Fred Godtliebsen

According to our database, Fred Godtliebsen authored at least 43 papers between 1991 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Variable Depth Bayesian Neural Networks Using Reversible Jumps.

Jon Berezowski, Thomas Haugland Johansen, Jonas Nordhaug Myhre, Fred Godtliebsen

Proceedings of the 32nd IEEE International Workshop on Machine Learning for Signal Processing, 2022

2021

Curve-Based Classification Approach for Hyperspectral Dermatologic Data Processing.

Stig Uteng, Eduardo Quevedo, Gustavo Marrero Callicó, Irene Castaño, Gregorio Carretero, Pablo Almeida, Aday García, Javier A. Hernández, Fred Godtliebsen

Sensors, 2021

Instance Segmentation of Microscopic Foraminifera.

Thomas Haugland Johansen, Steffen Aagaard Sørensen, Kajsa Møllersen, Fred Godtliebsen

CoRR, 2021

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 Marrero Callicó, Baowei Fei

Sensors, 2020

A Probabilistic Bag-to-Class Approach to Multiple-Instance Learning.

Kajsa Møllersen, Jon Yngve Hardeberg, Fred Godtliebsen

Data, 2020

Data-Driven Robust Control Using Reinforcement Learning.

Phuong D. Ngo, Fred Godtliebsen

CoRR, 2020

Reinforcement learning application in diabetes blood glucose control: A systematic review.

Miguel Tejedor, Ashenafi Zebene Woldaregay, Fred Godtliebsen

Artif. Intell. Medicine, 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

Proceedings of the Digital Personalized Health and Medicine - Proceedings of MIE 2020, Medical Informatics Europe, Geneva, Switzerland, April 28, 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, Marylène Lejeune, Fred Godtliebsen, Gustavo Marrero Callicó, Baowei Fei

Proceedings of the Medical Imaging 2020: Digital Pathology, 2020

Statistics-based Classification Approach for Hyperspectral Dermatologic Data Processing.

Beatriz Martínez-Vega, Eduardo Quevedo, Raquel León, Himar Fabelo, Samuel Ortega, Gustavo Marrero Callicó, Irene Castaño, Gregorio Carretero, Pablo Almeida, Aday García, Javier A. Hernández, Stig Uteng, Fred Godtliebsen

Proceedings of the XXXV Conference on Design of Circuits and Integrated Systems, 2020

2019

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, Patricia Beltrán, Samuel Ortega, Margarita Marrero-Martin, Gustavo Marrero Callicó, Roberto Sarmiento, Irene Castaño

Proceedings of the XXXIV Conference on Design of Circuits and Integrated Systems, 2019

2018

A bag-to-class divergence approach to multiple-instance learning.

Kajsa Møllersen, Jon Yngve Hardeberg, Fred Godtliebsen

CoRR, 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

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

Proceedings of the 28th IEEE International Workshop on Machine Learning for Signal Processing, 2018

Reinforcement-learning optimal control for type-1 diabetes.

Phuong D. Ngo, Susan Wei, Anna Holubová, Jan Muzík, Fred Godtliebsen

Proceedings of the 2018 IEEE EMBS International Conference on Biomedical & Health Informatics, 2018

2017

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

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

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

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

On Data-Independent Properties for Density-Based Dissimilarity Measures in Hybrid Clustering.

Kajsa Møllersen, Subhra S. Dhar, Fred Godtliebsen

CoRR, 2016

2015

Divergence-based colour features for melanoma detection.

Kajsa Møllersen, Jon Yngve Hardeberg, Fred Godtliebsen

Proceedings of the Colour and Visual Computing Symposium, 2015

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

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

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

Proceedings of IEEE-EMBS International Conference on Biomedical and Health Informatics, 2014

2013

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

Proceedings of the MEDINFO 2013, 2013

2012

On hybrid classification using model assisted posterior estimates.

Anil Kumar Ghosh, Fred Godtliebsen

Pattern Recognit., 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

Scale-Space Methods for Live Processing of Sensor Data.

Stein Olav Skrøvseth, André Dias, Lukas Gorzelniak, Fred Godtliebsen, Alexander Horsch

Proceedings of the Quality of Life through Quality of Information, 2012

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 Analysis of Type 2 Diabetes Patients' Blood Glucose Values.

Stein Olav Skrøvseth, Fred Godtliebsen

Comput. Math. Methods Medicine, 2011

2010

Statistical Modeling of Aggregated Lifestyle and Blood Glucose Data in Type 1 Diabetes Patients.

Stein Olav Skrøvseth, Eirik Årsand, Ragnar M. Joakimsen, Fred Godtliebsen

Proceedings of the Second International Conference on eHealth, 2010

2008

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

2007

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

2006

Bayesian multiscale analysis for time series data.

Tor Arne Øigård, Håvard Rue, Fred Godtliebsen

Comput. Stat. Data Anal., 2006

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

A visual display device for significant features in complicated signals.

Fred Godtliebsen, Tor Arne Øigård

Comput. Stat. Data Anal., 2005

2004

Statistical significance of features in digital images.

Fred Godtliebsen, James Stephen Marron, Probal Chaudhuri

Image Vis. Comput., 2004

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

An Estimator for Functional Data with Application to MRI.

Fred Godtliebsen, Chih-Kang Chu, Sigrunn Holbek Sørbye, Geir Torheim

IEEE Trans. Medical Imaging, 2001

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

On the use of Gibbs priors for Bayesian image restoration.

Giovanni Sebastiani, Fred Godtliebsen

Signal Process., 1997

1996

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

1991

Comparison of statistical methods in MR imaging.

Fred Godtliebsen, Emil Spjsøtvoll

Int. J. Imaging Syst. Technol., 1991