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 | 298 | 2017 |
Predicting hospital readmission for lupus patients: An RNN-LSTM-based deep-learning methodology BK Reddy, D Delen Computers in Biology and Medicine, 2018 | 158 | 2018 |
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 | 102 | 2017 |
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 | 41* | 2018 |
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 | 40 | 2019 |
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), 2018 | 36 | 2018 |
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 | 14 | 2022 |
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 | 14 | 2022 |
An analysis on opinion mining: techniques and tools S Kumar, B Reddy Indian Journal of Research 5 (8), 489-492, 2016 | 14 | 2016 |
Text Classification for Clinical Trial Operations: Evaluation and Comparison of Natural Language Processing Techniques R Emma, BK Reddy Therapeutic Innovation & Regulatory Science (2020), 2020 | 8* | 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 | 7 | 2022 |
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 | 7 | 2020 |
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 | 6 | 2017 |
Real-time eye blink detection using facial landmarks B Reddy, YH Kim, S Yun, C Seo, J Jang IEEE CVPRW, 2017 | 5 | 2017 |
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 | 4 | 2023 |
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 | 4 | 2022 |
Copper (II) Acetate Mediated Synthesis of 3-Sulfonyl-2-aryl-2H-chromenes MY Chang, YH Chen, HY Chen Synthesis 51 (18), 3419-3430, 2019 | 4 | 2019 |
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 | 3 | 2023 |
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 | 3 | 2017 |
Predicting lung cancer risk P Putha, M Tadepalli, B Reddy, T Raj, A Jagirdar, P Rao, P Warier US Patent 11,276,173, 2022 | 2 | 2022 |