Author

Azoia NG

Stanford University - Cited by 2,33,110 - Machine Learning - Deep Learning - AI

Biography

Azoia NG  is affiliated to Center of Biological Engineering. He is a recipient of many awards and grants for his valuable contributions and discoveries in major area of subject research. His international experience includes various programs, contributions and participation in different countries for diverse fields of study. His research interests reflect in his wide range of publications in various national and international journals.
Title
Cited by
Year
Tackling climate change with machine learning
D Rolnick, PL Donti, LH Kaack, K Kochanski, A Lacoste, K Sankaran, ...ACM Computing Surveys (CSUR) 55 (2), 1-96, 2022202
625
2022
Moco pretraining improves representation and transferability of chest x-ray models
H Sowrirajan, J Yang, AY Ng, P RajpurkarMedical Imaging with Deep Learning, 728-744, 2021202
125
2021
CheXtransfer: performance and parameter efficiency of ImageNet models for chest X-Ray interpretation
A Ke, W Ellsworth, O Banerjee, AY Ng, P RajpurkarProceedings of the conference on health, inference, and learning, 116-124, 2021202
87
2021
Medaug: Contrastive learning leveraging patient metadata improves representations for chest x-ray interpretation
YNT Vu, R Wang, N Balachandar, C Liu, AY Ng, P RajpurkarMachine Learning for Healthcare Conference, 755-769, 2021202
49
2021
Radgraph: Extracting clinical entities and relations from radiology reports
S Jain, A Agrawal, A Saporta, SQH Truong, DN Duong, T Bui, P Chambon, ...arXiv preprint arXiv:2106.143, 2021202
46
2021
Benchmarking saliency methods for chest X-ray interpretation
A Saporta, X Gui, A Agrawal, A Pareek, SQH Truong, CDT Nguyen, ...Nature Machine Intelligence 4 (10), 867-878, 2022202
42
2022
RGS12 inhibits the progression and metastasis of multiple myeloma by driving M1 macrophage polarization and activation in the bone marrow microenvironment
G Yuan, Y Huang, S Yang, A Ng, S YangCancer Communications (1), 60, 2022202
42
2022
Dataperf: Benchmarks for data-centric ai development
M Mazumder, C Banbury, X Yao, B Karlaš, WG Rojas, S Diamos, ...arXiv preprint arXiv:2207.10062, 2022202
39
2022
Automated coronary calcium scoring using deep learning with multicenter external validation
D Eng, C Chute, N Khandwala, P Rajpurkar, J Long, S Shleifer, ...NPJ digital medicine 4 (1), 88, 2021202
38
2021
Expert-level detection of pathologies from unannotated chest X-ray images via self-supervised learning
E Tiu, E Talius, P Patel, CP Langlotz, AY Ng, P RajpurkarNature Biomedical Engineering 6 (12), 1399-1406, 2022202
36
2022
Gap-filling eddy covariance methane fluxes: Comparison of machine learning model predictions and uncertainties at FLUXNET-CH4 wetlands
J Irvin, S Zhou, G McNicol, F Lu, V Liu, E Fluet-Chouinard, Z Ouyang, ...Agricultural and forest meteorology 8, 108528, 2021202
30
2021
Retrieval-based chest x-ray report generation using a pre-trained contrastive language-image model
M Endo, R Krishnan, V Krishna, AY Ng, P RajpurkarMachine Learning for Health, 209-219, 2021202
27
2021
3KG: Contrastive learning of 12-lead electrocardiograms using physiologically-inspired augmentations
B Gopal, R Han, G Raghupathi, A Ng, G Tison, P RajpurkarMachine Learning for Health, 156-167, 202
21
2021
Unbiggen ai
A NgIEEE Spectrum 9, 2022202
16
2022
VisualCheXbert: addressing the discrepancy between radiology report labels and image labels
S Jain, A Smit, SQH Truong, CDT Nguyen, MT Huynh, M Jain, VA Young, ...Proceedings of the Conference on Health, Inference, and Learning, 105-1, 2021202
15
2021
Development and validation of an artificial intelligence system to optimize clinician review of patient records
EA Chi, G Chi, CT Tsui, Y Jiang, K Jarr, CV Kulkarni, M Zhang, J Long, ...JAMA Network Open 4 (7), e2117391-e2117391, 2021202
15
2021
Contrastive learning of heart and lung sounds for label-efficient diagnosis
PN Soni, S Shi, PR Sriram, AY Ng, P RajpurkarPatterns 3 (1), 2022202
14
2022
DLBCL-Morph: Morphological features computed using deep learning for an annotated digital DLBCL image set
D Vrabac, A Smit, R Rojansky, Y Natkunam, RH Advani, AY Ng, ...Scientific Data 8 (1), 135, 2021202
12
2021
CheXternal: Generalization of deep learning models for chest X-ray interpretation to photos of chest X-rays and external clinical settings
P Rajpurkar, A Joshi, A Pareek, AY Ng, MP LungrenProceedings of the Conference on Health, Inference, and Learning, 125-132, 2021202
11
2021
Nasopharyngeal metabolomics and machine learning approach for the diagnosis of influenza
CA Hogan, P Rajpurkar, H Sowrirajan, NA Phillips, AT Le, M Wu, ...EBioMedicine 71, 2021202
11
2021

Referred From: https://scholar.google.com/citations?user=mG4imMEAAAAJ&hl=en

Cited by
Citations 233110
h-index 141
i10-index 331
Open Access Journals