AXIS 发表于 2025-3-26 21:30:19
Carolina Raposo,Cristóvão Sousa,Luis Ribeiro,Rui Melo,João P. Barreto,João Oliveira,Pedro Marques,Fe in der wissenschaftlichen Weiterbildung neben den individuellen insbesondere auch die institutionellen Adressaten in den Blick genommen werden (müssen). Nachfrageorientierung kann insofern als neuer Steuerungsmodus universitärer Studienangebotsentwicklung bezeichnet werden, der konträr zu den langjintelligible 发表于 2025-3-27 02:24:23
Puyang Wang,Vishal M. Patel,Ilker Hacihaliloglu in der wissenschaftlichen Weiterbildung neben den individuellen insbesondere auch die institutionellen Adressaten in den Blick genommen werden (müssen). Nachfrageorientierung kann insofern als neuer Steuerungsmodus universitärer Studienangebotsentwicklung bezeichnet werden, der konträr zu den langjCAB 发表于 2025-3-27 07:02:52
A Combined Simulation and Machine Learning Approach for Image-Based Force Classification During Robos trained on images of simulated deformed sclera. We validate our approach on real OCT images collected on five . porcine eyes using a robotically-controlled needle. Results show that the applied force range can be predicted with . accuracy. Being real-time, this solution can be integrated in the co山羊 发表于 2025-3-27 13:04:08
http://reply.papertrans.cn/63/6292/629187/629187_34.png祸害隐伏 发表于 2025-3-27 16:57:22
X-ray-transform Invariant Anatomical Landmark Detection for Pelvic Trauma Surgeryof the pelvic anatomy to predict 23 landmarks in single X-ray images. View independence is contingent on training conditions and, here, is achieved on a spherical segment covering 120.90. in LAO/RAO and CRAN/CAUD, respectively, centered around AP. On synthetic data, the proposed approach achieves aHPA533 发表于 2025-3-27 18:12:29
http://reply.papertrans.cn/63/6292/629187/629187_36.png大方不好 发表于 2025-3-28 01:37:27
http://reply.papertrans.cn/63/6292/629187/629187_37.pngExposition 发表于 2025-3-28 05:21:39
DeepDRR – A Catalyst for Machine Learning in Fluoroscopy-Guided Proceduresy and digital radiography from CT scans, tightly integrated with the software platforms native to deep learning. We use machine learning for material decomposition and scatter estimation in 3D and 2D, respectively, combined with analytic forward projection and noise injection to achieve the required我不死扛 发表于 2025-3-28 07:04:16
http://reply.papertrans.cn/63/6292/629187/629187_39.pngcrucial 发表于 2025-3-28 14:17:52
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