Institute for Infocomm Research
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
Evaluation of Combined Artificial Intelligence and Radiologist Assessment to Interpret Screening Mammograms
Thomas Schaffter, Diana S.M. Buist, Christoph I. Lee et al.
2020 · 410 Zit.
Privacy preservation for federated learning in health care
Sarthak Pati, Sourav Kumar, A. Varma et al.
2024 · 134 Zit.
Federated Semi-Supervised Learning for Medical Image Segmentation via Pseudo-Label Denoising
Liang Qiu, Jierong Cheng, Huxin Gao et al.
2023 · 84 Zit.
Machine learning in medicine: what clinicians should know
Jordan Sim, Qi Wei Fong, Weimin Huang et al.
2021 · 82 Zit.
Artificial Intelligence and Radiology in Singapore: Championing a New Age of Augmented Imaging for Unsurpassed Patient Care
Charlene Liew, Pavitra Krishnaswamy, Lionel Tim‐Ee Cheng et al.
2019 · 18 Zit.
Harnessing artificial intelligence in radiology to augment population health
Jordan Sim, K. N. Bhanu Prakash, Wei Huang et al.
2023 · 17 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.
The effects of deep network topology on mortality prediction
Hao Du, Mohammad M. Ghassemi, Mengling Feng
2016 · 13 Zit.
Assessing Risk in Implementing New Artificial Intelligence Triage Tools—How Much Risk is Reasonable in an Already Risky World?
Alexa Nord-Bronzyk, Julian Savulescu, Angela Ballantyne et al.
2025 · 12 Zit.
Cohort profile: AI-driven national Platform for CCTA for clinicaL and industriaL applicatiOns (APOLLO)
Lohendran Baskaran, Shuang Leng, Utkarsh Dutta et al.
2024 · 10 Zit.
Towards More Efficient Data Valuation in Healthcare Federated Learning Using Ensembling
Sourav Kumar, A. Lakshminarayanan, Ken Chang et al.
2022 · 7 Zit.
A neuromuscular clinician’s primer on machine learning
Crystal Jing Jing Yeo, Savitha Ramasamy, Foh-Lik Leong et al.
2025 · 4 Zit.
Explaining Black-Box Language Models with Knowledge Probing Systems: A Post-hoc Explanation Perspective
Yunxiao Zhao, Xu Hao, Zhiqiang Wang et al.
2026 · 1 Zit.
Early prediction of clinical deterioration in admitted Asian cohort through supervised machine learning model
Aza Taha, Thanawin Trakoolwilaiwan, Wu Min et al.
2026 · 0 Zit.
Building Students' Industry Workplace Skills Using Artificial Intelligence
C. Lee, Ryan Fraser Kirwan
2025 · 0 Zit.