Scale Space Methods for Analysis of Type 2 Diabetes Patients' Blood Glucose Values

by Stein Olav Skrøvseth, Fred Godtliebsen
Published 2011-01-01

Automatic programming of grinding robot restoration of contours

by Are Willersrud, Fred Godtliebsen, Trygve Thomessen
Published 1995-07-01

A novel scale-space approach for multinormality testing and the k-sample problem in the high dimension low sample size scenario.

by Kristian Hindberg, Jan Hannig, Fred Godtliebsen
Published 2019-01-01

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

by Kajsa Møllersen, Jon Yngve Hardeberg, Fred Godtliebsen
Published 2020-06-01

Causality in scale space as an approach to change detection.

by Stein Olav Skrøvseth, Johan Gustav Bellika, Fred Godtliebsen
Published 2012-01-01

Instance Segmentation of Microscopic Foraminifera

by Thomas Haugland Johansen, Steffen Aagaard Sørensen, Kajsa Møllersen, Fred Godtliebsen
Published 2021-07-01

Risk-Averse Food Recommendation Using Bayesian Feedforward Neural Networks for Patients with Type 1 Diabetes Doing Physical Activities

by Phuong Ngo, Miguel Tejedor, Maryam Tayefi, Taridzo Chomutare, Fred Godtliebsen
Published 2020-11-01

Comparison of computer systems and ranking criteria for automatic melanoma detection in dermoscopic images.

by Kajsa Møllersen, Maciel Zortea, Thomas R Schopf, Herbert Kirchesch, Fred Godtliebsen
Published 2017-01-01

Automatic Segmentation of Dermoscopic Images by Iterative Classification

by Maciel Zortea, Stein Olav Skrøvseth, Thomas R. Schopf, Herbert M. Kirchesch, Fred Godtliebsen
Published 2011-01-01

Computer-Aided Decision Support for Melanoma Detection Applied on Melanocytic and Nonmelanocytic Skin Lesions: A Comparison of Two Systems Based on Automatic Analysis of Dermoscopi...

by Kajsa Møllersen, Herbert Kirchesch, Maciel Zortea, Thomas R. Schopf, Kristian Hindberg, Fred Godtliebsen
Published 2015-01-01

In-Silico Evaluation of Glucose Regulation Using Policy Gradient Reinforcement Learning for Patients with Type 1 Diabetes Mellitus

by Jonas Nordhaug Nordhaug Myhre, Miguel Tejedor, Ilkka Kalervo Kalervo Launonen, Anas El Fathi, Fred Godtliebsen
Published 2020-09-01

Early Detection of Change by Applying Scale-Space Methodology to Hyperspectral Images

by Stig Uteng, Thomas Haugland Johansen, Jose Ignacio Zaballos, Samuel Ortega, Lasse Holmström, Gustavo M. Callico, Himar Fabelo, Fred Godtliebsen
Published 2020-03-01

Curve-Based Classification Approach for Hyperspectral Dermatologic Data Processing

by Stig Uteng, Eduardo Quevedo, Gustavo M. Callico, Irene Castaño, Gregorio Carretero, Pablo Almeida, Aday Garcia, Javier A. Hernandez, Fred Godtliebsen
Published 2021-01-01

Hyperspectral Imaging for the Detection of Glioblastoma Tumor Cells in H&E Slides Using Convolutional Neural Networks

by Samuel Ortega, Martin Halicek, Himar Fabelo, Rafael Camacho, María de la Luz Plaza, Fred Godtliebsen, Gustavo M. Callicó, Baowei Fei
Published 2020-03-01

Thousand years of winter surface air temperature variations in Svalbard and northern Norway reconstructed from ice-core data

by Roderik S.W. van de Wal, Fred Godtliebsen, Veijo Pohjola, John Moore, Harro A.J. Meijer, Tonu Martma, Elisabeth Isaksson, Dmitry Divine
Published 2011-07-01

Machine Learning in Chronic Pain Research: A Scoping Review

by Marit Dagny Kristine Jenssen, Per Atle Bakkevoll, Phuong Dinh Ngo, Andrius Budrionis, Asbjørn Johansen Fagerlund, Maryam Tayefi, Johan Gustav Bellika, Fred Godtliebsen
Published 2021-04-01