Titlebook: Simulation and Synthesis in Medical Imaging; 9th International Wo Virginia Fernandez,Jelmer M. Wolterink,Adrià Casam Conference proceedings

heart-murmur

,Synthetic Augmentation for Anatomical Landmark Localization Using DDPMs,tmap of annotated landmarks. We also propose a novel way to assess the quality of the generated images using a Markov Random Field (MRF) model for landmark matching and a Statistical Shape Model (SSM) to check landmark plausibility, before we evaluate the DDPM-augmented dataset in the context of an

MEAN

裂缝

,Adapted nnU-Net: A Robust Baseline for Cross-Modality Synthesis and Medical Image Inpainting,GAN-based methods like pix2pixHD and ranks among the best methods for both challenges. We recommend this adapted nnU-Net as a new benchmark for medical image translation and inpainting tasks, and provide our implementations for public use on GitHub.

温室

啤酒

,Benchmarking Robustness of Endoscopic Depth Estimation with Synthetically Corrupted Data, depth estimation in endoscopic surgery, with the aim of driving progress in model refinement. A thorough analysis of two monocular depth estimation models using our framework reveals crucial information about their reliability under adverse conditions. Our results emphasize the essential need for a

Dorsal-Kyphosis

,A Dual-Task Mutual Learning Framework for Predicting Post-thrombectomy Cerebral Hemorrhage,tive cerebral hemorrhage. Our proposed framework incorporates two attention mechanisms, i.e., self-attention and interactive attention. Specifically, the self-attention mechanism allows the model to focus more on high-density areas in the image, which are critical for diagnosis (i.e., potential hemo

Explosive

阉割

一小块

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