受强制性开放获取政策约束的文章 - Deepta Rajan了解详情
无法在其他位置公开访问的文章：1 篇
Identifying patients at risk for aortic stenosis through learning from multimodal data
T Syeda-Mahmood, Y Guo, M Moradi, D Beymer, D Rajan, Y Cao, Y Gur, ...
Medical Image Computing and Computer-Assisted Intervention-MICCAI 2016: 19th …, 2016
强制性开放获取政策： US National Science Foundation, US National Institutes of Health
可在其他位置公开访问的文章：15 篇
Attend and diagnose: Clinical time series analysis using attention models
H Song, D Rajan, J Thiagarajan, A Spanias
Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018
强制性开放获取政策： US Department of Energy
A generative modeling approach to limited channel ECG classification
D Rajan, JJ Thiagarajan
2018 40th Annual International Conference of the IEEE Engineering in …, 2018
强制性开放获取政策： US Department of Energy
Training calibration-based counterfactual explainers for deep learning models in medical image analysis
JJ Thiagarajan, K Thopalli, D Rajan, P Turaga
Scientific reports 12 (1), 597, 2022
强制性开放获取政策： US Department of Energy
Fair selective classification via sufficiency
JK Lee, Y Bu, D Rajan, P Sattigeri, R Panda, S Das, GW Wornell
International conference on machine learning, 6076-6086, 2021
强制性开放获取政策： US National Science Foundation
Designing counterfactual generators using deep model inversion
J Thiagarajan, VS Narayanaswamy, D Rajan, J Liang, A Chaudhari, ...
Advances in Neural Information Processing Systems 34, 16873-16884, 2021
强制性开放获取政策： US Department of Energy
DDxNet: a deep learning model for automatic interpretation of electronic health records, electrocardiograms and electroencephalograms
JJ Thiagarajan, D Rajan, S Katoch, A Spanias
Scientific reports 10 (1), 16428, 2020
强制性开放获取政策： US Department of Energy
Self-training with improved regularization for sample-efficient chest x-ray classification
D Rajan, JJ Thiagarajan, A Karargyris, S Kashyap
Medical Imaging 2021: Computer-Aided Diagnosis 11597, 418-425, 2021
强制性开放获取政策： US Department of Energy
Improving reliability of clinical models using prediction calibration
JJ Thiagarajan, B Venkatesh, D Rajan, P Sattigeri
Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and …, 2020
强制性开放获取政策： US Department of Energy
Learn-by-calibrating: Using calibration as a training objective
JJ Thiagarajan, B Venkatesh, D Rajan
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
强制性开放获取政策： US Department of Energy
Exploring inlier and outlier specification for improved medical ood detection
V Narayanaswamy, Y Mubarka, R Anirudh, D Rajan, JJ Thiagarajan
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
强制性开放获取政策： US Department of Energy
Interactive Signal Processing Education Applications for the Android Platform.
S Ranganath, JJ Thiagarajan, D Rajan, MK Banavar, A Spanias, J Fan, ...
Computers in Education Journal 10 (2), 2019
强制性开放获取政策： US National Science Foundation
Designing counterfactual generators on-the-fly
JJ Thiagarajan, V Narayanaswamy, D Rajan, J Liang, A Chaudhari, ...
Lawrence Livermore National Lab.(LLNL), Livermore, CA (United States), 2021
强制性开放获取政策： US Department of Energy
Revisiting Inlier and Outlier Specification for Improved Out-of-Distribution Detection
V Narayanaswamy, Y Mubarka, R Anirudh, D Rajan, A Spanias, ...
Lawrence Livermore National Lab.(LLNL), Livermore, CA (United States), 2022
强制性开放获取政策： US Department of Energy
Using Direct Error Predictors to Improve Model Safety and Interpretability
V Narayanaswamy, D Rajan, A Spanias, JJ Thiagarajan
Lawrence Livermore National Lab.(LLNL), Livermore, CA (United States), 2022
强制性开放获取政策： US Department of Energy
AI-based Introspection of COVID-19 Infections in Chest X-Rays
JJ Thiagarajan, K Thopalli, D Rajan, P Sattigeri, P Turaga
npj Digital Medicine, 2020
强制性开放获取政策： US Department of Energy
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