Results 101 to 110 of about 6,924,037 (250)
This review discusses deep-learning-based approaches for image deblurring and super-resolution, with emphasis on CNN architectures, blur types, loss functions, and performance indicators.
Mohanad A. Al-Askari, S A Fedosin
doaj +1 more source
Leucine‐rich glioma inactivated 1 (LGI1) is a ganglioside‐binding protein
Neuronal hyperexcitability associated with a decrease/absence of the extracellular protein LGI1 has been suggested to be primarily due to the downregulation of Kv1 channel expression. The molecular mechanisms underlying this decrease have not yet been elucidated.
Kévin Debreux +7 more
wiley +1 more source
A Survey and Taxonomy of Loss Functions in Machine Learning
Most state-of-the-art machine learning techniques revolve around the optimization of loss functions, making the choice of an objective critical to model performance and reliability. Although recent reviews discuss loss functions in specific domains or in
Lorenzo Ciampiconi +4 more
doaj +1 more source
The ubiquitin system in normal and infected germinal center B cells
The ubiquitin system plays a central role in germinal center (GC) B cells, influencing differentiation to long‐lived memory B cells. Oncogenic gammaherpesviruses gain access to memory B cells by establishing latency in GC B cells. Mapping ubiquitin mechanisms in normal and infected GC B cells will define specific molecular circuits in B cells germane ...
Destiny Davis +2 more
wiley +1 more source
The Impact of Losses on the Management of Internal Inventory in Production
For a manufacturing company entering a chain with a simple or complex configuration, the urgent task is to achieve a cost balance between a shortage and an excess of inventory.
Sofia N. Lyubyashenko
doaj +1 more source
Metastatic niche shaped by host factors influences disseminated cancer cell fate
Metastasis is shaped not only by cancer cells but also by the environments they encounter. This review explores how factors such as aging, diet, the microbiome, lifestyle, and environmental exposures remodel organ‐specific niches in the lung, liver, bone, and brain, influencing where metastatic cells survive, remain dormant, or grow, and ultimately ...
Gwennan Delyth Ward +2 more
wiley +1 more source
Optimal prediction under asymmetric loss [PDF]
Prediction problems involving asymmetric loss functions arise routinely in many fields, yet the theory of optimal prediction under asymmetric loss is not well developed.
Francis X. Diebold +1 more
core
The article presents research findings on developing a medical diagnostic system based on electrical impedance tomography technology. One of the key components of this project is developing a method for reconstructing the structure of human lungs using ...
Paweł Olszewski +2 more
core +1 more source
A Systematic Review on Synthetic Medical Images Generation—Recent Trends and Future Opportunities
Background/Objectives: Generative Models have revolutionized the synthesis of complex, realistic medical images. However, obtaining annotated, high-quality datasets is challenging and expensive due to privacy concerns, high human annotation costs, and ...
Yumna Waheed +2 more
doaj +1 more source
Transient oligomers formed by intrinsically disordered proteins may be ‘invisible’ to direct detection yet remain accessible to solution NMR through equilibrium‐exchange measurements and pressure‐jump experiments. Complementary methods report on mass, stoichiometry, selected distance distributions, morphology, and internal packing.
Martin D. Gelenter, Ad Bax
wiley +1 more source

