研究者
J-GLOBAL ID:202001010582322262
更新日: 2024年03月30日
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
もっと見る
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):
前のページに戻る