Foundation models for generalist medical artificial intelligence

M Moor, O Banerjee, ZSH Abad, HM Krumholz… - Nature, 2023 - nature.com
The exceptionally rapid development of highly flexible, reusable artificial intelligence (AI)
models is likely to usher in newfound capabilities in medicine. We propose a new paradigm …

MCWESRGAN: improving enhanced super-resolution generative adversarial network for satellite images

K Karwowska, D Wierzbicki - IEEE Journal of Selected Topics …, 2023 - ieeexplore.ieee.org
With the dynamic technological development, we are witnessing a major progress in
solutions that allow for the observation of Earth's surface. Small satellites have a significant …

Improving satellite imagery segmentation using multiple Sentinel-2 revisits

K Jindgar, GW Lindsay - arXiv preprint arXiv:2409.17363, 2024 - arxiv.org
In recent years, analysis of remote sensing data has benefited immensely from borrowing
techniques from the broader field of computer vision, such as the use of shared models pre …

Bridging the Resolution Gap in Remote Sensing: A Comparative Analysis of Deep Learning Models for Real-World Single Image Super-Resolution

UA Shami, B Khan, Z Zafar… - 2024 4th International …, 2024 - ieeexplore.ieee.org
In the field of remote sensing, the demand for improved spatial resolution has persisted
across multiple domains despite the exponential rise in satellite images. Single Image Super …

Enhancing Cotton Crop Mapping in Pakistan: Integrating Transfer and Active Learning with Remote Sensing Technologies

NU Sabah, Z Zafar, FA Satti, K Berns… - 2024 4th International …, 2024 - ieeexplore.ieee.org
Cotton cultivation is crucial for Pakistan's economy, significantly contributing to its GDP and
export earnings. However, a decline in cotton production has arisen due to factors like …