Kjersti Engan
#37,962
Most Influential Person Now
Norwegian researcher
Kjersti Engan's AcademicInfluence.com Rankings
Kjersti Enganengineering Degrees
Engineering
#2262
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#3146
Historical Rank
Electrical Engineering
#995
World Rank
#1070
Historical Rank
Kjersti Engancomputer-science Degrees
Computer Science
#5654
World Rank
#5972
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Information Management
#141
World Rank
#143
Historical Rank
Computational Linguistics
#2948
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#2981
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Machine Learning
#5350
World Rank
#5418
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Engineering Computer Science
Kjersti Engan's Degrees
- Masters Electrical Engineering Norwegian University of Science and Technology
Why Is Kjersti Engan Influential?
(Suggest an Edit or Addition)According to Wikipedia, Kjersti Engan is a Norwegian researcher in signal and image processing who works as a professor of electrical engineering and computer science at the University of Stavanger. Engan was born in 1971 in Bergen. She earned a bachelor's degree in electrical engineering in 1994 from Bergen University College. She then moved to the University of Stavanger for graduate study, completing her doctorate in 2000. At Stavanger, she was promoted to full professor in 2008.
Kjersti Engan's Published Works
Number of citations in a given year to any of this author's works
Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author
Published Works
- Sparse solutions to linear inverse problems with multiple measurement vectors (2005) (1376)
- Method of optimal directions for frame design (1999) (1304)
- Dictionary Learning Algorithms for Sparse Representation (2003) (872)
- Recursive Least Squares Dictionary Learning Algorithm (2010) (382)
- Subset selection in noise based on diversity measure minimization (2003) (323)
- Multi-frame compression: theory and design (2000) (282)
- Family of iterative LS-based dictionary learning algorithms, ILS-DLA, for sparse signal representation (2007) (176)
- Frame based signal compression using method of optimal directions (MOD) (1999) (157)
- Image compression using learned dictionaries by RLS-DLA and compared with K-SVD (2011) (122)
- Retinal Disease Screening Through Local Binary Patterns (2017) (69)
- ECG-Based Classification of Resuscitation Cardiac Rhythms for Retrospective Data Analysis (2017) (67)
- Classifying Dementia Using Local Binary Patterns from Different Regions in Magnetic Resonance Images (2015) (42)
- Cardiac magnetic resonance image-based classification of the risk of arrhythmias in post-myocardial infarction patients (2015) (38)
- Frame based signal representation and compression (2000) (32)
- Designing frames for matching pursuit algorithms (1998) (30)
- Exploratory data analysis of image texture and statistical features on myocardium and infarction areas in cardiac magnetic resonance images (2010) (28)
- Convex/Schur-Convex (CSC) Log-Priors and Sparse Coding (1999) (27)
- Watershed segmentation of detected masses in digital mammograms (2005) (26)
- Using local binary pattern to classify dementia in MRI (2012) (26)
- Probability mapping of scarred myocardium using texture and intensity features in CMR images (2013) (25)
- Optimized signal expansions for sparse representation (2001) (24)
- Diversity measure minimization based method for computing sparse solutions to linear inverse problems with multiple measurement vectors (2004) (23)
- The heart rate of ventricular tachycardia following an old myocardial infarction is inversely related to the size of scarring. (2011) (21)
- Learned dictionaries for sparse image representation: properties and results (2011) (20)
- Classifying Alzheimer's disease, Lewy body dementia, and normal controls using 3D texture analysis in magnetic resonance images (2017) (17)
- Automatic Estimation of Coronary Blood Flow Velocity Step 1 for Developing a Tool to Diagnose Patients With Micro-Vascular Angina Pectoris (2019) (17)
- A Multiscale Approach for Whole-Slide Image Segmentation of five Tissue Classes in Urothelial Carcinoma Slides (2020) (15)
- Motion based detection of respiration rate in infants using video (2016) (15)
- Automatic cardiac rhythm interpretation during resuscitation. (2016) (14)
- Prognostic prediction of histopathological images by local binary patterns and RUSBoost (2017) (13)
- Segmentation of scarred and non-scarred myocardium in LG enhanced CMR images using intensity-based textural analysis (2011) (13)
- REGULARIZED FOCUSS FOR SUBSET SELECTION IN NOISE (2000) (12)
- SPARSE REPRESENTATION OF IMAGES USING OVERLAPPING FRAMES (2000) (12)
- Local Binary Patterns used on Cardiac MRI to classify high and low risk patient groups (2012) (12)
- Multiclass Tissue Classification of Whole-Slide Histological Images using Convolutional Neural Networks (2019) (10)
- Assessment of sparse-based inpainting for retinal vessel removal (2017) (10)
- ECG compression using signal dependent frames and matching pursuit (2005) (10)
- Noise robust and rotation invariant framework for texture analysis and classification (2018) (10)
- Chest compression rate measurement from smartphone video (2016) (10)
- Artificial intelligence in computational pathology – challenges and future directions (2021) (9)
- Comparing a novel automatic 3D method for LGE-CMR quantification of scar size with established methods (2014) (9)
- Segmentation of Scarred Myocardium in Cardiac Magnetic Resonance Images (2013) (9)
- Texture analysis to assess risk of serious arrhythmias after myocardial infarction (2012) (9)
- Detection of circumscribed masses in mammograms using morphological segmentation (2005) (9)
- Activity Recognition From Newborn Resuscitation Videos (2020) (8)
- Multiscale Deep Neural Networks for Multiclass Tissue Classification of Histological Whole-Slide Images (2019) (8)
- The devil is in the details: Whole Slide Image acquisition and processing for artifacts detection, color variation, and data augmentation. A review. (2022) (8)
- Detection of Activities During Newborn Resuscitation Based on Short-Time Energy of Acceleration Signal (2016) (8)
- Automatic classification of resuscitation activities on birth-asphyxiated newborns using acceleration and ECG signals (2017) (8)
- Detection of diabetic retinopathy and age-related macular degeneration from fundus images through local binary patterns and random forests (2015) (7)
- Automatic Diagnostic Tool for Predicting Cancer Grade in Bladder Cancer Patients Using Deep Learning (2021) (7)
- An automatic system for the comprehensive retrospective analysis of cardiac rhythms in resuscitation episodes. (2018) (7)
- A texture-based probability mapping for localisation of clinically important cardiac segments in the myocardium in cardiac magnetic resonance images from myocardial infarction patients (2014) (6)
- Estimation of Missing Data in Fetal Heart Rate Signals Using Shift-Invariant Dictionary (2018) (6)
- Automatic Detection and Parameterization of Manual Bag-Mask Ventilation on Newborns (2017) (6)
- Novel algorithms for learning overcomplete dictionaries (1999) (6)
- Imposing shift-invariance using Flexible Structure Dictionary Learning (FSDL) (2017) (6)
- Real-Time Chest Compression Quality Measurements by Smartphone Camera (2018) (6)
- Texture Classification Using Sparse Representations by Learned Compound Dictionaries (2005) (6)
- Exploring the Relationship Between Characteristics of Ventilation Performance and Response of Newborns During Resuscitation (2015) (6)
- Automatic segmentation of the epicardium in late gadolinium enhanced cardiac MR images (2013) (6)
- Exploratory analysis of heart rate changes in newborns to investigate the effectiveness of bag-mask ventilation (2014) (5)
- Watermarking of digital mammograms without interfering with automatic detection of microcalcifications (2003) (5)
- DETECTION OF MASSES IN MAMMOGRAMS BY WATERSHED SEGMENTATION AND SPARSE REPRESENTATIONS USING LEARNED DICTIONARIES (2005) (5)
- Design of signal expansions for sparse representation (2000) (5)
- Detecting Chest Compression Depth Using a Smartphone Camera and Motion Segmentation (2017) (5)
- Frame based representation and compression of still images (2001) (5)
- Parameterized Extraction of Tiles in Multilevel Gigapixel Images (2021) (4)
- Frame Texture Classification Method (FTCM) Applied on Mammograms for Detection of Abnormalities (2008) (4)
- Texture classification of scarred and non-scarred myocardium in cardiac MRI using learned dictionaries (2011) (4)
- Object Detection During Newborn Resuscitation Activities (2020) (4)
- Exploratory Analysis of Ventilation Signals from Resuscitation Data of Newborns (2015) (4)
- Invasive Cancerous Area Detection in Non-Muscle Invasive Bladder Cancer Whole Slide Images (2022) (4)
- Automatic identification of stimulation activities during newborn resuscitation using ECG and accelerometer signals (2020) (4)
- Dense motion field estimation using spatial filtering and quasi eigenfunction approximations (2005) (4)
- Sparse Approximation by Matching Pursuit Using Shift-Invariant Dictionary (2017) (4)
- Quantifying the effect of color processing on blood and damaged tissue detection in Whole Slide Images (2022) (4)
- The flexible signature dictionary (2015) (3)
- Segmentation of LG Enhanced Cardiac MRI (2015) (3)
- Noise and Contraction Detection using Fetal Heart Rate and Accelerometer Signals During Labour (2019) (3)
- Energy Minimization by \alpha -Erosion for Supervised Texture Segmentation (2014) (3)
- Nested Multiple Instance Learning with Attention Mechanisms (2021) (3)
- Automatic Detection of Heart Center in Late Gadolinium Enhanced MRI (2014) (3)
- High Frequency Noise Detection and Handling in ECG Signals (2018) (3)
- Optimized frame design for a matching pursuit based compression scheme (1998) (3)
- Nearest-manifold classification approach for cardiac arrest rhythm interpretation during resuscitation (2014) (3)
- Fetal heart rate development during labour (2021) (3)
- Probabilistic classification approaches for cardiac arrest rhythm interpretation during resuscitation (2013) (3)
- Defining angular and radial positions and parameters for myocardial pixels in cardiac MR images (2014) (3)
- Denoising of images using designed signal dependent frames and matching pursuit (2005) (3)
- Design of general block oriented expansions for efficient signal representation (1999) (3)
- Signal processing and classification for identification of clinically important parameters during neonatal resuscitation (2017) (2)
- Segmentation of coronary arteries from X-ray angiography sequences during contrast fluid propagation by image registration (2017) (2)
- Retinal vessel inpainting using recursive least square dictionary learning algorithm (2015) (2)
- Compression of digital mammograms with region-of-interest coding evaluated on a CAD system (2005) (2)
- Residual block Convolutional Auto Encoder in Content-Based Medical Image Retrieval (2022) (2)
- A Computer Aided Detection ( CAD ) System for Microcalcifications in Mammograms-MammoScan μ CaD (2007) (2)
- Robust real-time chest compression rate detection from smartphone video (2017) (2)
- Multi-input segmentation of damaged brain in acute ischemic stroke patients using slow fusion with skip connection (2022) (2)
- CNN Based Segmentation of Infarcted Regions in Acute Cerebral Stroke Patients From Computed Tomography Perfusion Imaging (2020) (2)
- Semi-supervised Tissue Segmentation of Histological Images (2020) (2)
- Invariant Mean Electrical Axis in Electrocardiogram (2018) (2)
- Machine Learning Algorithms Versus Thresholding to Segment Ischemic Regions in Patients With Acute Ischemic Stroke (2021) (1)
- State transition modeling of complex monitored health data (2019) (1)
- Feature extraction in digital mammograms based on optimal and morphological filtering (2005) (1)
- Baseline Wander Removal and Isoelectric Correction in Electrocardiograms Using Clustering (2019) (1)
- Convex/Schur-Convex (CSC) Log-Priors (1999) (1)
- Probability mapping of scarred myocardium using texture and intensity features in CMR images (2013) (1)
- Energy Minimization by α-erosion for Supervised Texture Segmentation (2014) (1)
- Optic cup characterization through sparse representation and dictionary learning (2016) (1)
- Chest compression rate measurement from smartphone video (2016) (0)
- Towards using Thermal Cameras in Birth Detection (2022) (0)
- Knowledge Extraction and Representation Learning from Medical Text Data: Application to Resuscitation Data Analysis (2022) (0)
- Self-supervised learning of a tailored Convolutional Auto Encoder for histopathological prostate grading (2023) (0)
- VarMet: a novel method for detection of image singularities (2006) (0)
- Newborn Time - improved newborn care based on video and artificial intelligence - study protocol (2023) (0)
- The Localization and Characterization of Ischemic Scars in relation to the Infarct Related Coronary Artery Assessed by Cardiac Magnetic Resonance and a Novel Automatic Postprocessing Method (2015) (0)
- Measuring the degree of fibrosity of myocardial scars from late gadolinium-enhanced cardiovascular magnetic resonance images (2013) (0)
- A Computer Aided Detection (CAD) System for Microcalcifications in Mammograms - MammoScan mCaD (2008) (0)
- Detection and Localization of Melanoma Skin Cancer in Histopathological Whole Slide Images (2023) (0)
- Invariant Electrical Mean Axis in Electrocardiogram (2018) (0)
- Kinect Modelling of Chest Compressions - A Feasibility Study for Chest Compression Depth Measurement Using Digital Strategies (2018) (0)
- Learning Algorithms for Sparse Representation (2003) (0)
- Exploiting 4D CT Perfusion for segmenting infarcted areas in patients with suspected acute ischemic stroke (2023) (0)
- Validation of Baseline Wander Removal and Isoelectric Correction in Electrocardiograms Using Clustering (2019) (0)
- Active Learning Based Domain Adaptation for Tissue Segmentation of Histopathological Images (2023) (0)
- Automatic detection of microvascular obstruction in patients with myocardial infarction (2015) (0)
- Self-Supervised Few-Shot Learning for Ischemic Stroke Lesion Segmentation (2023) (0)
- The relationship between transmurality of ischemic scars and the heart rate of ventricular tachycardia (2015) (0)
- Fetal heart rate development during labour (2021) (0)
- Deep Learning for Predicting Metastasis on Melanoma WSIs (2023) (0)
- REDESIGN OF INTRODUCTORY COURSE IN ELECTRICAL AND COMPUTER ENGINEERING AT STAVANGER UNIVERSITY COLLEGE (2001) (0)
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