Latest AI and machine learning research in medical ethics / professional responsibility for healthcare professionals.
Accurate prediction of stress and strain fields in hierarchical composite microstructures is critica...
Unified visual anomaly detection seeks to train a single detector that can be deployed across catego...
Accurate coronary Digital Subtraction Angiography (DSA) vessel segmentation is essential for compute...
Urban building change detection from bi-temporal aerial imagery is important for redevelopment monit...
Can a vision model truly see an object, or does it only fit surface-level visual cues? Following Wit...
While interpretable models such as concept bottleneck models (CBMs) and program synthesis methods en...
Skin lesion segmentation is a key task in computer-aided dermatological diagnosis, where accuracy di...
This study introduces Blasto-Net, a multi-task deep learning model for comprehensive blastocyst anal...
Ultrasound is a non-invasive, real-time, and cost-effective imaging technique widely used in clinica...
ABACUS is a unified vision-language model that handles object counting, crowd counting, referring-ex...
Lesion segmentation in breast ultrasound involves two related challenges. In images with lesions, sp...
Chromatin is organized into self-interacting topologically associating domains partitioned by bounda...
Intravascular ultrasound (IVUS) lumen and external elastic membrane (EEM) segmentation is important ...
Although DINOv3 has demonstrated remarkable semantic discrimination in natural imagery, its direct a...
Precise biomedical image segmentation is crucial for clinical diagnosis. Geometric cues (e.g., bound...
Accurate pediatric brain tumor segmentation remains challenging due to limited annotated data, heter...
Medical image segmentation is often framed as a search for stronger architectures, but this can obsc...
Static neural point reconstructions capture a subject at high fidelity from posed images. Given such...
Background: Long-acting pre-exposure prophylaxis (PrEP) expands HIV prevention options for women. Ho...
Background.Renoprotective therapies - SGLT2 inhibitors, finerenone, and renin-angiotensin system inh...
Background and Purpose: Drug resistant epilepsy (DRE) affects approximately 15 million people worldw...