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Bhargava K Reddy
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Real-time driver drowsiness detection for embedded system using model compression of deep neural networks
B Reddy, YH Kim, S Yun, C Seo, J Jang
Proceedings of the IEEE conference on computer vision and pattern …, 2017
2722017
Predicting hospital readmission for lupus patients: An RNN-LSTM-based deep-learning methodology
BK Reddy, D Delen
Computers in Biology and Medicine, 2018
1452018
Nemo: Neuro-evolution with multiobjective optimization of deep neural network for speed and accuracy
YH Kim, B Reddy, S Yun, C Seo
ICML 2017 AutoML workshop, 1-8, 2017
952017
Can artificial intelligence reliably report chest x-rays?: Radiologist validation of an algorithm trained on 2.3 million x-rays
P Putha, M Tadepalli, B Reddy, T Raj, JA Chiramal, S Govil, N Sinha, ...
arXiv preprint arXiv:1807.07455, 2018
432018
Predicting and explaining inflammation in Crohn’s disease patients using predictive analytics methods and electronic medical record data
BK Reddy, D Delen, RK Agrawal
Health informatics journal 25 (4), 1201-1218, 2019
352019
Can artificial intelligence reliably report chest x-rays
P Putha, M Tadepalli, B Reddy, T Raj, JA Chiramal, S Govil, N Sinha, ...
Radiologist Validation of an Algorithm trained on 2 (3), 2019
212019
Can artificial intelligence reliably report chest X-rays?: Radiologist validation of an algorithm trained on 2.3 million X-rays. arXiv 2018
P Putha, M Tadepalli, B Reddy, T Raj, JA Chiramal, S Govil, N Sinha, ...
arXiv preprint arXiv:1807.07455, 0
14
Performance of a chest radiography AI algorithm for detection of missed or mislabeled findings: a multicenter study
P Kaviani, SR Digumarthy, BC Bizzo, B Reddy, M Tadepalli, P Putha, ...
Diagnostics 12 (9), 2086, 2022
112022
Role of an automated deep learning algorithm for reliable screening of abnormality in chest radiographs: a prospective multicenter quality improvement study
A Govindarajan, A Govindarajan, S Tanamala, S Chattoraj, B Reddy, ...
Diagnostics 12 (11), 2724, 2022
82022
Text Classification for Clinical Trial Operations: Evaluation and Comparison of Natural Language Processing Techniques
R Emma, BK Reddy
Therapeutic Innovation & Regulatory Science (2020), 2020
7*2020
Frequency of missed findings on chest radiographs (CXRs) in an international, multicenter study: application of AI to reduce missed findings
P Kaviani, MK Kalra, SR Digumarthy, RV Gupta, G Dasegowda, ...
Diagnostics 12 (10), 2382, 2022
62022
Application of deep learning for medical imaging evaluation
P Putha, M Tadepalli, B Reddy, T Nimmada, P Rao, P Warier
US Patent 10,733,727, 2020
52020
Real-time eye blink detection using facial landmarks
B Reddy, YH Kim, S Yun, C Seo, J Jang
IEEE CVPRW, 2017
52017
End to end deep learning for single step real-time facial expression recognition
B Reddy, YH Kim, S Yun, J Jang, S Hong
Video Analytics. Face and Facial Expression Recognition and Audience …, 2017
52017
A clinical site workload prediction model with machine learning lifecycle
SD Bilal Mirza, Xinyang Li, Kris Lauwers, Bhargava Reddy, Anja Muller, Craig ...
Healthcare Analytics 3, 2023
42023
Copper (II) Acetate Mediated Synthesis of 3-Sulfonyl-2-aryl-2H-chromenes
MY Chang, YH Chen, HY Chen
Synthesis 51 (18), 3419-3430, 2019
42019
Publication Preview Source Use of Fast Healthcare Interoperability Resources (FHIR) in the Generation of Real World Evidence (RWE)
Z Regina, J Abolafia, BK Reddy
PhUSE 2017, 2017
32017
Systems and methods for detection of infectious respiratory diseases
P Putha, M Tadepalli, B Reddy, T Raj, A Jagirdar, P Rao, P Warier
US Patent 11,308,612, 2022
22022
Superfluid phase stability of 3He in axially anisotropic aerogel
J Pollanen, JP Davis, B Reddy, KR Shirer, H Choi, WP Halperin
Journal of Physics: Conference Series 150 (3), 032084, 2009
22009
Using artificial intelligence to stratify normal versus abnormal chest X-rays: external validation of a deep learning algorithm at East Kent Hospitals University NHS Foundation …
SR Blake, N Das, M Tadepalli, B Reddy, A Singh, R Agrawal, S Chattoraj, ...
Diagnostics 13 (22), 3408, 2023
12023
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