Results 161 to 170 of about 60,338 (274)

Generative Artificial Intelligence for Computer Vision in Endodontics: A Review of Current State and Future Potential

International Endodontic Journal, EarlyView.
ABSTRACT Background Computer vision methods based on artificial intelligence (AI) have found numerous applications in endodontic diagnosis and treatment planning. While most current applications employ discriminative deep learning models for detection and classification tasks, the field is now witnessing the rise of generative AI (GenAI), a class of AI
Hossein Mohammad‐Rahimi, Sanyam Jain, Khuram Naveed, Sepanta Hosseinpour, Lise‐Lotte Kirkevang, Ali Nosrat, Ruben Pauwels   +6 more
wiley   +1 more source

GAN-based bone suppression using a combined loss function. [PDF]

Front Artif Intell
Jochymek L, Vašinková M, Doleží V, Gajdoš P.   +3 more
europepmc   +1 more source

Breeding 5.0: Artificial intelligence (AI)‐decoded germplasm for accelerated crop innovation

Journal of Integrative Plant Biology, EarlyView.
ABSTRACT Crop breeding technologies are vital for global food security. While traditional methods have improved yield, stress tolerance, and nutrition, rising challenges such as climate instability, land loss, and pest pressure now demand new solutions.
Jiayi Fu, Shouzhi Zheng, Longjiang Fan, Xiaoming Zheng, Qian Qian   +4 more
wiley   +1 more source

Visual guided AI color art image generation using enhanced GAN. [PDF]

Sci Rep
Wu Z.
europepmc   +1 more source

Leveraging modified ex situ tomography data for segmentation of in situ synchrotron X‐ray computed tomography

Journal of Microscopy, EarlyView.
Abstract In situ synchrotron X‐ray computed tomography enables dynamic material studies. However, automated segmentation remains challenging due to complex imaging artefacts – like ring and cupping effects – and limited training data. We present a methodology for deep learning‐based segmentation by transforming high‐quality ex situ laboratory data to ...
Tristan Manchester, Adam Anders, Julio Spadotto, Hannah Eccleston, William Beavan, Hugues Arcis, Brian J. Connolly   +6 more
wiley   +1 more source

Deep learning for synthetic PET imaging: a systematic mapping review of techniques, metrics, and clinical relevance. [PDF]

Eur Radiol Exp
Vaccaro M, Rosa E, Placidi E, Guarnera A, Secinaro A, Gandolfo C, Garganese MC, Napolitano A.   +7 more
europepmc   +1 more source

Validation of machine learning based scenario generators

Journal of Risk and Insurance, EarlyView.
Abstract Machine learning (ML) methods are becoming increasingly important for designing economic scenario generators for internal models. Validating data‐driven models requires different methods than validating classical, theory‐based models. We discuss two novel aspects of such validation: first, checking the multivariate distribution of risk factors,
Gero Junike, Solveig Flaig, Ralf Werner
wiley   +1 more source

Learning turbulent flows with generative models for super resolution and sparse flow reconstruction. [PDF]

Nat Commun
Oommen V, Khodakarami S, Bora A, Wang Z, Karniadakis GE.   +4 more
europepmc   +1 more source

Organizational Readiness, AI Literacy, and the New Frontier of R&D: How Generative AI Shapes Innovation Capacity

R&D Management, EarlyView.
ABSTRACT Generative artificial intelligence (AI) can transform research and development (R&D) by enhancing efficiency, accelerating product development, and fostering innovation. As companies seek to integrate this technology, understanding the role of organizational readiness and AI literacy as well as generative AI's impact on innovation capacity ...
Stefanie Steinhauser, Paulina Heid
wiley   +1 more source

SynthCraft: An AI partner for synthetic data generation to support data access and augmentation in healthcare. [PDF]

PLOS Digit Health
Callender T, Boyd A, Davis R, Ruhrberg Estevez S, Lavista Ferres JM, van der Schaar M.   +5 more
europepmc   +1 more source