On the role of artificial intelligence in medical imaging of COVID-19
- Jannis Born
- David Beymer
- et al.
- 2021
- Patterns
Publications
10 results for Deepta Rajan
Self-training with improved regularization for sample-efficient chest x-ray classification
- Deepta Rajan
- Jayaraman J. Thiagarajan
- et al.
- 2021
- SPIE Medical Imaging 2021
Automatic localization of lung opacity in chest CT images: A real-world study
- Yiting Xie
- Deepta Rajan
- et al.
- 2021
- SPIE Medical Imaging 2021
DDxNet: a deep learning model for automatic interpretation of electronic health records, electrocardiograms and electroencephalograms
- Jayaraman J. Thiagarajan
- Deepta Rajan
- et al.
- 2020
- Scientific Reports
Learn-By-Calibrating: Using Calibration As A Training Objective
- Jayaraman J. Thiagarajan
- Bindya Venkatesh
- et al.
- 2020
- ICASSP 2020
Leveraging medical visual question answering with supporting facts
- T. Kornuta
- Deepta Rajan
- et al.
- 2019
- CLEF 2019
A Generative Modeling Approach to Limited Channel ECG Classification
- Deepta Rajan
- Jayaraman J. Thiagarajan
- 2018
- EMBC 2018
Generalization Studies of Neural Network Models for Cardiac Disease Detection Using Limited Channel ECG
- Deepta Rajan
- David Beymer
- et al.
- 2018
- CinC 2018
Attend and diagnose: Clinical time series analysis using attention models
- Huan Song
- Deepta Rajan
- et al.
- 2018
- AAAI 2018
Medical sieve: A cognitive assistant for radiologists and cardiologists
- Tanveer Syeda-Mahmood
- Eugene Walach
- et al.
- 2016
- SPIE Medical Imaging 2016