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期刊名:International journal of computer assisted radiology and surgery

缩写:INT J COMPUT ASS RAD

ISSN:1861-6410

e-ISSN:1861-6429

IF/分区:2.3/Q2

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共收录本刊相关文章索引3056
Clinical Trial Case Reports Meta-Analysis RCT Review Systematic Review
Classical Article Case Reports Clinical Study Clinical Trial Clinical Trial Protocol Comment Comparative Study Editorial Guideline Letter Meta-Analysis Multicenter Study Observational Study Randomized Controlled Trial Review Systematic Review
Jiaming Feng,Xukun Zhang,Shahid Farid et al. Jiaming Feng et al.
Purpose: Anatomical landmarks on the liver surface, such as the falciform ligament and hepatic ridge, exhibit complex geometry and significant morphological variability. Accurate segmentation of these structures on 3D liv...
Keqi Chen,Séraphin Baributsa,Lilien Schewski et al. Keqi Chen et al.
Purpose: Gaze-following, the task of inferring where individuals are looking, has been widely studied in computer vision, advancing research in visual attention modeling, social scene understanding, and human-robot intera...
Shih-Feng Huang,Hsin-Ping Tseng,Chao-Wen Hsu Shih-Feng Huang
Purpose: Pelvimetry may aid preoperative planning in rectal cancer surgery, yet manual measurements are time-consuming and MRI-based methods require dedicated protocols. We developed a fully automated CT-based pipeline fo...
Manuel Maria Loureiro da Rocha,Dionne S Brandsma,Lisette van der Molen et al. Manuel Maria Loureiro da Rocha et al.
Purpose: Simultaneous high-resolution impedance manometry (HRIM) and videofluoroscoic swallow studies (VFSS) can address important limitations of VFSS. However, clinicians must analyze each modality independently, doublin...
Dervishan Sezer,Doga Demirel,Madeleine Leake et al. Dervishan Sezer et al.
Purpose: Transoral robotic surgery (TORS) has become a well-established surgical technique for the treatment of oropharyngeal cancer, but the significant learning curve and lack of standardized credentialing have resulted...
Wenqi Zhou,Qing Dai,Omar Curiel et al. Wenqi Zhou et al.
Purpose: Segmentation neural networks have demonstrated promising results for interventional needle localization on MRI. However, these networks require large training datasets with tedious annotation processes and additi...
Hisashi Ishida,Yuechao Lu,Pourya Shirazian Hisashi Ishida
Purpose: Surgical navigation depends on precise image-to-patient registration, yet line-of-sight issues on the tracker, anatomy deformation, and occlusion from instruments and the surrounding environment degrade accuracy ...
Maiko Nagao,Kaito Urata,Atsushi Teramoto et al. Maiko Nagao et al.
Purpose: Interpretation of imaging findings based on morphological characteristics is important for diagnosing pulmonary nodules on chest computed tomography (CT) images. In this study, we constructed a visual question an...
Jonas Hein,Lilian Calvet,Matthias Seibold et al. Jonas Hein et al.
Purpose: Accurate detection and 6D pose estimation of surgical instruments are crucial for many computer-assisted interventions. However, supervised methods lack flexibility for new or unseen tools and require extensive a...
Oluwatosin Alabi,Meng Wei,Charlie Budd et al. Oluwatosin Alabi et al.
Purpose: Understanding surgical instrument-tissue interactions requires not only identifying which instrument performs which action on which anatomical target, but also grounding these interactions spatially within the su...