Author

Fiseha B. Tesema

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Open access Sep 2026

Controlled evaluation of architectural, classifier, and training refinements in MolTrans-based drug-target interaction prediction

Overall, the results show that classifier design and optimisation account for a substantial portion of the improvement over MolTrans, while the contribution of cross-modal architectural components is optimisation-sensitive and dataset-dependent.

Hao Pang, Fiseha B. Tesema, Tian-Xiang Cui et al. · BMC Bioinformatics · 0 citations

Preprint Aug 2026

DistMedVL: Distributional Vision-Language Alignment for Uncertainty-Aware Medical Image Segmentation

DistMedVL is proposed, a probabilistic vision-language framework that introduces a lightweight Probabilistic Cross-Modal Adapter (PCM-Adapter) upon frozen encoders to explicitly model representational uncertainty, exhibiting superior data efficiency, perturbation robustness and cross-dataset generalization.

Jiaxuan Li, Qing Xu, Xiang-Jian He et al. · 0 citations