Comparison of statistical methods in MR imaging. - Fred Godtliebsen; Emil Spjsøtvoll (Int. J. Imaging Syst. Technol., 1991)

Analysis of dynamic magnetic resonance images. - Giovanni Sebastiani; Fred Godtliebsen; R. A. Jones; Olav Haraldseth; T. B. Müller; Peter A. Rinck (IEEE Trans. Medical Imaging, 1996)

On the use of Gibbs priors for Bayesian image restoration. - Giovanni Sebastiani; Fred Godtliebsen (Signal Process., 1997)

Correction to "Analysis of Dynamic Magnetic Resonance Images". - Giovanni Sebastiani; Fred Godtliebsen; R. A. Jones; Olav Haraldseth; T. B. Müller; Peter A. Rinck (IEEE Trans. Medical Imaging, 1997)

An Estimator for Functional Data with Application to MRI. - Fred Godtliebsen; Chih-Kang Chu; Sigrunn Holbek Sørbye; Geir Torheim (IEEE Trans. Medical Imaging, 2001)

Feature Extraction and Classification of Dynamic Contrast-Enhanced T2-weighted Breast Image Data. - Geir Torheim; Fred Godtliebsen; David Axelson; Kjell Arne Kvistad; Olav Haraldseth; Peter A. Rinck (IEEE Trans. Medical Imaging, 2001)

Statistical significance of features in digital images. - Fred Godtliebsen; James Stephen Marron; Probal Chaudhuri (Image Vis. Comput., 2004)

A visual display device for significant features in complicated signals. - Fred Godtliebsen; Tor Arne Øigård (Comput. Stat. Data Anal., 2005)

EM-estimation and modeling of heavy-tailed processes with the multivariate normal inverse Gaussian distribution. - Tor Arne Øigård; Alfred Hanssen; Roy Edgar Hansen; Fred Godtliebsen (Signal Process., 2005)

Bayesian multiscale analysis for time series data. - Tor Arne Øigård; Håvard Rue; Fred Godtliebsen (Comput. Stat. Data Anal., 2006)

Visualization and inference based on wavelet coefficients, SiZer and SiNos. - Cheolwoo Park; Fred Godtliebsen; Murad S. Taqqu; Stilian Stoev; J. S. Marron (Comput. Stat. Data Anal., 2007)

Multiscale spectral analysis for detecting short and long range change points in time series. - Lena Ringstad Olsen; Probal Chaudhuri; Fred Godtliebsen (Comput. Stat. Data Anal., 2008)

Statistical Modeling of Aggregated Lifestyle and Blood Glucose Data in Type 1 Diabetes Patients. - Stein Olav Skrøvseth; Eirik Årsand; Ragnar M. Joakimsen; Fred Godtliebsen (eTELEMED, 2010)

Scale Space Methods for Analysis of Type 2 Diabetes Patients' Blood Glucose Values. - Stein Olav Skrøvseth; Fred Godtliebsen (Comput. Math. Methods Medicine, 2011)

Automatic Segmentation of Dermoscopic Images by Iterative Classification. - Maciel Zortea; Stein Olav Skrøvseth; Thomas R. Schopf; Herbert M. Kirchesch; Fred Godtliebsen (Int. J. Biomed. Imaging, 2011)

Scale-Space Methods for Live Processing of Sensor Data. - Stein Olav Skrøvseth; André Dias; Lukas Gorzelniak; Fred Godtliebsen; Alexander Horsch (MIE, 2012)

Bayesian multiscale analysis of images modeled as Gaussian Markov random fields. - Kevin Thon; Håvard Rue; Stein Olav Skrøvseth; Fred Godtliebsen (Comput. Stat. Data Anal., 2012)

On hybrid classification using model assisted posterior estimates. - Anil Kumar Ghosh 001; Fred Godtliebsen (Pattern Recognit., 2012)

Mobile Patient Applications within Diabetes - from Few and Easy to Advanced Functionalities. - Eirik Årsand; Stein Olav Skrøvseth; Ole K. Hejlesen; Alexander Horsch; Fred Godtliebsen; Astrid Grøttland; Gunnar Hartvigsen (MedInfo, 2013)

Bootstrap resampling feature selection and Support Vector Machine for early detection of Anastomosis Leakage. - Cristina Soguero-Ruíz; Kristian Hindberg; José Luis Rojo-Álvarez; Stein Olav Skrøvseth; Fred Godtliebsen; Kim Mortensen; Arthur Revhaug; Rolv-Ole Lindsetmo; Inmaculada Mora-Jiménez; Knut Magne Augestad; Robert Jenssen (BHI, 2014)

Performance of a dermoscopy-based computer vision system for the diagnosis of pigmented skin lesions compared with visual evaluation by experienced dermatologists. - Maciel Zortea; Thomas R. Schopf; Kevin Thon; Marc Geilhufe; Kristian Hindberg; Herbert M. Kirchesch; Kajsa Møllersen; Jörn Schulz; Stein Olav Skrøvseth; Fred Godtliebsen (Artif. Intell. Medicine, 2014)

A semiautomatic tool for prostate segmentation in radiotherapy treatment planning. - Jörn Schulz; Stein Olav Skrøvseth; Veronika Tømmerås; Kirsten Marienhagen; Fred Godtliebsen (BMC Medical Imaging, 2014)

Divergence-based colour features for melanoma detection. - Kajsa Møllersen; Jon Yngve Hardeberg; Fred Godtliebsen (CVCS, 2015)

On Data-Independent Properties for Density-Based Dissimilarity Measures in Hybrid Clustering. - Kajsa Møllersen; Subhra S. Dhar; Fred Godtliebsen (CoRR, 2016)

Predicting colorectal surgical complications using heterogeneous clinical data and kernel methods. - Cristina Soguero-Ruíz; Kristian Hindberg; Inmaculada Mora-Jiménez; José Luis Rojo-Álvarez; Stein Olav Skrøvseth; Fred Godtliebsen; Kim Mortensen; Arthur Revhaug; Rolv-Ole Lindsetmo; Knut Magne Augestad; Robert Jenssen (J. Biomed. Informatics, 2016)

Non-linear Hypothesis Testing of Geometric Object Properties of Shapes Applied to Hippocampi. - Jörn Schulz; Stephen M. Pizer; J. S. Marron; Fred Godtliebsen (J. Math. Imaging Vis., 2016)

Support Vector Feature Selection for Early Detection of Anastomosis Leakage From Bag-of-Words in Electronic Health Records. - Cristina Soguero-Ruíz; Kristian Hindberg; José Luis Rojo-Álvarez; Stein Olav Skrøvseth; Fred Godtliebsen; Kim Mortensen; Arthur Revhaug; Rolv-Ole Lindsetmo; Knut Magne Augestad; Robert Jenssen (IEEE J. Biomed. Health Informatics, 2016)

Using anchors from free text in electronic health records to diagnose postoperative delirium. - Karl Øyvind Mikalsen; Cristina Soguero-Ruíz; Kasper Jensen; Kristian Hindberg; Mads Gran; Arthur Revhaug; Rolv-Ole Lindsetmo; Stein Olav Skrøvseth; Fred Godtliebsen; Robert Jenssen (Comput. Methods Programs Biomed., 2017)

Reinforcement-learning optimal control for type-1 diabetes. - Phuong D. Ngo; Susan Wei; Anna Holubová; Jan Muzík; Fred Godtliebsen (BHI, 2018)

Controlling blood glucose Levels in patients with Type 1 Diabetes using fitted Q-iterations and Functional Features. - Jonas Nordhaug Myhre; Ilkka K. Launonen; Susan Wei; Fred Godtliebsen (MLSP, 2018)

Control of Blood Glucose for Type-1 Diabetes by Using Reinforcement Learning with Feedforward Algorithm. - Phuong D. Ngo; Susan Wei; Anna Holubová; Jan Muzík; Fred Godtliebsen (Comput. Math. Methods Medicine, 2018)

A bag-to-class divergence approach to multiple-instance learning. - Kajsa Møllersen; Jon Yngve Hardeberg; Fred Godtliebsen (CoRR, 2018)

Dermatologic Hyperspectral Imaging System for Skin Cancer Diagnosis Assistance. - Himar Fabelo; Gregorio Carretero; Pablo Almeida; Aday García; Javier A. Hernández; Fred Godtliebsen; Verónica Melián; Beatriz Martínez 002; Patricia Beltrán; Samuel Ortega; Margarita Marrero-Martin; Gustavo M. Callicó; et al. (DCIS, 2019)

Statistics-based Classification Approach for Hyperspectral Dermatologic Data Processing. - Beatriz Martínez-Vega; Eduardo Quevedo; Raquel León; Himar Fabelo; Samuel Ortega; Gustavo M. Callicó; Irene Castaño; Gregorio Carretero; Pablo Almeida; Aday García; Javier A. Hernández; Stig Uteng; et al. (DCIS, 2020)

Hyperspectral imaging and deep learning for the detection of breast cancer cells in digitized histological images. - Samuel Ortega; Martin T. Halicek; Himar Fabelo; Raúl Guerra; Carlos López 002; Marylène Lejeune; Fred Godtliebsen; Gustavo M. Callicó; Baowei Fei (Digital Pathology, 2020)

De-Identifying Swedish EHR Text Using Public Resources in the General Domain. - Taridzo Chomutare; Kassaye Yitbarek Yigzaw; Andrius Budrionis; Alexandra Makhlysheva; Fred Godtliebsen; Hercules Dalianis (MIE, 2020)

Reinforcement learning application in diabetes blood glucose control: A systematic review. - Miguel Tejedor; Ashenafi Zebene Woldaregay; Fred Godtliebsen (Artif. Intell. Medicine, 2020)

Data-Driven Robust Control Using Reinforcement Learning. - Phuong D. Ngo; Fred Godtliebsen (CoRR, 2020)

A Probabilistic Bag-to-Class Approach to Multiple-Instance Learning. - Kajsa Møllersen; Jon Yngve Hardeberg; Fred Godtliebsen (Data, 2020)

Hyperspectral Imaging for the Detection of Glioblastoma Tumor Cells in H&E Slides Using Convolutional Neural Networks. - Samuel Ortega; Martin T. Halicek; Himar Fabelo; Rafael Camacho; Maria De La Luz Plaza; Fred Godtliebsen; Gustavo M. Callicó; Baowei Fei (Sensors, 2020)

Instance Segmentation of Microscopic Foraminifera. - Thomas Haugland Johansen; Steffen Aagaard Sørensen; Kajsa Møllersen; Fred Godtliebsen (CoRR, 2021)

Curve-Based Classification Approach for Hyperspectral Dermatologic Data Processing. - Stig Uteng; Eduardo Quevedo; Gustavo M. Callicó; Irene Castaño; Gregorio Carretero; Pablo Almeida; Aday García; Javier A. Hernández; Fred Godtliebsen (Sensors, 2021)

Variable Depth Bayesian Neural Networks Using Reversible Jumps. - Jon Berezowski; Thomas Haugland Johansen; Jonas Nordhaug Myhre; Fred Godtliebsen (MLSP, 2022)