Explore: Multimodal Imaging

an image whose intensity distribution indicates metabolic activity. PET scanners offer sampling rates in the tenths of seconds. Multimodal imaging frequently

Multimodality is the application of multiple literacies within one medium. Multiple literacies or "modes" contribute to an audience's understanding of

predict missing data in multimodal datasets, such as images and text. Healthcare diagnostics: multimodal models integrate medical imaging, genomic data, and

multimodal, having the ability to also process or generate other types of data, such as images or audio. These LLMs are also called large multimodal models

A.; Radpour, Roxanne; Kakoulli, Ioanna (2017-11-14). "Macroscale multimodal imaging reveals ancient painting production technology and the vogue in Greco-Roman

Gemini is a family of multimodal large language models (LLMs) developed by Google DeepMind, and the successor to LaMDA and PaLM 2. Comprising Gemini Ultra

multilingual, multimodal generative pre-trained transformer developed by OpenAI and released in May 2024. It can process and generate text, images and audio

even low exposures (<500g) were linked to a 2 times higher risk. Multimodal imaging techniques can detect specific signs of the condition, such as mottled

applying image computing methods, such as registration and segmentation. Functional magnetic resonance imaging (fMRI) is a medical imaging modality that

Michael; Kuwert, Torsten; Uder, Michael; Bäuerle, Tobias (2015). "Multimodal imaging of bone metastases: From preclinical to clinical applications". Journal