

Fred Godtliebsen
Professor
Stillingsbeskrivelse
Professor i statistikk.
Isak Paasche Edvardsen,
Anna Teterina,
Thomas Haugland Johansen,
Jonas Nordhaug Myhre,
Fred Godtliebsen,
Napat Limchaichana Bolstad
:
Automatic detection of the mental foramen for estimating mandibular cortical width in dental panoramic radiographs: the seventh survey of the Tromsø Study (Tromsø7) in 2015-2016
Taridzo Fred Chomutare,
Miguel Angel Tejedor Hernandez,
Therese Olsen Svenning,
Luis Marco Ruiz,
Maryam Tayefi Nasrabadi,
Karianne Fredenfeldt Lind
m.fl.:
Artificial Intelligence Implementation in Healthcare: A Theory-Based Scoping Review of Barriers and Facilitators
Jonathan E Berezowski,
Thomas Andre Haugland Johansen,
Jonas Nordhaug Myhre,
Fred Godtliebsen
:
Variable Depth Bayesian Neural Networks Using Reversible Jumps
Phuong Ngo,
Miguel Angel Tejedor Hernandez,
Fred Godtliebsen
:
Data-Driven Robust Control Using Reinforcement Learning
Stig Uteng,
Eduardo Quevedo,
Gustavo M. Callico,
Irene Castaño,
Gregorio Carretero,
Pablo Almeida
m.fl.:
Curve-Based Classification Approach for Hyperspectral Dermatologic Data Processing
Thomas Haugland Johansen,
Steffen Aagaard Sørensen,
Kajsa Møllersen,
Fred Godtliebsen
:
Instance Segmentation of Microscopic Foraminifera
Marit Dagny Kristine Jenssen,
Per Atle Bakkevoll,
Phuong Ngo,
Andrius Budrionis,
Asbjørn Johansen Fagerlund,
Maryam Tayefi
m.fl.:
Machine Learning in Chronic Pain Research: A Scoping Review
Maryam Tayefi,
Phuong Ngo,
Taridzo Chomutare,
Hercules Dalianis,
Elisa Salvi,
Andrius Budrionis
m.fl.:
Challenges and opportunities beyond structured data in analysis of electronic health records
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
Phuong Ngo,
Miguel Angel Tejedor Hernandez,
Maryam Tayefi,
Taridzo Chomutare,
Fred Godtliebsen
:
Risk-Averse Food Recommendation Using Bayesian Feedforward Neural Networks for Patients with Type 1 Diabetes Doing Physical Activities
Sebastian Andres Acuña Maldonado,
Ida Sundvor Opstad,
Fred Godtliebsen,
Balpreet Singh Ahluwalia,
Krishna Agarwal
:
Soft thresholding schemes for multiple signal classification algorithm
Jonas Nordhaug Myhre,
Miguel Angel Tejedor Hernandez,
Ilkka Kalervo Launonen,
Anas El Fathi,
Fred Godtliebsen
:
In-silico evaluation of glucose regulation using policy gradient reinforcement learning for patients with type 1 diabetes mellitus
Samuel Ortega,
Martin Halicek,
Himar Fabelo,
Rafael Camacho,
Maria de La Luz Plaza,
Fred Godtliebsen
m.fl.:
Hyperspectral imaging for the detection of glioblastoma tumor cells in H&E slides using convolution neural networks
Giovanni Sebastiani,
Stig Uteng,
Fred Godtliebsen,
Jan Polàk,
Jan Brož
:
Estimation of Blood Glucose Concentration During Endurance Sports
Samuel Ortega,
Martin Halicek,
Himar Fabelo,
Raul Guerra,
Carlos Lopez,
Marylene Lejaune
m.fl.:
Hyperspectral imaging and deep learning for the detection of breast cancer cells in digitized histological images
Kajsa Møllersen,
Jon Yngve Hardeberg,
Fred Godtliebsen
:
A probabilistic bag-to-class approach to multiple-instance learning
Miguel Angel Tejedor Hernandez,
Ashenafi Zebene Woldaregay,
Fred Godtliebsen
:
Reinforcement learning application in diabetes blood glucose control: A systematic review
Stig Uteng,
Thomas Haugland Johansen,
Jose Ignacio Zaballos,
Samuel Ortega,
Lasse Holmström,
Gustavo M. Callico
m.fl.:
Early Detection of Change by Applying Scale-Space Methodology to Hyperspectral Images
John S. Hammond,
Fred Godtliebsen,
Sonja Eriksson Steigen,
I. Neil Guha,
Judy Wyatt,
Arthur Revhaug
m.fl.:
The effects of terlipressin and direct portacaval shunting on liver hemodynamics following 80% hepatectomy in the pig
Kristian Hindberg,
Jan Hannig,
Fred Godtliebsen
:
A novel scale-space approach for multinormality testing and the k-sample problem in the high dimension low sample size scenario
Thomas Haugland Johansen,
Kajsa Møllersen,
Samuel Ortega,
Himar Fabelo,
Aday Garcia,
Gustavo Callico
m.fl.:
Recent advances in hyperspectral imaging for melanoma detection
Phuong Ngo,
Maryam Tayefi,
Anne Torill Nordsletta,
Fred Godtliebsen
:
Food recommendation using machine learning for physical activities in patients with type 1 diabetes
Phuong Ngo,
Susan Wei,
Anna Holubova,
Jan Muzik,
Fred Godtliebsen
:
Reinforcement-Learning Optimal Control for Type-1 Diabetes
IEEE (Institute of Electrical and Electronics Engineers) 2018 DOI
Phuong Ngo,
Susan Wei,
Anna Holubova,
Jan Muzik,
Fred Godtliebsen
:
Control of Blood Glucose for Type-1 Diabetes by Using Reinforcement Learning with Feedforward Algorithm
Jonas Nordhaug Myhre,
Fred Godtliebsen,
Ilkka Kalervo Launonen,
Susan Wei
:
CONTROLLING BLOOD GLUCOSE LEVELS IN PATIENTS WITH TYPE 1 DIABETES USING FITTED Q-ITERATIONS AND FUNCTIONAL FEATURES
IEEE Signal Processing Society 2018 DOI
Kajsa Møllersen,
Maciel Zortea,
Thomas Roger Griesbeck Schopf,
Herbert M. Kirchesch,
Fred Godtliebsen
:
Comparison of computer systems and ranking criteria for automatic melanoma detection in dermoscopic images
Karl Øyvind Mikalsen,
Cristina Soguero Ruiz,
Kasper Jensen,
Kristian Hindberg,
Mads Gran,
Arthur Revhaug
m.fl.:
Using anchors from free text in electronic health records to diagnose postoperative delirium
Kajsa Møllersen,
Subhra Dhar,
Fred Godtliebsen
:
On Data-Independent Properties for Density-Based Dissimilarity Measures in Hybrid Clustering
Cristina Soguero-Ruiz,
Kristian Hindberg,
Inmaculada Mora-Jimenez,
José Luis Rojo-Álvarez,
Stein Olav Skrøvseth,
Fred Godtliebsen
m.fl.:
Predicting colorectal surgical complications using heterogeneous clinical data and kernel methods
Journal of Biomedical Informatics 2016 DOI
Cristina Soguero-Ruiz,
Kristian Hindberg,
José Luis Rojo-Álvarez,
Stein Olav Skrøvseth,
Fred Godtliebsen,
Kim Erlend Mortensen
m.fl.:
Support vector feature selection for early detection of anastomosis leakage from bag-of-words in electronic health records
IEEE journal of biomedical and health informatics 2016 DOI
Kajsa Møllersen,
Maciel Zortea,
Kristian Hindberg,
Thomas Roger Griesbeck Schopf,
Stein Olav Skrøvseth,
Fred Godtliebsen
:
Improved Skin Lesion Diagnostics for General Practice by Computer-Aided Diagnostics
CRC Press 2015 DOI
David Wade,
Iver Martinsen,
Erik Anthonissen,
Alex Cullum,
Robert Williams,
Fred Godtliebsen
m.fl.:
Species Classification Automation for Microfossil Photomicrograph Images
2022
Iver Martinsen,
David Wade,
Fred Godtliebsen,
Benjamin Ricaud
:
SCAMPI - Species Classification Automation for Microfossil Photomicrograph Images
2022
Beatriz Martinez-Vega,
Eduardo Quevedo,
Raquel Leon,
Himar Fabelo,
Samuel Ortega,
Gustavo M. Callico
m.fl.:
Statistics-based Classification Approach for Hyperspectral Dermatologic Data Processing
2020
Thomas Haugland Johansen,
Kajsa Møllersen,
Samuel Ortega,
Himar Fabelo,
Gustavo Callico,
Fred Godtliebsen
:
Detecting skin cancer using hyperspectral images
Advanced Science News 2020
Phuong Ngo,
Eirik Årsand,
Fred Godtliebsen
:
Toward A Personalized Decision Support System for Blood Glucose Management During and After Physical Activities in Patients with Type 1 Diabetes
Diabetes Technology & Therapeutics 2020 FULLTEKST
Sebastian Andres Acuña Maldonado,
G M A Mehedi Hussain,
Fred Godtliebsen,
Balpreet Singh Ahluwalia,
Hoai Phuong Ha,
Dilip K. Prasad
m.fl.:
Multiple Signal Classiflcation: Challenges on the Route from
Millimeter Resolution to Nanometer Resolution
2019
Jonas Nordhaug Myhre,
Miguel Angel Tejedor Hernandez,
Ilkka Kalervo Launonen,
Fred Godtliebsen
:
In-silico Evaluation of Type-1 Diabetes Closed-Loop Control using Deep Reinforcement Learning
2019
Jonas Nordhaug Myhre,
Miguel Angel Tejedor Hernandez,
Ilkka Kalervo Launonen,
Fred Godtliebsen
:
In-silico Evaluation of Trust Region Policy Optimization Reinforcement Learning for T1DM Closed-Loop Control
2019
Phuong D. Ngo,
Fred Godtliebsen
:
Data-Driven Robust Control Using Reinforcement Learning
2018
Phuong Ngo,
Susan Wei,
Anna Holubova,
Jan Muzik,
Fred Godtliebsen
:
Reinforcement-Learning Optimal Control for Type-1 Diabetes
2018 FULLTEKST
Phuong D. Ngo,
Miguel Angel Tejedor Hernandez,
Fred Godtliebsen
:
A Decision Support Tool for Optimal Control of Planet Temperature Using Reinforcement Learning
2018
Per Atle Bakkevoll,
Alexandra Makhlysheva,
Andrius Budrionis,
Taridzo Chomutare,
Line Helen Linstad,
Anne Torill Nordsletta
m.fl.:
Health analytics
Kunstig intelligens – nye muligheter for helsetjenesten
2018 FULLTEKST
Alexandra Makhlysheva,
Andrius Budrionis,
Taridzo Chomutare,
Anne Torill Nordsletta,
Per Atle Bakkevoll,
Torje Dahle Henriksen
m.fl.:
Health Analytics
2018 FULLTEKST
Ashenafi Zebene Woldaregay,
Taridzo Chomutare,
Dave Albers,
Lena Mamykina,
Ole Kristian Hejlesen,
Christian Lovis
m.fl.:
An early infectious disease outbreak detection system based on self-recorded data from people with diabetes
Diabetes Technology & Therapeutics 2017
Ashenafi Zebene Woldaregay,
Taridzo Chomutare,
Dave Albers,
Lena Mamykina,
Ole Kristian Hejlesen,
Christian Lovis
m.fl.:
An early infectious disease outbreak detection system based on self-recorded data from people with diabetes
2017
Phuong Ngo,
Jonas Nordhaug Myhre,
Fred Godtliebsen
:
Reinforcement Learning Algorithm for Patients with Type-1 Diabetes
2017
Per Atle Bakkevoll,
Johan Gustav Bellika,
Fred Godtliebsen,
Line Helen Linstad
:
Internasjonale referansecase for bruk av helsedata
2016 DATA
Karl Øyvind Mikalsen,
Robert Jenssen,
Fred Godtliebsen,
Stein Olav Skrøvseth,
Arthur Revhaug,
Rolv-Ole Lindsetmo
m.fl.:
Predicting Postoperative Delirium Using Anchors.
2015
Cristina Soguero-Ruiz,
Kristian Hindberg,
Inmaculada Mora-Jimenez,
Jose Luis Rojo-Alvarez,
Stein Olav Skrøvseth,
Fred Godtliebsen
m.fl.:
Prediction of Surgical Complications using Heterogeneous Clinical Data and Kernel Methods
2015
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