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Found 6 papers, 2 papers with code
M3DA: Benchmark for Unsupervised Domain Adaptation in 3D Medical Image Segmentation
Domain shift presents a significant challenge in applying Deep Learning to the segmentation of 3D medical images from sources like Magnetic Resonance Imaging (MRI) and Computed Tomography (CT).
Anatomical Positional Embeddings
We train our APE model on 8400 publicly available CT images of abdomen and chest regions.
Robust Curve Detection in Volumetric Medical Imaging via Attraction Field
Understanding body part geometry is crucial for precise medical diagnostics.
The impact of deep learning aid on the workload and interpretation accuracy of radiologists on chest computed tomography: a cross-over reader study
Previous studies have measured the time-saving effect of using a deep-learning-based aid (DLA) for CT interpretation.
Decentralized Local Stochastic Extra-Gradient for Variational Inequalities
We extend the stochastic extragradient method to this very general setting and theoretically analyze its convergence rate in the strongly-monotone, monotone, and non-monotone (when a Minty solution exists) settings.
Distributed Saddle-Point Problems: Lower Bounds, Near-Optimal and Robust Algorithms
This paper focuses on the distributed optimization of stochastic saddle point problems.
