Guolin Li
Guolin Li has a total of 13 co-authors. Here are the top co-authors by number of shared publications:
- Chao Zhang
Department of Electronic Engineering, Tsinghua University, Beijing, China
1 shared publication - Deling Li
Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China
1 shared publication Jiaoting Chen
Hematology, The Sixth Affiliated Hospital. Sun Yat Sen University
1 shared publication- Jiayin Yao
Department of Gastroenterology, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
1 shared publication Liangpeng Chen
Capital Medical University,Beijing Tiantan Hospital,Department of Neurosurgery,Beijing,China
1 shared publication- Milin Zhang
Department of Electronic Engineering, Tsinghua University, Beijing, China
1 shared publication
Latest Publications
- 19 October 2023
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- p. 1-5
A Novel Approach of Decoding Facial Nerve Signals for Predicting Rabbit Whisker Movements
This work proposed a decoding algorithm of the bioelectrical signal acquired from a head-fixed rabbit subject’s buccal nerves related to the corresponding whisker movements. The nerve-whisker matching algorithm is fulfilled by the signal pre-processing and the neural networks consisting of a Long Short-Term Memory Recurrent Neural Network (LSTM) layer and a fully-connected layer. Concordance Correlation Coefficient Loss is applied for training to capture the intricate relationships between nerve signals and corresponding whisker movements. The algorithm is also able to decode both amplitude and phase information of the recorded signal. A decoding accuracy of 80% is achieved according to in-vivo experimental results.
- 19 October 2023
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- p. 1-5
A Novel Approach of Decoding Facial Nerve Signals for Predicting Rabbit Whisker Movements
This work proposed a decoding algorithm of the bioelectrical signal acquired from a head-fixed rabbit subject’s buccal nerves related to the corresponding whisker movements. The nerve-whisker matching algorithm is fulfilled by the signal pre-processing and the neural networks consisting of a Long Short-Term Memory Recurrent Neural Network (LSTM) layer and a fully-connected layer. Concordance Correlation Coefficient Loss is applied for training to capture the intricate relationships between nerve signals and corresponding whisker movements. The algorithm is also able to decode both amplitude and phase information of the recorded signal. A decoding accuracy of 80% is achieved according to in-vivo experimental results.
- Open Access
- 1 January 2023
- Published by Sociedad Espanola de Patologia Digestiva (SEPD) in Revista Española de Enfermedades Digestivas
- Vol. 116 (3) , 165-166
Extensive involvement of indolent T-cell lymphoma in a patient with ulcerative colitis: a case report
Indolent T-cell lymphoma is a rare disease. Here we presented a 53-year-old male patient initially diagnosed as ulcerative colitis in 2000 that finally developed into extensive indolent T-cell lymphoma in 2022. We also described the differences between indolent T-cell lymphoma and inflammatory bowel disease, and the possible disease progression into lymphoma after biological therapy.
- 1 January 2023
- Published by Sociedad Espanola de Patologia Digestiva (SEPD) in Revista Española de Enfermedades Digestivas
- Vol. 116 (3) , 165-166
Open AccessExtensive involvement of indolent T-cell lymphoma in a patient with ulcerative colitis: a case report
Indolent T-cell lymphoma is a rare disease. Here we presented a 53-year-old male patient initially diagnosed as ulcerative colitis in 2000 that finally developed into extensive indolent T-cell lymphoma in 2022. We also described the differences between indolent T-cell lymphoma and inflammatory bowel disease, and the possible disease progression into lymphoma after biological therapy.