Articles with public access mandates - Narges RazavianLearn more
Not available anywhere: 1
Artificial intelligence and deep learning to map immune cell types in inflamed human tissue
K Van Buren, Y Li, F Zhong, Y Ding, A Puranik, CA Loomis, N Razavian, ...
Journal of Immunological Methods 505, 113233, 2022
Mandates: US National Institutes of Health
Available somewhere: 27
Classification and mutation prediction from non–small cell lung cancer histopathology images using deep learning
N Coudray, PS Ocampo, T Sakellaropoulos, N Narula, M Snuderl, ...
Nature medicine 24 (10), 1559-1567, 2018
Mandates: US National Institutes of Health
Early-learning regularization prevents memorization of noisy labels
S Liu, J Niles-Weed, N Razavian, C Fernandez-Granda
arXiv preprint arXiv:2007.00151, 2020
Mandates: US National Science Foundation
Association of psychiatric disorders with mortality among patients with COVID-19
K Nemani, C Li, M Olfson, EM Blessing, N Razavian, J Chen, E Petkova, ...
JAMA psychiatry 78 (4), 380-386, 2021
Mandates: US National Institutes of Health
An artificial intelligence system for predicting the deterioration of COVID-19 patients in the emergency department
FE Shamout, Y Shen, N Wu, A Kaku, J Park, T Makino, S Jastrzębski, ...
NPJ digital medicine 4 (1), 80, 2021
Mandates: US National Science Foundation, US National Institutes of Health
Predicting endometrial cancer subtypes and molecular features from histopathology images using multi-resolution deep learning models
R Hong, W Liu, D DeLair, N Razavian, D Fenyö
Cell Reports Medicine 2 (9), 2021
Mandates: US National Institutes of Health
Predicting childhood obesity using electronic health records and publicly available data
R Hammond, R Athanasiadou, S Curado, Y Aphinyanaphongs, C Abrams, ...
PloS one 14 (4), e0215571, 2019
Mandates: US National Institutes of Health
Generalizable deep learning model for early Alzheimer’s disease detection from structural MRIs
S Liu, AV Masurkar, H Rusinek, J Chen, B Zhang, W Zhu, ...
Scientific reports 12 (1), 17106, 2022
Mandates: US National Science Foundation, US Department of Defense, US National …
On the design of convolutional neural networks for automatic detection of Alzheimer’s disease
S Liu, C Yadav, C Fernandez-Granda, N Razavian
Machine Learning for Health Workshop, 184-201, 2020
Mandates: US Department of Defense, US National Institutes of Health
A validated, real-time prediction model for favorable outcomes in hospitalized COVID-19 patients
N Razavian, VJ Major, M Sudarshan, J Burk-Rafel, P Stella, H Randhawa, ...
NPJ digital medicine 3 (1), 130, 2020
Mandates: US National Science Foundation, US National Institutes of Health
Detecting social and behavioral determinants of health with structured and free-text clinical data
DJ Feller, OJB Don't Walk, J Zucker, MT Yin, P Gordon, N Elhadad
Applied clinical informatics 11 (01), 172-181, 2020
Mandates: US National Institutes of Health
A deep learning approach for rapid mutational screening in melanoma
RH Kim, S Nomikou, N Coudray, G Jour, Z Dawood, R Hong, E Esteva, ...
BioRxiv, 610311, 2019
Mandates: US National Institutes of Health
Intermediate layers matter in momentum contrastive self supervised learning
A Kaku, S Upadhya, N Razavian
Advances in Neural Information Processing Systems 34, 24063-24074, 2021
Mandates: US National Science Foundation
Deep learning and pathomics analyses reveal cell nuclei as important features for mutation prediction of BRAF-mutated melanomas
RH Kim, S Nomikou, N Coudray, G Jour, Z Dawood, R Hong, E Esteva, ...
Journal of Investigative Dermatology 142 (6), 1650-1658. e6, 2022
Mandates: US National Institutes of Health
Artificial intelligence explained for nonexperts
N Razavian, F Knoll, KJ Geras
Seminars in musculoskeletal radiology 24 (01), 003-011, 2020
Mandates: US National Institutes of Health
Multiple instance learning via iterative self-paced supervised contrastive learning
K Liu, W Zhu, Y Shen, S Liu, N Razavian, KJ Geras, C Fernandez-Granda
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
Mandates: US National Science Foundation, US National Institutes of Health, Gordon and …
Efficient pan-cancer whole-slide image classification and outlier detection using convolutional neural networks
S Bilaloglu, J Wu, E Fierro, RD Sanchez, PS Ocampo, N Razavian, ...
BioRxiv, 633123, 2019
Mandates: US National Institutes of Health
Learning generative models of molecular dynamics
NS Razavian, H Kamisetty, CJ Langmead
BMC genomics 13, 1-13, 2012
Mandates: US National Institutes of Health
Patient-specific explanations for predictions of clinical outcomes
M Tajgardoon, MJ Samayamuthu, L Calzoni, S Visweswaran
ACI open 3 (02), e88-e97, 2019
Mandates: US National Institutes of Health
On gaps of clinical diagnosis of dementia subtypes: A study of Alzheimer’s disease and Lewy body disease
H Wei, AV Masurkar, N Razavian
Frontiers in Aging Neuroscience 15, 1149036, 2023
Mandates: US National Institutes of Health
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