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International Journal of Computer Assisted Radiology and Surgery|June 7, 2021
Liver disease classification from ultrasound using multi-scale CNNHui Che, Lloyd G Brown, David J Foran, et al.
International Journal of Computer Assisted Radiology and Surgery|June 20, 2021
MR-contrast-aware image-to-image translations with generative adversarial networksJonas Denck, Jens Guehring, Andreas Maier, et al.
International Journal of Computer Assisted Radiology and Surgery|June 5, 2021
DUDA-Net: a double U-shaped dilated attention network for automatic infection area segmentation in COVID-19 lung CT imagesFeng Xie, Zheng Huang, Zhengjin Shi, et al.
International Journal of Computer Assisted Radiology and Surgery|June 1, 2022
Automated image quality appraisal through partial least squares discriminant analysisR Geetha Ramani, J Jeslin Shanthamalar
International Journal of Computer Assisted Radiology and Surgery|December 22, 2022
Phantom study on surgical performance in augmented reality laparoscopyChristian Heiliger, Thomas Heiliger, Alessandra Deodati, et al.
International Journal of Computer Assisted Radiology and Surgery|November 30, 2022
Usage of a graph database for the selection of sterile items in the ORC Müller, L Bernhard, D Wilhelm
International Journal of Computer Assisted Radiology and Surgery|December 4, 2022
Automatic lower limb bone segmentation in radiographs with different orientations and fields of view based on a contextual networkRoseline Olory Agomma, Thierry Cresson, Jacques de Guise, et al.
International Journal of Computer Assisted Radiology and Surgery|December 5, 2022
Jigsaw training-based background reverse attention transformer network for guidewire segmentationGuifang Zhang, Hon-Cheng Wong, Jianjun Zhu, et al.
International Journal of Computer Assisted Radiology and Surgery|December 9, 2022
Intuitive teaching of medical device operation to clinical assistance robotsOskar Baumann, Alexander Lenz, Josef Hartl, et al.
International Journal of Computer Assisted Radiology and Surgery|June 9, 2022
Examining the effect of synthetic data augmentation in polyp detection and segmentationPrince Ebenezer Adjei, Zenebe Markos Lonseko, Wenju Du, et al.
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