A Teenager Just Turned Eye Scans Into an AI Test for Autism and ADHD

A school project prompted 17-year-old Edward Kang to develop an AI tool that may lead to earlier diagnoses of the disorders.
IEEE

EEG Conformer: Convolutional Transformer for EEG Decoding and Visualization

Abstract: Due to the limited perceptual field, convolutional neural networks (CNN) only extract local temporal features and may fail to capture long-term dependencies for EEG decoding. In this paper, ...
IEEE

Mask R-CNN-Based Detection and Segmentation for Pulmonary Nodule 3D Visualization Diagnosis

Abstract: 3D visualization diagnosis for pulmonary nodule detection and segmentation is becoming a promising topic in the field of surgical researches and applications. Aiming at assisting ...
GitHub

PCC Net: Perspective Crowd Counting via Spatial Convolutional Network

This is an official implementation of the paper "PCC net" (PCC Net: Perspective Crowd Counting via Spatial Convolutional Network). In the paper, the experiments are conducted on the three populuar ...
Scientific Research Publishing

Kim, B., Park, J., & Suh, J. (2020). Transparency and Accountability in AI Decision Support: Explaining and Visualizing Convolutional Neural Networks for Text Information ...

has been cited by the following article: ...
GitHub

PU-GCN: Point Cloud Upsampling using Graph Convolutional Networks (CVPR21')

2026/06/02: add fixes and troubleshooting notes for open GitHub issues: safe FPS indexing during test, corrected Hausdorff calculation, more robust CGAL evaluation compilation/P2F handling, HDF5 ...
Hosted on MSN

ADHD medications: mechanisms, benefits, and risks

The slides explore how ADHD medications work, including their effects on neurotransmitters, brain arousal systems, and potential overlap with sleep-related issues. They review evidence for short- and ...