Abstract: Unsupervised domain adaptation medical image segmentation is aimed to segment unlabeled target domain images with labeled source domain images. However, different medical imaging modalities ...

Abstract: Unsupervised Domain Adaptation (UDA) is quite challenging due to the large distribution discrepancy between the source domain and the target domain. Inspired by diffusion models which have ...

See which books are being turned into movies or TV shows this year and read the original versions before tuning in! 2026 just might be the year of the page-to-screen adaptation! With on-screen ...

L-R: Margot Robbie in 'Wuthering Heights,' Matt Damon in 'The Odyssey' and Ryan Gosling in 'Project Hail Mary' Warner Bros, Universal, Amazon MGM Many books will provide backbone to both theatrical ...

New Year's Day commemorates the passing of time and the start of a new chapter, so it is fitting that the same day also presents an opportunity to breathe new life into thousands of creative works ...

A new year means a new parade of classic characters and works entering the public domain. Under U.S. law, the copyright on thousands of creations from 1930 — including films, books, musical ...

Boop-Oop-a-Doop... disembowel! The Winnie-the-Pooh: Blood and Honey movies have led to twisted takes on the likes of Peter Pan, Bambi, Popeye, Mouses Mickey and Minnie... and now Betty Boop! As the ...

The COP30 logo is seen in front of the central building ahead of the COP30 Brazil Amazonia 2025 on Nov. 3, 2025.Wagner Meier—Getty Images There are plenty of forces trying to slow the transition to ...

Machine learning models often perform impressively in the lab but struggle in the real world. The main culprit? Domain shift: the difference between the data a model was trained on and the data it ...

Johanna Nalau has received funding from the Australian Research Council. She is the Coordinating Lead Author of the Intergovernmental Panel on Climate Change WGII and affiliated with the World ...

A team of researchers have developed a domain adaption framework capable of transferring knowledge from solar power plants with abundant data to plants that need to be trained without labelled data.