| Quality level identification of West Lake Longjing green tea using electronic nose X Lu, J Wang, G Lu, B Lin, M Chang, W He Sensors and Actuators B: Chemical 301, 127056, 2019 | 45 | 2019 |
| Development, validation and comparison of artificial neural network models and logistic regression models predicting survival of unresectable pancreatic cancer Z Tong, Y Liu, H Ma, J Zhang, B Lin, X Bao, X Xu, C Gu, Y Zheng, L Liu, ... Frontiers in Bioengineering and Biotechnology 8, 196, 2020 | 35 | 2020 |
| A machine learning model for the prediction of down syndrome in second trimester antenatal screening F He, B Lin, K Mou, L Jin, J Liu Clinica Chimica Acta 521, 206-211, 2021 | 24 | 2021 |
| Bradykinesia recognition in Parkinson’s disease via single RGB video B Lin, W Luo, Z Luo, B Wang, S Deng, J Yin, M Zhou ACM Transactions on Knowledge Discovery from Data (TKDD) 14 (2), 1-19, 2020 | 21 | 2020 |
| A multi-scale activity transition network for data translation in EEG signals decoding B Lin, S Deng, H Gao, J Yin IEEE/ACM Transactions on Computational Biology and Bioinformatics 18 (5 …, 2020 | 18 | 2020 |
| Detection of hypomimia in patients with Parkinson’s disease via smile videos G Su, B Lin, J Yin, W Luo, R Xu, J Xu, K Dong Annals of Translational Medicine 9 (16), 2021 | 14 | 2021 |
| Deep learning for automatically predicting early haematoma expansion in Chinese patients J Zhong, Y Jin, Z Song, B Lin, X Lu, F Chen, L Tong Stroke and vascular neurology 6 (4), 2021 | 13 | 2021 |
| Hypomimia Recognition in Parkinson’s Disease With Semantic Features G Su, B Lin, W Luo, J Yin, S Deng, H Gao, R Xu ACM Transactions on Multimedia Computing, Communications, and Applications …, 2021 | 9 | 2021 |
| Integration of machine learning techniques as auxiliary diagnosis of inherited metabolic disorders: promising experience with newborn screening data B Lin, J Yin, Q Shu, S Deng, Y Li, P Jiang, R Yang, C Pu Collaborative Computing: Networking, Applications and Worksharing: 15th EAI …, 2019 | 5 | 2019 |
| Focannot: Patch-wise active learning for intensive cell image segmentation B Lin, S Deng, J Yin, J Zhang, Y Li, H Gao Collaborative Computing: Networking, Applications and Worksharing: 16th EAI …, 2021 | 4 | 2021 |
| SkinGEN: An explainable dermatology diagnosis-to-generation framework with interactive vision-language models B Lin, Y Xu, X Bao, Z Zhao, Z Zhang, Z Wang, J Zhang, S Deng, J Yin arXiv preprint arXiv:2404.14755, 2024 | 1 | 2024 |
| Development of a whole-slide-level segmentation-based dMMR/pMMR deep learning detector for colorectal cancer Z Tong, Y Wang, X Bao, Y Deng, B Lin, G Su, K Ye, X Dai, H Zhang, L Liu, ... Iscience 26 (12), 2023 | | 2023 |
| FedCCE: A class-level contribution explainable federated learning based on comparable prototypes collaboration for multi-site medical image classification B Lin, J Wang, Y Dou, Y Zhang, W Yue, G Yu, J Yin 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2023 | | 2023 |
| Probability Analysis to Improve the Confidence in Profiling Accuracy Y Wen, G Cheng, B Lin, J Yin Mathematical Problems in Engineering 2021, 1-11, 2021 | | 2021 |
