欲望小妹
发表于 2025-3-30 11:01:20
E. L. Suresh Babu,G. Suneel Kumar,Suvendu Kumar Sasmal,Rabi Narayan Beheranference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2021, held in Strasbourg, France, in September/October 2021.*.The 531 revised full papers presented were carefully reviewed and selected from 1630 submissions in a double-blind review process. The papers are organized in
Hallmark
发表于 2025-3-30 15:03:30
Soil Dynamics, Earthquake and Computational Geotechnical EngineeringProceedings of the I
Melodrama
发表于 2025-3-30 20:16:54
lis nodes, on a testing set of 105 scans with both healthy and diseased subjects. This is a significant improvement over available state-of-the-art methods. Automatic artery labeling is promising to minimize manual effort in characterizing the complicated ICA networks and provides valuable informati
独裁政府
发表于 2025-3-30 22:05:42
Jitendra Khatti,Kamaldeep Singh Groveresign and aneurysm morphology that, by virtually deploying a WEB, will enable the assessment of different device sizes before the device implantation. This technique was tested on 6 MCA aneurysm cases and the simulation results were compared to the size of the deployed device on the patient, using p
kidney
发表于 2025-3-31 03:00:33
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割让
发表于 2025-3-31 07:36:19
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DEMN
发表于 2025-3-31 12:41:13
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grounded
发表于 2025-3-31 15:53:54
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终点
发表于 2025-3-31 18:41:15
Sai Manasa Chirlam Charla,Teja Munaga,Kalyan Kumar Gonavaramcrease robustness, and improve reliability of subsequent data analysis. Accordingly, in this paper, we propose a new training strategy by introducing both .-. and .-. deformation consistency constraints. Specifically, losses enforcing both inverse-consistency for image pairs and cycle-consistency fo
残酷的地方
发表于 2025-3-31 21:54:05
P. V. Pavan Kumar,Shantanu Patra,Sumanta Haldar,Michael John Brown,Jonathan Adam Knappett,Yaseen Umacollection and model retraining, hence achieving an important flexibility towards developing cost-effective clinically-deployable machine learning models. We evaluate our method on several patient positioning datasets and demonstrate its efficacy compared to competing methods, even showing robustnes