Abstract: In unsupervised medical image registration, encoder-decoder architectures are widely used to predict dense, full-resolution displacement fields from paired images. Despite their popularity, ...
ABSTRACT: Magnetic Resonance Imaging (MRI) is commonly applied to clinical diagnostics owing to its high soft-tissue contrast and lack of invasiveness. However, its sensitivity to noise, attributable ...
Abstract: This paper describes a targeted drug design method based on a framework of multiscale encoder-decoder. Encoders are used to encode target gene and protein features. A decoder is used to ...
I'm experiencing an issue with the Windows program Base64 Encoder/Decoder. The drag-and-drop functionality, which is supposed to let me easily drop files into the application for encoding or decoding, ...
To better understand human cognition, scientists trained a large language model on 10 million psychology experiment questions. It now answers questions much like we do. By Carl Zimmer Companies like ...
Now that gRPC no longer supports Java 7, is there a appetite to move from Guava's Base64 encoder/decoder to the one provided by the JDK? Later version of the JDK have improved Base64 encoding/decoding ...
ABSTRACT: Pointer instruments are widely used in the nuclear power industry. Addressing the issues of low accuracy and slow detection speed in recognizing pointer meter readings under varying types ...
Pneumothorax, a life-threatening condition characterized by air accumulation in the pleural cavity, requires early and accurate detection for optimal patient outcomes. Chest X-ray radiographs are a ...
Large language models (LLMs) have changed the game for machine translation (MT). LLMs vary in architecture, ranging from decoder-only designs to encoder-decoder frameworks. Encoder-decoder models, ...