Kjersti Engan - RankMe

135 papers B 10C 5Misc 6Journal 58Unranked 55

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Beyond Core and Penumbra: Bi-Temporal Image-Driven Stroke Evolution Analysis. CoRR Md Sazidur Rahman, Kjersti Engan, Kathinka Dæhli Kurz, Mahdieh Khanmohammadi
2026	J	`jnl`	Can Local Vision-Language Models improve Activity Recognition over Vision Transformers? - Case Study on Newborn Resuscitation. CoRR Enrico Guerriero, Kjersti Engan, Øyvind Meinich-Bache
2025	—	`conf`	AI-Based Thermal Video Analysis in Privacy-Preserving Healthcare: A Case Study on Detecting Time of Birth. ISBI Jorge García-Torres, Øyvind Meinich-Bache, Siren Rettedal, Kjersti Engan
2025	J	`jnl`	AI-Based Thermal Video Analysis in Privacy-Preserving Healthcare: A Case Study on Detecting Time of Birth. CoRR Jorge García-Torres, Øyvind Meinich-Bache, Siren Rettedal, Kjersti Engan
2025	J	`jnl`	Advancing newborn care: Precise time of birth detection using ai-driven thermal imaging with adaptive normalization. Comput. Biol. Medicine Jorge García-Torres, Øyvind Meinich-Bache, Anders Johannessen, Siren Rettedal, Vilde Kolstad, Kjersti Engan
2025	J	`jnl`	Building Trust in Healthcare with Privacy Techniques: Blockchain in the Cloud. CoRR Ferhat Özgür Çatak, Chunming Rong, Øyvind Meinich-Bache, Sara Brunner, Kjersti Engan
2025	—	`conf`	Can Local Vision-Language Models Improve Activity Recognition Over Vision Transformers? - Case Study On Newborn Resuscitation. ICIPW Enrico Guerriero, Kjersti Engan, Øyvind Meinich-Bache
2025	J	`jnl`	FHRFormer: A Self-supervised Transformer Approach for Fetal Heart Rate Inpainting and Forecasting. CoRR Kjersti Engan, Neel Kanwal, Anita Yeconia, Ladislaus Blacy, Yuda Munyaw, Estomih Mduma, Hege Ersdal
2025	—	`conf`	Stroke Simulation: Generative AI for Computed Tomography Perfusion Synthesis. DSP Mahdieh Khanmohammadi, Luca Tomasetti, Ahmed A. Hassan, Ørjan Vier, Carl H. Christiansen, Kjersti Engan, Kathinka Dæhli Kurz
2025	—	`conf`	Two-Stream Thermal Imaging Fusion for Enhanced Time of Birth Detection in Neonatal Care. DSP Jorge García-Torres, Øyvind Meinich-Bache, Sara Brunner, Siren Rettedal, Vilde Kolstad, Kjersti Engan
2025	J	`jnl`	Two-Stream Thermal Imaging Fusion for Enhanced Time of Birth Detection in Neonatal Care. CoRR Jorge García-Torres, Øyvind Meinich-Bache, Sara Brunner, Siren Rettedal, Vilde Kolstad, Kjersti Engan
2024	—	`conf`	A Dual Convolutional Neural Network Pipeline for Melanoma Diagnostics and Prognostics. NLDL Marie Bø-Sande, Edvin Benjaminsen, Neel Kanwal, Saul Fuster, Helga Hardardottir, Ingrid Lundal, Emilius A. M. Janssen, Kjersti Engan
2024	J	`jnl`	Advancing Newborn Care: Precise Birth Time Detection Using AI-Driven Thermal Imaging with Adaptive Normalization. CoRR Jorge García-Torres, Øyvind Meinich-Bache, Anders Johannessen, Siren Rettedal, Vilde Kolstad, Kjersti Engan
2024	J	`jnl`	Analysis and knowledge extraction of newborn resuscitation activities from annotation files. BMC Medical Informatics Decis. Mak. Mohanad Abukmeil, Øyvind Meinich-Bache, Trygve Eftestøl, Siren Rettedal, Helge Myklebust, Thomas Bailey Tysland, Hege Ersdal, Estomih Mduma, Kjersti Engan
2024	J	`jnl`	Are you sure it's an artifact? Artifact detection and uncertainty quantification in histological images. Comput. Medical Imaging Graph. Neel Kanwal, Miguel López-Pérez, Umay Kiraz, Tahlita C. M. Zuiverloon, Rafael Molina, Kjersti Engan
2024	—	`conf`	Comparative Analysis of Binary and Multiclass Activity Recognition in High-Quality Newborn Resuscitation Videos. NLDL Jorge García-Torres, Øyvind Meinich-Bache, Siren Irene Rettedal, Amalie Kibsgaard, Sara Brunner, Kjersti Engan
2024	J	`jnl`	Equipping Computational Pathology Systems with Artifact Processing Pipelines: A Showcase for Computation and Performance Trade-offs. CoRR Neel Kanwal, Farbod Khoraminia, Umay Kiraz, Andrés Mosquera-Zamudio, Carlos Monteagudo, Emiel A. M. Janssen, Tahlita C. M. Zuiverloon, Chunming Rong, Kjersti Engan
2024	J	`jnl`	Equipping computational pathology systems with artifact processing pipelines: a showcase for computation and performance trade-offs. BMC Medical Informatics Decis. Mak. Neel Kanwal, Farbod Khoraminia, Umay Kiraz, Andrés Mosquera-Zamudio, Carlos Monteagudo, Emiel A. M. Janssen, Tahlita C. M. Zuiverloon, Chunming Rong, Kjersti Engan
2024	J	`jnl`	NMGrad: Advancing Histopathological Bladder Cancer Grading with Weakly Supervised Deep Learning. CoRR Saul Fuster, Umay Kiraz, Trygve Eftestøl, Emiel A. M. Janssen, Kjersti Engan
2024	—	`conf`	PriCE: Privacy-Preserving and Cost-Effective Scheduling for Parallelizing the Large Medical Image Processing Workflow over Hybrid Clouds. Euro-Par (1) Yuandou Wang, Neel Kanwal, Kjersti Engan, Chunming Rong, Paola Grosso, Zhiming Zhao
2024	J	`jnl`	PriCE: Privacy-Preserving and Cost-Effective Scheduling for Parallelizing the Large Medical Image Processing Workflow over Hybrid Clouds. CoRR Yuandou Wang, Neel Kanwal, Kjersti Engan, Chunming Rong, Paola Grosso, Zhiming Zhao
2024	J	`jnl`	Robust blind color deconvolution and blood detection on histological images using Bayesian K-SVD. Artif. Intell. Medicine Fernando Pérez-Bueno, Kjersti Engan, Rafael Molina
2024	J	`jnl`	Self-Contrastive Weakly Supervised Learning Framework for Prognostic Prediction Using Whole Slide Images. CoRR 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
2024	B	`conf`	Semi-Supervised Action Recognition From Newborn Resuscitation Videos. ICIP Syed Tahir Hussain Rizvi, Øyvind Meinich-Bache, Vilde Kolstad, Siren Rettedal, Sara Brunner, Kjersti Engan
2024	J	`jnl`	Towards Privacy-, Budget-, and Deadline-Aware Service Optimization for Large Medical Image Processing across Hybrid Clouds. CoRR Yuandou Wang, Neel Kanwal, Kjersti Engan, Chunming Rong, Paola Grosso, Zhiming Zhao
2023	J	`jnl`	A Dual Convolutional Neural Network Pipeline for Melanoma Diagnostics and Prognostics. CoRR Marie Bø-Sande, Edvin Benjaminsen, Neel Kanwal, Saul Fuster, Helga Hardardottir, Ingrid Lundal, Emiel A. M. Janssen, Kjersti Engan
2023	B	`conf`	A Robust BKSVD Method for Blind Color Deconvolution and Blood Detection on H &E Histological Images. AIME Fernando Pérez-Bueno, Kjersti Engan, Rafael Molina
2023	—	`conf`	Active Learning Based Domain Adaptation for Tissue Segmentation of Histopathological Images. EUSIPCO Saul Fuster, Farbod Khoraminia, Trygve Eftestøl, Tahlita C. M. Zuiverloon, Kjersti Engan
2023	J	`jnl`	Active Learning Based Domain Adaptation for Tissue Segmentation of Histopathological Images. CoRR Saul Fuster, Farbod Khoraminia, Trygve Eftestøl, Tahlita C. M. Zuiverloon, Kjersti Engan
2023	J	`jnl`	Activity Recognition From Newborn Resuscitation Videos. CoRR Øyvind Meinich-Bache, Simon Lennart Austnes, Kjersti Engan, Ivar Austvoll, Trygve Eftestøl, Helge Myklebust, Simeon Kusulla, Hussein Kidanto, Hege Ersdal
2023	J	`jnl`	Automatic prediction of therapeutic activities during newborn resuscitation combining video and signal data. Biomed. Signal Process. Control. Jarle Urdal, Kjersti Engan, Trygve Eftestøl, Øyvind Meinich-Bache, Ingunn Anda Haug, Paschal Francis Mdoe, Esto Mduma, Ladislaus Blacy Yarrot, Hussein Kidanto, Hege Ersdal
2023	J	`jnl`	Balancing Privacy and Progress in Artificial Intelligence: Anonymization in Histopathology for Biomedical Research and Education. CoRR Neel Kanwal, Emiel A. M. Janssen, Kjersti Engan
2023	J	`jnl`	CT Perfusion is All we Need: 4D CNN Segmentation of Penumbra and Core in Patients With Suspected Acute Ischemic Stroke. IEEE Access Luca Tomasetti, Kjersti Engan, Liv Jorunn Høllesli, Kathinka Dæhli Kurz, Mahdieh Khanmohammadi
2023	J	`jnl`	Deep Learning for Predicting Metastasis on Melanoma WSIs. CoRR Christopher Andreassen, Saul Fuster, Helga Hardardottir, Emiel A. M. Janssen, Kjersti Engan
2023	—	`conf`	Deep Learning for Predicting Metastasis on Melanoma Wsis. ISBI Christopher Andreassen, Saul Fuster, Helga Hardardottir, Emiel A. M. Janssen, Kjersti Engan
2023	—	`conf`	Detection and Localization of Melanoma Skin Cancer in Histopathological Whole Slide Images. EUSIPCO Neel Kanwal, Roger Amundsen, Helga Hardardottir, Luca Tomasetti, Erling Sandøy Undersrud, Emiel A. M. Janssen, Kjersti Engan
2023	J	`jnl`	Detection and Localization of Melanoma Skin Cancer in Histopathological Whole Slide Images. CoRR Neel Kanwal, Roger Amundsen, Helga Hardardottir, Luca Tomasetti, Erling Sandøy Undersrud, Emiel A. M. Janssen, Kjersti Engan
2023	J	`jnl`	Exploiting 4D CT Perfusion for segmenting infarcted areas in patients with suspected acute ischemic stroke. CoRR Luca Tomasetti, Kjersti Engan, Liv Jorunn Høllesli, Kathinka Dæhli Kurz, Mahdieh Khanmohammadi
2023	J	`jnl`	Object Detection During Newborn Resuscitation Activities. CoRR Øyvind Meinich-Bache, Kjersti Engan, Ivar Austvoll, Trygve Eftestøl, Helge Myklebust, Ladislaus Blacy Yarrot, Hussein Kidanto, Hege Ersdal
2023	—	`conf`	Self-Supervised Few-Shot Learning for Ischemic Stroke Lesion Segmentation. ISBI Luca Tomasetti, Stine Hansen, Mahdieh Khanmohammadi, Kjersti Engan, Liv Jorunn Høllesli, Kathinka Dæhli Kurz, Michael Kampffmeyer
2023	J	`jnl`	Self-Supervised Few-Shot Learning for Ischemic Stroke Lesion Segmentation. CoRR Luca Tomasetti, Stine Hansen, Mahdieh Khanmohammadi, Kjersti Engan, Liv Jorunn Høllesli, Kathinka Dæhli Kurz, Michael Kampffmeyer
2023	—	`conf`	Self-supervised learning of a tailored Convolutional Auto Encoder for histopathological prostate grading. EUSIPCO Zahra Tabatabaei, Adrián Colomer, Kjersti Engan, Javier Oliver, Valery Naranjo
2023	J	`jnl`	Self-supervised learning of a tailored Convolutional Auto Encoder for histopathological prostate grading. CoRR Zahra Tabatabaei, Adrián Colomer, Kjersti Engan, Javier Oliver, Valery Naranjo
2023	—	`conf`	Towards a Privacy-Preserving Distributed Cloud Service for Preprocessing Very Large Medical Images. ICDH Yuandou Wang, Neel Kanwal, Kjersti Engan, Chunming Rong, Zhiming Zhao
2023	J	`jnl`	Towards a privacy-preserving distributed cloud service for preprocessing very large medical images. CoRR Yuandou Wang, Neel Kanwal, Kjersti Engan, Chunming Rong, Zhiming Zhao
2023	—	`conf`	Vision Transformers for Small Histological Datasets Learned Through Knowledge Distillation. PAKDD (3) Neel Kanwal, Trygve Eftestøl, Farbod Khoraminia, Tahlita C. M. Zuiverloon, Kjersti Engan
2023	J	`jnl`	Vision Transformers for Small Histological Datasets Learned through Knowledge Distillation. CoRR Neel Kanwal, Trygve Eftestøl, Farbod Khoraminia, Tahlita C. M. Zuiverloon, Kjersti Engan
2022	—	`conf`	Invasive Cancerous Area Detection in Non-Muscle Invasive Bladder Cancer Whole Slide Images. IVMSP Saul Fuster, Farbod Khoraminia, Umay Kiraz, Neel Kanwal, Vebjørn Kvikstad, Trygve Eftestøl, Tahlita C. M. Zuiverloon, Emiel A. M. Janssen, Kjersti Engan
2022	J	`jnl`	Machine Learning Algorithms Versus Thresholding to Segment Ischemic Regions in Patients With Acute Ischemic Stroke. IEEE J. Biomed. Health Informatics Luca Tomasetti, Liv Jorunn Høllesli, Kjersti Engan, Kathinka Dæhli Kurz, Martin Wilhelm Kurz, Mahdieh Khanmohammadi
2022	—	`conf`	Multi-input segmentation of damaged brain in acute ischemic stroke patients using slow fusion with skip connection. NLDL Luca Tomasetti, Mahdieh Khanmohammadi, Kjersti Engan, Liv Jorunn Høllesli, Kathinka Dæhli Kurz
2022	J	`jnl`	Multi-input segmentation of damaged brain in acute ischemic stroke patients using slow fusion with skip connection. CoRR Luca Tomasetti, Mahdieh Khanmohammadi, Kjersti Engan, Liv Jorunn Høllesli, Kathinka Dæhli Kurz
2022	C	`conf`	Nested Multiple Instance Learning with Attention Mechanisms. ICMLA Saul Fuster, Trygve Eftestøl, Kjersti Engan
2022	—	`conf`	Quantifying the effect of color processing on blood and damaged tissue detection in Whole Slide Images. IVMSP Neel Kanwal, Saul Fuster, Farbod Khoraminia, Tahlita C. M. Zuiverloon, Chunming Rong, Kjersti Engan
2022	—	`conf`	Residual block Convolutional Auto Encoder in Content-Based Medical Image Retrieval. IVMSP Zahra Tabatabaei, Adrián Colomer, Kjersti Engan, Javier Oliver, Valery Naranjo
2022	J	`jnl`	The Devil is in the Details: Whole Slide Image Acquisition and Processing for Artifacts Detection, Color Variation, and Data Augmentation: A Review. IEEE Access Neel Kanwal, Fernando Pérez-Bueno, Arne Schmidt, Kjersti Engan, Rafael Molina
2022	—	`conf`	Towards using Thermal Cameras in Birth Detection. IVMSP Jorge García-Torres, Øyvind Meinich-Bache, Sara Brunner, Anders Johannessen, Siren Rettedal, Kjersti Engan
2021	J	`jnl`	Artificial intelligence in computational pathology - challenges and future directions. Digit. Signal Process. Sandra Morales, Kjersti Engan, Valery Naranjo
2021	J	`jnl`	Automatic Diagnostic Tool for Predicting Cancer Grade in Bladder Cancer Patients Using Deep Learning. IEEE Access Rune Wetteland, Vebjørn Kvikstad, Trygve Eftestøl, Erlend Tøssebro, Melinda Lillesand, Emiel A. M. Janssen, Kjersti Engan
2021	J	`jnl`	CNN Based Segmentation of Infarcted Regions in Acute Cerebral Stroke Patients From Computed Tomography Perfusion Imaging. CoRR Luca Tomasetti, Kjersti Engan, Mahdieh Khanmohammadi, Kathinka Dæhli Kurz
2021	J	`jnl`	Nested Multiple Instance Learning with Attention Mechanisms. CoRR Saul Fuster, Trygve Eftestøl, Kjersti Engan
2021	C	`conf`	Parameterized Extraction of Tiles in Multilevel Gigapixel Images. ISPA Rune Wetteland, Kjersti Engan, Trygve Eftesol
2020	J	`jnl`	Activity Recognition From Newborn Resuscitation Videos. IEEE J. Biomed. Health Informatics Øyvind Meinich-Bache, Simon Lennart Austnes, Kjersti Engan, Ivar Austvoll, Trygve Eftestøl, Helge Myklebust, Simeon Kusulla, Hussein Kidanto, Hege Ersdal
2020	J	`jnl`	Automatic identification of stimulation activities during newborn resuscitation using ECG and accelerometer signals. Comput. Methods Programs Biomed. Jarle Urdal, Kjersti Engan, Trygve Eftestøl, Valery Naranjo, Ingunn Anda Haug, Anita Yeconia, Hussein Kidanto, Hege Ersdal
2020	—	`conf`	CNN Based Segmentation of Infarcted Regions in Acute Cerebral Stroke Patients From Computed Tomography Perfusion Imaging. BCB Luca Tomasetti, Kjersti Engan, Mahdieh Khanmohammadi, Kathinka Dæhli Kurz
2020	J	`jnl`	Object Detection During Newborn Resuscitation Activities. IEEE J. Biomed. Health Informatics Øyvind Meinich-Bache, Kjersti Engan, Ivar Austvoll, Trygve Eftestøl, Helge Myklebust, Ladislaus Blacy Yarrot, Hussein Kidanto, Hege Ersdal
2020	—	`conf`	Semi-supervised Tissue Segmentation of Histological Images. CVCS Ove Nicolai Dalheim, Rune Wetteland, Vebjørn Kvikstad, Emiel A. M. Janssen, Kjersti Engan
2019	Misc	`conf`	Baseline Wander Removal and Isoelectric Correction in Electrocardiograms Using Clustering. ICASSP Kjell Le, Trygve Eftestøl, Kjersti Engan, Øyunn Kleiven, Stein Ørn
2019	C	`conf`	Multiclass Tissue Classification of Whole-Slide Histological Images using Convolutional Neural Networks. ICPRAM Rune Wetteland, Kjersti Engan, Trygve Eftestøl, Vebjørn Kvikstad, Emilius A. M. Janssen
2019	—	`conf`	Validation of Baseline Wander Removal and Isoelectric Correction in Electrocardiograms Using Clustering. EUSIPCO Kjell Le, Trygve Eftestøl, Kjersti Engan, Øyunn Kleiven, Stein Ørn
2018	—	`conf`	Estimation of Missing Data in Fetal Heart Rate Signals Using Shift-Invariant Dictionary. EUSIPCO Faraz Barzideh, Jarle Urdal, Hussein Kidanto, Kjersti Engan, Karl Skretting, Paschal Francis Mdoe, Benjamin Kamala, Sara Brunner
2018	—	`conf`	High Frequency Noise Detection and Handling in ECG Signals. EUSIPCO Kjell Le, Trygve Eftestøl, Kjersti Engan, Stein Ørn, Øyunn Kleiven
2018	—	`conf`	Invariant Mean Electrical Axis in Electrocardiogram. CinC Kjell Le, Trygve Eftestøl, Kjersti Engan, Øyunn Kleiven, Stein Ørn
2018	B	`conf`	Kinect Modelling of Chest Compressions - A Feasibility Study for Chest Compression Depth Measurement Using Digital Strategies. ICIP Øyvind Meinich-Bache, Kjersti Engan, Trygve Eftestphil, Ivar Austvoll
2018	J	`jnl`	Noise robust and rotation invariant framework for texture analysis and classification. Appl. Math. Comput. Álvar-Gines Legaz-Aparicio, Rafael Verdú Monedero, Kjersti Engan
2017	J	`jnl`	Assessment of sparse-based inpainting for retinal vessel removal. Signal Process. Image Commun. Adrián Colomer, Valery Naranjo, Kjersti Engan, Karl Skretting
2017	J	`jnl`	Automatic Detection and Parameterization of Manual Bag-Mask Ventilation on Newborns. IEEE J. Biomed. Health Informatics Huyen Vu, Trygve Eftestøl, Kjersti Engan, Joar Eilevstjønn, Ladislaus Blacy Yarrot, Jørgen E. Linde, Hege Langli Ersdal
2017	J	`jnl`	Automatic classification of resuscitation activities on birth-asphyxiated newborns using acceleration and ECG signals. Biomed. Signal Process. Control. Huyen Vu, Kjersti Engan, Trygve Eftestøl, Aggelos K. Katsaggelos, Samwel Jatosh, Simeon Kusulla, Estomih Mduma, Hussein Kidanto, Hege Ersdal
2017	J	`jnl`	Classifying Alzheimer's disease, Lewy body dementia, and normal controls using 3D texture analysis in magnetic resonance images. Biomed. Signal Process. Control. Ketil Oppedal, Kjersti Engan, Trygve Eftestøl, Mona K. Beyer, Dag Aarsland
2017	—	`conf`	Detecting Chest Compression Depth Using a Smartphone Camera and Motion Segmentation. SCIA (2) Øyvind Meinich-Bache, Kjersti Engan, Trygve Eftestøl, Ivar Austvoll
2017	J	`jnl`	ECG-Based Classification of Resuscitation Cardiac Rhythms for Retrospective Data Analysis. IEEE Trans. Biomed. Eng. Ali Bahrami Rad, Trygve Eftestøl, Kjersti Engan, Unai Irusta, Jan Terje Kvaløy, Jo Kramer-Johansen, Lars Wik, Aggelos K. Katsaggelos
2017	J	`jnl`	Imposing shift-invariance using Flexible Structure Dictionary Learning (FSDL). Digit. Signal Process. Faraz Barzideh, Karl Skretting, Kjersti Engan
2017	—	`conf`	Prognostic prediction of histopathological images by local binary patterns and RUSBoost. EUSIPCO Jarle Urdal, Kjersti Engan, Vebjom Kvikstad, Emilius A. M. Janssen
2017	J	`jnl`	Retinal Disease Screening Through Local Binary Patterns. IEEE J. Biomed. Health Informatics Sandra Morales, Kjersti Engan, Valery Naranjo, Adrián Colomer
2017	C	`conf`	Robust real-time chest compression rate detection from smartphone video. ISPA Øyvind Meinich-Bache, Kjersti Engan, Tonje S. Birkenes, Helge Myklebust
2017	—	`conf`	Segmentation of coronary arteries from X-ray angiography sequences during contrast fluid propagation by image registration. GlobalSIP Mahdieh Khanmohammadi, Kjersti Engan, Trygve Eftestøl, C. Soland, A. I. Larsen
2017	—	`conf`	Signal processing and classification for identification of clinically important parameters during neonatal resuscitation. ICSIPA Jarle Urdal, Kjersti Engan, Trygve Eftestøl, Hussein Kidanto, Ladislaus Blacy Yarrot, Joar Eilevstjønn, Hege Ersdal
2017	—	`conf`	Sparse Approximation by Matching Pursuit Using Shift-Invariant Dictionary. SCIA (1) Karl Skretting, Kjersti Engan
2016	C	`conf`	Detection of Activities During Newborn Resuscitation Based on Short-Time Energy of Acceleration Signal. ICISP Huyen Vu, Trygve Eftestøl, Kjersti Engan, Joar Eilevstjønn, Ladislaus Blacy Yarrot, Jørgen E. Linde, Hege Ersdal
2016	B	`conf`	Motion based detection of respiration rate in infants using video. ICIP Daniel Myklatun Tveit, Kjersti Engan, Ivar Austvoll, Øyvind Meinich-Bache
2016	—	`conf`	Optic cup characterization through sparse representation and dictionary learning. EUSIPCO Valery Naranjo, Carlos J. Saez, Sandra Morales, Kjersti Engan, Soledad Gomez
2015	—	`conf`	Automatic Detection of Microvascular Obstruction in Patients with Myocardial Infarction. CinC Trygve Eftestøl, Erlend Singsaas, Kjersti Engan, Leik Woie, Stein Ørn
2015	J	`jnl`	Cardiac magnetic resonance image-based classification of the risk of arrhythmias in post-myocardial infarction patients. Artif. Intell. Medicine Lasya Priya Kotu, Kjersti Engan, Reza Borhani, Aggelos K. Katsaggelos, Stein Ørn, Leik Woie, Trygve Eftestøl
2015	J	`jnl`	Classifying Dementia Using Local Binary Patterns from Different Regions in Magnetic Resonance Images. Int. J. Biomed. Imaging Ketil Oppedal, Trygve Eftestøl, Kjersti Engan, Mona K. Beyer, Dag Aarsland
2015	B	`conf`	Detection of diabetic retinopathy and age-related macular degeneration from fundus images through local binary patterns and random forests. ICIP Sandra Morales, Kjersti Engan, Valery Naranjo, Adrián Colomer
2015	—	`conf`	Exploratory Analysis of Ventilation Signals from Resuscitation Data of Newborns. BIOSIGNALS Huyen Vu, Trygve Eftestøl, Kjersti Engan, Joar Eilevstjønn, Jørgen E. Linde, Hege Ersdal
2015	—	`conf`	Exploring the Relationship Between Characteristics of Ventilation Performance and Response of Newborns During Resuscitation. BIOSTEC (Selected Papers) Huyen Vu, Trygve Eftestøl, Kjersti Engan, Joar Eilevstjønn, Ladislaus Blacy Yarrot, Jørgen E. Linde, Hege Ersdal
2015	—	`conf`	Retinal vessel inpainting using recursive least square dictionary learning algorithm. IPTA Adrián Colomer, Valery Naranjo, Kjersti Engan, Karl Skretting
2015	—	`conf`	Segmentation of LG Enhanced Cardiac MRI . BIOIMAGING Kjersti Engan, Valery Naranjo, Trygve Eftestøl, Stein Ørn, Leik Woie
2015	—	`conf`	The flexible signature dictionary. EUSIPCO Faraz Barzideh, Karl Skretting, Kjersti Engan
2014	B	`conf`	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 Trygve Eftestøl, Frode Måløy, Kjersti Engan, Lasya Priya Kotu, Leik Woie, Stein Ørn
2014	—	`conf`	Defining Angular and Radial Positions and Parameters for Myocardial Pixels in Cardiac MR Images. CinC Kjersti Engan, Leik Woie, Trygve Eftestøl
2014	—	`conf`	Energy Minimization by \alpha -Erosion for Supervised Texture Segmentation. ICIAR (1) Karl Skretting, Kjersti Engan
2014	—	`conf`	Exploratory Analysis of Heart Rate Changes in Newborns to Investigate the Effectiveness of Bag-Mask Ventilation. CinC Huyen Vu, Trygve Eftestøl, Kjersti Engan, Joar Eilevstjønn, Jørgen E. Linde, Hege Ersdal
2014	Misc	`conf`	Nearest-manifold classification approach for cardiac arrest rhythm interpretation during resuscitation. ICASSP Ali Bahrami Rad, Trygve Eftestøl, Jan Terje Kvaløy, Unai Ayala, Jo Kramer-Johansen, Kjersti Engan
2013	—	`conf`	Automatic Segmentation of the Epicardium in Late Gadolinium Enhanced Cardiac MR Images. CinC Kjersti Engan, Valery Naranjo, Trygve Eftestøl, Stein Ørn, Leik Woie
2013	—	`conf`	Measuring the Degree of Fibrosity in Myocardial Scars fromLate Gadolinium-Enhanced Cardiovascular Magnetic Resonance Images. CinC Frode Måløy, Leik Woie, Trygve Eftestøl, Kjersti Engan, Stein Ørn
2013	—	`conf`	Probabilistic Classification Approaches for Cardiac Arrest Rhythm Interpretation during Resuscitation. CinC Ali Bahrami Rad, Trygve Eftestøl, Jan Terje Kvaløy, Unai Ayala, Jo Kramer-Johansen, Kjersti Engan
2012	—	`conf`	Local Binary Patterns used on Cardiac MRI to classify high and low risk patient groups. EUSIPCO Lasya Priya Kotu, Kjersti Engan, Trygve Eftestøl, Leik Woie, Stein Ørn, Aggelos K. Katsaggelos
2012	—	`conf`	Using local binary pattern to classify dementia in MRI. ISBI Ketil Oppedal, Kjersti Engan, Dag Aarsland, Mona K. Beyer, Ole-Bjorn Tysnes, Trygve Eftestøl
2011	Misc	`conf`	Image compression using learned dictionaries by RLS-DLA and compared with K-SVD. ICASSP Karl Skretting, Kjersti Engan
2011	—	`conf`	Segmentation of scarred and non-scarred myocardium in LG enhanced CMR images using intensity-based textural analysis. EMBC Lasya Priya Kotu, Kjersti Engan, Trygve Eftestøl, Stein Ørn, Leik Woie
2011	B	`conf`	Texture classification of scarred and non-scarred myocardium in cardiac MRI using learned dictionaries. ICIP Lasya Priya Kotu, Kjersti Engan, Trygve Eftestøl, Stein Ørn, Leik Woie
2010	J	`jnl`	Recursive least squares dictionary learning algorithm. IEEE Trans. Signal Process. Karl Skretting, Kjersti Engan
2007	J	`jnl`	Family of iterative LS-based dictionary learning algorithms, ILS-DLA, for sparse signal representation. Digit. Signal Process. Kjersti Engan, Karl Skretting, John Håkon Husøy
2005	B	`conf`	Compression of digital mammograms with region-of-interest coding evaluated on a CAD system. Image Processing Kjersti Engan, Martin Ruoff Lillo, Thor Ole Gulsrud
2005	—	`conf`	Denoising of Images Using Designed Signal Dependent Frames and Matching Pursuit. ICASSP (2) Kjersti Engan, Karl Skretting, John Håkon Husøy
2005	—	`conf`	Dense motion field estimation using spatial filtering and quasi eigenfunction approximations. ICIP (3) Espen Kristoffersen, Ivar Austvoll, Kjersti Engan
2005	B	`conf`	Detection of circumscribed masses in mammograms using morphological segmentation. Image Processing Jostein Herredsvela, Thor Ole Gulsrud, Kjersti Engan
2005	—	`conf`	ECG compression using signal dependent frames and matching pursuit. ICASSP (4) Karl Skretting, Kjersti Engan, John Håkon Husøy
2005	B	`conf`	Feature extraction in digital mammograms based on optimal and morphological filtering. Image Processing Thor Ole Gulsrud, Kjersti Engan, Jostein Herredsvela
2005	J	`jnl`	Sparse solutions to linear inverse problems with multiple measurement vectors. IEEE Trans. Signal Process. Shane F. Cotter, Bhaskar D. Rao, Kjersti Engan, Kenneth Kreutz-Delgado
2004	—	`conf`	Diversity measure minimization based method for computing sparse solutions to linear inverse problems with multiple measurement vectors. ICASSP (2) Bhaskar D. Rao, Kjersti Engan, Shane F. Cotter
2003	J	`jnl`	Dictionary Learning Algorithms for Sparse Representation. Neural Comput. Kenneth Kreutz-Delgado, Joseph F. Murray, Bhaskar D. Rao, Kjersti Engan, Te-Won Lee, Terrence J. Sejnowski
2003	J	`jnl`	Subset selection in noise based on diversity measure minimization. IEEE Trans. Signal Process. Bhaskar D. Rao, Kjersti Engan, Shane F. Cotter, Jason A. Palmer, Kenneth Kreutz-Delgado
2003	—	`conf`	Watermarking of digital mammograms without interfering with automatic detection of microcalcifications. ICIP (1) Kjersti Engan, Thor Ole Gulsrud, Kai Ruben Josefsen
2001	—	`conf`	Frame based representation and compression of still images. ICIP (2) Kjersti Engan, John Håkon Husøy, Sven Ole Aase
2001	J	`jnl`	Optimized signal expansions for sparse representation. IEEE Trans. Signal Process. Sven Ole Aase, John Håkon Husøy, J. H. H. K. Skretting, Kjersti Engan
2000	Misc	`conf`	Design of signal expansions for sparse representation. ICASSP Sven Ole Aase, Karl Skretting, John Håkon Husøy, Kjersti Engan
2000	—	`—`	Frame based signal representation and compression. Kjersti Engan
2000	J	`jnl`	Multi-frame compression: theory and design. Signal Process. Kjersti Engan, Sven Ole Aase, John Håkon Husøy
1999	—	`conf`	Design of general block oriented expansions for efficient signal representation. ISCAS (3) John Håkon Husøy, Sven Ole Aase, Karl Skretting, Kjersti Engan
1999	—	`conf`	Frame based signal compression using method of optimal directions (MOD). ISCAS (4) Kjersti Engan, Sven Ole Aase, John Håkon Husøy
1999	Misc	`conf`	Method of optimal directions for frame design. ICASSP Kjersti Engan, Sven Ole Aase, John Håkon Husøy
1998	Misc	`conf`	Designing frames for matching pursuit algorithms. ICASSP Kjersti Engan, Sven Ole Aase, John Håkon Husøy
1998	—	`conf`	Optimized frame design for a matching pursuit based compression scheme. EUSIPCO Kjersti Engan, John Håkon Husøy, Sven Ole Aase, Hgskolen i Stavanger