Mengling Feng

Publication Activity (10 Years)

Years Active: 2014-2023
Publications (10 Years): 11

Top Topics

Convolutional Neural Network

Top Venues

Radiology. Artificial intelligence

Health data science

JMIR medical informatics

This page only lists publications with an associated author ORCID identifier.

Publications

Kideog Bae, Young Seok Jeon, Yul Hwangbo, Chong Woo Yoo, Nayoung Han, Mengling Feng
Data-Efficient Computational Pathology Platform for Faster and Cheaper Breast Cancer Subtype Identifications: Development of a Deep Learning Model. JMIR cancer 9 (2023)
Kideog Bae, Young Seok Jeon, Yul Hwangbo, Chong Woo Yoo, Nayoung Han, Mengling Feng
Data-Efficient Computational Pathology Platform for Faster and Cheaper Breast Cancer Subtype Identifications: Development of a Deep Learning Model. JMIR cancer 9 (2023)
Mukkesh Kumar, Li Ting Ang, Cindy Ho, Shu E Soh, Kok Hian Tan, Jerry Kok Yen Chan, Keith M Godfrey, Shiao-Yng Chan, Yap-Seng Chong, Johan Gunnar Eriksson, Mengling Feng, Neerja Karnani
Machine Learning-Derived Prenatal Predictive Risk Model to Guide Intervention and Prevent the Progression of Gestational Diabetes Mellitus to Type 2 Diabetes: Prediction Model Development Study. JMIR diabetes 7 (3) (2022)
Melissa Min-Szu Yao, Hao Du, Mikael Hartman, Ying Chin Lin, Mengling Feng
End-to-End Calcification Distribution Pattern Recognition for Mammograms: An Interpretable Approach with GNN. Diagnostics (Basel, Switzerland) 12 (6) (2022)
Mukkesh Kumar, Li Ting Ang, Hang Png, Maisie Ng, Karen Mei-Ling Tan, See Ling Loy, Kok Hian Tan, Jerry Kok Yen Chan, Keith M Godfrey, Shiao-Yng Chan, Yap Seng Chong, Johan G Eriksson, Mengling Feng, Neerja Karnani
Automated Machine Learning (AutoML)-Derived Preconception Predictive Risk Model to Guide Early Intervention for Gestational Diabetes Mellitus. International journal of environmental research and public health 19 (11) (2022)
Hao Du, Ziyuan Pan, Kee-Yuan Ngiam, Fei Wang, Ping Shum, Mengling Feng
Self-Correcting Recurrent Neural Network for Acute Kidney Injury Prediction in Critical Care. Health data science 2021 (2021)
Sandra M Y Tan, Yuan Zhang, Ying Chen, Kay Choong See, Mengling Feng
Association of fluid balance with mortality in sepsis is modified by admission hemoglobin levels: A large database study. PloS one 16 (6) (2021)
Hao Du, Ziyuan Pan, Kee-Yuan Ngiam, Fei Wang, Ping Shum, Mengling Feng
Self-Correcting Recurrent Neural Network for Acute Kidney Injury Prediction in Critical Care. Health data science 2021 (2021)
Yee Liang Thian, Dianwen Ng, James Thomas Patrick Decourcy Hallinan, Pooja Jagmohan, David Soon Yiew Sia, Cher Heng Tan, Yong Han Ting, Pin Lin Kei, Geoiphy George Pulickal, Tze Yang Vincent Tiong, Swee Tian Quek, Mengling Feng
Deep Learning Systems for Pneumothorax Detection on Chest Radiographs: A Multicenter External Validation Study. Radiology. Artificial intelligence 3 (4) (2021)
Yeshe Manuel Kway, Kashthuri Thirumurugan, Mya-Thway Tint, Navin Michael, Lynette Pei-Chi Shek, Fabian Kok Peng Yap, Kok Hian Tan, Keith M Godfrey, Yap Seng Chong, Marielle Valerie Fortier, Ute C Marx, Johan G Eriksson, Yung Seng Lee, Sambasivam Sendhil Velan, Mengling Feng, Suresh Anand Sadananthan
Automated Segmentation of Visceral, Deep Subcutaneous, and Superficial Subcutaneous Adipose Tissue Volumes in MRI of Neonates and Young Children. Radiology. Artificial intelligence 3 (5) (2021)
Siqi Liu, Kay Choong See, Kee-Yuan Ngiam, Leo Anthony Celi, Xingzhi Sun, Mengling Feng
Reinforcement Learning for Clinical Decision Support in Critical Care: Comprehensive Review. Journal of medical Internet research 22 (7) (2020)
Omar Badawi, Thomas Brennan, Leo Anthony Celi, Mengling Feng, Marzyeh Ghassemi, Andrea Ippolito, Alistair Ew Johnson, Roger G Mark, Louis Mayaud, George Moody, Christopher Moses, Tristan Naumann, Vipan Nikore, Marco Af Pimentel, Tom J Pollard, Mauro Santos, David J Stone, Andrew J Zimolzak, null null
Metadata correction: making big data useful for health care: a summary of the inaugural mit critical data conference. JMIR medical informatics 3 (1) (2015)
Omar Badawi, Thomas Brennan, Leo Anthony Celi, Mengling Feng, Marzyeh Ghassemi, Andrea Ippolito, Alistair Ew Johnson, Roger G Mark, Louis Mayaud, George Moody, Christopher Moses, Tristan Naumann, Marco Af Pimentel, Tom J Pollard, Mauro Santos, David J Stone, Andrew J Zimolzak, null null
Making big data useful for health care: a summary of the inaugural mit critical data conference. JMIR medical informatics 2 (2) (2014)