Fred Godtliebsen

Publication Activity (10 Years)

Years Active: 1991-2022
Publications (10 Years): 21

Top Topics

Dissimilarity Measure

Electronic Health Records

Top Venues

Artif. Intell. Medicine

Publications

Jon Berezowski, Thomas Haugland Johansen, Jonas Nordhaug Myhre, Fred Godtliebsen
Variable Depth Bayesian Neural Networks Using Reversible Jumps. MLSP (2022)
Stig Uteng, Eduardo Quevedo, Gustavo Marrero Callicó, Irene Castaño, Gregorio Carretero, Pablo Almeida, Aday García, Javier A. Hernández, Fred Godtliebsen
Curve-Based Classification Approach for Hyperspectral Dermatologic Data Processing. Sensors 21 (3) (2021)
Thomas Haugland Johansen, Steffen Aagaard Sørensen, Kajsa Møllersen, Fred Godtliebsen
Instance Segmentation of Microscopic Foraminifera. CoRR (2021)
Phuong D. Ngo, Fred Godtliebsen
Data-Driven Robust Control Using Reinforcement Learning. CoRR (2020)
Miguel Tejedor, Ashenafi Zebene Woldaregay, Fred Godtliebsen
Reinforcement learning application in diabetes blood glucose control: A systematic review. Artif. Intell. Medicine 104 (2020)
Samuel Ortega, Martin T. Halicek, Himar Fabelo, Rafael Camacho, Maria De La Luz Plaza, Fred Godtliebsen, Gustavo Marrero Callicó, Baowei Fei
Hyperspectral Imaging for the Detection of Glioblastoma Tumor Cells in H&E Slides Using Convolutional Neural Networks. Sensors 20 (7) (2020)
Samuel Ortega, Martin T. Halicek, Himar Fabelo, Raúl Guerra, Carlos López, Marylène Lejeune, Fred Godtliebsen, Gustavo Marrero Callicó, Baowei Fei
Hyperspectral imaging and deep learning for the detection of breast cancer cells in digitized histological images. Medical Imaging: Digital Pathology (2020)
Beatriz Martínez-Vega, Eduardo Quevedo, Raquel Leon, Himar Fabelo, Samuel Ortega, Gustavo Marrero Callicó, Irene Castaño, Gregorio Carretero, Pablo Almeida, Aday García, Javier A. Hernández, Stig Uteng, Fred Godtliebsen
Statistics-based Classification Approach for Hyperspectral Dermatologic Data Processing. DCIS (2020)
Taridzo Chomutare, Kassaye Yitbarek Yigzaw, Andrius Budrionis, Alexandra Makhlysheva, Fred Godtliebsen, Hercules Dalianis
De-Identifying Swedish EHR Text Using Public Resources in the General Domain. MIE (2020)
Kajsa Møllersen, Jon Yngve Hardeberg, Fred Godtliebsen
A Probabilistic Bag-to-Class Approach to Multiple-Instance Learning. Data 5 (2) (2020)
Himar Fabelo, Gregorio Carretero, Pablo Almeida, Aday García, Javier A. Hernández, Fred Godtliebsen, Verónica Melián, Beatriz Martínez, Patricia Beltrán, Samuel Ortega, Margarita Marrero-Martin, Gustavo Marrero Callicó, Roberto Sarmiento, Irene Castaño
Dermatologic Hyperspectral Imaging System for Skin Cancer Diagnosis Assistance. DCIS (2019)
Phuong D. Ngo, Susan Wei, Anna Holubová, Jan Muzík, Fred Godtliebsen
Control of Blood Glucose for Type-1 Diabetes by Using Reinforcement Learning with Feedforward Algorithm. Comput. Math. Methods Medicine 2018 (2018)
Jonas Nordhaug Myhre, Ilkka K. Launonen, Susan Wei, Fred Godtliebsen
Controlling blood glucose Levels in patients with Type 1 Diabetes using fitted Q-iterations and Functional Features. MLSP (2018)
Kajsa Møllersen, Jon Yngve Hardeberg, Fred Godtliebsen
A bag-to-class divergence approach to multiple-instance learning. CoRR (2018)
Phuong D. Ngo, Susan Wei, Anna Holubová, Jan Muzík, Fred Godtliebsen
Reinforcement-learning optimal control for type-1 diabetes. BHI (2018)
Karl Øyvind Mikalsen, Cristina Soguero-Ruíz, Kasper Jensen, Kristian Hindberg, Mads Gran, Arthur Revhaug, Rolv-Ole Lindsetmo, Stein Olav Skrøvseth, Fred Godtliebsen, Robert Jenssen
Using anchors from free text in electronic health records to diagnose postoperative delirium. Comput. Methods Programs Biomed. 152 (2017)
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
Predicting colorectal surgical complications using heterogeneous clinical data and kernel methods. J. Biomed. Informatics 61 (2016)
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
Support Vector Feature Selection for Early Detection of Anastomosis Leakage From Bag-of-Words in Electronic Health Records. IEEE J. Biomed. Health Informatics 20 (5) (2016)
Jörn Schulz, Stephen M. Pizer, J. S. Marron, Fred Godtliebsen
Non-linear Hypothesis Testing of Geometric Object Properties of Shapes Applied to Hippocampi. J. Math. Imaging Vis. 54 (1) (2016)
Kajsa Møllersen, Subhra S. Dhar, Fred Godtliebsen
On Data-Independent Properties for Density-Based Dissimilarity Measures in Hybrid Clustering. CoRR (2016)
Kajsa Møllersen, Jon Yngve Hardeberg, Fred Godtliebsen
Divergence-based colour features for melanoma detection. CVCS (2015)
Jörn Schulz, Stein Olav Skrøvseth, Veronika Tømmerås, Kirsten Marienhagen, Fred Godtliebsen
A semiautomatic tool for prostate segmentation in radiotherapy treatment planning. BMC Medical Imaging 14 (2014)
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
Bootstrap resampling feature selection and Support Vector Machine for early detection of Anastomosis Leakage. BHI (2014)
Maciel Zortea, Thomas R. Schopf, Kevin Thon, Marc Geilhufe, Kristian Hindberg, Herbert M. Kirchesch, Kajsa Møllersen, Jörn Schulz, Stein Olav Skrøvseth, Fred Godtliebsen
Performance of a dermoscopy-based computer vision system for the diagnosis of pigmented skin lesions compared with visual evaluation by experienced dermatologists. Artif. Intell. Medicine 60 (1) (2014)
Eirik Årsand, Stein Olav Skrøvseth, Ole K. Hejlesen, Alexander Horsch, Fred Godtliebsen, Astrid Grøttland, Gunnar Hartvigsen
Mobile Patient Applications within Diabetes - from Few and Easy to Advanced Functionalities. MedInfo (2013)
Stein Olav Skrøvseth, André Dias, Lukas Gorzelniak, Fred Godtliebsen, Alexander Horsch
Scale-Space Methods for Live Processing of Sensor Data. MIE (2012)
Kevin Thon, Håvard Rue, Stein Olav Skrøvseth, Fred Godtliebsen
Bayesian multiscale analysis of images modeled as Gaussian Markov random fields. Comput. Stat. Data Anal. 56 (1) (2012)
Anil Kumar Ghosh, Fred Godtliebsen
On hybrid classification using model assisted posterior estimates. Pattern Recognit. 45 (6) (2012)
Maciel Zortea, Stein Olav Skrøvseth, Thomas R. Schopf, Herbert M. Kirchesch, Fred Godtliebsen
Automatic Segmentation of Dermoscopic Images by Iterative Classification. Int. J. Biomed. Imaging 2011 (2011)
Stein Olav Skrøvseth, Fred Godtliebsen
Scale Space Methods for Analysis of Type 2 Diabetes Patients' Blood Glucose Values. Comput. Math. Methods Medicine 2011 (2011)
Stein Olav Skrøvseth, Eirik Årsand, Ragnar M. Joakimsen, Fred Godtliebsen
Statistical Modeling of Aggregated Lifestyle and Blood Glucose Data in Type 1 Diabetes Patients. eTELEMED (2010)
Lena Ringstad Olsen, Probal Chaudhuri, Fred Godtliebsen
Multiscale spectral analysis for detecting short and long range change points in time series. Comput. Stat. Data Anal. 52 (7) (2008)
Cheolwoo Park, Fred Godtliebsen, Murad S. Taqqu, Stilian Stoev, J. S. Marron
Visualization and inference based on wavelet coefficients, SiZer and SiNos. Comput. Stat. Data Anal. 51 (12) (2007)
Tor Arne Øigård, Håvard Rue, Fred Godtliebsen
Bayesian multiscale analysis for time series data. Comput. Stat. Data Anal. 51 (3) (2006)
Fred Godtliebsen, Tor Arne Øigård
A visual display device for significant features in complicated signals. Comput. Stat. Data Anal. 48 (2) (2005)
Tor Arne Øigård, Alfred Hanssen, Roy Edgar Hansen, Fred Godtliebsen
EM-estimation and modeling of heavy-tailed processes with the multivariate normal inverse Gaussian distribution. Signal Process. 85 (8) (2005)
Fred Godtliebsen, James Stephen Marron, Probal Chaudhuri
Statistical significance of features in digital images. Image Vis. Comput. 22 (13) (2004)
Fred Godtliebsen, Chih-Kang Chu, Sigrunn Holbek Sørbye, Geir Torheim
An Estimator for Functional Data with Application to MRI. IEEE Trans. Medical Imaging 20 (1) (2001)
Geir Torheim, Fred Godtliebsen, David Axelson, Kjell Arne Kvistad, Olav Haraldseth, Peter A. Rinck
Feature Extraction and Classification of Dynamic Contrast-Enhanced T2-weighted Breast Image Data. IEEE Trans. Medical Imaging 20 (12) (2001)
Giovanni Sebastiani, Fred Godtliebsen
On the use of Gibbs priors for Bayesian image restoration. Signal Process. 56 (1) (1997)
Giovanni Sebastiani, Fred Godtliebsen, R. A. Jones, Olav Haraldseth, T. B. Müller, Peter A. Rinck
Correction to "Analysis of Dynamic Magnetic Resonance Images". IEEE Trans. Medical Imaging 16 (1) (1997)
Giovanni Sebastiani, Fred Godtliebsen, R. A. Jones, Olav Haraldseth, T. B. Müller, Peter A. Rinck
Analysis of dynamic magnetic resonance images. IEEE Trans. Medical Imaging 15 (3) (1996)
Fred Godtliebsen, Emil Spjsøtvoll
Comparison of statistical methods in MR imaging. Int. J. Imaging Syst. Technol. 3 (1) (1991)