Latest AI and machine learning research in medical ethics / professional responsibility for healthcare professionals.
Many problems of interest in engineering, medicine, and the fundamental sciences rely on high-fide...
The evaluation and improvement of medical large language models (LLMs) are critical for their real...
Referring Remote Sensing Image Segmentation (RRSIS) aims to segment target objects in remote sensi...
High-dynamic scene optical flow is a challenging task, which suffers spatial blur and temporal dis...
Applying machine learning to increasingly high-dimensional problems with sparse or biased training...
Objective: we propose a procedure for calibrating 4 parameters governing the mechanical boundary c...
This paper introduces LAFT, a novel feature transformation method designed to incorporate user kno...
Robotic surgery offers enhanced precision and adaptability, paving the way for automation in surgi...
Automated airway segmentation from lung CT scans is vital for diagnosing and monitoring pulmonary ...
Over the past decade, the Table Union Search (TUS) task has aimed to identify unionable tables wit...
Fast and accurate estimation of quantiles on data streams coming from communication networks, Inte...
Semi-supervised semantic segmentation (SSSS) aims to improve segmentation performance by utilizing...
Variational inequalities play a pivotal role in a wide array of scientific and engineering applica...
Medical image segmentation plays a crucial role in various clinical applications. A major challeng...
Finding the cadastral boundaries of farmlands is a crucial concern for land administration. Theref...
Existing supervised action segmentation methods depend on the quality of frame-wise classification...
The deployment of advanced deep learning models for medical image segmentation is often constraine...
Despite the rapid development of safety alignment techniques for LLMs, defending against multi-tur...
Resting-state functional magnetic resonance imaging (rs-fMRI) and its derived functional connectiv...
Immersed boundary methods have attracted substantial interest in the last decades due to their pot...
This study presents a narrative review of the use of digital health technologies (DHTs) and artifi...