The change of layer thickness of retina is closely associated with the development of ocular
diseases such as glaucoma and optic disc drusen. Optical coherence tomography (OCT) is …

The world is shifting towards renewable energy sources due to the harmful effects of fossils
fuel-based power generation in the form of global warming and climate change. When it …

Anomaly detection plays a vital role in various realistic applications, including fraud
detection, network traffic analysis, medical diagnosis, and so on. Semi-supervised anomaly …

With the wide application of knowledge distillation between an ImageNet pre-trained teacher
model and a learnable student model, industrial anomaly detection has witnessed a …

Unsupervised anomaly detection methods can identify surface defects in industrial images
by leveraging only normal samples for training. Due to the risk of overfitting when learning …

Out-of-distribution (OOD) detection is crucial for safely deploying automated medical image
analysis systems, as abnormal patterns in images could hamper their performance …

CT is a main modality for imaging liver diseases, valuable in detecting and localizing liver
tumors. Traditional anomaly detection methods analyze reconstructed images to identify …

In industrial IoT, sensors are embedded in machinery to monitor critical factors such as
bearing wear, motor degradation, and environmental conditions. Traditional sensor-based …