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Fred Godtliebsen
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2020 – today
- 2022
- [c12]Jon Berezowski, Thomas Haugland Johansen, Jonas Nordhaug Myhre, Fred Godtliebsen:
Variable Depth Bayesian Neural Networks Using Reversible Jumps. MLSP 2022: 1-6 - 2021
- [j27]Stig Uteng
, Eduardo Quevedo
Curve-Based Classification Approach for Hyperspectral Dermatologic Data Processing. Sensors 21(3): 680 (2021) - [i4]Thomas Haugland Johansen, Steffen Aagaard Sørensen, Kajsa Møllersen, Fred Godtliebsen:
Instance Segmentation of Microscopic Foraminifera. CoRR abs/2105.14191 (2021) - 2020
- [j26]Miguel Tejedor, Ashenafi Zebene Woldaregay
Reinforcement learning application in diabetes blood glucose control: A systematic review. Artif. Intell. Medicine 104: 101836 (2020) - [j25]Kajsa Møllersen
A Probabilistic Bag-to-Class Approach to Multiple-Instance Learning. Data 5(2): 56 (2020) - [j24]Samuel Ortega
Hyperspectral Imaging for the Detection of Glioblastoma Tumor Cells in H&E Slides Using Convolutional Neural Networks. Sensors 20(7): 1911 (2020) - [c11]Beatriz Martínez-Vega
Statistics-based Classification Approach for Hyperspectral Dermatologic Data Processing. DCIS 2020: 1-6 - [c10]Samuel Ortega, Martin T. Halicek, Himar Fabelo
Hyperspectral imaging and deep learning for the detection of breast cancer cells in digitized histological images. Digital Pathology 2020: 113200V - [c9]Taridzo Chomutare, Kassaye Yitbarek Yigzaw
De-Identifying Swedish EHR Text Using Public Resources in the General Domain. MIE 2020: 148-152 - [i3]Phuong D. Ngo, Fred Godtliebsen:
Data-Driven Robust Control Using Reinforcement Learning. CoRR abs/2004.07690 (2020)
2010 – 2019
- 2019
- [c8]Himar Fabelo
Dermatologic Hyperspectral Imaging System for Skin Cancer Diagnosis Assistance. DCIS 2019: 1-6 - 2018
- [j23]Phuong D. Ngo
Control of Blood Glucose for Type-1 Diabetes by Using Reinforcement Learning with Feedforward Algorithm. Comput. Math. Methods Medicine 2018: 4091497:1-4091497:8 (2018) - [c7]Phuong D. Ngo
Reinforcement-learning optimal control for type-1 diabetes. BHI 2018: 333-336 - [c6]Jonas Nordhaug Myhre
Controlling blood glucose Levels in patients with Type 1 Diabetes using fitted Q-iterations and Functional Features. MLSP 2018: 1-6 - [i2]Kajsa Møllersen, Jon Yngve Hardeberg, Fred Godtliebsen:
A bag-to-class divergence approach to multiple-instance learning. CoRR abs/1803.02782 (2018) - 2017
- [j22]Karl Øyvind Mikalsen, Cristina Soguero-Ruíz
Using anchors from free text in electronic health records to diagnose postoperative delirium. Comput. Methods Programs Biomed. 152: 105-114 (2017) - 2016
- [j21]Cristina Soguero-Ruíz
Predicting colorectal surgical complications using heterogeneous clinical data and kernel methods. J. Biomed. Informatics 61: 87-96 (2016) - [j20]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): 15-34 (2016) - [j19]Cristina Soguero-Ruíz
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): 1404-1415 (2016) - [i1]Kajsa Møllersen, Subhra S. Dhar, Fred Godtliebsen:
On Data-Independent Properties for Density-Based Dissimilarity Measures in Hybrid Clustering. CoRR abs/1609.06533 (2016) - 2015
- [c5]Kajsa Møllersen, Jon Yngve Hardeberg, Fred Godtliebsen:
Divergence-based colour features for melanoma detection. CVCS 2015: 1-6 - 2014
- [j18]Maciel Zortea, Thomas R. Schopf
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): 13-26 (2014) - [j17]Jörn Schulz, Stein Olav Skrøvseth
A semiautomatic tool for prostate segmentation in radiotherapy treatment planning. BMC Medical Imaging 14: 4 (2014) - [c4]Cristina Soguero-Ruíz
Bootstrap resampling feature selection and Support Vector Machine for early detection of Anastomosis Leakage. BHI 2014: 577-580 - 2013
- [c3]Eirik Årsand, Stein Olav Skrøvseth, Ole K. Hejlesen
Mobile Patient Applications within Diabetes - from Few and Easy to Advanced Functionalities. MedInfo 2013: 1010 - 2012
- [j16]Kevin Thon, Håvard Rue, Stein Olav Skrøvseth
Bayesian multiscale analysis of images modeled as Gaussian Markov random fields. Comput. Stat. Data Anal. 56(1): 49-61 (2012) - [j15]Anil Kumar Ghosh, Fred Godtliebsen:
On hybrid classification using model assisted posterior estimates. Pattern Recognit. 45(6): 2288-2298 (2012) - [c2]Stein Olav Skrøvseth, André Dias, Lukas Gorzelniak, Fred Godtliebsen, Alexander Horsch
Scale-Space Methods for Live Processing of Sensor Data. MIE 2012: 138-142 - 2011
- [j14]Stein Olav Skrøvseth
Scale Space Methods for Analysis of Type 2 Diabetes Patients' Blood Glucose Values. Comput. Math. Methods Medicine 2011: 672039:1-672039:7 (2011) - [j13]Maciel Zortea, Stein Olav Skrøvseth
Automatic Segmentation of Dermoscopic Images by Iterative Classification. Int. J. Biomed. Imaging 2011: 972648:1-972648:19 (2011) - 2010
- [c1]Stein Olav Skrøvseth
Statistical Modeling of Aggregated Lifestyle and Blood Glucose Data in Type 1 Diabetes Patients. eTELEMED 2010: 130-133
2000 – 2009
- 2008
- [j12]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): 3310-3330 (2008) - 2007
- [j11]Cheolwoo Park
Visualization and inference based on wavelet coefficients, SiZer and SiNos. Comput. Stat. Data Anal. 51(12): 5994-6012 (2007) - 2006
- [j10]Tor Arne Øigård, Håvard Rue, Fred Godtliebsen:
Bayesian multiscale analysis for time series data. Comput. Stat. Data Anal. 51(3): 1719-1730 (2006) - 2005
- [j9]Fred Godtliebsen, Tor Arne Øigård:
A visual display device for significant features in complicated signals. Comput. Stat. Data Anal. 48(2): 317-343 (2005) - [j8]Tor Arne Øigård, Alfred Hanssen
EM-estimation and modeling of heavy-tailed processes with the multivariate normal inverse Gaussian distribution. Signal Process. 85(8): 1655-1673 (2005) - 2004
- [j7]Fred Godtliebsen, James Stephen Marron, Probal Chaudhuri:
Statistical significance of features in digital images. Image Vis. Comput. 22(13): 1093-1104 (2004) - 2001
- [j6]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): 36-44 (2001) - [j5]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): 1293-1301 (2001)
1990 – 1999
- 1997
- [j4]Giovanni Sebastiani, Fred Godtliebsen:
On the use of Gibbs priors for Bayesian image restoration. Signal Process. 56(1): 111-118 (1997) - [j3]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): 123-124 (1997) - 1996
- [j2]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): 268-277 (1996) - 1991
- [j1]Fred Godtliebsen, Emil Spjsøtvoll:
Comparison of statistical methods in MR imaging. Int. J. Imaging Syst. Technol. 3(1): 33-39 (1991)
Coauthor Index
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