Narges Razavian
Narges Razavian
New York University Medical Center
Verified email at nyumc.org - Homepage
Title
Cited by
Cited by
Year
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
6062018
Population-level prediction of type 2 diabetes from claims data and analysis of risk factors
N Razavian, S Blecker, AM Schmidt, A Smith-McLallen, S Nigam, ...
Big Data 3 (4), 277-287, 2015
1382015
Multi-task prediction of disease onsets from longitudinal laboratory tests
N Razavian, J Marcus, D Sontag
Machine learning for healthcare conference, 73-100, 2016
1142016
Deep ehr: Chronic disease prediction using medical notes
J Liu, Z Zhang, N Razavian
Machine Learning for Healthcare Conference, 440-464, 2018
452018
Temporal convolutional neural networks for diagnosis from lab tests
N Razavian, D Sontag
arXiv preprint arXiv:1511.07938, 2015
422015
State of the art: machine learning applications in glioma imaging
E Lotan, R Jain, N Razavian, GM Fatterpekar, YW Lui
American Journal of Roentgenology 212 (1), 26-37, 2019
352019
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
212019
Document representation and quality of text: An analysis
M Keikha, NS Razavian, F Oroumchian, HS Razi
Survey of text mining II, 219-232, 2008
202008
Early detection of diabetes from health claims
R Krishnan, N Razavian, Y Choi, S Nigam, S Blecker, A Schmidt, ...
Machine Learning in Healthcare Workshop, NIPS, 1-5, 2013
142013
A deep learning approach for rapid mutational screening in melanoma
RH Kim, S Nomikou, Z Dawood, G Jour, D Donnelly, U Moran, JS Weber, ...
bioRxiv, 610311, 2019
122019
An overview of nonparametric bayesian models and applications to natural language processing
N Sharif-Razavian, A Zollmann
Science, 71-93, 2008
102008
Learning generative models of molecular dynamics
NS Razavian, H Kamisetty, CJ Langmead
BMC genomics 13 (1), 1-13, 2012
92012
The von mises graphical model: structure learning
NS Razavian, H Kamisetty, CJ Langmead
Technical Report CMU-CS-11-108, Carnegie Mellon University, 2011
92011
Fixed length word suffix for factored statistical machine translation
NS Razavian, S Vogel
Proceedings of the ACL 2010 Conference Short Papers, 147-150, 2010
92010
The von mises graphical model: Regularized structure and parameter learning
N Razavian, H Kamisetty, CJ Langmead
Technical Report CMU-CS-11-129, Carnegie Mellon University, 2011
82011
Early-learning regularization prevents memorization of noisy labels
S Liu, J Niles-Weed, N Razavian, C Fernandez-Granda
arXiv preprint arXiv:2007.00151, 2020
72020
Time-varying gaussian graphical models of molecular dynamics data
NS Razavian, S Moitra, H Kamisetty, A Ramanathan, CJ Langmead
Proceedings of 3DSIG, 2010
62010
The web as a platform to build machine translation resources
NS Razavian, S Vogel
Proceedings of the 2009 international workshop on Intercultural …, 2009
52009
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, ...
arXiv preprint arXiv:2008.01774, 2020
42020
Augmented reality microscopes for cancer histopathology
N Razavian
Nature medicine 25 (9), 1334-1336, 2019
42019
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Articles 1–20