International Journal of Computer Assisted Radiology and Surgery

Papers
(The H4-Index of International Journal of Computer Assisted Radiology and Surgery is 20. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2021-06-01 to 2025-06-01.)
ArticleCitations
A systematic analysis of surgical interventions for the airway in the mature unilateral cleft lip nasal deformity: a single case study61
Surgical workflow recognition with 3DCNN for Sleeve Gastrectomy54
Large-scale surgical workflow segmentation for laparoscopic sacrocolpopexy44
Anisotropic neural deblurring for MRI acceleration41
A convenient and stable vertebrae instance segmentation method for transforaminal endoscopic surgery planning39
Cascaded neural network-based CT image processing for aortic root analysis38
Acknowledgement to reviewers34
Learning 3D medical image keypoint descriptors with the triplet loss27
A virtual reality simulator for training the surgical reduction of patient-specific supracondylar humerus fractures26
Spectral augmentation for heart chambers segmentation on conventional contrasted and unenhanced CT scans: an in-depth study25
Effective methods of diabetic retinopathy detection based on deep convolutional neural networks25
Ring artifact removal for differential phase-contrast X-ray computed tomography using a conditional generative adversarial network24
Intra-saccular device modeling for treatment planning of intracranial aneurysms: from morphology to hemodynamics22
Seeing under the cover with a 3D U-Net: point cloud-based weight estimation of covered patients22
Automatic measurement plane placement for 4D Flow MRI of the great vessels using deep learning21
Towards targeted ultrasound-guided prostate biopsy by incorporating model and label uncertainty in cancer detection21
Entropy and distance maps-guided segmentation of articular cartilage: data from the Osteoarthritis Initiative21
Object and anatomical feature recognition in surgical video images based on a convolutional neural network21
A multi-scale unsupervised learning for deformable image registration20
Impact of deformation on a supine-positioned image-guided breast surgery approach20
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