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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:2.8/Q1

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共收录本刊相关文章索引3177条
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
Stephen Ching,Christopher Zelonis,Christian Herz et al. Stephen Ching et al.
Purpose: To establish a proof-of-concept for a dynamic, image-derived patient-specific physical simulation platform designed to aid in the assessment of left atrioventricular valve (LAVV) repair strategies in pediatric pa...
Dominik Schneider,Lalithkumar Seenivasan,Sampath Rapuri et al. Dominik Schneider et al.
Purpose: Curating large-scale datasets of operating room (OR) workflow, encompassing rare, safety-critical, or atypical events, remains operationally and ethically challenging. This data bottleneck complicates the develop...
Lowell Lobo,Daragh Crowley,William Plishker et al. Lowell Lobo et al.
Purpose: This work aims to develop and validate a hybrid electromagnetic(EM)-ArUco tracking framework integrated into a laparoscopic ultrasound augmentation system, aiming to improve accuracy, stability, and robustness in...
Tobias Stauffer,Blanca Gutiez,Reto Babst et al. Tobias Stauffer et al.
Purpose: Current femoral nailing simulators face a trade-off between delivering procedural guidance and realistic haptic feedback. This study aimed to address this limitation by developing and evaluating an augmented real...
Yue Yang,Fabian Necker,Christoph Leuze et al. Yue Yang et al.
Purpose: In this paper, we develop and clinically evaluate a depth-only, markerless augmented reality (AR) registration pipeline on a head-mounted display, and assess accuracy across small, or low-curvature anatomies in r...
Sebastian Schmailzl,Jonas Fuchtmann,Alissa Jell et al. Sebastian Schmailzl et al.
Introduction: Technological innovation is rapidly transforming surgical care, yet disparities in access and adoption persist. This study introduces a flexible, population-based model designed to assess and potentially gui...
Koichiro Murakami,Tomoyuki Mizukuro,Tatsushi Tokuyasu Koichiro Murakami
Purpose: Rectovaginal fistula from perineal body injury during delivery is rare, with limited case volumes preventing standardized protocols. We developed an AI system for anatomical landmark detection and evaluated its e...
Aure Enkaoua,Manuel Villa,João Ramalhinho et al. Aure Enkaoua et al.
Purpose: Accurate registration between pre-operative anatomical models and intra-operative endoscopic views is essential for reliable Augmented reality (AR) guidance in pituitary surgery. While coarse alignment can be ach...
Max Steiger,Mohammad Rezapourian,Marko Rak et al. Max Steiger et al.
Purpose: Accurate needle tracking is critical for the success of computed tomography (CT)-guided interventions, where even minor deviations may compromise procedural safety and clinical outcomes. However, existing image-g...
Lea Ehrhardt,Georg Hille,Ehsan Amini et al. Lea Ehrhardt et al.
Purpose: This study investigates possible differences of female and male patients' data in regard to the prediction of mortality and troponin level of acute pulmonary embolism (APE) patients. Radiomics features are utiliz...