Kjersti Engan

Orcid: 0000-0002-8970-0067

According to our database1, Kjersti Engan authored at least 101 papers between 1998 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Equipping Computational Pathology Systems with Artifact Processing Pipelines: A Showcase for Computation and Performance Trade-offs.
CoRR, 2024

Towards Privacy-, Budget-, and Deadline-Aware Service Optimization for Large Medical Image Processing across Hybrid Clouds.
CoRR, 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

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

Self-Supervised Few-Shot Learning for Ischemic Stroke Lesion Segmentation.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Deep Learning for Predicting Metastasis on Melanoma Wsis.
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

Residual block Convolutional Auto Encoder in Content-Based Medical Image Retrieval.
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

Towards using Thermal Cameras in Birth Detection.
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

Nested Multiple Instance Learning with Attention Mechanisms.
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

Parameterized Extraction of Tiles in Multilevel Gigapixel Images.
Proceedings of the 12th International Symposium on Image and Signal Processing and Analysis, 2021

2020
Object Detection During Newborn Resuscitation Activities.
IEEE J. Biomed. Health Informatics, 2020

Activity Recognition From Newborn Resuscitation Videos.
IEEE J. Biomed. Health Informatics, 2020

Automatic identification of stimulation activities during newborn resuscitation using ECG and accelerometer signals.
Comput. Methods Programs Biomed., 2020

Semi-supervised Tissue Segmentation of Histological Images.
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

High Frequency Noise Detection and Handling in ECG Signals.
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

Invariant Mean Electrical Axis in Electrocardiogram.
Proceedings of the Computing in Cardiology, 2018

2017
Automatic Detection and Parameterization of Manual Bag-Mask Ventilation on Newborns.
IEEE J. Biomed. Health Informatics, 2017

Retinal Disease Screening Through Local Binary Patterns.
IEEE J. Biomed. Health Informatics, 2017

ECG-Based Classification of Resuscitation Cardiac Rhythms for Retrospective Data Analysis.
IEEE Trans. Biomed. Eng., 2017

Assessment of sparse-based inpainting for retinal vessel removal.
Signal Process. Image Commun., 2017

Imposing shift-invariance using Flexible Structure Dictionary Learning (FSDL).
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

Sparse Approximation by Matching Pursuit Using Shift-Invariant Dictionary.
Proceedings of the Image Analysis - 20th Scandinavian Conference, 2017

Detecting Chest Compression Depth Using a Smartphone Camera and Motion Segmentation.
Proceedings of the Image Analysis - 20th Scandinavian Conference, 2017

Robust real-time chest compression rate detection from smartphone video.
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

Motion based detection of respiration rate in infants using video.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

Optic cup characterization through sparse representation and dictionary learning.
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

The flexible signature dictionary.
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

Energy Minimization by \alpha -Erosion for Supervised Texture Segmentation.
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
Using local binary pattern to classify dementia in MRI.
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

Image compression using learned dictionaries by RLS-DLA and compared with K-SVD.
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
Recursive least squares dictionary learning algorithm.
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
Sparse solutions to linear inverse problems with multiple measurement vectors.
IEEE Trans. Signal Process., 2005

Detection of circumscribed masses in mammograms using morphological segmentation.
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

ECG compression using signal dependent frames and matching pursuit.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

Denoising of Images Using Designed Signal Dependent Frames and Matching Pursuit.
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
Subset selection in noise based on diversity measure minimization.
IEEE Trans. Signal Process., 2003

Dictionary Learning Algorithms for Sparse Representation.
Neural Comput., 2003

Watermarking of digital mammograms without interfering with automatic detection of microcalcifications.
Proceedings of the 2003 International Conference on Image Processing, 2003

2001
Optimized signal expansions for sparse representation.
IEEE Trans. Signal Process., 2001

Frame based representation and compression of still images.
Proceedings of the 2001 International Conference on Image Processing, 2001

2000
Frame based signal representation and compression.
PhD thesis, 2000

Multi-frame compression: theory and design.
Signal Process., 2000

Design of signal expansions for sparse representation.
Proceedings of the IEEE International Conference on Acoustics, 2000

1999
Design of general block oriented expansions for efficient signal representation.
Proceedings of the 1999 International Symposium on Circuits and Systems, ISCAS 1999, Orlando, Florida, USA, May 30, 1999

Frame based signal compression using method of optimal directions (MOD).
Proceedings of the 1999 International Symposium on Circuits and Systems, ISCAS 1999, Orlando, Florida, USA, May 30, 1999

Method of optimal directions for frame design.
Proceedings of the 1999 IEEE International Conference on Acoustics, 1999

1998
Designing frames for matching pursuit algorithms.
Proceedings of the 1998 IEEE International Conference on Acoustics, 1998

Optimized frame design for a matching pursuit based compression scheme.
Proceedings of the 9th European Signal Processing Conference, 1998


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