Medical image analysis (MedIA) has become an essential tool in medicine and healthcare,
aiding in disease diagnosis, prognosis, and treatment planning, and recent successes in …

A critical yet unpredictable complication following cataract surgery is intraocular lens
dislocation. Postoperative stability is imperative, as even a tiny decentration of multifocal …

Learning a generalizable medical image segmentation model is an important but
challenging task since the unseen (testing) domains may have significant discrepancies …

Medical Image Analysis (MedIA) has become indispensable in modern healthcare,
enhancing clinical diagnostics and personalized treatment. Despite the remarkable …

Existing Masked Image Modeling (MIM) depends on a spatial patch-based masking-
reconstruction strategy to perceive objects' features from unlabeled images, which may face …

Optical coherence tomography (OCT) technology enables imaging of 3D fingerprint
structures. Extracting surface and internal fingerprints for identity recognition is possible by …

X-ray images play a vital role in the intraoperative processes due to their high resolution and
fast imaging speed and greatly promote the subsequent segmentation, registration and …

While deep learning (DL) methods based on empirical risk minimization (ERM) have
achieved superior detection performance on public infrared small target detection (IRSTD) …

Although recent years have witnessed significant advancements in medical image
segmentation, the pervasive issue of domain shift among medical images from diverse …

The growing need for accurate and efficient 3D identification of tumors, particularly in liver
segmentation, has spurred considerable research into deep learning models. While many …