Brain|
Data-driven approaches|
Image-based approaches|

Wang, Jinxia, Liang Qiao, Haibin Lv, and Zhihan Lv. ‘Deep Transfer Learning-Based Multi-Modal Digital Twins for Enhancement and Diagnostic Analysis of Brain MRI Image’. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2022, 1–1.

Brain|
Data-driven approaches|
Image-based approaches|

Wan, Zhibo, Youqiang Dong, Zengchen Yu, Haibin Lv, and Zhihan Lv. ‘Semi-Supervised Support Vector Machine for Digital Twins Based Brain Image Fusion’. Frontiers in Neuroscience 15 (9 July 2021): 705323.

Brain|
Data-driven approaches|
Multiple-sclerosis|

Walsh, Jonathan R., Aaron M. Smith, Yannick Pouliot, David Li-Bland, Anton Loukianov, and Charles K. Fisher. ‘Generating Digital Twins with Multiple Sclerosis Using Probabilistic Neural Networks’. arXiv, 19 April 2020.

Brain|
Data-driven approaches|
Multiple-sclerosis|

Voigt, Isabel, Hernan Inojosa, Anja Dillenseger, Rocco Haase, Katja Akgün, and Tjalf Ziemssen. ‘Digital Twins for Multiple Sclerosis’. Frontiers in Immunology 12 (3 May 2021): 669811.