| Wrinkle force microscopy: a machine learning based approach to predict cell mechanics from images H Li, D Matsunaga, TS Matsui, H Aosaki, G Kinoshita, K Inoue, ... Communications biology 5 (1), 361, 2022 | 29 | 2022 |
| Image based cellular contractile force evaluation with small-world network inspired CNN: SW-UNet H Li, D Matsunaga, TS Matsui, H Aosaki, S Deguchi Biochemical and Biophysical Research Communications 530 (3), 527-532, 2020 | 10 | 2020 |
| Multi-well plate cell contraction assay detects negatively correlated cellular responses to pharmacological inhibitors in contractility and migration FJ Nehwa, TS Matsui, L Honghan, D Matsunaga, Y Sakaguchi, S Deguchi Biochemical and biophysical research communications 521 (2), 527-532, 2020 | 9 | 2020 |
| Can we generate real faces from rPPG signals? Probably not H Li, N Nguyen, CA Casado, X Wu, MB López 2024 IEEE International Conference on Pervasive Computing and Communications …, 2024 | 2 | 2024 |
| Image based cellular contractile force evaluation with small-world network inspired CNN: SW-UNet L Honghan, D Matsunaga, TS Matsui, H Aosaki, S Deguchi arXiv preprint arXiv:1908.08631, 2019 | 2 | 2019 |
| E-TRGAN: A Novel Transformer Generative Adversarial Network for High-Density Surface Electromyography Signal Reconstruction Y Zhao, S Jing, H Wu, H Li, M Todoh IEEE Transactions on Instrumentation and Measurement, 2024 | 1 | 2024 |
| Diffusion model predicts the geometry of actin cytoskeleton from cell morphology H Li, S Liu, S Deguchi, D Matsunaga PLOS Computational Biology 20 (8), e1012312, 2024 | 1 | 2024 |
| Knowledge “installed” diffusion model predicts the geometry of actin cytoskeleton from cell morphology H Li, S Liu, S Deguchi, D Matsunaga bioRxiv, 2023.01. 12.523863, 2023 | 1 | 2023 |
| 深層学習による細胞発生力の評価 李泓翰， 松永大樹， 松井翼， 福島修一郎， 出口真次 バイオフロンティア講演会講演論文集 2019.30, 2A22, 2019 | 1 | 2019 |
| SyniEMG: An open-source platform for synthesizing intramuscular electromyography signals from kinematic inputs J Mao, H Li, J Yu, H Wu, MB López, Y Zhao Biomedical Signal Processing and Control 102, 107191, 2025 | | 2025 |
| HD-sEMG-CORE: An Open-Source Hybrid Network Algorithm for Efficient Compression and Accurate Restoration of High-Density Surface Electromyography Signals Y Zhao, Z Liu, J Yu, S Jing, H Li, MB López IEEE Sensors Journal, 2024 | | 2024 |
| NTPGR: A Lightweight and Efficient Gesture Recognizer for Traffic Police Commands Using Spatiotemporal Feature Fusion J Xiao, H Li, J Zhao | | 2024 |
| Evaluation of video-based rPPG in challenging environments: Artifact mitigation and network resilience N Nguyen, L Nguyen, H Li, MB López, CÁ Casado Computers in Biology and Medicine 179, 108873, 2024 | | 2024 |
| 細胞発生力顕微鏡: 画像から細胞の力学を予測する 出口真次， 李泓翰， 松永大樹， 松井翼 生物物理 62 (4), 246-249, 2022 | | 2022 |
| 細胞収縮力アッセイ: 工学と生物学の接点 出口真次， 李泓翰， 松井翼， 松永大樹， 青崎宏樹 生体医工学, 544-545, 2020 | | 2020 |
| CNN-based cellular contractile force evaluation algorithm H Li, D Matsunaga, TS Matsui, S Deguchi 2019 International Symposium on Micro-NanoMechatronics and Human Science …, 2019 | | 2019 |
| 細胞が発生する力のアッセイ 出口真次， 松井翼， 李泓翰， 福島修一郎， 松永大樹 年次大会 2019, J02201, 2019 | | 2019 |
| CNN に基づく細胞内収縮力評価アルゴリズム 李泓翰， 松永大樹， 松井翼， 出口真次 バイオエンジニアリング講演会講演論文集 2019.32, 2A12, 2019 | | 2019 |
| Evaluation of cellular contractile force using machine learning L Honghan, D Matsunaga, TS Matsui, S Fukushima, S Deguchi システム制御情報学会研究発表講演会講演論文集 63, 605-607, 2019 | | 2019 |
| Machine learning based cellular contractile force detection: a new approach to predict cell mechanics by images H Li, D Matsunaga, TS Matsui, H Aosaki, K Inoue, A Doostmohammadi, ... | | |