Institute of High Performance Computing

Federated machine learning in healthcare: A systematic review on clinical applications and technical architecture

Zhen Ling Teo, Liyuan Jin, Nan Liu et al.

2024 · 154 Zit.

A review of uncertainty estimation and its application in medical imaging

Ke Zou, Zhihao Chen, Xuedong Yuan et al.

2023 · 123 Zit.

Development and testing of a multi-lingual Natural Language Processing-based deep learning system in 10 languages for COVID-19 pandemic crisis: A multi-center study

Lily Wei Yun Yang, Wei Yan Ng, Xiaofeng Lei et al.

2023 · 36 Zit.

Deep learning-based natural language processing in ophthalmology: applications, challenges and future directions

Lily Wei Yun Yang, Wei Yan Ng, Li Lian Foo et al.

2021 · 27 Zit.

Explainable artificial intelligence in ophthalmology

Ting Fang Tan, Peilun Dai, Xiaoman Zhang et al.

2023 · 16 Zit.

Diagnostic Performance of a Deep Learning Model Deployed at a National COVID-19 Screening Facility for Detection of Pneumonia on Frontal Chest Radiographs

Jordan Sim, Yong Han Ting, Yuan Tang et al.

2022 · 13 Zit.

Clinical domain knowledge-derived template improves post hoc AI explanations in pneumothorax classification

Han Yuan, Chuan Hong, Pengtao Jiang et al.

2024 · 11 Zit.

Interpretation of artificial intelligence studies for the ophthalmologist

Tien‐En Tan, Xinxing Xu, Zhaoran Wang et al.

2020 · 7 Zit.

Towards fair decentralized benchmarking of healthcare AI algorithms with the Federated Tumor Segmentation (FeTS) challenge

Maximilian Zenk, Ujjwal Baid, Sarthak Pati et al.

2025 · 7 Zit.

Artificial intelligence innovation in healthcare: Relevance of reporting guidelines for clinical translation from bench to bedside

Zhen Ling Teo, Ann Kerwen Kwee, John C. W. Lim et al.

2023 · 7 Zit.

Toward the Transparent Use of Generative Artificial Intelligence in Academic Articles

Yu Wang, Liangbin Zhao

2024 · 5 Zit.

Deep Neural Network Augments Performance of Junior Residents in Diagnosing COVID-19 Pneumonia on Chest Radiographs

Yangqin Feng, Jordan Sim, Xinxing Xu et al.

2023 · 4 Zit.

ACT-Net: Anchor-Context Action Detection in Surgery Videos

Luoying Hao, Yan Hu, Wenjun Lin et al.

2023 · 3 Zit.

A New Perspective to Boost Performance Fairness For Medical Federated Learning

Yunlu Yan, Lei Zhu, Yuexiang Li et al.

2024 · 3 Zit.

Position Paper: Artificial Intelligence in Medical Image Analysis: Advances, Clinical Translation, and Emerging Frontiers

A. S. Panayides, H. Chen, N. D. Filipovic et al.

2025 · 2 Zit.