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G-Aligner: a graph-based feature alignment method for untargeted LC–MS-based metabolomics

Ruimin Wang, Miaoshan Lu, Shaowei An, Jinyin Wang et al. • BMC Bioinformatics (2023)

Abstract Background Liquid chromatography–mass spectrometry is widely used in untargeted metabolomics for composition profiling. In multi-run analysis scenarios, features of each run are aligned into consensus features by feature alignment ...

DOAJ Open Access (DOAJ) DOI: 10.1186/s12859-023-05525-4

Enhancing Deep Learning–Based Subabdominal MR Image Segmentation During Rectal Cancer Treatment: Exploiting Multiscale Feature Pyramid Network and Bidirectional Cross-Attention Mechanism

Yu Xiao, Xin Yang, Sijuan Huang, Lihua Guo • International Journal of Biomedical Imaging (2025)

Conclusion: A multiscale feature pyramid network effectively reduces the semantic gap, and the bidirectional cross-attention mechanism facilitates feature alignment between the encoding and decoding stages....

DOAJ Open Access (DOAJ) DOI: 10.1155/ijbi/7560099

Interpretability-preserving knowledge distillation via multi-granular feature alignment for resource-efficient CNNs

Shiv Singh, Neelu Jyothi Ahuja • Discover Computing (2026)

Abstract The application of deep learning models in resource-constrained environments requires a trade-off among accuracy, efficiency, and interpretability a trilemma frequently neglected in conventional knowledge distillation (KD) approach...

DOAJ Open Access (DOAJ) DOI: 10.1007/s10791-026-10123-y