Latest AI and machine learning research in care of terminally ill / palliative care for healthcare professionals.
Early detection of suicide risk in adolescents is crucial but faces challenges including stigma, rel...
Clinical monitoring in the most vulnerable patients such as newborns relies on invasive and costly p...
Radiotherapy treatment planning is a resource-intensive process characterized by multiple manual ste...
Repetitive transcranial magnetic stimulation (rTMS) targeting the primary motor cortex (M1) provides...
There is a lack of automated pipelines for diagnostic classification of point-of-care tests for negl...
Primary care is facing multiple crises, including an increase in health misinformation. Digital heal...
Diffusion models have established themselves as the de facto primary paradigm in visual generative...
Chart summarization, which focuses on extracting key information from charts and interpreting it i...
Charge-domain compute-in-memory (CIM) SRAMs have recently become an enticing compromise between co...
Informed by the success of the transformer model in various computer vision tasks, we design an en...
Portraits or selfie images taken from a close distance typically suffer from perspective distortio...
Large Multimodal Models (LMMs) extend Large Language Models (LLMs) by handling diverse inputs such...
We build upon time-series classification by leveraging the capabilities of Vision Language Models ...
Deep neural network (DNN)-based joint source and channel coding is proposed for privacy-aware end-...
Flowcharts are typically presented as images, driving the trend of using vision-language models (V...
We propose a new simulator, training approach, and policy architecture, collectively called SOUS V...
Boosted by Multi-modal Large Language Models (MLLMs), text-guided universal segmentation models fo...
Video streaming services depend on the underlying communication infrastructure and available netwo...
Neural Radiance Field (NeRF)-based volumetric video has revolutionized visual media by delivering ...
This paper presents a comprehensive exploration of the phenomenon of data redundancy in video unde...
This study explores fine-tuning multilingual ASR (Automatic Speech Recognition) models, specifical...