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

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爆炸

Point Cloud Diffusion Models for?Automatic Implant Generationl a tedious and largely manual process. Existing approaches to automate implant generation are mainly based on 3D U-Net architectures on downsampled or patch-wise data, which can result in a loss of detail or contextual information. Following the recent success of Diffusion Probabilistic Models, we

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harmony

Pelphix: Surgical Phase Recognition from?X-Ray Images in?Percutaneous Pelvic Fixationis well-established, incorporation of interventional X-ray sequences has not yet been explored. This paper presents Pelphix, a first approach to SPR for X-ray-guided percutaneous pelvic fracture fixation, which models the procedure at four levels of granularity – corridor, activity, view, and frame

VOK

TCL: Triplet Consistent Learning for Odometry Estimation of Monocular Endoscopelt to obtain, the unsupervised training method has a broad prospect in endoscopic scenes. However, endoscopic datasets lack sufficient diversity of visual variations, and appearance inconsistency is also frequently observed in .. In this paper, we propose a triplet-consistency-learning framework (TC

Favorable

Regressing Simulation to?Real: Unsupervised Domain Adaptation for?Automated Quality Assessment in?Triding direct feedback for the development of dexterous skills. However, prior works only perform AQA on simulated TEE data due to the scarcity of real data, which lacks applicability in the real world. Considering the cost and limitations of collecting TEE data from real cases, exploiting the readil

不知疲倦

Estimated Time to?Surgical Procedure Completion: An Exploration of?Video Analysis Methodsiency, and yet remains challenging to predict due to significant variability in procedure duration. This paper studies the ETC task in depth; rather than focusing on introducing a novel method or a new application, it provides a methodical exploration of key aspects relevant to training machine lear