Results 121 to 130 of about 3,760 (232)

VQ‐Style: Disentangling Style and Content in Motion with Residual Quantized Representations

Computer Graphics Forum, EarlyView.
Abstract Human motion data is inherently rich and complex, containing both semantic content and subtle stylistic features that are challenging to model. We propose a novel method for effective disentanglement of the style and content in human motion data to facilitate style transfer.
Fatemeh Zargarbashi, Dhruv Agrawal, Jakob Buhmann, Martin Guay, Stelian Coros, Robert W. Sumner   +5 more
wiley   +1 more source

Non‐Rigid 3D Shape Correspondences: From Foundations to Open Challenges and Opportunities

Computer Graphics Forum, EarlyView.
Abstract Estimating correspondences between deformed shape instances is a long‐standing problem in computer graphics; numerous applications, from texture transfer to statistical modelling, rely on recovering an accurate correspondence map. Many methods have thus been proposed to tackle this challenging problem from varying perspectives, depending on ...
A. Zhuravlev, L. Bastian, D. Cao, N. El Amrani, P. Roetzer, V. Ehm, R. Marin, H. Nishizawa, S. Morishima, C. Theobalt, N. Navab, D. Cremers, F. Bernard, Z. Lähner, V. Golyanik   +14 more
wiley   +1 more source

NAADF: Globally Illuminated Voxel Worlds Accelerated with Nested Axis‐Aligned Distance Fields

Computer Graphics Forum, EarlyView.
Abstract Achieving realistic rendering of 3D scenes in real time using path tracing is challenging due to the high sample count required, with ray tracing as the bottleneck. Focusing on voxels as a geometry representation offers significant opportunities for optimizations, especially for tracing the rays, but also for computing the samples.
A. Ulschmid, M. Ott, J. Macho, M. Wimmer, S. Ohrhallinger   +4 more
wiley   +1 more source

Circadian rhythms of metabolite abundance in Drosophila are largely driven by time of feeding

The FEBS Journal, EarlyView.
Circadian clocks exist in the brain and peripheral tissues such as the Drosophila fat body. Single‐nuclei transcriptomics reveal that the fat body clock generates time‐of‐day differences in metabolic gene transcription, which may also be indirectly controlled by brain clocks.
Sumit Saurabh, Charlene Y. P. Guerrero, Madelyn R. Cusick, Amanda J. Samaras, Taylor M. Stephenson, Sebastian L. Kirkpatrick, Gregory J. Matthews, Daniel J. Cavanaugh   +7 more
wiley   +1 more source

Evaluating integrative strategies for incorporating phenotypic features in spatial transcriptomics

Journal of Microscopy, EarlyView.
Abstract The key advantage of spatial transcriptomics (ST) technologies lies in the spatial domain: these techniques not only offer an unprecedented opportunity to interrogate intact biological samples in a spatially informed manner, but also set the stage for integration with other imaging‐based modalities.
Levin M Moser, Ahmad Kamal Hamid, Esteban Miglietta, Nodar Gogoberidze, Beth A Cimini   +4 more
wiley   +1 more source

The Use of Artificial Intelligence in Neonatal Seizure Detection: An Artificial Intelligence‐Assisted Systematic Review

Journal of Paediatrics and Child Health, EarlyView.
ABSTRACT Background Artificial intelligence (AI) is increasingly used in health care. We systematically reviewed evidence on the accuracy of AI in detecting neonatal seizures. Methods We searched PubMed and CENTRAL (covering Medline, EMBASE, CINAHL and trial registries) (29 December 2025) for studies that evaluated the use of all AI applications for ...
Nai Ming Lai, Kee Thai Yeo, Juin Yee Kong, Menghao Duan, Shaun Wen Huey Lee, Nathorn Chaiyakunapruk, Karan Varshney, Colleen Ovelman, Kee‐Hsin Chen   +8 more
wiley   +1 more source

Variational graph autoencoder for reconstructed transcriptomic data associated with NLRP3 mediated pyroptosis in periodontitis. [PDF]

Sci Rep
Yadalam PK, Natarajan PM, Ardila CM.
europepmc   +1 more source

The Evolution of Breast Cancer Detection: A Review of Imaging, Machine Learning, and Multimodal Strategies

Computational and Systems Oncology, Volume 6, Issue 1, December 2026.
ABSTRACT Breast cancer is still a serious problem in the world arena, where its early and prompt detection is the most important factor in improving patient prognosis and survival. The use of traditional diagnostic techniques, such as imaging (e.g., mammography and ultrasound) and subsequent histopathological examination, is the mainstay, which ...
Likhon Chandra Sarkar, Farida Siddiqi Prity, Farhad Hussain, Anup Talukder, Mirza Raquib, Sharmina Rahman, MD Jiabul Hoque   +6 more
wiley   +1 more source

Accurate identification of snoRNA targets using variational graph autoencoder to advance the redevelopment of traditional medicines. [PDF]

Front Pharmacol
Wang Z, Chen Y, Ma H, Gao H, Zhu Y, Wang H, Zhang N.   +6 more
europepmc   +1 more source

Big Data in Cancer Genomics: Computational Foundations and Emerging Pathways for Precision Oncology

Computational and Systems Oncology, Volume 6, Issue 1, December 2026.
ABSTRACT This review aims to explore the computational foundations of big data in cancer genomics and examine emerging pathways that support precision oncology and personalized cancer care. A narrative review approach was adopted to synthesize evidence from PubMed, Scopus, Web of Science, and IEEE Xplore.
Nur Vanu, Nur Mohammad, Fahad Ahmed, Towsif Alam, Koushik Saha, Durga Shahi, Adib Hossain, Mia Md. Tofayel Gonee Manik, Mst. Rina Parvin   +8 more
wiley   +1 more source