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Bhargava Reddy

Observed names: BHARGAVA MR REDDY, Reddy, Bhargava
ORCID: 0000-0001-7643-7346
Observed ORCID: 0000-0001-7643-7346
OpenAlex ID: A5024079803
Real-Time Driver Drowsiness Detection for Embedded System Using Model Compression of Deep Neural Networks
2017 · Bhargava Reddy, Ye-Hoon Kim, et al. · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · 276
Can Artificial Intelligence Reliably Report Chest X-Rays?: Radiologist Validation of an Algorithm trained on 2.3 Million X-Rays
2018 · Putha, Preetham, Tadepalli, Manoj, et al. · arXiv (Cornell University) · 53
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Role of an Automated Deep Learning Algorithm for Reliable Screening of Abnormality in Chest Radiographs: A Prospective Multicenter Quality Improvement Study
2022 · Arunkumar Govindarajan, Aarthi Govindarajan, et al. · Diagnostics · 30
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Performance of a Chest Radiography AI Algorithm for Detection of Missed or Mislabeled Findings: A Multicenter Study
2022 · Parisa Kaviani, Subba R. Digumarthy, et al. · Diagnostics · 29
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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 Trust
2023 · Sarah R. Blake, Neelanjan Das, et al. · Diagnostics · 25
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Frequency of Missed Findings on Chest Radiographs (CXRs) in an International, Multicenter Study: Application of AI to Reduce Missed Findings
2022 · Parisa Kaviani, Mannudeep K. Kalra, et al. · Diagnostics · 16
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Comparing the Output of an Artificial Intelligence Algorithm in Detecting Radiological Signs of Pulmonary Tuberculosis in Digital Chest X-Rays and Their Smartphone-Captured Photos of X-Ray Films: Retrospective Study
2024 · Smriti Ridhi, Dennis Robert, et al. · JMIR Formative Research · 11
Comparing deep learning models for tuberculosis detection: A retrospective study of digital vs. analog chest radiographs
2024 · Subhankar Chattoraj, Bhargava Reddy, et al. · Indian Journal of Tuberculosis · 9
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Accuracy of an artificial intelligence-enabled diagnostic assistance device in recognizing normal chest radiographs: a service evaluation
2023 · Amrita Kumar, Puja Patel, et al. · BJR|Open · 9
Beyond Validation: Operationalising Post-Deployment Surveillance of AI Medical Devices in Clinical Practice
2026 · Jesus A. Perdomo Lampignano, Aditya Kale, et al. · Journal of Medical Systems · 7
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Post-deployment performance of a deep learning algorithm for normal and abnormal chest X-ray classification: A study at visa screening centers in the United Arab Emirates
2024 · Amina Abdelqadir Mohamed AlJasmi, Hatem Ghonim, et al. · European Journal of Radiology Open · 5
Budget impact of implementing AI-enabled chest X-ray based incidental pulmonary nodule detection for early lung cancer diagnosis: models from Colombia, Costa Rica, Mexico, Thailand and Vietnam
2026 · Albertus Constantijn Sloof, Sofia Sheveleva, et al. · Journal of Medical Economics
Budget impact of implementing AI-enabled chest X-ray based incidental pulmonary nodule detection for early lung cancer diagnosis: models from Colombia, Costa Rica, Mexico, Thailand and Vietnam
2026 · Sloof, Albertus Constantijn, Sheveleva, Sofia, et al. · Figshare
Needle in a Haystack: Opportunistic Screening of Lung Nodules Amidst Covid-19 Using Deep Learning
2022 · VIKASH CHALLA, VANAPALLI PRAKASH, et al. · CHEST Journal
Works count: 14
Citation count: 470
H-index: 9
I10-index: 7
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