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International Journal of Computer Assisted Radiology and Surgery|April 22, 2020
Deep learning-based liver segmentation for fusion-guided interventionXi Fang, Sheng Xu, Bradford J Wood, et al.
International Journal of Computer Assisted Radiology and Surgery|September 18, 2025
DCEM-TCRCN: an innovative approach to depression detection using wearable IoT devices and deep learningXinfeng Xiao, Shijun Li, Wei Yu
International Journal of Computer Assisted Radiology and Surgery|September 17, 2025
Egocentric video analysis for automated assessment of open surgical skills via deep learningAthanasios Gazis, Dimitrios Schizas, Stylianos Kykalos, et al.
International Journal of Computer Assisted Radiology and Surgery|August 5, 2025
Real-time 3D US-CT fusion-based semi-automatic puncture robot system: clinical evaluationMasayuki Nakayama, Bo Zhang, Ryoko Kuromatsu, et al.
International Journal of Computer Assisted Radiology and Surgery|September 12, 2025
A mobile robotic approach to autonomous surface scanning in legal medicineSarah Grube, Sarah Latus, Martin Fischer, et al.
International Journal of Computer Assisted Radiology and Surgery|September 25, 2025
Deep learning-based segmentation of acute pulmonary embolism in cardiac CT imagesEhsan Amini, Georg Hille, Janine Hürtgen, et al.
International Journal of Computer Assisted Radiology and Surgery|September 23, 2025
Classification of esophageal cancer by using hyperspectral dataMarianne Maktabi, Claudia Hain, Hannes Köhler, et al.
International Journal of Computer Assisted Radiology and Surgery|August 6, 2025
Towards a zero-shot low-latency navigation for open surgery augmented reality applicationsMichael Schwimmbeck, Serouj Khajarian, Christopher Auer, et al.
International Journal of Computer Assisted Radiology and Surgery|August 15, 2021
Depth-based branching level estimation for bronchoscopic navigationCheng Wang, Yuichiro Hayashi, Masahiro Oda, et al.
International Journal of Computer Assisted Radiology and Surgery|May 9, 2021
Multiview multimodal network for breast cancer diagnosis in contrast-enhanced spectral mammography imagesJingqi Song, Yuanjie Zheng, Muhammad Zakir Ullah, et al.
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