Titlebook: Data Engineering in Medical Imaging; First MICCAI Worksho Binod Bhattarai,Sharib Ali,Danail Stoyanov Conference proceedings 2023 The Editor

corn732

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,A Client-Server Deep Federated Learning for?Cross-Domain Surgical Image Segmentation,common to both the source and target domains. The clients consist of the respective domain-specific parameters and make requests to the server while learning their parameters and inferencing. We evaluate our framework in two benchmark datasets, demonstrating applicability in computer-assisted interv

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Pulmonary-Veins

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,Investigating Transformer Encoding Techniques to?Improve Data-Driven Volume-to-Surface Liver Registation. However, view occlusion, lack of meaningful feature landmarks, and liver deformation between the pre- and intra-operative settings all contribute to the difficulty of this registration task. In this work, we leverage some of the state-of-the-art deep learning frameworks to implement and test

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,Task-Guided Domain Gap Reduction for?Monocular Depth Prediction in?Endoscopy,rom real data and overfit to synthetic anatomies and properties. This work proposes a novel approach to leverage labeled synthetic and unlabeled real data. While previous domain adaptation methods indiscriminately enforce the distributions of both input data modalities to coincide, we focus on the e

Charlatan

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