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Interactive Manipulation and Visualization of 3D Brain MRI for Surgical Training
In modern medical diagnostics, magnetic resonance imaging (MRI) is an important technique that provides detailed insights into anatomical structures.
Learned Best-Effort LLM Serving
Many applications must provide low-latency LLM service to users or risk unacceptable user experience.
An Evaluation of Memory Optimization Methods for Training Neural Networks
To address the challenge, this paper summarizes the scenarios in which MOMs prove advantageous for model training.
Linear features segmentation from aerial images
In this paper, we presented a method for classifying and segmenting city road traffic dashed lines from aerial images using deep learning models such as U-Net and SegNet.
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