Latest AI and machine learning research in identifying and reporting dependent adult abuse for healthcare professionals.
Electrical Impedance Tomography (EIT) provides a non-invasive, portable imaging modality with sign...
Safety assessment of patients with one-dimensionally structured passive implants, like cranial pla...
Birth weight (BW) is a key indicator of neonatal health, with low birth weight (LBW) linked to inc...
Humans exhibit diverse and expressive whole-body movements. However, attaining human-like whole-bo...
Humans exhibit diverse and expressive whole-body movements. However, attaining human-like whole-bo...
Semi-supervised change detection (SSCD) aims to detect changes between bi-temporal remote sensing ...
We present a Bayesian dynamic borrowing (BDB) approach to enhance the quantitative identification ...
Enhancing forward-looking sonar images is critical for accurate underwater target detection. Curre...
Reinforcement Learning from Human/AI Feedback (RLHF/RLAIF) has been extensively utilized for prefe...
Bias in data collection, arising from both under-reporting and over-reporting, poses significant c...
Brain decoding currently faces significant challenges in individual differences, modality alignmen...
As the demand for efficient, low-power computing in embedded and edge devices grows, traditional c...
Reference-based sketch colorization methods have garnered significant attention due to their poten...
Small Unmanned Aerial Vehicle (UAV) based visual inspections are a more efficient alternative to m...
Recent studies focus on the Remote Sensing Image-Text Retrieval (RSITR), which aims at searching f...
Tracking financial investments in climate adaptation is a complex and expertise-intensive task, pa...
The proliferation of AI-generated content brings significant concerns on the forensic and security...
Knowledge Distillation (KD) compresses neural networks by learning a small network (student) via t...
This document defines the key considerations for developing and reporting an artificial intelligence...
Background Standardized bone tumor reporting is crucial for consistent, risk-aligned patient managem...
Background Ovarian-Adnexal Reporting and Data System (O-RADS) for MRI helps assign malignancy risk, ...