李良知

リリョウチ | LI LIANGZHI

所属機関・部署：
職名：特任助教
ホームページURL (1件)： https://www.liangzhili.com
競争的資金等の研究課題 (3件)：

2022 - 2026 眼底画像のみから循環器疾患リスクプロファイリングを行う「新・眼底健診」の提案
2021 - 2023 Explainable Artificial Intelligence for Medical Applications
2020 - 2022 Removing the Burden of Data Labeling: Automatic Surgical Video Understanding with Unsupervised Learning

論文 (23件)：

Bowen Wang, Jiaxin Zhang, Ran Zhang, Yunqin Li, Liangzhi Li, Yuta Nakashima. Improving facade parsing with vision transformers and line integration. Advanced Engineering Informatics. 2024. 60. 102463-102463
Bowen Wang, Liangzhi Li, Yuta Nakashima, Ryo Kawasaki, Hajime Nagahara. Real-time estimation of the remaining surgery duration for cataract surgery using deep convolutional neural networks and long short-term memory. BMC Medical Informatics and Decision Making. 2023. 23. 1
Liangzhi Li, Manisha Verma, Bowen Wang, Yuta Nakashima, Hajime Nagahara, Ryo Kawasaki. Automated grading system of retinal arterio-venous crossing patterns: A deep learning approach replicating ophthalmologist’s diagnostic process of arteriolosclerosis. PLOS Digital Health. 2023. 2. 1
Hong Tang, Xiangzheng Ling, Liangzhi Li, Liyan Xiong, Yu Yao, Xiaohui Huang. One-shot pruning of gated recurrent unit neural network by sensitivity for time-series prediction. Neurocomputing. 2022. 512. 15-24
Bowen Wang, Liangzhi Li, Manisha Verma, Yuta Nakashima, Ryo Kawasaki, Hajime Nagahara. Match them up: visually explainable few-shot image classification. Applied Intelligence. 2022

MISC (2件)：

Ryo Kawasaki, Yiming Qian, Liangzhi Li, Kohji Nishida, Yuta Nakashima, Hajime Nagahara. Cardiovascular Disease Risk Prediction using Retinal Images via Explainable-AI based models with Traditional CVD risk factor estimation. INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE. 2022. 63. 7
Kawasaki, Ryo, Li, Liangzhi, Nakashima, Yuta, Nagahara, Hajime, Ohkubo, Takayoshi, Nishida, Kohji. A fully automated grading system for the retinal arteriovenous crossing signs using deep neural network. Investigative Ophthalmology & Visual Science. 2020. 61. 7. 1930-1930

受賞 (5件)：

2019/03 - 室蘭工業大学蘭岳賞
2018/12 - IEEE札幌支部若手研究者年間優秀論文賞
2018/10 - 佐藤矩康博士記念国際活動奨学賞
2017/12 - IEEE Communications Letters Exemplary Reviewer
2017/06 - International Conference on Frontier of Computer Science and Technology (FCST) 最優秀論文賞 Everything is Image: CNN-based Short-term Electrical Load Forecasting for Smart Grid

所属学会 (1件)：

IEEE米国電気電子学会会員

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李 良知