Results 71 to 80 of about 9,259 (217)
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
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
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
Tangent Blow‐Ups for Processing Non‐Manifold Geometry
Abstract Many geometry processing pipelines implicitly assume their input data is a manifold, or is sampled from one, with a unique tangent plane at every point. Geometric data, however, routinely contains sharp features like edges, corners, self‐intersections, branching junctions, and other singularities, rendering standard methods ill‐defined at ...
Alice Petrov +3 more
wiley +1 more source
Advances in 4D Representation: Geometry, Motion, and Interaction
We survey 4D representation through three key pillars — geometry, motion, and interaction — offering a selective, representation‐centric perspective to guide researchers in choosing and customizing the right 4D representation for their tasks. Abstract We present a survey on 4D generation and reconstruction, a fast‐evolving subfield of computer graphics
M. Zhao +7 more
wiley +1 more source
Recent Trends in Inverse Rendering
This survey reviews 84 papers published between 2020 and 2025 on inverse rendering methods, introducing a taxonomy based on input data, scene representations, optimization strategies, and evaluation methods. We analyze emerging trends in neural, differentiable, and Gaussian‐splatting approaches, discuss applications, and identify key challenges and ...
S. Ullah, F. Pellacini, A. Giachetti
wiley +1 more source
We investigated the potential of iloperidone as an activator of Sigma‐1 receptor (S1R) neuroprotective function in juvenile Huntington's disease (jHD). We tested iloperidone on cortical neurons differentiated from patient‐derived iPSCs, demonstrating that it acts as a S1R agonist, decreasing apoptosis, huntingtin aggregation, and oxidative stress ...
Ersilia Fornetti +11 more
wiley +1 more source

