Results 91 to 100 of about 11,927 (254)
Explainable deep learning self‐supervised vision transformer for fundus‐based myopia classification
Abstract Purpose To develop and validate a self‐supervised vision transformer (ViT) for automated three‐class classification of Normal, High Myopia (HM), and Pathologic Myopia (PM) from colour fundus photographs, with anatomically faithful interpretability. Methods A DINOv2 self‐supervised ViT was fine‐tuned using a two‐stage transfer‐learning protocol
Eirini Maliagkani +6 more
wiley +1 more source
A quad‐cistronic fluorescent biosensor system for real‐time detection of subcellular Ca2+ signals
Background and Purpose The calcium ion (Ca2+) is a versatile cellular messenger regulating a variety of biological processes. Compounds modulating subcellular Ca2+ signals hold substantial pharmacological potential. Advances in fluorescent biosensors have revolutionised Ca2+ imaging.
Anna Lischnig +7 more
wiley +1 more source
Targeting hexokinase 2 to induce breast cancer cell senescence
Background and Purpose Hexokinase 2 (HK2) is a key enzyme linked to high tumour cell proliferation. Its inhibitors such as 3‐bromopyruvic acid (3‐BP) induce cancer cell death, highlighting HK2 modulation as potential anti‐cancer treatment. However, standard chemotherapies often cause the emergence of senescent cancer cells, which goes along with cell ...
Helmut Bischof +8 more
wiley +1 more source
Background and Purpose Colorectal cancer is one of the most prevalent cancers worldwide, and novel precision medicine approaches are rapidly improving patient outcomes. Phosphodiesterase 4B (PDE4B) is a member of an enzyme family (PDE4) that hydrolyses intracellular cAMP to control spatial and temporal signalling cues.
Alina Zorn +11 more
wiley +1 more source
Statistical classification techniques for photometric supernova typing [PDF]
Future photometric supernova surveys will produce vastly more candidates than can be followed up spectroscopically, highlighting the need for effective classification methods based on light curves alone.
Nichol, R. +10 more
core
Abstract Background and Purpose Rare but severe adverse events (AEs) associated with mRNA‐lipid nanoparticle (LNP) COVID‐19 vaccines, such as Comirnaty, include anaphylaxis and inflammatory organ disorders, but their underlying mechanisms are poorly understood. We aimed to develop an animal model to study these phenomena.
László Dézsi +13 more
wiley +1 more source
Democratising Multi‐Projector Displays
Spatially augmented reality (SAR) transforms large, surround, collaborative experiences out of VR/AR headsets to the real world by merging content from projectors with the physical environment. This detailed state‐of‐the‐art survey reports on the advancements in multi‐projector aggregation and hardware technologies used to achieve SAR and build ...
Aditi Majumder, Muhammad Twaha Ibrahim
wiley +1 more source
Measuring the star formation rate density from CNOC2 [PDF]
This thesis charts the evolution of the Universal Star Formation Rate Density (SFRD) across the redshift range 0.2 < z < 0.6, using the 2nd Canadian Network for Observational Cosmology Survey (CN0C2).
Whitaker, Richard James
core
3D Character Reconstruction from Hand‐drawn Model Sheets
Abstract Hand‐drawn model sheets are widely used in character design to define 3D shape and appearance through sparse multi‐view drawings. Reconstructing 3D characters from such sparse inputs has traditionally been challenging due to insufficient visual information.
Hyejeong Yoon +3 more
wiley +1 more source
TreeON: Reconstructing 3D Tree Point Clouds from Orthophotos and Heightmaps
Abstract We present TreeON, a novel neural‐based framework for reconstructing detailed 3D tree point clouds from sparse top‐down geodata, using only a single orthophoto and its corresponding Digital Surface Model (DSM). Our method introduces a new training supervision strategy that combines both geometric supervision and a differentiable shadow and ...
Angeliki Grammatikaki +4 more
wiley +1 more source

