J Qiu, J Wu, H Wei, P Shi, M Zhang, Y Sun, L Li, H Liu, H Liu, S Hou, Y Zhao, X Shi, J Xian, X Qu, S Zhu, L Pan, X Chen, X Zhang, S Jiang, K Wang, C Yang, M Chen, S Fan, J Hu, A Lv, H Miao, L Guo, S Zhang, C Pei, X Fan, J Lei, T Wei, J Duan, C Liu, X Xia, S Xiong, J Li, K Lam, B Lo, YC Tham, TY Wong, N Wang, and W Yuan. “Development and Validation of a Multimodal Multitask Vision Foundation Model for Generalist Ophthalmic Artificial Intelligence.” In NEJM AI

Nazarian S, Lo FPW, Qiu J, Patel N, Lo B, Ayaru L., “Development and validation of machine learning models to predict need for haemostatic therapy in acute upper gastrointestinal bleeding”, In Therapeutic Advances in Gastrointestinal Endoscopy, 2024; 17. doi:10.1177/26317745241246899

Han J, Gu X, Yang GZ, Lo B., “Noise-Factorized Disentangled Representation Learning for Generalizable Motor Imagery EEG Classification,”  in IEEE Journal of Biomedical and Health Informatics, vol. 28, no. 2, pp. 765-776, Feb. 2024, doi: 10.1109/JBHI.2023.3337072.

Jianing Qiu, Lin Li, Jiankai Sun, Jiachuan Peng, Peilun Shi, Ruiyang Zhang, Yinzhao Dong, Kyle Lam, Frank P.-W. Lo, Bo Xiao, Wu Yuan, Dong Xu, and Benny Lo, “Large AI Models in Health Informatics: Applications, Challenges, and the Future”, in IEEE JBHI vol. 27, no. 12, pp. 6074-6087, Dec. 2023, doi: 10.1109/JBHI.2023.3316750.

Xiao Gu, Fani Deligianni, Jinpei Han, Xiangyu Liu, Wei Chen, Guang-Zhong Yang, and Benny Lo, “Beyond Supervised Learning for Pervasive Healthcare”, In Reviews in Biomedical Engineering, doi: 10.1109/RBME.2023.3296938.

Kyle Lam, Frank P.-W. Lo, Yujian An, Ara Darzi, James M. Kinross, Sanjay Purkayastha and Benny Lo, "Deep learning for instrument detection and assessment of operative skill in surgical videos," in IEEE Transactions on Medical Robotics and Bionics, 2022, vol. 4, no. 4, pp. 1068-1071, Nov. 2022, doi: 10.1109/TMRB.2022.3214377

Gu X, Guo Y, Li Z, Qiu J, Dou Q, Liu Y, Lo B, Yang G-Z, “Tackling Long-Tailed Category Distribution Under Domain Shifts”,  In European Conference on Computer Vision (ECCV), Tel-Aviv, 23 Oct 2022

Kyle Lam, Junhong Chen, Zeyu Wang, Fahad M. Iqbal, Ara Darzi, Benny Lo, Sanjay Purkayastha and James M. Kinross, "Machine Learning for Technical Skill Assessment in Surgery: A Systematic Review" npj Digit. Med. 5, 24 (2022). https://doi.org/10.1038/s41746-022-00566-0

Xiao Gu, Yao Guo, Guang-Zhong Yang and Benny Lo, "Cross-Domain Self-Supervised Complete Geometric Representation Learning for Real-Scanned Point Cloud Based Pathological Gait Analysis," in IEEE Journal of Biomedical and Health Informatics, vol. 26, no. 3, pp. 1034-1044, March 2022, doi: 10.1109/JBHI.2021.3107532.

Xiao Gu, Jianing Qiu, Yao Guo, Benny Lo and Guang-Zhong Yang, “TransAction: ICL-SJTU Submission to EPIC-Kitchens Action Anticipation Challenge 2021”, EPIC-KITCHENS-100- 2021 Challenges Report (“3rdPlace” at the Action Anticipation track in the 2021 EPIC-KITCHENS Challenges.) 

Jianing Qiu, Po Wen Lo, Xiao Gu, Yingnan Sun, Shuo Jiang, Benny Ping Lai Lo, "Indoor Future Person Localization from an Egocentric Wearable Camera", In Proceeding of 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Prague, Sept 27-Oct 1 2021

X. Gu, Y. Guo, F. Deligianni, B. Lo and G. -Z. Yang, "Cross-Subject and Cross-Modal Transfer for Generalized Abnormal Gait Pattern Recognition", in IEEE Transactions on Neural Networks and Learning Systems, vol. 32, no. 2, pp. 546-560, Feb. 2021, doi: 10.1109/TNNLS.2020.3009448.

B. Di Camillo, G. Nicosia, F. Buffa and B. Lo, "Guest Editorial Data Science in Smart Healthcare: Challenges and Opportunities," in IEEE Journal of Biomedical and Health Informatics, vol. 24, no. 11, pp. 3041-3043, Nov. 2020, doi: 10.1109/JBHI.2020.3028398.

Fangzhi Mu, Xiao Gu and Benny Lo, "Unsupervised Domain Adaptation for Position-Independent IMU Based Gait Analysis"  in the Proceeding of IEEE SENSORS 2020 Conference, October 25-28, 2020, Rotterdam, The Netherlands

Yingnan Sun, Po Wen Lo and Benny Lo, "A Deep Learning Approach on Gender and Age Recognition using a Single Inertial Sensor,"  in the Proceeding of the 16th IEEE International Conference on Wearable and Implantable Body Sensor Networks (BSN’19), UIC, Chicago USA, 19-22 May, 2019  

Md Rishad Ahmed, Yuan Zhang, Zhiquan Feng, Benny Lo, Omer T. Inan and Hongen Liao, "Neuroimaging and Machine Learning for Dementia Diagnosis: Recent Advancements and Future Prospects," in IEEE Reviews in Biomedical Engineering, doi: 10.1109/RBME.2018.2886237  

Y. Sun and B. Lo, "An Artificial Neural Network Framework for Gait Based Biometrics," in IEEE Journal of Biomedical and Health Informatics, doi: 10.1109/JBHI.2018.2860780 

Ravi D, Wong C, Deligianni F, Berthelot M, Andreu-Perez J, Lo B and Yang G,  "Deep Learning for Health Informatics," in IEEE Journal of Biomedical and Health Informatics, vol. 21, no. 1, pp. 4-21, Jan. 2017 

Ravi D, Wong C, Lo B and Yang G, "A deep learning approach to on-node sensor data analytics for mobile or wearable devices,"  in IEEE Journal of Biomedical and Health Informatics, vol. 21, no. 1, pp. 56-64, Jan. 2017 

M. Akay, G. Coatrieux, Y. Hao, D. Fotiadis, A. Laine, B. Lo, K. Nikit, N. N, J. Rodrigues and M. Wang, "Guest Editorial: MobiHealth 2014, IEEE HealthCom 2014 and IEEE BHI 2014," IEEE J-BHI vol. 20 (3) pp. 731-2, 2016

Daniele Ravi, Charence Wong, Benny Lo and Guang-Zhong Yang, "Deep Learning for Human Activity Recognition: A Resource Efficient Implementation on Low-Power Devices," in the IEEE Proceeding of BSN 2016, UCSF San Francisco, CA, USA Jun 14-17 2016, pp.71-76