Journal of Nuclear Medicine

On Hallucinations in Artificial Intelligence–Generated Content for Nuclear Medicine Imaging (the DREAM Report)

Artificial intelligence–generated content (AIGC) has shown remarkable performance in nuclear medicine imaging (NMI), offering cost-effective software solutions for tasks such as image enhancement, ...
IEEE

Towards Complex Backgrounds: A Unified Difference-Aware Decoder for Binary Segmentation

Abstract: Binary segmentation is used to distinguish objects of interest from background, and is an active area of convolutional encoder-decoder network research. The current decoders are designed for ...
IEEE

Integrating Non-Square Filter and Boundary Enhancement Into Encoder–Decoder Network for Lesion-Aware Segmentation of Large-Size Low-Resolution Bone Scintigrams

Abstract: Background: Accurate identification of bone metastases in lung cancer is essential for effective diagnosis and treatment. However, existing methods for detecting bone metastases face ...
eLife

Predicting human decision-making across task conditions via individuality transfer

Encoding individual behavioral traits into a low-dimensional latent representation enables the accurate prediction of ...
AZoRobotics on MSN

Combining AI and X-ray physics to overcome tomography data gaps

With PFITRE, Brookhaven scientists achieve breakthrough 3D imaging in nanoscale X-ray tomography, combining AI and physics for superior clarity and precision.