Deepta Rajan
Deepta Rajan
IBM Research AI
Verified email at
Cited by
Cited by
Attend and diagnose: Clinical time series analysis using attention models
H Song, D Rajan, JJ Thiagarajan, A Spanias
arXiv preprint arXiv:1711.03905, 2017
Assessing individual performance in Agile undergraduate software engineering teams
RF Gamble, ML Hale
2013 IEEE Frontiers in Education Conference (FIE), 1678-1684, 2013
Health monitoring laboratories by interfacing physiological sensors to mobile android devices
D Rajan, A Spanias, S Ranganath, MK Banavar, P Spanias
2013 IEEE Frontiers in Education Conference (FIE), 1049-1055, 2013
A generative modeling approach to limited channel ECG classification
D Rajan, JJ Thiagarajan
2018 40th Annual International Conference of the IEEE Engineering in …, 2018
Kernel sparse models for automated tumor segmentation
JJ Thiagarajan, KN Ramamurthy, D Rajan, A Spanias, A Puri, D Frakes
International Journal on Artificial Intelligence Tools 23 (03), 1460004, 2014
Embedding Android signal processing apps in a high school math class—An RET project
MK Banavar, D Rajan, A Strom, P Spanias, XS Zhang, H Braun, ...
2014 IEEE Frontiers in Education Conference (FIE) Proceedings, 1-4, 2014
Medical sieve: a cognitive assistant for radiologists and cardiologists
T Syeda-Mahmood, E Walach, D Beymer, F Gilboa-Solomon, M Moradi, ...
Medical Imaging 2016: Computer-Aided Diagnosis 9785, 97850A, 2016
Leveraging medical visual question answering with supporting facts
T Kornuta, D Rajan, C Shivade, A Asseman, AS Ozcan
arXiv preprint arXiv:1905.12008, 2019
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, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2016
Automated tumor segmentation using kernel sparse representations
JJ Thiagarajan, D Rajan, KN Ramamurthy, D Frakes, A Spanias
2012 IEEE 12th International Conference on Bioinformatics & Bioengineering …, 2012
Understanding Behavior of Clinical Models under Domain Shifts
JJ Thiagarajan, D Rajan, P Sattigeri
arXiv preprint arXiv:1809.07806, 2018
Generalization studies of neural network models for cardiac disease detection using limited channel ecg
D Rajan, D Beymer, G Narayan
2018 Computing in Cardiology Conference (CinC) 45, 1-4, 2018
Development of mobile sensing apps for DSP applications
D Rajan, G Kalyanasundaram, S Hu, M Banavar, A Spanias
2013 IEEE Digital Signal Processing and Signal Processing Education Meeting …, 2013
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
Pi-PE: A pipeline for pulmonary embolism detection using sparsely annotated 3D CT images
D Rajan, D Beymer, S Abedin, E Dehghan
Machine Learning for Health Workshop, 220-232, 2020
Calibrating Healthcare AI: Towards Reliable and Interpretable Deep Predictive Models
JJ Thiagarajan, P Sattigeri, D Rajan, B Venkatesh
arXiv preprint arXiv:2004.14480, 2020
Self-Training with Improved Regularization for Few-Shot Chest X-Ray Classification
D Rajan, JJ Thiagarajan, A Karargyris, S Kashyap
arXiv preprint arXiv:2005.02231, 2020
On the Role of Artificial Intelligence in Medical Imaging of COVID-19
J Born, D Beymer, D Rajan, A Coy, VV Mukherjee, M Manica, P Prasanna, ...
medRxiv, 2020
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
Automatic discrepancy detection in medical data
D Rajan, T Syeda-Mahmood
US Patent App. 15/295,865, 2018
The system can't perform the operation now. Try again later.
Articles 1–20