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Disambiguation of "Pluim, Josien P. W."

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XCAT-GAN for Synthesizing 3D Consistent Labeled Cardiac MR Images on Anatomically Variable XCAT Phantoms.

, , , , , , and . MICCAI (4), volume 12264 of Lecture Notes in Computer Science, page 128-137. Springer, (2020)

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P W Zebitz

Claus P W Zebitz

Claus P W Zebitz

P Günther

P Kock

 

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Adversarial Attack Vulnerability of Medical Image Analysis Systems: Unexplored Factors., , , , , , , , , and 2 other author(s). CoRR, (2020)Predicting breast tumor proliferation from whole-slide images: The TUPAC16 challenge., , , , , , , , , and 9 other author(s). Medical Image Anal., (2019)Quantifying Graft Detachment after Descemet's Membrane Endothelial Keratoplasty with Deep Convolutional Neural Networks., , , , and . CoRR, (2020)Rib Detection in 3D MRI Using Dynamic Programming Based on Vesselness and Ridgeness., , , and . Abdominal Imaging, volume 8198 of Lecture Notes in Computer Science, page 212-220. Springer, (2013)A patient specific 4D MRI liver motion model based on sparse imaging and registration., , , and . Medical Imaging: Image-Guided Procedures, volume 8671 of SPIE Proceedings, page 86710S. SPIE, (2013)Registration of multi-view apical 3D echocardiography images., , , , , and . Medical Imaging: Image Processing, volume 7962 of SPIE Proceedings, page 79621W. SPIE, (2011)Capturing Single-Cell Phenotypic Variation via Unsupervised Representation Learning., , , , , and . MIDL, volume 102 of Proceedings of Machine Learning Research, page 315-325. PMLR, (2019)Optimal input configuration of dynamic contrast enhanced MRI in convolutional neural networks for liver segmentation., , and . Medical Imaging: Image Processing, volume 10949 of SPIE Proceedings, page 109491V. SPIE, (2019)The truth is hard to make: Validation of medical image registration., , , and . ICPR, page 2294-2300. IEEE, (2016)Insights from the IronTract challenge: Optimal methods for mapping brain pathways from multi-shell diffusion MRI., , , , , , , , , and 41 other author(s). NeuroImage, (2022)