IEEE

A Deep Learning-Based Surrogate Model for Locos Etch Process TCAD Simulation Using a Conditional Variational Autoencoder

Abstract: High-cost Technology Computer-Aided Design simulations create a significant bottleneck in semiconductor process development. We present a deep learning surrogate model, using a Conditional ...
Medical Device and Diagnostic Industry (MD+DI)

The AI Era: How Deep Learning is Overcoming Data Scarcity in Medical Imaging

AI medical imaging market is projected to exceed $20B by 2035. Generative models address class imbalances in medical imaging ...
IEEE

Semantic Augmentation Variational Autoencoder for Unsupervised Anomaly Detection in Retinal OCT Images

Abstract: Performing unsupervised anomaly detection in retinal optical coherence tomography (OCT) images involves training a model solely on anomaly-free samples and detecting anomalies during ...