Deep learning image reconstruction generates thinner slice iodine maps with improved image quality to increase diagnostic acceptance and lesion conspicuity: a prospective study on abdominal dual-energy CT.

BitSNNs: Revisiting Energy-Efficient Spiking Neural Networks.

Auroral Image Classification Based on Second-Order Convolutional Network and Channel Attention Awareness.

Darkit: A User-Friendly Software Toolkit for Spiking Large Language Model.

Toward Large-scale Spiking Neural Networks: A Comprehensive Survey and Future Directions.

Fast-SNN: Fast Spiking Neural Network by Converting Quantized ANN.

Spiking Deep Residual Networks.

Evaluation of Image Quality and Detectability of Deep Learning Image Reconstruction (DLIR) Algorithm in Single- and Dual-energy CT.

Spiking Deep Residual Network.

Identifying novel glioma associated pathways based on systems biology level meta-analysis.