2 code implementations • 23 Jun 2020 • Nina Shvetsova, Bart Bakker, Irina Fedulova, Heinrich Schulz, Dmitry V. Dylov
To address this problem, we introduce a new powerful method of image anomaly detection.
no code implementations • 31 Oct 2019 • 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 PW Pluim, Rulla M. Tamimi, Yujing J. Heng, Mitko Veta
A first set of 92 WSIs was annotated for TDLUs, acini and adipose tissue to train deep convolutional neural network (CNN) models for detection of acini, and segmentation of TDLUs and adipose tissue.
1 code implementation • 20 Oct 2019 • Patrick Putzky, Dimitrios Karkalousos, Jonas Teuwen, Nikita Miriakov, Bart Bakker, Matthan Caan, Max Welling
We, team AImsterdam, summarize our submission to the fastMRI challenge (Zbontar et al., 2018).
2 code implementations • 12 Sep 2019 • Nina Tuluptceva, Bart Bakker, Irina Fedulova, Anton Konushin
We present a novel method for image anomaly detection, where algorithms that use samples drawn from some distribution of "normal" data, aim to detect out-of-distribution (abnormal) samples.