Bart Bakker

According to our database, Bart Bakker authored at least 17 papers between 1999 and 2021.

Collaborative distances:

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

2021

Anomaly Detection in Medical Imaging With Deep Perceptual Autoencoders.

Nina Shvetsova, Bart Bakker, Irina Fedulova, Heinrich Schulz, Dmitry V. Dylov

IEEE Access, 2021

Evaluation of the Robustness of Learned MR Image Reconstruction to Systematic Deviations Between Training and Test Data for the Models from the fastMRI Challenge.

Patricia M. Johnson, Geunu Jeong, Kerstin Hammernik, Jo Schlemper, Chen Qin, Jinming Duan, Daniel Rueckert, Jingu Lee, Nicola Pezzotti, Elwin de Weerdt, Sahar Yousefi, Mohamed S. Elmahdy, Jeroen Hendrikus Franciscus Van Gemert, Christophe Schülke, Mariya Doneva, Tim Nielsen, Sergey Kastryulin, Boudewijn P. F. Lelieveldt, Matthias J. P. van Osch, Marius Staring, Eric Z. Chen, Puyang Wang, Xiao Chen, Terrence Chen, Vishal M. Patel, Shanhui Sun, Hyungseob Shin, Yohan Jun, Taejoon Eo, Sewon Kim, Taeseong Kim, Dosik Hwang, Patrick Putzky, Dimitrios Karkalousos, Jonas Teuwen, Nikita Miriakov, Bart Bakker, Matthan W. A. Caan, Max Welling, Matthew J. Muckley, Florian Knoll

Proceedings of the Machine Learning for Medical Image Reconstruction, 2021

2020

Anomaly Detection with Deep Perceptual Autoencoders.

Nina Tuluptceva, Bart Bakker, Irina Fedulova, Heinrich Schulz, Dmitry V. Dylov

CoRR, 2020

2019

Deep learning assessment of breast terminal duct lobular unit involution: towards automated prediction of breast cancer risk.

Suzanne C. Wetstein, Allison M. Onken, Christina Luffman, Gabrielle M. Baker, Michael E. Pyle, Kevin H. Kensler, Ying Liu, Bart Bakker, Ruud Vlutters, Marinus B. van Leeuwen, Laura C. Collins, Stuart J. Schnitt, Josien P. W. Pluim, Rulla M. Tamimi, Yujing J. Heng, Mitko Veta

CoRR, 2019

i-RIM applied to the fastMRI challenge.

Patrick Putzky, Dimitrios Karkalousos, Jonas Teuwen, Nikita Miriakov, Bart Bakker, Matthan W. A. Caan, Max Welling

CoRR, 2019

Perceptual Image Anomaly Detection.

Nina Tuluptceva, Bart Bakker, Irina Fedulova, Anton Konushin

Proceedings of the Pattern Recognition - 5th Asian Conference, 2019

2008

Determining causal and non-causal relationships in biomedical text by classifying verbs using a Naive Bayesian Classifier.

Pieter Horn, Bart Bakker, Gijs Geleijnse, Jan H. M. Korst, Sergei Kurkin

Proceedings of the Workshop on Current Trends in Biomedical Natural Language Processing, 2008

2007

Learning and approximate inference in dynamic hierarchical models.

Bart Bakker, Tom Heskes

Comput. Stat. Data Anal., 2007

2006

Modeling spontaneous speech variability in professional dictation.

Hauke Schramm, Xavier L. Aubert, Bart Bakker, Carsten Meyer, Hermann Ney

Speech Commun., 2006

2005

Fast unsupervised speaker adaptation through a discriminative eigen-MLLR algorithm.

Bart Bakker, Carsten Meyer, Xavier L. Aubert

Proceedings of the INTERSPEECH 2005, 2005

2003

Clustering ensembles of neural network models.

Bart Bakker, Tom Heskes

Neural Networks, 2003

Optimising newspaper sales using neural-Bayesian technology.

Tom Heskes, Jan-Joost Spanjers, Bart Bakker, Wim Wiegerinck

Neural Comput. Appl., 2003

Task Clustering and Gating for Bayesian Multitask Learning.

Bart Bakker, Tom Heskes

J. Mach. Learn. Res., 2003

2002

Approximate algorithms for neural-Bayesian approaches.

Tom Heskes, Bart Bakker, Bert Kappen

Theor. Comput. Sci., 2002

Model Clustering for Neural Network Ensembles.

Bart Bakker, Tom Heskes

Proceedings of the Artificial Neural Networks, 2002

2000

Survival Analysis: A Neural-Bayesian Approach.

Bart J. Bakker, Bert Kappen, Tom Heskes

Proceedings of the Artificial Neural Networks in Medicine and Biology, 2000

1999

Model clustering by deterministic annealing.

Bart Bakker, Tom Heskes

Proceedings of the 7th European Symposium on Artificial Neural Networks, 1999