Titlebook: Medical Image Computing and Computer Assisted Intervention – MICCAI 2023; 26th International C Hayit Greenspan,Anant Madabhushi,Russell Tay

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Ying-Qiu Zheng,Harith Akram,Stephen Smith,Saad Jbabdi

具體

UXDiff: Synthesis of?X-Ray Image from?Ultrasound Coronal Image of?Spine with?Diffusion Probabilisticrasound curve angle (UCA) to approximate the distribution of X-ray under Cobb angle condition in the reverse process. We then presented an angle embedding transformer module, establishing the angular variability conditions in the sampling stage. The quantitative results on the ultrasound and X-ray p

拋射物

羞辱

IVORY

Neural LerPlane Representations for?Fast 4D Reconstruction of?Deformable Tissuesy reducing the workload of dynamic tissue modeling. We also propose a novel sample scheme to boost optimization and improve performance in regions with tool occlusion and large motions. Experiments on DaVinci robotic surgery videos demonstrate that LerPlane accelerates optimization by over 100. whil

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SegmentOR: Obtaining Efficient Operating Room Semantics Through Temporal Propagationredictions from our method can be projected back into 2D images; we establish that these 2D predictions can be used to improve the performance of existing surgical phase recognition methods. Our method shows promise in automating 3D OR segmentation with a 20 times lower annotation cost than existing

侵蝕

Revisiting Distillation for Continual Learning on Visual Question Localized-Answering in Robotic Surelf-calibrated heterogeneous distillation (SH-Dist) to preserve the old knowledge. The weight aligning (WA) technique is also integrated to adjust the weight bias between old and new tasks. We further establish a CL framework on three public surgical datasets in the context of surgical settings that

結(jié)合

Intra-operative Forecasting of?Standing Spine Shape with?Articulated Neural Kernel Fieldsositive definite linear system. To accommodate with the variance in spine appearance, we use a Signed Distance Function for articulated structures (A-SDF) to capture the articulation vectors in a disentangled latent space, using distinct encoding vectors to represent both shape and articulation para

圍巾

Foam-Cells