Latest AI and machine learning research in smoking & tobacco for healthcare professionals.
An extensive, in-depth study of cardiovascular risk factors (CVRF) seems to be of crucial importance...
BACKGROUND: Monitoring renal function is important in imatinib-treated patients with chronic myeloid...
Flos Daturae, known as "baimantuoluo" or "yangjinhua" in China, has been used for centuries in Tradi...
Automatic and reliable segmentation of the prostate is an important but difficult task for various c...
This paper addresses the problem of recognizing human interactions with close physical contact from ...
Within clinical discourse, social history (SH) includes important information about substance use (a...
Oral tongue squamous cell carcinomas (OTSCC) are a homogeneous group of tumors characterized by aggr...
The 2014 i2b2 natural language processing shared task focused on identifying cardiovascular risk fac...
Sparse representations classification (SRC) is a powerful technique for pixelwise classification of ...
An on-water remote monitoring robotic system was developed for indirectly estimating the relative de...
Matching of keypoints across image patches forms the basis of computer vision applications, such as ...
We present a novel interactive segmentation framework incorporating a priori knowledge learned from ...
Confirming Alzheimer's disease (AD) typically relies on positron emission tomography (PET), which re...
Vision-Language Models such as CLIP exhibit strong zero-shot recognition capability by aligning imag...
We present Channel-wise Vector Quantization (CVQ), a novel image tokenization paradigm that replaces...
Vision-language models (VLMs) have achieved strong performance across diverse multimodal tasks, but ...
Accurate detection and counting of virus patches in focus-forming unit (FFU) images, also known as f...
CNN- and Transformer-based architectures have achieved strong performance in medical image segmentat...
Remote sensing vision-language models commonly rely on pretrained visual encoders to convert images ...
Salmon re-identification in commercial net-pens is challenging due to large populations, which impos...
Whole-slide MIL models are often called context-aware once graphs, Transform ers, or state-space mod...