For example, T1-weighted and T2-weighted images are commonly utilized to extract radiomic features, while diffusion-weighted imaging (DWI) and dynamic contrast-enhanced (DCE) sequences are well-established for obtaining apparent diffusion coefficient (ADC) and AUC60 parametric maps, respectively. AUC...
Finally, parallel to atom-centered message-passing interatomic potentials, the Atomic Cluster Expansion (ACE) has been developed as a unifying framework for various descriptor-based MLIPs12. ACE can also be expressed in terms of the same tensor product operation introduced above, with further details...
These modules enhance the ability to generate dense semantic segmentation maps from sparse LiDAR data through multi-level feature aggregation. HADF-Net (Zhou et al. 2024) simultaneously captures local geometric and global semantic information through a hybrid attention mechanism and adaptively adjusts ...
Peer review informationNature Communicationsthanks Philip Benson and Luca Caricchi for their contribution to the peer review of this work. Peer reviewer reports are available. Publisher’s noteSpringer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliation...
Publisher's Note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. Supplementary Information Below is the link to the electronic supplementary material. Supplementary file1 Supplementary material with the interview guide is provided (DOCX 59...
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Therefore, relying on a combined use of these tools, one could use the Path2Models qualitative models by training them against data of, for instance, a cell type of interest, and subsequently analyzing the resulting models. Creation of SBGN maps applying constraint-based layout SBGN provides a ...
(2023a) proposed MAPS, which involves three steps: knowledge mining, knowledge integration and knowledge selection to generate quality translations. Extension evaluation of the WMT22 test set shows that MAPS improves the performance of models like GPT-3.5 and Alpaca and also addresses the ...
The identity of these sub-networks is usually unknown ahead of time and cannot be determined from visual inspection alone, necessitating algorithmic approaches for estimating nodes’ community assignments. The modularity heuristic is an objective function that maps a network and partition its nodes into...
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. Supplementary Information Below is the link to the electronic supplementary material. 13688_2024_481_MOESM1_ESM.pdf Further and extensive tabular and graphical views are exhibited in the...