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Few-shot Semantic Segmentation with Support-induced Graph Convolutional Network.

, , , , , , and . BMVC, page 126. BMVA Press, (2022)

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Comparing position and orientation accuracy of different electromagnetic sensors for tracking during interventions., , , , , , , and . Int. J. Comput. Assist. Radiol. Surg., 11 (8): 1487-1498 (2016)Few-shot Semantic Segmentation with Support-induced Graph Convolutional Network., , , , , , and . CoRR, (2023)Evolutionary multi-objective meta-optimization of deformation and tissue removal parameters improves the performance of deformable image registration of pre- and post-surgery images., , , , and . Medical Imaging: Image Processing, volume 10949 of SPIE Proceedings, page 1094939. SPIE, (2019)A first step toward uncovering the truth about weight tuning in deformable image registration., , , , and . Medical Imaging: Image Processing, volume 9784 of SPIE Proceedings, page 978445. SPIE, (2016)On-the-Fly Motion-Compensated Cone-Beam CT Using an a Priori Motion Model., , , and . MICCAI (1), volume 5241 of Lecture Notes in Computer Science, page 729-736. Springer, (2008)Kandinsky Conformal Prediction: Efficient Calibration of Image Segmentation Algorithms., , , , and . CoRR, (2023)Dynamic Transformer for Few-shot Instance Segmentation., , , , , and . ACM Multimedia, page 2969-2977. ACM, (2022)Recurrent Variational Network: A Deep Learning Inverse Problem Solver applied to the task of Accelerated MRI Reconstruction., , , and . CVPR, page 722-731. IEEE, (2022)Diversifying Multi-Objective Gradient Techniques and their Role in Hybrid Multi-Objective Evolutionary Algorithms for Deformable Medical Image Registration., , , , and . GECCO, page 1255-1262. ACM, (2015)PC-Reg: A pyramidal prediction-correction approach for large deformation image registration., , and . Medical Image Anal., (December 2023)