Results 221 to 230 of about 597,096 (311)

Cell Segmentation Beyond 2D—A Review of the State‐of‐the‐Art

Advanced Intelligent Discovery, EarlyView.
Cell segmentation underpins many biological image analysis tasks, yet most deep learning methods remain limited to 2D despite the inherently 3D nature of cellular processes. This review surveys segmentation approaches beyond 2D, comparing 2.5D and fully 3D methods, analyzing 31 models and 32 volumetric datasets, and introducing a unified reference ...
Fabian Schmeisser, Haseeb Muhammad, Junaid Younas, Gillian Lovell, Bianca Migliori, Andreas Dengel, Sheraz Ahmed   +6 more
wiley   +1 more source

Application of Digital, Web-Based, and Online Strategies in Point of Care Ultrasound (POCUS) Training: A Scoping Review. [PDF]

Health Sci Rep
Hang J, Maranna S, Parange N, Kumar S.
europepmc   +1 more source

Knowledge Dissemination in the Web Era.

, 2012
In this research work we address the limitations of the current scientic knowledge dissemination model to face the new scenario posed by the Web. We explore the historical reasons behind the current model, and we show that it is essentially the same today, even if the Web has made dissemination nearly real time and free.
openaire   +2 more sources

The Interoperability Challenge in DFT Workflows Across Implementations

Advanced Intelligent Discovery, EarlyView.
Interoperability and cross‐validation remain major challenges in the computational materials science. In this work, we introduce a common input/output standard that enables internal translation across multiple workflow managers—AiiDA, PerQueue, Pipeline Pilot, and SimStack—while producing results in a unified schema.
Simon K. Steensen, Tushar Singh Thakur, Manuel Dillenz, Johan M. Carlsson, Celso R. C. Rêgo, Eibar Flores, Hamidreza Hajiyani, Felix Hanke, Juan María García Lastra, Wolfgang Wenzel, Nicola Marzari, Tejs Vegge, Giovanni Pizzi, Ivano E. Castelli   +13 more
wiley   +1 more source

Quantifying the AI readiness gap: An international, multidisciplinary assessment of artificial intelligence literacy in the radiation oncology community. [PDF]

Clin Transl Radiat Oncol
Malone C, Callens D, Forde E, Leech M, Cardenas C, Gooding MJ, Ryan S, Thirion P, Fitzpatrick C, O'Donovan T, Carver A, Giron IH, Browne DP, Rogerson C, McClean B, Heijmen BJM, Hanna GG, Nicholson J.   +17 more
europepmc   +1 more source

DeepMapper: Attention‐Based AutoEncoder for System Identification in Wound Healing and Stage Prediction

Advanced Intelligent Discovery, EarlyView.
The authors develop a deep learning model for real‐time tracking of wound progression. The deep learning framework maps the nonlinear evolution of a time series of images to a latent space, where they learn a linear representation of the dynamics. The linear model is interpretable and suitable for applications in feedback control.
Fan Lu, Ksenia Zlobina, Michael Briden, Oscar Avalos, Héctor Carrión, Sebastian Osorio, Hsin‐ya Yang, Alexandra Nava, Michelle D. Bagood, Marco Rolandi, Roslyn Rivkah Isseroff, Marcella Gomez   +11 more
wiley   +1 more source

Mapping the scholarly landscape of Saudi Arabia-related folk medicine: a bibliometric study. [PDF]

Libyan J Med
Ghoneim MM, Fahmy EK, Nael M, El-Sherbiny M, Al-Serwi RH, Hossain S, Elokely K, Ahmad N.   +7 more
europepmc   +1 more source

When Biology Meets Medicine: A Perspective on Foundation Models

Advanced Intelligent Discovery, EarlyView.
Artificial intelligence, and foundation models in particular, are transforming life sciences and medicine. This perspective reviews biological and medical foundation models across scales, highlighting key challenges in data availability, model evaluation, and architectural design.
Kunying Niu, Yuxing Wang, Limin Zou, Jing Huang   +3 more
wiley   +1 more source

AI-driven personalization and impulsive buying in e-commerce: a bibliometric analysis of research trends among Millennials and Generation Z. [PDF]

Front Res Metr Anal
Monica George A, R R, Sebastian S, Kurian VG, Joy J.   +4 more
europepmc   +1 more source

Multi‐Property Machine Learning Models to Accelerate the Transition Toward Bio‐Based Emulsion Polymers

Advanced Intelligent Discovery, EarlyView.
A machine learning framework simultaneously predicts four critical properties of monomers for emulsion polymerization: propagation rate constant, reactivity ratios, glass transition temperature, and water solubility. These tools can be used to systematically identify viable bio‐based monomer pairs as replacements for conventional formulations, with ...
Kiarash Farajzadehahary, Nicholas Ballard   +1 more
wiley   +1 more source