Tao Tan

Nov 6, 2024 | nature.com | Yuan Gao |Xin Wang |Hong-yu Zhou |Tianyu Zhang |Luyi Han |Zaiyi Liu | +3 more

AbstractMulti-modal image analysis using deep learning (DL) lays the foundation for neoadjuvant treatment (NAT) response monitoring. However, existing methods prioritize extracting multi-modal features to enhance predictive performance, with limited consideration on real-world clinical applicability, particularly in longitudinal NAT scenarios with multi-modal data.

Sep 3, 2024 | onlinelibrary.wiley.com | Tao Tan |Shuyi Zhang |Yong Zhou

Supporting Information Filename Description cjs11813-sup-0001-supinfo.pdfPDF document, 878.8 KB The accompanying Supplementary Material includes auxiliary technical lemmas, the theoretical proofs of Lemma 1 and Theorems 1–5, and additional results from our simulation studies. References , , and (2006). Manifold regularization: A geometric framework for learning from labeled and unlabeled examples. Journal of Machine Learning Research, 7(11): 2399–2434. , , , and (1998).