Fred Godtliebsen

44 papers Journal 32Unranked 12

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	MCR-SL: A Multimodal, Context-Rich Skin Lesion Dataset for Skin Cancer Diagnosis. Data María Castro-Fernández, Thomas Roger Schopf, Irene Castaño-González, Belinda Roque-Quintana, Herbert M. Kirchesch, Samuel Ortega, Himar Fabelo, Fred Godtliebsen, Conceição Granja, Gustavo M. Callicó
2022	—	`conf`	Variable Depth Bayesian Neural Networks Using Reversible Jumps. MLSP Jon Berezowski, Thomas Haugland Johansen, Jonas Nordhaug Myhre, Fred Godtliebsen
2021	J	`jnl`	Curve-Based Classification Approach for Hyperspectral Dermatologic Data Processing. Sensors Stig Uteng, Eduardo Quevedo, Gustavo M. Callicó, Irene Castaño, Gregorio Carretero, Pablo Almeida, Aday García, Javier A. Hernández, Fred Godtliebsen
2021	J	`jnl`	Instance Segmentation of Microscopic Foraminifera. CoRR Thomas Haugland Johansen, Steffen Aagaard Sørensen, Kajsa Møllersen, Fred Godtliebsen
2020	J	`jnl`	A Probabilistic Bag-to-Class Approach to Multiple-Instance Learning. Data Kajsa Møllersen, Jon Yngve Hardeberg, Fred Godtliebsen
2020	J	`jnl`	Data-Driven Robust Control Using Reinforcement Learning. CoRR Phuong D. Ngo, Fred Godtliebsen
2020	—	`conf`	De-Identifying Swedish EHR Text Using Public Resources in the General Domain. MIE Taridzo Chomutare, Kassaye Yitbarek Yigzaw, Andrius Budrionis, Alexandra Makhlysheva, Fred Godtliebsen, Hercules Dalianis
2020	J	`jnl`	Hyperspectral Imaging for the Detection of Glioblastoma Tumor Cells in H&E Slides Using Convolutional Neural Networks. Sensors Samuel Ortega, Martin T. Halicek, Himar Fabelo, Rafael Camacho, Maria De La Luz Plaza, Fred Godtliebsen, Gustavo M. Callicó, Baowei Fei
2020	—	`conf`	Hyperspectral imaging and deep learning for the detection of breast cancer cells in digitized histological images. Digital Pathology Samuel Ortega, Martin T. Halicek, Himar Fabelo, Raúl Guerra, Carlos López, Marylène Lejeune, Fred Godtliebsen, Gustavo M. Callicó, Baowei Fei
2020	J	`jnl`	Reinforcement learning application in diabetes blood glucose control: A systematic review. Artif. Intell. Medicine Miguel Tejedor, Ashenafi Zebene Woldaregay, Fred Godtliebsen
2020	—	`conf`	Statistics-based Classification Approach for Hyperspectral Dermatologic Data Processing. DCIS 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, Fred Godtliebsen
2019	—	`conf`	Dermatologic Hyperspectral Imaging System for Skin Cancer Diagnosis Assistance. DCIS 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 M. Callicó, Roberto Sarmiento, Irene Castaño
2018	J	`jnl`	A bag-to-class divergence approach to multiple-instance learning. CoRR Kajsa Møllersen, Jon Yngve Hardeberg, Fred Godtliebsen
2018	J	`jnl`	Control of Blood Glucose for Type-1 Diabetes by Using Reinforcement Learning with Feedforward Algorithm. Comput. Math. Methods Medicine Phuong D. Ngo, Susan Wei, Anna Holubová, Jan Muzík, Fred Godtliebsen
2018	—	`conf`	Controlling blood glucose Levels in patients with Type 1 Diabetes using fitted Q-iterations and Functional Features. MLSP Jonas Nordhaug Myhre, Ilkka K. Launonen, Susan Wei, Fred Godtliebsen
2018	—	`conf`	Reinforcement-learning optimal control for type-1 diabetes. BHI Phuong D. Ngo, Susan Wei, Anna Holubová, Jan Muzík, Fred Godtliebsen
2017	J	`jnl`	Using anchors from free text in electronic health records to diagnose postoperative delirium. Comput. Methods Programs Biomed. Karl Øyvind Mikalsen, Cristina Soguero-Ruíz, Kasper Jensen, Kristian Hindberg, Mads Gran, Arthur Revhaug, Rolv-Ole Lindsetmo, Stein Olav Skrøvseth, Fred Godtliebsen, Robert Jenssen
2016	J	`jnl`	Non-linear Hypothesis Testing of Geometric Object Properties of Shapes Applied to Hippocampi. J. Math. Imaging Vis. Jörn Schulz, Stephen M. Pizer, J. S. Marron, Fred Godtliebsen
2016	J	`jnl`	On Data-Independent Properties for Density-Based Dissimilarity Measures in Hybrid Clustering. CoRR Kajsa Møllersen, Subhra S. Dhar, Fred Godtliebsen
2016	J	`jnl`	Predicting colorectal surgical complications using heterogeneous clinical data and kernel methods. J. Biomed. Informatics 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
2016	J	`jnl`	Support Vector Feature Selection for Early Detection of Anastomosis Leakage From Bag-of-Words in Electronic Health Records. IEEE J. Biomed. Health Informatics 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
2015	—	`conf`	Divergence-based colour features for melanoma detection. CVCS Kajsa Møllersen, Jon Yngve Hardeberg, Fred Godtliebsen
2014	J	`jnl`	A semiautomatic tool for prostate segmentation in radiotherapy treatment planning. BMC Medical Imaging Jörn Schulz, Stein Olav Skrøvseth, Veronika Tømmerås, Kirsten Marienhagen, Fred Godtliebsen
2014	—	`conf`	Bootstrap resampling feature selection and Support Vector Machine for early detection of Anastomosis Leakage. BHI 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
2014	J	`jnl`	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 Maciel Zortea, Thomas R. Schopf, Kevin Thon, Marc Geilhufe, Kristian Hindberg, Herbert M. Kirchesch, Kajsa Møllersen, Jörn Schulz, Stein Olav Skrøvseth, Fred Godtliebsen
2013	—	`conf`	Mobile Patient Applications within Diabetes - from Few and Easy to Advanced Functionalities. MedInfo Eirik Årsand, Stein Olav Skrøvseth, Ole K. Hejlesen, Alexander Horsch, Fred Godtliebsen, Astrid Grøttland, Gunnar Hartvigsen
2012	J	`jnl`	Bayesian multiscale analysis of images modeled as Gaussian Markov random fields. Comput. Stat. Data Anal. Kevin Thon, Håvard Rue, Stein Olav Skrøvseth, Fred Godtliebsen
2012	J	`jnl`	On hybrid classification using model assisted posterior estimates. Pattern Recognit. Anil Kumar Ghosh, Fred Godtliebsen
2012	—	`conf`	Scale-Space Methods for Live Processing of Sensor Data. MIE Stein Olav Skrøvseth, André Dias, Lukas Gorzelniak, Fred Godtliebsen, Alexander Horsch
2011	J	`jnl`	Automatic Segmentation of Dermoscopic Images by Iterative Classification. Int. J. Biomed. Imaging Maciel Zortea, Stein Olav Skrøvseth, Thomas R. Schopf, Herbert M. Kirchesch, Fred Godtliebsen
2011	J	`jnl`	Scale Space Methods for Analysis of Type 2 Diabetes Patients' Blood Glucose Values. Comput. Math. Methods Medicine Stein Olav Skrøvseth, Fred Godtliebsen
2010	—	`conf`	Statistical Modeling of Aggregated Lifestyle and Blood Glucose Data in Type 1 Diabetes Patients. eTELEMED Stein Olav Skrøvseth, Eirik Årsand, Ragnar M. Joakimsen, Fred Godtliebsen
2008	J	`jnl`	Multiscale spectral analysis for detecting short and long range change points in time series. Comput. Stat. Data Anal. Lena Ringstad Olsen, Probal Chaudhuri, Fred Godtliebsen
2007	J	`jnl`	Visualization and inference based on wavelet coefficients, SiZer and SiNos. Comput. Stat. Data Anal. Cheolwoo Park, Fred Godtliebsen, Murad S. Taqqu, Stilian Stoev, J. S. Marron
2006	J	`jnl`	Bayesian multiscale analysis for time series data. Comput. Stat. Data Anal. Tor Arne Øigård, Håvard Rue, Fred Godtliebsen
2005	J	`jnl`	A visual display device for significant features in complicated signals. Comput. Stat. Data Anal. Fred Godtliebsen, Tor Arne Øigård
2005	J	`jnl`	EM-estimation and modeling of heavy-tailed processes with the multivariate normal inverse Gaussian distribution. Signal Process. Tor Arne Øigård, Alfred Hanssen, Roy Edgar Hansen, Fred Godtliebsen
2004	J	`jnl`	Statistical significance of features in digital images. Image Vis. Comput. Fred Godtliebsen, James Stephen Marron, Probal Chaudhuri
2001	J	`jnl`	An Estimator for Functional Data with Application to MRI. IEEE Trans. Medical Imaging Fred Godtliebsen, Chih-Kang Chu, Sigrunn Holbek Sørbye, Geir Torheim
2001	J	`jnl`	Feature Extraction and Classification of Dynamic Contrast-Enhanced T2-weighted Breast Image Data. IEEE Trans. Medical Imaging Geir Torheim, Fred Godtliebsen, David Axelson, Kjell Arne Kvistad, Olav Haraldseth, Peter A. Rinck
1997	J	`jnl`	Correction to "Analysis of Dynamic Magnetic Resonance Images". IEEE Trans. Medical Imaging Giovanni Sebastiani, Fred Godtliebsen, R. A. Jones, Olav Haraldseth, T. B. Müller, Peter A. Rinck
1997	J	`jnl`	On the use of Gibbs priors for Bayesian image restoration. Signal Process. Giovanni Sebastiani, Fred Godtliebsen
1996	J	`jnl`	Analysis of dynamic magnetic resonance images. IEEE Trans. Medical Imaging Giovanni Sebastiani, Fred Godtliebsen, R. A. Jones, Olav Haraldseth, T. B. Müller, Peter A. Rinck
1991	J	`jnl`	Comparison of statistical methods in MR imaging. Int. J. Imaging Syst. Technol. Fred Godtliebsen, Emil Spjsøtvoll