Mengling 'Mornin' Feng

Mengling 'Mornin' Feng

National University of Singapore

H-index: 28

Asia-Singapore

About Mengling 'Mornin' Feng

Mengling 'Mornin' Feng, With an exceptional h-index of 28 and a recent h-index of 25 (since 2020), a distinguished researcher at National University of Singapore, specializes in the field of Machine Learning, Healthcare Analytics.

His recent articles reflect a diverse array of research interests and contributions to the field:

AIC-UNet: Anatomy-informed Cascaded UNet for Robust Multi-Organ Segmentation

Avoiding Feature Suppression in Contrastive Learning: Learning What Has Not Been Learned Before

A machine-learning exploration of the exposome from preconception in early childhood atopic eczema, rhinitis and wheeze development

The SingHealth Perioperative and Anesthesia Subject Area Registry (PASAR), a large-scale perioperative data mart and registry

Association of body temperature and mortality in critically ill patients: an observational study using two large databases

Predicting intubation for intensive care units patients: A deep learning approach to improve patient management

Medical Intervention Duration Estimation Using Language-enhanced Transformer Encoder with Medical Prompts

Data-Efficient Computational Pathology Platform for Faster and Cheaper Breast Cancer Subtype Identifications: Development of a Deep Learning Model

Mengling 'Mornin' Feng Information

University

Position

___

Citations(all)

9870

Citations(since 2020)

8380

Cited By

4130

hIndex(all)

28

hIndex(since 2020)

25

i10Index(all)

65

i10Index(since 2020)

57

Email

University Profile Page

National University of Singapore

Google Scholar

View Google Scholar Profile

Mengling 'Mornin' Feng Skills & Research Interests

Machine Learning

Healthcare Analytics

Top articles of Mengling 'Mornin' Feng

Title

Journal

Author(s)

Publication Date

AIC-UNet: Anatomy-informed Cascaded UNet for Robust Multi-Organ Segmentation

arXiv preprint arXiv:2403.18878

Young Seok Jeon

Hongfei Yang

Huazhu Fu

Mengling Feng

2024/3/27

Avoiding Feature Suppression in Contrastive Learning: Learning What Has Not Been Learned Before

arXiv preprint arXiv:2402.11816

Jihai Zhang

Xiang Lan

Xiaoye Qu

Yu Cheng

Mengling Feng

...

2024/2/19

A machine-learning exploration of the exposome from preconception in early childhood atopic eczema, rhinitis and wheeze development

Environmental Research

Yizhi Dong

Hui Xing Lau

Noor Hidayatul Aini Suaini

Michelle Zhi Ling Kee

Delicia Shu Qin Ooi

...

2024/2/19

The SingHealth Perioperative and Anesthesia Subject Area Registry (PASAR), a large-scale perioperative data mart and registry

Korean Journal of Anesthesiology

Hairil Rizal Abdullah

Daniel Yan Zheng Lim

Yuhe Ke

Nur Nasyitah Mohamed Salim

Xiang Lan

...

2024/2

Association of body temperature and mortality in critically ill patients: an observational study using two large databases

European Journal of Medical Research

Daniel J Tan

Jiayang Chen

Yirui Zhou

Jaryl Shen Quan Ong

Richmond Jing Xuan Sin

...

2024/1/6

Predicting intubation for intensive care units patients: A deep learning approach to improve patient management

International Journal of Medical Informatics

Ruixi Li

Zenglin Xu

Jing Xu

Xinglin Pan

Hong Wu

...

2024/6/1

Medical Intervention Duration Estimation Using Language-enhanced Transformer Encoder with Medical Prompts

arXiv preprint arXiv:2303.17408

Yucheng Ruan

Xiang Lan

Daniel J Tan

Hairil Rizal Abdullah

Mengling Feng

2023/3/30

Data-Efficient Computational Pathology Platform for Faster and Cheaper Breast Cancer Subtype Identifications: Development of a Deep Learning Model

JMIR cancer

Kideog Bae

Young Seok Jeon

Yul Hwangbo

Chong Woo Yoo

Nayoung Han

...

2023/9/5

A fully convolutional neural network for comprehensive compartmentalization of abdominal adipose tissue compartments in MRI

Computers in Biology and Medicine

Yeshe M Kway

Kashthuri Thirumurugan

Navin Michael

Kok Hian Tan

Keith M Godfrey

...

2023/12/1

Building a machine learning-based ambulance dispatch triage model for emergency medical services

Health Data Science

Han Wang

Qin Xiang Ng

Shalini Arulanandam

Colin Tan

Marcus EH Ong

...

2023/3/15

Artificial intelligence and machine learning in prehospital emergency care: A scoping review

Marcel Lucas Chee

Mark Leonard Chee

Haotian Huang

Katelyn Mazzochi

Kieran Taylor

...

2023/7/17

The application of artificial intelligence in the management of sepsis

Iranian Journal of Blood and Cancer

Sabahat Haghi

Reza Arjmand

Omid Safari

2023/8/30

Automatic Calcification Morphology and Distribution Classification for Breast Mammograms with Multi-task Graph Convolutional Neural Network

IEEE Journal of Biomedical and Health Informatics

Hao Du

Melissa Min-Szu Yao

Siqi Liu

Liangyu Chen

Wing P Chan

...

2023/2/27

Demystifying Complex Treatment Recommendations: A Hierarchical Cooperative Multi-Agent RL Approach

Dilruk Perera

Siqi Liu

Mengling Feng

2023/6/18

Towards Enhancing Time Series Contrastive Learning: A Dynamic Bad Pair Mining Approach

Xiang Lan

Hanshu Yan

Shenda Hong

Mengling Feng

2023/10/13

Towards better time series contrastive learning: A dynamic bad pair mining approach

arXiv preprint arXiv:2302.03357

Xiang Lan

Hanshu Yan

Shenda Hong

Mengling Feng

2023/2/7

Introducing value‐based healthcare perspectives into hospital performance assessment: A scoping review

Wenbo He

Meixuan Li

Liujiao Cao

Rui Liu

Jiuhong You

...

2023/6

A survey of large language models for healthcare: from data, technology, and applications to accountability and ethics

arXiv preprint arXiv:2310.05694

Kai He

Rui Mao

Qika Lin

Yucheng Ruan

Xiang Lan

...

2023/10/9

Differential Diagnosis of DCIS and Fibroadenoma Based on Ultrasound Images: a Difference-Based Self-Supervised Approach

Interdisciplinary Sciences: Computational Life Sciences

Jin Yin

Jia-Jun Qiu

Jing-Yan Liu

Yi-Yue Li

Qi-Cheng Lao

...

2023/6

Illness severity assessment of older adults in critical illness using machine learning (ELDER-ICU): an international multicentre study with subgroup bias evaluation

The Lancet Digital Health

Xiaoli Liu

Pan Hu

Wesley Yeung

Zhongheng Zhang

Vanda Ho

...

2023/10/1

See List of Professors in Mengling 'Mornin' Feng University(National University of Singapore)

Co-Authors

H-index: 76
Cuntai Guan

Cuntai Guan

Nanyang Technological University

H-index: 75
Peter Szolovits

Peter Szolovits

Massachusetts Institute of Technology

H-index: 66
Limsoon Wong 黄任祥

Limsoon Wong 黄任祥

National University of Singapore

H-index: 61
David A. Clifton

David A. Clifton

University of Oxford

H-index: 55
Jinyan Li

Jinyan Li

University of Technology

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