Results 161 to 170 of about 2,720,483 (215)

FreqMamba-Net: a frequency-enhanced state space model for fine-grained mucosal lesion segmentation in colonoscopy. [PDF]

Front Oncol
Zhang P, Chen S, Liu X, Wu L, Zhang Y.
europepmc   +1 more source

Assessing robustness and transferability of image‐based semantic segmentation models for major field crops

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Plant breeding is essential for crop improvement, yet progress is often hindered by slow, laborious, and subjective field phenotyping methods. High‐throughput phenotyping (HTP), particularly image‐based methodologies powered by machine learning, offers a pathway to overcome these limitations.
Gustavo N. Santiago, Pedro Cisdeli, German Mandrini, Mitchell Tuinstra, Ignacio A. Ciampitti   +4 more
wiley   +1 more source

A fault-tolerant neutral-atom architecture for universal quantum computation. [PDF]

Nature
Bluvstein D, Geim AA, Li SH, Evered SJ, Bonilla Ataides JP, Baranes G, Gu A, Manovitz T, Xu M, Kalinowski M, Majidy S, Kokail C, Maskara N, Trapp EC, Stewart LM, Hollerith S, Zhou H, Gullans MJ, Yelin SF, Greiner M, Vuletić V, Cain M, Lukin MD.   +22 more
europepmc   +1 more source

Genome‐wide prediction of cloned disease resistance homologues across the Oryza genus

The Plant Genome, Volume 19, Issue 4, December 2026.
Abstract The wild relatives of rice (Oryza sativa L.) represent reservoirs of genetic diversity and potential sources of novel pest and disease resistance. The recent availability of high‐quality Oryza genome assemblies has enabled greater exploration of this diversity across the genus.
Sabrina Morrison, Jacqueline Batley, Ian Paul Navea, Van Schepler‐Luu, Robert J. Henry   +4 more
wiley   +1 more source

Conversational speech for respiratory triage in primary care: a pilot study. [PDF]

Front Med (Lausanne)
Ravi V, Noufi C.
europepmc   +1 more source

CASARS Recommender Systems: A Systematic Review on Methods, Datasets, Limitations, and Future Directions

WIREs Data Mining and Knowledge Discovery, Volume 16, Issue 4, December 2026.
This paper presents the results of a systematic literature review on recommender systems that simultaneously incorporate the context‐aware and session‐aware recommendation paradigms (CASARS). To provide an overview of this specific research area, our review investigated: (1) which techniques have been employed to model contextual preference from the ...
Matheus Henrique Cecilio Leme, Vinicius Sylvestre Simm, Douglas Rorie Tanno, Marcos Aurelio Domingues   +3 more
wiley   +1 more source

Reliability-Aware Neural Decoding with Adaptive Multi-Source Information Fusion. [PDF]

Entropy (Basel)
Fu P, Wang Z, Guo J, Zhang Y, Wang F, Zhu R, Huang Z.   +6 more
europepmc   +1 more source

MRpro: Open Framework for Model‐Based, Learned, and Quantitative MR Imaging—Application to Low‐Field MRI

NMR in Biomedicine, Volume 39, Issue 11, November 2026.
MRpro is an open‐source PyTorch framework for MR image reconstruction and quantitative parameter estimation. Its modular design combines standardized data handling, composable operators, ready‐to‐use algorithms, and deep‐learning components to support reproducible workflows for conventional and low‐field MRI.
Felix Frederik Zimmermann, Patrick Schuenke, Christoph S. Aigner, Bill A. Bernhardt, Mara Guastini, Johannes Hammacher, Helge Herthum, Noah Jaitner, Andreas Kofler, Leonid Lunin, Stefan Martin, Catarina Redshaw Kranich, Jakob Schattenfroh, David Schote, Yanglei Wu, Christoph Kolbitsch   +15 more
wiley   +1 more source

Evolutionary trajectory of microbial sulfur oxidation pathways recapitulates Earth's oxygenation history. [PDF]

Nat Commun
Ren XY, Lin XY, Tanabe TS, Loy A, Hu L, Zhu YG, Chen SC.   +6 more
europepmc   +1 more source

DreamFold: A World Model to efficiently generate protein folding pathways in the latent space

Protein Science, Volume 35, Issue 11, November 2026.
Abstract While there is an abundance of static data for the structure of biological macromolecules, the data regarding their folding mechanisms and dynamics is scarce, posing a challenge to the training of AI models. The World Model approach, which has been very successful in robotics, can come in handy in this regard. From limited data, it can build a
Alan Ianeselli, Jewon Im, Eddie Cavallin, Mark B. Gerstein   +3 more
wiley   +1 more source