CNN-based cellular contractile force evaluation algorithm. - Honghan Li; Daiki Matsunaga; Tsubasa S. Matsui; Shinji Deguchi (MHS, 2019)

Image based cellular contractile force evaluation with small-world network inspired CNN: SW-UNet. - Honghan Li; Daiki Matsunaga; Tsubasa S. Matsui; Hiroki Aosaki; Shinji Deguchi (CoRR, 2019)

Can we generate real faces from rPPG signals? Probably not. - Honghan Li; Nhi Nguyen; Constantino Álvarez Casado; Xiaoting Wu; Miguel Bordallo López (PerCom Workshops, 2024)

Evaluation of video-based rPPG in challenging environments: Artifact mitigation and network resilience. - Nhi Nguyen; Ngu Nguyen 001; Honghan Li; Miguel Bordallo López; Constantino Álvarez Casado (Comput. Biol. Medicine, 2024)

Diffusion model predicts the geometry of actin cytoskeleton from cell morphology. - Honghan Li; Shiyou Liu; Shinji Deguchi; Daiki Matsunaga (PLoS Comput. Biol., 2024)

E-TRGAN: A Novel Transformer Generative Adversarial Network for High-Density Surface Electromyography Signal Reconstruction. - Yongkun Zhao; Shibo Jing; Haijun Wu; Honghan Li; Masahiro Todoh (IEEE Trans. Instrum. Meas., 2024)

SyniEMG: An open-source platform for synthesizing intramuscular electromyography signals from kinematic inputs. - Juzheng Mao; Honghan Li; Jinyang Yu; Haijun Wu; Miguel Bordallo López; Yongkun Zhao (Biomed. Signal Process. Control., 2025)

An innovative deep learning-driven technique for restoration of lost high-density surface electromyography signals. - Juzheng Mao; Honghan Li; Yongkun Zhao (Appl. Intell., 2025)

GaussianArt: Unified Modeling of Geometry and Motion for Articulated Objects. - Licheng Shen; Saining Zhang; Honghan Li; Peilin Yang; Zihao Huang; Zongzheng Zhang; Hao Zhao (CoRR, 2025)