Latest AI and machine learning research in smoking & tobacco for healthcare professionals.
Die casting plays a crucial role across various industries due to its ability to craft intricate sha...
Recent work has shown that diffusion models can generate high-quality images by operating directly o...
Whole-slide image (WSI) preprocessing, typically comprising tissue detection followed by patch extra...
To mitigate the threat of misinformation, multimodal manipulation localization has garnered growing ...
Hyperspectral image classification (HSIC) is a challenging task due to high spectral dimensionality,...
To mitigate the threat of misinformation, multimodal manipulation localization has garnered growing ...
Background: Cardiovascular diseases (CVDs) remain the leading global cause of morbidity and mortalit...
Time series forecasting is a fundamental problem with applications in climate, energy, healthcare, a...
The rectangular tokens common to vision transformer methods for visual recognition can strongly affe...
Protein expression within oncogenic or suppressive pathways is a hallmark indicator of oncogenesis. ...
360° depth estimation is a challenging research problem due to the difficulty of finding a represent...
Purpose: Studies based on electronic health records (EHR) often rely on structured data, which may i...
Missing data in single-cell sequencing datasets poses significant challenges for extracting meaningf...
Weakly Supervised Semantic Segmentation (WSSS), which relies only on image-level labels, has attract...
Patch-based methods are widely used in 3D medical image segmentation to address memory constraints i...
Open-vocabulary 6D object pose estimation empowers robots to manipulate arbitrary unseen objects gui...
Modern vision backbones for 3D medical imaging typically process dense voxel grids through parameter...
Background: Cancer research emphasises early detection, yet quantitative methods for analysing norma...
Supervised convolutional neural networks (CNNs) are widely used to solve imaging inverse problems, a...
Vision Transformers (ViTs) have gained rapid adoption in computational pathology for their ability t...
This work presents an end-to-end pipeline for generating, refining, and evaluating adversarial patch...