Optimized frame design for a matching pursuit based compression scheme. - Kjersti Engan; John Håkon Husøy; Sven Ole Aase; Hgskolen i Stavanger (EUSIPCO, 1998)

Designing frames for matching pursuit algorithms. - Kjersti Engan; Sven Ole Aase; John Håkon Husøy (ICASSP, 1998)

Method of optimal directions for frame design. - Kjersti Engan; Sven Ole Aase; John Håkon Husøy (ICASSP, 1999)

Frame based signal compression using method of optimal directions (MOD). - Kjersti Engan; Sven Ole Aase; John Håkon Husøy (ISCAS (4), 1999)

Design of general block oriented expansions for efficient signal representation. - John Håkon Husøy; Sven Ole Aase; Karl Skretting; Kjersti Engan (ISCAS (3), 1999)

Design of signal expansions for sparse representation. - Sven Ole Aase; Karl Skretting; John Håkon Husøy; Kjersti Engan (ICASSP, 2000)

Multi-frame compression: theory and design. - Kjersti Engan; Sven Ole Aase; John Håkon Husøy (Signal Process., 2000)

Frame based signal representation and compression. - Kjersti Engan (2000)

Frame based representation and compression of still images. - Kjersti Engan; John Håkon Husøy; Sven Ole Aase (ICIP (2), 2001)

Optimized signal expansions for sparse representation. - Sven Ole Aase; John Håkon Husøy; J. H. H. K. Skretting; Kjersti Engan (IEEE Trans. Signal Process., 2001)

Watermarking of digital mammograms without interfering with automatic detection of microcalcifications. - Kjersti Engan; Thor Ole Gulsrud; Kai Ruben Josefsen (ICIP (1), 2003)

Dictionary Learning Algorithms for Sparse Representation. - Kenneth Kreutz-Delgado; Joseph F. Murray; Bhaskar D. Rao; Kjersti Engan; Te-Won Lee; Terrence J. Sejnowski (Neural Comput., 2003)

Subset selection in noise based on diversity measure minimization. - Bhaskar D. Rao; Kjersti Engan; Shane F. Cotter; Jason A. Palmer; Kenneth Kreutz-Delgado (IEEE Trans. Signal Process., 2003)

Diversity measure minimization based method for computing sparse solutions to linear inverse problems with multiple measurement vectors. - Bhaskar D. Rao; Kjersti Engan; Shane F. Cotter (ICASSP (2), 2004)

Denoising of Images Using Designed Signal Dependent Frames and Matching Pursuit. - Kjersti Engan; Karl Skretting; John Håkon Husøy (ICASSP (2), 2005)

ECG compression using signal dependent frames and matching pursuit. - Karl Skretting; Kjersti Engan; John Håkon Husøy (ICASSP (4), 2005)

Dense motion field estimation using spatial filtering and quasi eigenfunction approximations. - Espen Kristoffersen; Ivar Austvoll; Kjersti Engan (ICIP (3), 2005)

Compression of digital mammograms with region-of-interest coding evaluated on a CAD system. - Kjersti Engan; Martin Ruoff Lillo; Thor Ole Gulsrud (Image Processing, 2005)

Feature extraction in digital mammograms based on optimal and morphological filtering. - Thor Ole Gulsrud; Kjersti Engan; Jostein Herredsvela (Image Processing, 2005)

Detection of circumscribed masses in mammograms using morphological segmentation. - Jostein Herredsvela; Thor Ole Gulsrud; Kjersti Engan (Image Processing, 2005)

Sparse solutions to linear inverse problems with multiple measurement vectors. - Shane F. Cotter; Bhaskar D. Rao; Kjersti Engan; Kenneth Kreutz-Delgado (IEEE Trans. Signal Process., 2005)

Family of iterative LS-based dictionary learning algorithms, ILS-DLA, for sparse signal representation. - Kjersti Engan; Karl Skretting; John Håkon Husøy (Digit. Signal Process., 2007)

Recursive least squares dictionary learning algorithm. - Karl Skretting; Kjersti Engan (IEEE Trans. Signal Process., 2010)

Segmentation of scarred and non-scarred myocardium in LG enhanced CMR images using intensity-based textural analysis. - Lasya Priya Kotu; Kjersti Engan; Trygve Eftestøl; Stein Ørn; Leik Woie (EMBC, 2011)

Image compression using learned dictionaries by RLS-DLA and compared with K-SVD. - Karl Skretting; Kjersti Engan (ICASSP, 2011)

Texture classification of scarred and non-scarred myocardium in cardiac MRI using learned dictionaries. - Lasya Priya Kotu; Kjersti Engan; Trygve Eftestøl; Stein Ørn; Leik Woie (ICIP, 2011)

Local Binary Patterns used on Cardiac MRI to classify high and low risk patient groups. - Lasya Priya Kotu; Kjersti Engan; Trygve Eftestøl; Leik Woie; Stein Ørn; Aggelos K. Katsaggelos (EUSIPCO, 2012)

Using local binary pattern to classify dementia in MRI. - Ketil Oppedal; Kjersti Engan; Dag Aarsland; Mona K. Beyer; Ole-Bjorn Tysnes; Trygve Eftestøl (ISBI, 2012)

Automatic Segmentation of the Epicardium in Late Gadolinium Enhanced Cardiac MR Images. - Kjersti Engan; Valery Naranjo; Trygve Eftestøl; Stein Ørn; Leik Woie (CinC, 2013)

Measuring the Degree of Fibrosity in Myocardial Scars fromLate Gadolinium-Enhanced Cardiovascular Magnetic Resonance Images. - Frode Måløy; Leik Woie; Trygve Eftestøl; Kjersti Engan; Stein Ørn (CinC, 2013)

Probabilistic Classification Approaches for Cardiac Arrest Rhythm Interpretation during Resuscitation. - Ali Bahrami Rad; Trygve Eftestøl; Jan Terje Kvaløy; Unai Ayala; Jo Kramer-Johansen; Kjersti Engan (CinC, 2013)

Defining Angular and Radial Positions and Parameters for Myocardial Pixels in Cardiac MR Images. - Kjersti Engan; Leik Woie; Trygve Eftestøl (CinC, 2014)

Exploratory Analysis of Heart Rate Changes in Newborns to Investigate the Effectiveness of Bag-Mask Ventilation. - Huyen Vu; Trygve Eftestøl; Kjersti Engan; Joar Eilevstjønn; Jørgen E. Linde; Hege Ersdal (CinC, 2014)

Nearest-manifold classification approach for cardiac arrest rhythm interpretation during resuscitation. - Ali Bahrami Rad; Trygve Eftestøl; Jan Terje Kvaløy; Unai Ayala; Jo Kramer-Johansen; Kjersti Engan (ICASSP, 2014)

Energy Minimization by alpha -Erosion for Supervised Texture Segmentation. - Karl Skretting; Kjersti Engan (ICIAR (1), 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. - Trygve Eftestøl; Frode Måløy; Kjersti Engan; Lasya Priya Kotu; Leik Woie; Stein Ørn (ICIP, 2014)

Segmentation of LG Enhanced Cardiac MRI . - Kjersti Engan; Valery Naranjo; Trygve Eftestøl; Stein Ørn; Leik Woie (BIOIMAGING, 2015)

Exploratory Analysis of Ventilation Signals from Resuscitation Data of Newborns. - Huyen Vu; Trygve Eftestøl; Kjersti Engan; Joar Eilevstjønn; Jørgen E. Linde; Hege Ersdal (BIOSIGNALS, 2015)

Exploring the Relationship Between Characteristics of Ventilation Performance and Response of Newborns During Resuscitation. - Huyen Vu; Trygve Eftestøl; Kjersti Engan; Joar Eilevstjønn; Ladislaus Blacy Yarrot; Jørgen E. Linde; Hege Ersdal (BIOSTEC (Selected Papers), 2015)

Automatic Detection of Microvascular Obstruction in Patients with Myocardial Infarction. - Trygve Eftestøl; Erlend Singsaas; Kjersti Engan; Leik Woie; Stein Ørn (CinC, 2015)

The flexible signature dictionary. - Faraz Barzideh; Karl Skretting; Kjersti Engan (EUSIPCO, 2015)

Detection of diabetic retinopathy and age-related macular degeneration from fundus images through local binary patterns and random forests. - Sandra Morales; Kjersti Engan; Valery Naranjo; Adrián Colomer (ICIP, 2015)

Retinal vessel inpainting using recursive least square dictionary learning algorithm. - Adrián Colomer; Valery Naranjo; Kjersti Engan; Karl Skretting (IPTA, 2015)

Cardiac magnetic resonance image-based classification of the risk of arrhythmias in post-myocardial infarction patients. - Lasya Priya Kotu; Kjersti Engan; Reza Borhani; Aggelos K. Katsaggelos; Stein Ørn; Leik Woie; Trygve Eftestøl (Artif. Intell. Medicine, 2015)

Classifying Dementia Using Local Binary Patterns from Different Regions in Magnetic Resonance Images. - Ketil Oppedal; Trygve Eftestøl; Kjersti Engan; Mona K. Beyer; Dag Aarsland (Int. J. Biomed. Imaging, 2015)

Optic cup characterization through sparse representation and dictionary learning. - Valery Naranjo; Carlos J. Saez; Sandra Morales; Kjersti Engan; Soledad Gomez (EUSIPCO, 2016)

Motion based detection of respiration rate in infants using video. - Daniel Myklatun Tveit; Kjersti Engan; Ivar Austvoll; Øyvind Meinich-Bache (ICIP, 2016)

Detection of Activities During Newborn Resuscitation Based on Short-Time Energy of Acceleration Signal. - Huyen Vu; Trygve Eftestøl; Kjersti Engan; Joar Eilevstjønn; Ladislaus Blacy Yarrot; Jørgen E. Linde; Hege Ersdal (ICISP, 2016)

Prognostic prediction of histopathological images by local binary patterns and RUSBoost. - Jarle Urdal; Kjersti Engan; Vebjom Kvikstad; Emilius A. M. Janssen (EUSIPCO, 2017)

Segmentation of coronary arteries from X-ray angiography sequences during contrast fluid propagation by image registration. - Mahdieh Khanmohammadi; Kjersti Engan; Trygve Eftestøl; C. Soland; A. I. Larsen (GlobalSIP, 2017)

Signal processing and classification for identification of clinically important parameters during neonatal resuscitation. - Jarle Urdal; Kjersti Engan; Trygve Eftestøl; Hussein Kidanto; Ladislaus Blacy Yarrot; Joar Eilevstjønn; Hege Ersdal (ICSIPA, 2017)

Robust real-time chest compression rate detection from smartphone video. - Øyvind Meinich-Bache; Kjersti Engan; Tonje S. Birkenes; Helge Myklebust (ISPA, 2017)

Detecting Chest Compression Depth Using a Smartphone Camera and Motion Segmentation. - Øyvind Meinich-Bache; Kjersti Engan; Trygve Eftestøl; Ivar Austvoll (SCIA (2), 2017)

Sparse Approximation by Matching Pursuit Using Shift-Invariant Dictionary. - Karl Skretting; Kjersti Engan (SCIA (1), 2017)

Classifying Alzheimer's disease, Lewy body dementia, and normal controls using 3D texture analysis in magnetic resonance images. - Ketil Oppedal; Kjersti Engan; Trygve Eftestøl; Mona K. Beyer; Dag Aarsland (Biomed. Signal Process. Control., 2017)

Automatic classification of resuscitation activities on birth-asphyxiated newborns using acceleration and ECG signals. - Huyen Vu; Kjersti Engan; Trygve Eftestøl; Aggelos K. Katsaggelos; Samwel Jatosh; Simeon Kusulla; Estomih Mduma; Hussein Kidanto; Hege Ersdal (Biomed. Signal Process. Control., 2017)

Imposing shift-invariance using Flexible Structure Dictionary Learning (FSDL). - Faraz Barzideh; Karl Skretting; Kjersti Engan (Digit. Signal Process., 2017)

Assessment of sparse-based inpainting for retinal vessel removal. - Adrián Colomer; Valery Naranjo; Kjersti Engan; Karl Skretting (Signal Process. Image Commun., 2017)

ECG-Based Classification of Resuscitation Cardiac Rhythms for Retrospective Data Analysis. - Ali Bahrami Rad; Trygve Eftestøl; Kjersti Engan; Unai Irusta; Jan Terje Kvaløy; Jo Kramer-Johansen; Lars Wik; Aggelos K. Katsaggelos (IEEE Trans. Biomed. Eng., 2017)

Retinal Disease Screening Through Local Binary Patterns. - Sandra Morales; Kjersti Engan; Valery Naranjo; Adrián Colomer (IEEE J. Biomed. Health Informatics, 2017)

Automatic Detection and Parameterization of Manual Bag-Mask Ventilation on Newborns. - Huyen Vu; Trygve Eftestøl; Kjersti Engan; Joar Eilevstjønn; Ladislaus Blacy Yarrot; Jørgen E. Linde; Hege Langli Ersdal (IEEE J. Biomed. Health Informatics, 2017)

Invariant Mean Electrical Axis in Electrocardiogram. - Kjell Le; Trygve Eftestøl; Kjersti Engan; Øyunn Kleiven; Stein Ørn (CinC, 2018)

Estimation of Missing Data in Fetal Heart Rate Signals Using Shift-Invariant Dictionary. - Faraz Barzideh; Jarle Urdal; Hussein Kidanto; Kjersti Engan; Karl Skretting; Paschal Francis Mdoe; Benjamin Kamala; Sara Brunner (EUSIPCO, 2018)

High Frequency Noise Detection and Handling in ECG Signals. - Kjell Le; Trygve Eftestøl; Kjersti Engan; Stein Ørn; Øyunn Kleiven (EUSIPCO, 2018)

Kinect Modelling of Chest Compressions - A Feasibility Study for Chest Compression Depth Measurement Using Digital Strategies. - Øyvind Meinich-Bache; Kjersti Engan; Trygve Eftestphil; Ivar Austvoll (ICIP, 2018)

Noise robust and rotation invariant framework for texture analysis and classification. - Álvar-Gines Legaz-Aparicio; Rafael Verdú Monedero; Kjersti Engan (Appl. Math. Comput., 2018)

Validation of Baseline Wander Removal and Isoelectric Correction in Electrocardiograms Using Clustering. - Kjell Le; Trygve Eftestøl; Kjersti Engan; Øyunn Kleiven; Stein Ørn (EUSIPCO, 2019)

Baseline Wander Removal and Isoelectric Correction in Electrocardiograms Using Clustering. - Kjell Le; Trygve Eftestøl; Kjersti Engan; Øyunn Kleiven; Stein Ørn (ICASSP, 2019)

Multiclass Tissue Classification of Whole-Slide Histological Images using Convolutional Neural Networks. - Rune Wetteland; Kjersti Engan; Trygve Eftestøl; Vebjørn Kvikstad; Emilius A. M. Janssen (ICPRAM, 2019)

CNN Based Segmentation of Infarcted Regions in Acute Cerebral Stroke Patients From Computed Tomography Perfusion Imaging. - Luca Tomasetti; Kjersti Engan; Mahdieh Khanmohammadi; Kathinka Dæhli Kurz (BCB, 2020)

Semi-supervised Tissue Segmentation of Histological Images. - Ove Nicolai Dalheim; Rune Wetteland; Vebjørn Kvikstad; Emiel A. M. Janssen; Kjersti Engan (CVCS, 2020)

Automatic identification of stimulation activities during newborn resuscitation using ECG and accelerometer signals. - Jarle Urdal; Kjersti Engan; Trygve Eftestøl; Valery Naranjo; Ingunn Anda Haug; Anita Yeconia; Hussein Kidanto; Hege Ersdal (Comput. Methods Programs Biomed., 2020)

Activity Recognition From Newborn Resuscitation Videos. - Øyvind Meinich-Bache; Simon Lennart Austnes; Kjersti Engan; Ivar Austvoll; Trygve Eftestøl; Helge Myklebust; Simeon Kusulla; Hussein Kidanto; Hege Ersdal (IEEE J. Biomed. Health Informatics, 2020)

Object Detection During Newborn Resuscitation Activities. - Øyvind Meinich-Bache; Kjersti Engan; Ivar Austvoll; Trygve Eftestøl; Helge Myklebust; Ladislaus Blacy Yarrot; Hussein Kidanto; Hege Ersdal (IEEE J. Biomed. Health Informatics, 2020)

Parameterized Extraction of Tiles in Multilevel Gigapixel Images. - Rune Wetteland; Kjersti Engan; Trygve Eftesol (ISPA, 2021)

Automatic Diagnostic Tool for Predicting Cancer Grade in Bladder Cancer Patients Using Deep Learning. - Rune Wetteland; Vebjørn Kvikstad; Trygve Eftestøl; Erlend Tøssebro; Melinda Lillesand; Emiel A. M. Janssen; Kjersti Engan (IEEE Access, 2021)

Artificial intelligence in computational pathology - challenges and future directions. - Sandra Morales; Kjersti Engan; Valery Naranjo (Digit. Signal Process., 2021)

Nested Multiple Instance Learning with Attention Mechanisms. - Saul Fuster; Trygve Eftestøl; Kjersti Engan (ICMLA, 2022)

Invasive Cancerous Area Detection in Non-Muscle Invasive Bladder Cancer Whole Slide Images. - Saul Fuster; Farbod Khoraminia; Umay Kiraz; Neel Kanwal; Vebjørn Kvikstad; Trygve Eftestøl; Tahlita C. M. Zuiverloon; Emiel A. M. Janssen; Kjersti Engan (IVMSP, 2022)

Towards using Thermal Cameras in Birth Detection. - Jorge García-Torres; Øyvind Meinich-Bache; Sara Brunner; Anders Johannessen; Siren Rettedal; Kjersti Engan (IVMSP, 2022)

Quantifying the effect of color processing on blood and damaged tissue detection in Whole Slide Images. - Neel Kanwal; Saul Fuster; Farbod Khoraminia; Tahlita C. M. Zuiverloon; Chunming Rong; Kjersti Engan (IVMSP, 2022)

Residual block Convolutional Auto Encoder in Content-Based Medical Image Retrieval. - Zahra Tabatabaei; Adrián Colomer; Kjersti Engan; Javier Oliver 004; Valery Naranjo (IVMSP, 2022)

Multi-input segmentation of damaged brain in acute ischemic stroke patients using slow fusion with skip connection. - Luca Tomasetti; Mahdieh Khanmohammadi; Kjersti Engan; Liv Jorunn Høllesli; Kathinka Dæhli Kurz (NLDL, 2022)

The Devil is in the Details: Whole Slide Image Acquisition and Processing for Artifacts Detection, Color Variation, and Data Augmentation: A Review. - Neel Kanwal; Fernando Pérez-Bueno; Arne Schmidt 005; Kjersti Engan; Rafael Molina 001 (IEEE Access, 2022)

Machine Learning Algorithms Versus Thresholding to Segment Ischemic Regions in Patients With Acute Ischemic Stroke. - Luca Tomasetti; Liv Jorunn Høllesli; Kjersti Engan; Kathinka Dæhli Kurz; Martin Wilhelm Kurz; Mahdieh Khanmohammadi (IEEE J. Biomed. Health Informatics, 2022)

A Robust BKSVD Method for Blind Color Deconvolution and Blood Detection on H &E Histological Images. - Fernando Pérez-Bueno; Kjersti Engan; Rafael Molina 001 (AIME, 2023)

Active Learning Based Domain Adaptation for Tissue Segmentation of Histopathological Images. - Saul Fuster; Farbod Khoraminia; Trygve Eftestøl; Tahlita C. M. Zuiverloon; Kjersti Engan (EUSIPCO, 2023)

Detection and Localization of Melanoma Skin Cancer in Histopathological Whole Slide Images. - Neel Kanwal; Roger Amundsen; Helga Hardardottir; Luca Tomasetti; Erling Sandøy Undersrud; Emiel A. M. Janssen; Kjersti Engan (EUSIPCO, 2023)

Self-supervised learning of a tailored Convolutional Auto Encoder for histopathological prostate grading. - Zahra Tabatabaei; Adrián Colomer; Kjersti Engan; Javier Oliver 004; Valery Naranjo (EUSIPCO, 2023)

Towards a Privacy-Preserving Distributed Cloud Service for Preprocessing Very Large Medical Images. - Yuandou Wang; Neel Kanwal; Kjersti Engan; Chunming Rong; Zhiming Zhao (ICDH, 2023)

Deep Learning for Predicting Metastasis on Melanoma Wsis. - Christopher Andreassen; Saul Fuster; Helga Hardardottir; Emiel A. M. Janssen; Kjersti Engan (ISBI, 2023)

Self-Supervised Few-Shot Learning for Ischemic Stroke Lesion Segmentation. - Luca Tomasetti; Stine Hansen; Mahdieh Khanmohammadi; Kjersti Engan; Liv Jorunn Høllesli; Kathinka Dæhli Kurz; Michael Kampffmeyer (ISBI, 2023)

Vision Transformers for Small Histological Datasets Learned Through Knowledge Distillation. - Neel Kanwal; Trygve Eftestøl; Farbod Khoraminia; Tahlita C. M. Zuiverloon; Kjersti Engan (PAKDD (3), 2023)

CT Perfusion is All we Need: 4D CNN Segmentation of Penumbra and Core in Patients With Suspected Acute Ischemic Stroke. - Luca Tomasetti; Kjersti Engan; Liv Jorunn Høllesli; Kathinka Dæhli Kurz; Mahdieh Khanmohammadi (IEEE Access, 2023)

Exploiting 4D CT Perfusion for segmenting infarcted areas in patients with suspected acute ischemic stroke. - Luca Tomasetti; Kjersti Engan; Liv Jorunn Høllesli; Kathinka Dæhli Kurz; Mahdieh Khanmohammadi (CoRR, 2023)

Balancing Privacy and Progress in Artificial Intelligence: Anonymization in Histopathology for Biomedical Research and Education. - Neel Kanwal; Emiel A. M. Janssen; Kjersti Engan (CoRR, 2023)

Automatic prediction of therapeutic activities during newborn resuscitation combining video and signal data. - Jarle Urdal; Kjersti Engan; Trygve Eftestøl; Øyvind Meinich-Bache; Ingunn Anda Haug; Paschal Francis Mdoe; Esto Mduma; Ladislaus Blacy Yarrot; Hussein Kidanto; Hege Ersdal (Biomed. Signal Process. Control., 2023)

PriCE: Privacy-Preserving and Cost-Effective Scheduling for Parallelizing the Large Medical Image Processing Workflow over Hybrid Clouds. - Yuandou Wang; Neel Kanwal; Kjersti Engan; Chunming Rong; Paola Grosso; Zhiming Zhao (Euro-Par (1), 2024)

Semi-Supervised Action Recognition From Newborn Resuscitation Videos. - Syed Tahir Hussain Rizvi; Øyvind Meinich-Bache; Vilde Kolstad; Siren Rettedal; Sara Brunner; Kjersti Engan (ICIP, 2024)

A Dual Convolutional Neural Network Pipeline for Melanoma Diagnostics and Prognostics. - Marie Bø-Sande; Edvin Benjaminsen; Neel Kanwal; Saul Fuster; Helga Hardardottir; Ingrid Lundal; Emilius A. M. Janssen; Kjersti Engan (NLDL, 2024)

Comparative Analysis of Binary and Multiclass Activity Recognition in High-Quality Newborn Resuscitation Videos. - Jorge García-Torres; Øyvind Meinich-Bache; Siren Irene Rettedal; Amalie Kibsgaard; Sara Brunner; Kjersti Engan (NLDL, 2024)

Robust blind color deconvolution and blood detection on histological images using Bayesian K-SVD. - Fernando Pérez-Bueno; Kjersti Engan; Rafael Molina 001 (Artif. Intell. Medicine, 2024)

Are you sure it's an artifact? Artifact detection and uncertainty quantification in histological images. - Neel Kanwal; Miguel López-Pérez; Umay Kiraz; Tahlita C. M. Zuiverloon; Rafael Molina 001; Kjersti Engan (Comput. Medical Imaging Graph., 2024)

Towards Privacy-, Budget-, and Deadline-Aware Service Optimization for Large Medical Image Processing across Hybrid Clouds. - Yuandou Wang; Neel Kanwal; Kjersti Engan; Chunming Rong; Paola Grosso; Zhiming Zhao (CoRR, 2024)

Self-Contrastive Weakly Supervised Learning Framework for Prognostic Prediction Using Whole Slide Images. - 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 (CoRR, 2024)

NMGrad: Advancing Histopathological Bladder Cancer Grading with Weakly Supervised Deep Learning. - Saul Fuster; Umay Kiraz; Trygve Eftestøl; Emiel A. M. Janssen; Kjersti Engan (CoRR, 2024)

Advancing Newborn Care: Precise Birth Time Detection Using AI-Driven Thermal Imaging with Adaptive Normalization. - Jorge García-Torres; Øyvind Meinich-Bache; Anders Johannessen; Siren Rettedal; Vilde Kolstad; Kjersti Engan (CoRR, 2024)

A Blood Dataset from Camelyon 17. - Fernando Pérez-Bueno; Kjersti Engan; Rafael Molina Soriano (Zenodo, 2024)

Analysis and knowledge extraction of newborn resuscitation activities from annotation files. - Mohanad Abukmeil; Øyvind Meinich-Bache; Trygve Eftestøl; Siren Rettedal; Helge Myklebust; Thomas Bailey Tysland; Hege Ersdal; Estomih Mduma; Kjersti Engan (BMC Medical Informatics Decis. Mak., 2024)

Equipping computational pathology systems with artifact processing pipelines: a showcase for computation and performance trade-offs. - Neel Kanwal; Farbod Khoraminia; Umay Kiraz; Andrés Mosquera-Zamudio; Carlos Monteagudo; Emiel A. M. Janssen; Tahlita C. M. Zuiverloon; Chunming Rong; Kjersti Engan (BMC Medical Informatics Decis. Mak., 2024)

Two-Stream Thermal Imaging Fusion for Enhanced Time of Birth Detection in Neonatal Care. - Jorge García-Torres; Øyvind Meinich-Bache; Sara Brunner; Siren Rettedal; Vilde Kolstad; Kjersti Engan (DSP, 2025)

Stroke Simulation: Generative AI for Computed Tomography Perfusion Synthesis. - Mahdieh Khanmohammadi; Luca Tomasetti; Ahmed A. Hassan; Ørjan Vier; Carl H. Christiansen; Kjersti Engan; Kathinka Dæhli Kurz (DSP, 2025)

AI-Based Thermal Video Analysis in Privacy-Preserving Healthcare: A Case Study on Detecting Time of Birth. - Jorge García-Torres; Øyvind Meinich-Bache; Siren Rettedal; Kjersti Engan (ISBI, 2025)

Advancing newborn care: Precise time of birth detection using ai-driven thermal imaging with adaptive normalization. - Jorge García-Torres; Øyvind Meinich-Bache; Anders Johannessen; Siren Rettedal; Vilde Kolstad; Kjersti Engan (Comput. Biol. Medicine, 2025)

Building Trust in Healthcare with Privacy Techniques: Blockchain in the Cloud. - Ferhat Özgür Çatak; Chunming Rong; Øyvind Meinich-Bache; Sara Brunner; Kjersti Engan (CoRR, 2025)