnetic resonance image-based classification of the risk of arrhythmias in post-myocardial infarction patients.
Artif. Intell. Medicine, 2015
Retinal vessel inpainting using recursive least square dictionary learning algorithm.
Proceedings of the 2015 International Conference on Image Processing Theory, 2015
Detection of diabetic retinopathy and age-related macular degeneration from fundus images through local binary patterns and random forests.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015
Proceedings of the 23rd European Signal Processing Conference, 2015
Automatic Detection of Microvascular Obstruction in Patients with Myocardial Infarction.
Proceedings of the Computing in Cardiology, 2015
Exploring the Relationship Between Characteristics of Ventilation Performance and Response of Newborns During Resuscitation.
Proceedings of the Biomedical Engineering Systems and Technologies, 2015
Exploratory Analysis of Ventilation Signals from Resuscitation Data of Newborns.
Proceedings of the BIOSIGNALS 2015, 2015
Segmentation of LG Enhanced Cardiac MRI .
Proceedings of the BIOIMAGING 2015, 2015
2014
A texture-based probability mapping for localisation of clinically important cardiac segments in the myocardium in cardiac magnetic resonance images from myocardial infarction patients.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014
Proceedings of the Image Analysis and Recognition - 11th International Conference, 2014
Nearest-manifold classification approach for cardiac arrest rhythm interpretation during resuscitation.
Proceedings of the IEEE International Conference on Acoustics, 2014
Exploratory Analysis of Heart Rate Changes in Newborns to Investigate the Effectiveness of Bag-Mask Ventilation.
Proceedings of the Computing in Cardiology, CinC 2014, 2014
Defining Angular and Radial Positions and Parameters for Myocardial Pixels in Cardiac MR Images.
Proceedings of the Computing in Cardiology, CinC 2014, 2014
2013
Probabilistic Classification Approaches for Cardiac Arrest Rhythm Interpretation during Resuscitation.
Proceedings of the Computing in Cardiology, 2013
Measuring the Degree of Fibrosity in Myocardial Scars fromLate Gadolinium-Enhanced Cardiovascular Magnetic Resonance Images.
Proceedings of the Computing in Cardiology, 2013
Automatic Segmentation of the Epicardium in Late Gadolinium Enhanced Cardiac MR Images.
Proceedings of the Computing in Cardiology, 2013
2012
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012
Local Binary Patterns used on Cardiac MRI to classify high and low risk patient groups.
Proceedings of the 20th European Signal Processing Conference, 2012
2011
Texture classification of scarred and non-scarred myocardium in cardiac MRI using learned dictionaries.
Proceedings of the 18th IEEE International Conference on Image Processing, 2011
Proceedings of the IEEE International Conference on Acoustics, 2011
Segmentation of scarred and non-scarred myocardium in LG enhanced CMR images using intensity-based textural analysis.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011
2010
IEEE Trans. Signal Process., 2010
2007
Family of iterative LS-based dictionary learning algorithms, ILS-DLA, for sparse signal representation.
Digit. Signal Process., 2007
2005
IEEE Trans. Signal Process., 2005
Proceedings of the Medical Imaging 2005: Image Processing, 2005
Feature extraction in digital mammograms based on optimal and morphological filtering.
Proceedings of the Medical Imaging 2005: Image Processing, 2005
Compression of digital mammograms with region-of-interest coding evaluated on a CAD system.
Proceedings of the Medical Imaging 2005: Image Processing, 2005
Dense motion field estimation using spatial filtering and quasi eigenfunction approximations.
Proceedings of the 2005 International Conference on Image Processing, 2005
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005
2004
Diversity measure minimization based method for computing sparse solutions to linear inverse problems with multiple measurement vectors.
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004
2003
IEEE Trans. Signal Process., 2003
Watermarking of digital mammograms without interfering with automatic detection of microcalcifications.
Proceedings of the 2003 International Conference on Image Processing, 2003
2001
IEEE Trans. Signal Process., 2001
Proceedings of the 2001 International Conference on Image Processing, 2001
2000
Proceedings of the IEEE International Conference on Acoustics, 2000
1999
Proceedings of the 1999 International Symposium on Circuits and Systems, ISCAS 1999, Orlando, Florida, USA, May 30, 1999
Proceedings of the 1999 International Symposium on Circuits and Systems, ISCAS 1999, Orlando, Florida, USA, May 30, 1999
Proceedings of the 1999 IEEE International Conference on Acoustics, 1999
1998
Proceedings of the 1998 IEEE International Conference on Acoustics, 1998
Proceedings of the 9th European Signal Processing Conference, 1998