Bart Bakker

17 papers A 1B 1C 1Journal 11Unranked 3
YearRankTypeTitle / Venue / Authors
2021 J jnl
Anomaly Detection in Medical Imaging With Deep Perceptual Autoencoders.
IEEE Access
Nina Shvetsova, Bart Bakker, Irina Fedulova, Heinrich Schulz, Dmitry V. Dylov
2021 — conf
Evaluation of the Robustness of Learned MR Image Reconstruction to Systematic Deviations Between Training and Test Data for the Models from the fastMRI Challenge.
MLMIR@MICCAI
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
2020 J jnl
Anomaly Detection with Deep Perceptual Autoencoders.
CoRR
Nina Tuluptceva, Bart Bakker, Irina Fedulova, Heinrich Schulz, Dmitry V. Dylov
2019 J jnl
Deep learning assessment of breast terminal duct lobular unit involution: towards automated prediction of breast cancer risk.
CoRR
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
2019 — conf
Perceptual Image Anomaly Detection.
ACPR (1)
Nina Tuluptceva, Bart Bakker, Irina Fedulova, Anton Konushin
2019 J jnl
Perceptual Image Anomaly Detection.
CoRR
Nina Tuluptceva, Bart Bakker, Irina Fedulova, Anton Konushin
2019 J jnl
i-RIM applied to the fastMRI challenge.
CoRR
Patrick Putzky, Dimitrios Karkalousos, Jonas Teuwen, Nikita Miriakov, Bart Bakker, Matthan W. A. Caan, Max Welling
2008 — conf
Determining causal and non-causal relationships in biomedical text by classifying verbs using a Naive Bayesian Classifier.
BioNLP
Pieter Horn, Bart Bakker, Gijs Geleijnse, Jan H. M. Korst, Sergei Kurkin
2007 J jnl
Learning and approximate inference in dynamic hierarchical models.
Comput. Stat. Data Anal.
Bart Bakker, Tom Heskes
2006 J jnl
Modeling spontaneous speech variability in professional dictation.
Speech Commun.
Hauke Schramm, Xavier L. Aubert, Bart Bakker, Carsten Meyer, Hermann Ney
2005 A conf
Fast unsupervised speaker adaptation through a discriminative eigen-MLLR algorithm.
INTERSPEECH
Bart Bakker, Carsten Meyer, Xavier L. Aubert
2003 J jnl
Clustering ensembles of neural network models.
Neural Networks
Bart Bakker, Tom Heskes
2003 J jnl
Optimising newspaper sales using neural-Bayesian technology.
Neural Comput. Appl.
Tom Heskes, Jan-Joost Spanjers, Bart Bakker, Wim Wiegerinck
2003 J jnl
Task Clustering and Gating for Bayesian Multitask Learning.
J. Mach. Learn. Res.
Bart Bakker, Tom Heskes
2002 J jnl
Approximate algorithms for neural-Bayesian approaches.
Theor. Comput. Sci.
Tom Heskes, Bart Bakker, Bert Kappen
2002 C conf
Model Clustering for Neural Network Ensembles.
ICANN
Bart Bakker, Tom Heskes
1999 B conf
Model clustering by deterministic annealing.
ESANN
Bart Bakker, Tom Heskes