An explainable radiomics model based on multiparametric magnetic resonance for differentiating benign and malignant orbital tumors. [PDF]
Zhang G, Xu X, Hong R, Han X, Huang W.
europepmc +1 more source
Abstract Ecological surveys are often fragmented, costly and limited in scale, leading to large and long‐standing knowledge gaps which threaten our ability to properly safeguard biodiversity. Passive acoustic monitoring (PAM) has promised to deliver automated biodiversity monitoring, but networks are rarely deployed on scales that can offer truly novel
Benjamin Cretois +17 more
wiley +1 more source
A Rapid Prediction Method for Underwater Vehicle Radiated Noise Based on Feature Selection and Parallel Residual Neural Network. [PDF]
Ji F, Li Z, Feng W, Shi M, Ji X.
europepmc +1 more source
NePO: Neural Point Octrees for Large‐Scale Novel View Synthesis
We introduce Neural Point Octrees (NePOs), a scalable radiance field representation that organises point clouds hierarchically for efficient optimisation and rendering of large scale scenes. NePOs enable level of detail selection, joint refinement of appearance and camera poses, and real‐time rendering of hundreds of millions of points.
Noah Lewis +3 more
wiley +1 more source
Graph Machine Learning Can Estimate Drug Concentrations in Whole Blood from Forensic Screening Results. [PDF]
Lutchyn T, Mardal M, Nedahl M, Ricaud B.
europepmc +1 more source
Basis Networks: Learning basis functions for free‐form triangulations
Abstract We present a framework for learning compactly supported basis functions that define tangent continuous surfaces based on coarse irregular triangle meshes. The basis functions are represented as MLPs. Smoothness of the basis functions is achieved by using the values of Loop basis functions as the parameterization of the surface.
T. Djuren, M. Alexa
wiley +1 more source
PBR‐Inspired Controllable Diffusion for Image Generation
Abstract Despite recent advances in text‐to‐image generation, controlling geometric layout and PBR material properties in synthesized scenes remains challenging. We present a pipeline that first produces a G‐buffer (albedo, normals, depth, roughness, shading, and metallic) from a text prompt and then renders a final image through a PBR‐inspired branch ...
Bowen Xue +3 more
wiley +1 more source
Risk identification and assessment for multitype safety events under the coupling of environmental factors. [PDF]
Liu Q, Li J, Jin Z.
europepmc +1 more source
A multicenter deep learning framework integrating radiomics and vision transformers for comprehensive ovarian tumor analysis from ultrasound imaging. [PDF]
Ji X +7 more
europepmc +1 more source
Mamba-AE: pixel-wise anomaly detection auto-encoder in chemical exchange saturation transfer magnetic resonance imaging. [PDF]
Zhao Y +8 more
europepmc +1 more source

