Narges Razavian

Publication Activity (10 Years)

Years Active: 2012-2023
Publications (10 Years): 35

Top Topics

Probability Estimation

Electronic Health Records

Convolutional Neural Networks

Top Venues

npj Digit. Medicine

Publications

Weicheng Zhu, Sheng Liu, Carlos Fernandez-Granda, Narges Razavian
Making Self-supervised Learning Robust to Spurious Correlation via Learning-speed Aware Sampling. CoRR (2023)
Long Chen, Liben Chen, Binfeng Xu, Wenxin Zhang, Narges Razavian
Automatic Detection of Alzheimer's Disease with Multi-Modal Fusion of Clinical MRI Scans. CoRR (2023)
Kangning Liu, Weicheng Zhu, Yiqiu Shen, Sheng Liu, Narges Razavian, Krzysztof J. Geras, Carlos Fernandez-Granda
Multiple Instance Learning via Iterative Self-Paced Supervised Contrastive Learning. CVPR (2023)
Weicheng Zhu, Carlos Fernandez-Granda, Narges Razavian
Interpretable Prediction of Lung Squamous Cell Carcinoma Recurrence With Self-supervised Learning. CoRR (2022)
Kangning Liu, Weicheng Zhu, Yiqiu Shen, Sheng Liu, Narges Razavian, Krzysztof J. Geras, Carlos Fernandez-Granda
Multiple Instance Learning via Iterative Self-Paced Supervised Contrastive Learning. CoRR (2022)
Sheng Liu, Aakash Kaku, Weicheng Zhu, Matan Leibovich, Sreyas Mohan, Boyang Yu, Haoxiang Huang, Laure Zanna, Narges Razavian, Jonathan Niles-Weed, Carlos Fernandez-Granda
Deep Probability Estimation. ICML (2022)
Weicheng Zhu, Carlos Fernandez-Granda, Narges Razavian
Interpretable Prediction of Lung Squamous Cell Carcinoma Recurrence With Self-supervised Learning. MIDL (2022)
Farah E. Shamout, Yiqiu Shen, Nan Wu, Aakash Kaku, Jungkyu Park, Taro Makino, Stanislaw Jastrzebski, Jan Witowski, Duo Wang, Ben Zhang, Siddhant Dogra, Meng Cao, Narges Razavian, David Kudlowitz, Lea Azour, William Moore, Yvonne W. Lui, Yindalon Aphinyanaphongs, Carlos Fernandez-Granda, Krzysztof J. Geras
An artificial intelligence system for predicting the deterioration of COVID-19 patients in the emergency department. npj Digit. Medicine 4 (2021)
Aakash Kaku, Sahana Upadhya, Narges Razavian
Intermediate Layers Matter in Momentum Contrastive Self Supervised Learning. NeurIPS (2021)
Sheng Liu, Aakash Kaku, Weicheng Zhu, Matan Leibovich, Sreyas Mohan, Boyang Yu, Laure Zanna, Narges Razavian, Carlos Fernandez-Granda
Deep Probability Estimation. CoRR (2021)
Daniel Jiwoong Im, Kyunghyun Cho, Narges Razavian
Causal Effect Variational Autoencoder with Uniform Treatment. CoRR (2021)
Weicheng Zhu, Narges Razavian
Variationally regularized graph-based representation learning for electronic health records. CHIL (2021)
Aakash Kaku, Sahana Upadhya, Narges Razavian
Intermediate Layers Matter in Momentum Contrastive Self Supervised Learning. CoRR (2021)
Sheng Liu, Jonathan Niles-Weed, Narges Razavian, Carlos Fernandez-Granda
Early-Learning Regularization Prevents Memorization of Noisy Labels. NeurIPS (2020)
Zachariah Zhang, Jingshu Liu, Narges Razavian
BERT-XML: Large Scale Automated ICD Coding Using BERT Pretraining. CoRR (2020)
Narges Razavian, Vincent J. Major, Mukund Sudarshan, Jesse Burk-Rafel, Peter Stella, Hardev Randhawa, Seda Bilaloglu, Ji Chen, Vuthy Nguy, Walter Wang, Hao Zhang, Ilan Reinstein, David Kudlowitz, Cameron Zenger, Meng Cao, Ruina Zhang, Siddhant Dogra, Keerthi B. Harish, Brian Bosworth, Fritz Francois, Leora I. Horwitz, Rajesh Ranganath, Jonathan Austrian, Yindalon Aphinyanaphongs
A validated, real-time prediction model for favorable outcomes in hospitalized COVID-19 patients. npj Digit. Medicine 3 (2020)
Xiaoyi Zhang, Rodoniki Athanasiadou, Narges Razavian
Tracing State-Level Obesity Prevalence from Sentence Embeddings of Tweets: A Feasibility Study. Poly/DMAH@VLDB (2020)
Sheng Liu, Jonathan Niles-Weed, Narges Razavian, Carlos Fernandez-Granda
Early-Learning Regularization Prevents Memorization of Noisy Labels. CoRR (2020)
Zachariah Zhang, Jingshu Liu, Narges Razavian
BERT-XML: Large Scale Automated ICD Coding Using BERT Pretraining. ClinicalNLP@EMNLP (2020)
Farah E. Shamout, Yiqiu Shen, Nan Wu, Aakash Kaku, Jungkyu Park, Taro Makino, Stanislaw Jastrzebski, Duo Wang, Ben Zhang, Siddhant Dogra, Meng Cao, Narges Razavian, David Kudlowitz, Lea Azour, William Moore, Yvonne W. Lui, Yindalon Aphinyanaphongs, Carlos Fernandez-Granda, Krzysztof J. Geras
An artificial intelligence system for predicting the deterioration of COVID-19 patients in the emergency department. CoRR (2020)
Aakash Kaku, Chaitra V. Hegde, Jeffrey Huang, Sohae Chung, Xiuyuan Wang, Matthew Young, Alireza Radmanesh, Yvonne W. Lui, Narges Razavian
DARTS: DenseUnet-based Automatic Rapid Tool for brain Segmentation. CoRR (2019)
Sheng Liu, Chhavi Yadav, Carlos Fernandez-Granda, Narges Razavian
On the design of convolutional neural networks for automatic detection of Alzheimer's disease. ML4H@NeurIPS (2019)
Weicheng Zhu, Narges Razavian
Graph Neural Network on Electronic Health Records for Predicting Alzheimer's Disease. CoRR (2019)
Sheng Liu, Chhavi Yadav, Carlos Fernandez-Granda, Narges Razavian
On the design of convolutional neural networks for automatic detection of Alzheimer's disease. CoRR (2019)
Xiaoyi Zhang, Rodoniki Athanasiadou, Narges Razavian
Tracing State-Level Obesity Prevalence from Sentence Embeddings of Tweets: A Feasibility Study. CoRR (2019)
Josie Williams, Narges Razavian
Towards Quantification of Bias in Machine Learning for Healthcare: A Case Study of Renal Failure Prediction. CoRR (2019)
Jingshu Liu, Zachariah Zhang, Narges Razavian
Deep EHR: Chronic Disease Prediction Using Medical Notes. MLHC (2018)
Jingshu Liu, Zachariah Zhang, Narges Razavian
Deep EHR: Chronic Disease Prediction Using Medical Notes. CoRR (2018)
Narges Razavian, Jake Marcus, David A. Sontag
Multi-task Prediction of Disease Onsets from Longitudinal Laboratory Tests. MLHC (2016)
Narges Razavian, Jake Marcus, David A. Sontag
Multi-task Prediction of Disease Onsets from Longitudinal Lab Tests. CoRR (2016)
Narges Razavian, David A. Sontag
Temporal Convolutional Neural Networks for Diagnosis from Lab Tests. CoRR (2015)
Narges Razavian, Saul Blecker, David A. Sontag
Gaussian Processes for interpreting Multiple Prostate Specific Antigen measurements for Prostate Cancer Prediction. AMIA (2015)
Josua Krause, Narges Razavian, Enrico Bertini, David A. Sontag
Visual Exploration of Temporal Data in Electronic Medical Records. AMIA (2015)
Narges Razavian
Advancing the frontier of data-driven healthcare. XRDS 21 (4) (2015)
Narges Razavian, Saul Blecker, Ann Marie Schmidt, Aaron Smith-McLallen, Somesh Nigam, David A. Sontag
Population-Level Prediction of Type 2 Diabetes From Claims Data and Analysis of Risk Factors. Big Data 3 (4) (2015)
Narges Razavian, Hetunandan Kamisetty, Christopher James Langmead
Learning generative models of molecular dynamics. BMC Genom. 13 (S-1) (2012)