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2020 – today
- 2024
- [j30]Fernando Pérez-Bueno
, Kjersti Engan
Robust blind color deconvolution and blood detection on histological images using Bayesian K-SVD. Artif. Intell. Medicine 156: 102969 (2024) - [j29]Neel Kanwal
Are you sure it's an artifact? Artifact detection and uncertainty quantification in histological images. Comput. Medical Imaging Graph. 112: 102321 (2024) - [j28]Neel Kanwal, Farbod Khoraminia, Umay Kiraz, Andrés Mosquera-Zamudio, Carlos Monteagudo, Emiel A. M. Janssen, Tahlita C. M. Zuiverloon, Chunming Rong, Kjersti Engan:
Equipping computational pathology systems with artifact processing pipelines: a showcase for computation and performance trade-offs. BMC Medical Informatics Decis. Mak. 24(1): 288 (2024) - [j27]Mohanad Abukmeil, Øyvind Meinich-Bache, Trygve Eftestøl, Siren Rettedal, Helge Myklebust, Thomas Bailey Tysland, Hege Ersdal, Estomih Mduma, Kjersti Engan:
Analysis and knowledge extraction of newborn resuscitation activities from annotation files. BMC Medical Informatics Decis. Mak. 24(1): 327 (2024) - [c71]Yuandou Wang
PriCE: Privacy-Preserving and Cost-Effective Scheduling for Parallelizing the Large Medical Image Processing Workflow over Hybrid Clouds. Euro-Par (1) 2024: 210-224 - [c70]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: 20-26 - [c69]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: 59-66 - [i21]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 abs/2401.12597 (2024) - [i20]Neel Kanwal, Farbod Khoraminia, Umay Kiraz, Andrés Mosquera-Zamudio, Carlos Monteagudo, Emiel A. M. Janssen, Tahlita C. M. Zuiverloon, Chunming Rong, Kjersti Engan:
Equipping Computational Pathology Systems with Artifact Processing Pipelines: A Showcase for Computation and Performance Trade-offs. CoRR abs/2403.07743 (2024) - [i19]Saul Fuster, Farbod Khoraminia, Julio Silva-Rodríguez, Umay Kiraz, Geert J. L. H. van Leenders, Trygve Eftestøl, Valery Naranjo, Emiel A. M. Janssen, Tahlita C. M. Zuiverloon, Kjersti Engan:
Self-Contrastive Weakly Supervised Learning Framework for Prognostic Prediction Using Whole Slide Images. CoRR abs/2405.15264 (2024) - [i18]Saul Fuster, Umay Kiraz, Trygve Eftestøl, Emiel A. M. Janssen, Kjersti Engan:
NMGrad: Advancing Histopathological Bladder Cancer Grading with Weakly Supervised Deep Learning. CoRR abs/2405.15275 (2024) - [i17]Yuandou Wang, Neel Kanwal, Kjersti Engan, Chunming Rong, Paola Grosso, Zhiming Zhao:
PriCE: Privacy-Preserving and Cost-Effective Scheduling for Parallelizing the Large Medical Image Processing Workflow over Hybrid Clouds. CoRR abs/2405.15398 (2024) - [i16]Jorge García-Torres, Øyvind Meinich-Bache, Anders Johannessen, Siren Rettedal, Vilde Kolstad, Kjersti Engan:
Advancing Newborn Care: Precise Birth Time Detection Using AI-Driven Thermal Imaging with Adaptive Normalization. CoRR abs/2410.10483 (2024) - 2023
- [j26]Luca Tomasetti
CT Perfusion is All we Need: 4D CNN Segmentation of Penumbra and Core in Patients With Suspected Acute Ischemic Stroke. IEEE Access 11: 138936-138953 (2023) - [j25]Jarle Urdal
Automatic prediction of therapeutic activities during newborn resuscitation combining video and signal data. Biomed. Signal Process. Control. 86(Part C): 105290 (2023) - [c68]Fernando Pérez-Bueno
A Robust BKSVD Method for Blind Color Deconvolution and Blood Detection on H &E Histological Images. AIME 2023: 207-217 - [c67]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: 975-979 - [c66]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: 980-984 - [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 - [c64]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: 325-327 - [c63]Christopher Andreassen, Saul Fuster, Helga Hardardottir, Emiel A. M. Janssen, Kjersti Engan:
Deep Learning for Predicting Metastasis on Melanoma Wsis. ISBI 2023: 1-5 - [c62]Luca Tomasetti, Stine Hansen, Mahdieh Khanmohammadi
Self-Supervised Few-Shot Learning for Ischemic Stroke Lesion Segmentation. ISBI 2023: 1-5 - [c61]Neel Kanwal
Vision Transformers for Small Histological Datasets Learned Through Knowledge Distillation. PAKDD (3) 2023: 167-179 - [i15]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. CoRR abs/2302.03014 (2023) - [i14]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 abs/2303.01332 (2023) - [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) - [i12]Christopher Andreassen, Saul Fuster, Helga Hardardottir, Emiel A. M. Janssen, Kjersti Engan:
Deep Learning for Predicting Metastasis on Melanoma WSIs. CoRR abs/2303.05752 (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) - [i9]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 abs/2303.08757 (2023) - [i8]Zahra Tabatabaei, Adrián Colomer, Kjersti Engan, Javier Oliver, Valery Naranjo:
Self-supervised learning of a tailored Convolutional Auto Encoder for histopathological prostate grading. CoRR abs/2303.11837 (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) - [i6]Yuandou Wang, Neel Kanwal, Kjersti Engan, Chunming Rong, Zhiming Zhao:
Towards a privacy-preserving distributed cloud service for preprocessing very large medical images. CoRR abs/2307.06266 (2023) - [i5]Neel Kanwal, Emiel A. M. Janssen, Kjersti Engan:
Balancing Privacy and Progress in Artificial Intelligence: Anonymization in Histopathology for Biomedical Research and Education. CoRR abs/2307.09426 (2023) - [i4]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 abs/2312.08766 (2023) - 2022
- [j24]Neel Kanwal
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: 58821-58844 (2022) - [j23]Luca Tomasetti
Machine Learning Algorithms Versus Thresholding to Segment Ischemic Regions in Patients With Acute Ischemic Stroke. IEEE J. Biomed. Health Informatics 26(2): 660-672 (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
Invasive Cancerous Area Detection in Non-Muscle Invasive Bladder Cancer Whole Slide Images. IVMSP 2022: 1-5 - [c58]Jorge García-Torres
Towards using Thermal Cameras in Birth Detection. IVMSP 2022: 1-5 - [c57]Neel Kanwal
Quantifying the effect of color processing on blood and damaged tissue detection in Whole Slide Images. IVMSP 2022: 1-5 - [c56]Zahra Tabatabaei, Adrián Colomer, Kjersti Engan
Residual block Convolutional Auto Encoder in Content-Based Medical Image Retrieval. IVMSP 2022: 1-5 - [c55]Luca Tomasetti, Mahdieh Khanmohammadi
Multi-input segmentation of damaged brain in acute ischemic stroke patients using slow fusion with skip connection. NLDL 2022 - [i3]Luca Tomasetti, Mahdieh Khanmohammadi, Kjersti Engan, Liv Jorunn Høllesli
Multi-input segmentation of damaged brain in acute ischemic stroke patients using slow fusion with skip connection. CoRR abs/2203.10039 (2022) - 2021
- [j22]Rune Wetteland
Automatic Diagnostic Tool for Predicting Cancer Grade in Bladder Cancer Patients Using Deep Learning. IEEE Access 9: 115813-115825 (2021) - [j21]Sandra Morales
Artificial intelligence in computational pathology - challenges and future directions. Digit. Signal Process. 119: 103196 (2021) - [c54]Rune Wetteland, Kjersti Engan
Parameterized Extraction of Tiles in Multilevel Gigapixel Images. ISPA 2021: 78-83 - [i2]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 abs/2104.03002 (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
Automatic identification of stimulation activities during newborn resuscitation using ECG and accelerometer signals. Comput. Methods Programs Biomed. 193: 105445 (2020) - [j19]Øyvind Meinich-Bache
Object Detection During Newborn Resuscitation Activities. IEEE J. Biomed. Health Informatics 24(3): 796-803 (2020) - [j18]Øyvind Meinich-Bache
Activity Recognition From Newborn Resuscitation Videos. IEEE J. Biomed. Health Informatics 24(11): 3258-3267 (2020) - [c53]Luca Tomasetti, Kjersti Engan
CNN Based Segmentation of Infarcted Regions in Acute Cerebral Stroke Patients From Computed Tomography Perfusion Imaging. BCB 2020: 59:1-59:8 - [c52]Ove Nicolai Dalheim, Rune Wetteland, Vebjørn Kvikstad, Emiel A. M. Janssen, Kjersti Engan:
Semi-supervised Tissue Segmentation of Histological Images. CVCS 2020
2010 – 2019
- 2019
- [c51]Kjell Le, Trygve Eftestøl, Kjersti Engan
Validation of Baseline Wander Removal and Isoelectric Correction in Electrocardiograms Using Clustering. EUSIPCO 2019: 1-5 - [c50]Kjell Le, Trygve Eftestøl, Kjersti Engan
Baseline Wander Removal and Isoelectric Correction in Electrocardiograms Using Clustering. ICASSP 2019: 1274-1278 - [c49]Rune Wetteland, Kjersti Engan
Multiclass Tissue Classification of Whole-Slide Histological Images using Convolutional Neural Networks. ICPRAM 2019: 320-327 - 2018
- [j17]Álvar-Gines Legaz-Aparicio
Noise robust and rotation invariant framework for texture analysis and classification. Appl. Math. Comput. 335: 124-132 (2018) - [c48]Kjell Le, Trygve Eftestøl, Kjersti Engan
Invariant Mean Electrical Axis in Electrocardiogram. CinC 2018: 1-4 - [c47]Kjell Le, Trygve Eftestøl, Kjersti Engan
High Frequency Noise Detection and Handling in ECG Signals. EUSIPCO 2018: 46-50 - [c46]Faraz Barzideh, Jarle Urdal, Hussein Kidanto, Kjersti Engan
Estimation of Missing Data in Fetal Heart Rate Signals Using Shift-Invariant Dictionary. EUSIPCO 2018: 762-766 - [c45]Øyvind Meinich-Bache, Kjersti Engan
Kinect Modelling of Chest Compressions - A Feasibility Study for Chest Compression Depth Measurement Using Digital Strategies. ICIP 2018: 913-917 - 2017
- [j16]Ketil Oppedal, Kjersti Engan
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
Automatic classification of resuscitation activities on birth-asphyxiated newborns using acceleration and ECG signals. Biomed. Signal Process. Control. 36: 20-26 (2017) - [j14]Faraz Barzideh, Karl Skretting, Kjersti Engan
Imposing shift-invariance using Flexible Structure Dictionary Learning (FSDL). Digit. Signal Process. 69: 162-173 (2017) - [j13]Adrián Colomer
Assessment of sparse-based inpainting for retinal vessel removal. Signal Process. Image Commun. 59: 73-82 (2017) - [j12]Ali Bahrami Rad
ECG-Based Classification of Resuscitation Cardiac Rhythms for Retrospective Data Analysis. IEEE Trans. Biomed. Eng. 64(10): 2411-2418 (2017) - [j11]Sandra Morales
Retinal Disease Screening Through Local Binary Patterns. IEEE J. Biomed. Health Informatics 21(1): 184-192 (2017) - [j10]Huyen Vu, Trygve Eftestøl, Kjersti Engan
Automatic Detection and Parameterization of Manual Bag-Mask Ventilation on Newborns. IEEE J. Biomed. Health Informatics 21(2): 527-538 (2017) - [c44]Jarle Urdal, Kjersti Engan
Prognostic prediction of histopathological images by local binary patterns and RUSBoost. EUSIPCO 2017: 2349-2353 - [c43]Mahdieh Khanmohammadi
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
Signal processing and classification for identification of clinically important parameters during neonatal resuscitation. ICSIPA 2017: 547-552 - [c41]Øyvind Meinich-Bache
Robust real-time chest compression rate detection from smartphone video. ISPA 2017: 7-12 - [c40]Øyvind Meinich-Bache
Detecting Chest Compression Depth Using a Smartphone Camera and Motion Segmentation. SCIA (2) 2017: 53-64 - [c39]Karl Skretting, Kjersti Engan
Sparse Approximation by Matching Pursuit Using Shift-Invariant Dictionary. SCIA (1) 2017: 362-373 - 2016
- [c38]Valery Naranjo
Optic cup characterization through sparse representation and dictionary learning. EUSIPCO 2016: 1688-1692 - [c37]Daniel Myklatun Tveit, Kjersti Engan
Motion based detection of respiration rate in infants using video. ICIP 2016: 1225-1229 - [c36]Huyen Vu, Trygve Eftestøl, Kjersti Engan
Detection of Activities During Newborn Resuscitation Based on Short-Time Energy of Acceleration Signal. ICISP 2016: 262-270 - 2015
- [j9]Lasya Priya Kotu
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
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
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
Automatic Detection of Microvascular Obstruction in Patients with Myocardial Infarction. CinC 2015: 757-760 - [c31]Faraz Barzideh, Karl Skretting, Kjersti Engan
The flexible signature dictionary. EUSIPCO 2015: 943-947 - [c30]Sandra Morales
Detection of diabetic retinopathy and age-related macular degeneration from fundus images through local binary patterns and random forests. ICIP 2015: 4838-4842 - [c29]Adrián Colomer
Retinal vessel inpainting using recursive least square dictionary learning algorithm. IPTA 2015: 429-433 - 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
Nearest-manifold classification approach for cardiac arrest rhythm interpretation during resuscitation. ICASSP 2014: 3621-3625 - [c25]Karl Skretting, Kjersti Engan
Energy Minimization by \alpha -Erosion for Supervised Texture Segmentation. ICIAR (1) 2014: 207-214 - [c24]Trygve Eftestøl, Frode Måløy, Kjersti Engan
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
Using local binary pattern to classify dementia in MRI. ISBI 2012: 594-597 - 2011
- [c18]Lasya Priya Kotu, Kjersti Engan
Segmentation of scarred and non-scarred myocardium in LG enhanced CMR images using intensity-based textural analysis. EMBC 2011: 5698-5701 - [c17]Karl Skretting, Kjersti Engan
Image compression using learned dictionaries by RLS-DLA and compared with K-SVD. ICASSP 2011: 1517-1520 - [c16]Lasya Priya Kotu, Kjersti Engan
Texture classification of scarred and non-scarred myocardium in cardiac MRI using learned dictionaries. ICIP 2011: 65-68 - 2010
- [j7]Karl Skretting
Recursive least squares dictionary learning algorithm. IEEE Trans. Signal Process. 58(4): 2121-2130 (2010)
2000 – 2009
- 2007
- [j6]Kjersti Engan
Family of iterative LS-based dictionary learning algorithms, ILS-DLA, for sparse signal representation. Digit. Signal Process. 17(1): 32-49 (2007) - 2005
- [j5]Shane F. Cotter, Bhaskar D. Rao, Kjersti Engan
Sparse solutions to linear inverse problems with multiple measurement vectors. IEEE Trans. Signal Process. 53(7): 2477-2488 (2005) - [c15]Karl Skretting, Kjersti Engan
ECG compression using signal dependent frames and matching pursuit. ICASSP (4) 2005: 585-588 - [c14]Kjersti Engan
Denoising of Images Using Designed Signal Dependent Frames and Matching Pursuit. ICASSP (2) 2005: 653-656 - [c13]Espen Kristoffersen, Ivar Austvoll, Kjersti Engan
Dense motion field estimation using spatial filtering and quasi eigenfunction approximations. ICIP (3) 2005: 1268-1271 - [c12]Kjersti Engan
Compression of digital mammograms with region-of-interest coding evaluated on a CAD system. Image Processing 2005 - [c11]Thor Ole Gulsrud, Kjersti Engan
Feature extraction in digital mammograms based on optimal and morphological filtering. Image Processing 2005 - [c10]Jostein Herredsvela, Thor Ole Gulsrud, Kjersti Engan
Detection of circumscribed masses in mammograms using morphological segmentation. Image Processing 2005 - 2004
- [c9]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: 369-372 - 2003
- [j4]Kenneth Kreutz-Delgado, Joseph F. Murray, Bhaskar D. Rao, Kjersti Engan
Dictionary Learning Algorithms for Sparse Representation. Neural Comput. 15(2): 349-396 (2003) - [j3]Bhaskar D. Rao, Kjersti Engan
Subset selection in noise based on diversity measure minimization. IEEE Trans. Signal Process. 51(3): 760-770 (2003) - [c8]Kjersti Engan, Thor Ole Gulsrud, Kai Ruben Josefsen:
Watermarking of digital mammograms without interfering with automatic detection of microcalcifications. ICIP (1) 2003: 489-492 - 2001
- [j2]Sven Ole Aase, John Håkon Husøy, J. H. H. K. Skretting, Kjersti Engan
Optimized signal expansions for sparse representation. IEEE Trans. Signal Process. 49(5): 1087-1096 (2001) - [c7]Kjersti Engan, John Håkon Husøy, Sven Ole Aase:
Frame based representation and compression of still images. ICIP (2) 2001: 427-430 - 2000
- [b1]Kjersti Engan:
Frame based signal representation and compression. Norwegian University of Science and Technology, Trondheim, Norway, 2000 - [j1]Kjersti Engan
Multi-frame compression: theory and design. Signal Process. 80(10): 2121-2140 (2000) - [c6]Sven Ole Aase, Karl Skretting, John Håkon Husøy, Kjersti Engan
Design of signal expansions for sparse representation. ICASSP 2000: 105-108
1990 – 1999
- 1999
- [c5]Kjersti Engan, Sven Ole Aase, John Håkon Husøy:
Method of optimal directions for frame design. ICASSP 1999: 2443-2446 - [c4]Kjersti Engan, Sven Ole Aase, John Håkon Husøy:
Frame based signal compression using method of optimal directions (MOD). ISCAS (4) 1999: 1-4 - [c3]John Håkon Husøy, Sven Ole Aase, Karl Skretting, Kjersti Engan:
Design of general block oriented expansions for efficient signal representation. ISCAS (3) 1999: 9-12 - 1998
- [c2]Kjersti Engan, John Håkon Husøy, Sven Ole Aase, Hgskolen i Stavanger:
Optimized frame design for a matching pursuit based compression scheme. EUSIPCO 1998: 1-4 - [c1]Kjersti Engan
Designing frames for matching pursuit algorithms. ICASSP 1998: 1817-1820
Coauthor Index
Hege Ersdal
aka: Hege Langli Ersdal
aka: Hege Langli Ersdal
Emiel A. M. Janssen
aka: Emilius A. M. Janssen
aka: Emilius A. M. Janssen
Karl Skretting
aka: J. H. H. K. Skretting
aka: J. H. H. K. Skretting
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