A PET block detector module using an array of sub-millimeter lutetium oxyorthosilicate (LSO)
crystals read out by an array of surface-mount, semiconductor photosensors has been …

Recent progress in deterministic prompt learning has become a promising alternative to
various downstream vision tasks, enabling models to learn powerful visual representations with …

A full-ring PET insert device should be able to enhance the image resolution of existing
small-animal PET scanners. Methods: The device consists of 18 high-resolution PET detectors in …

Unsupervised stereo matching has received a lot of attention since it enables the learning of
disparity estimation without ground-truth data. However, most of the unsupervised stereo …

The aim of this study is to design an optimized pinhole collimator using Monte Carlo simulation
for the development of an ultra high-resolution SPECT using a position sensitive photo-…

Unveiling the image structure and dense correspondence under the haze layer remains a
challenging task, since the scattering effects cause image features to be less distinctive. In this …

Virtual-pinhole PET (VP-PET) imaging is a new technology in which one or more high-resolution
detector modules are integrated into a conventional PET scanner with lower resolution …

The purpose of this study was to improve the performance of a small gamma camera,
utilizing a NaI (Tl) plate and a 5''position sensitive PMT. We attempted to build a NaI (Tl) plate …

… This work extends its preliminary version (Song et al. 2018). This version newly adds: (1)
an improved network architecture including elaborate fusion methods based on the attention …

With recent advances in deep-learning techniques and the advantages of synthetic aperture
radar (SAR) images, deep-learning-based SAR ship detection has attracted a lot of attention…