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Author

Manoj Tadepalli

Observed names: M Tadepalli, Tadepalli, Manoj, Tadepalli, Manoj D
ORCID: 0000-0002-8632-9231
Observed ORCID: 0000-0002-8632-9231
OpenAlex ID: A5051647145
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) · 46
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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 · 28
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Effect of Artificial Intelligence as a Second Reader on the Lung Nodule Detection and Localization Accuracy of Radiologists and Non-radiology Physicians in Chest Radiographs: A Multicenter Reader Study
2024 · Dennis Robert, Saigopal Sathyamurthy, et al. · Academic Radiology · 25
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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 · 24
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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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Identifying malignant nodules on chest X-rays
2022 · Bassam Mahboub, Manoj Tadepalli, et al. · Advances in Biomedical and Health Sciences · 14
The utility of artificial intelligence in identifying radiological evidence of lung cancer and pulmonary tuberculosis in a high-burden tuberculosis setting
2024 · Z Z Nxumalo, E M Irusen, et al. · South African Medical Journal · 12
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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Early Detection of Heart Failure with Autonomous AI-Based Model Using Chest Radiographs: A Multicenter Study
2024 · Emiliano Garza-Frias, Parisa Kaviani, et al. · Diagnostics · 8
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Evaluating the Usefulness of Artificial Intelligence-based Chest X-Ray Screening in Improving Tuberculosis Detection Among the High-Risk Tribal Population of Chhattisgarh, India: A Prospective Multi-Centre Study
2025 · Abhishek Gupta, Aswathy M Nair, et al. · Open Forum Infectious Diseases · 3
DiffusionXRay: A Diffusion and GAN-Based Approach for Enhancing Digitally Reconstructed Chest Radiographs
2025 · Aryan Goyal, Ashish Mittal, et al. · Lecture notes in computer science · 1
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QureRadEmbed: Structuring Radiological Similarity through Attribute and Reasoning Supervision
2026 · Prabhu, Janhavi, Sahil, et al. · arXiv (Cornell University)
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Med-AR: Autoregressive Vision-Language Pretraining for Long-Tailed Chest X-Ray Classification and Uncertainty-Aware Evaluation
2026 · Prabhu, Janhavi, Sahil, et al. · arXiv (Cornell University)
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Anatomy-Decomposed Chest Computed Tomography (CT) Projections as Scalable Supervision for Bone Suppression in Chest Radiographs
2026 · Angaitkar, Mrunmay, Kumar, Piyush, et al. · arXiv (Cornell University)
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Utility of artificial intelligence in chest X-ray interpretation: a multi-reader multi-case study
2026 · Javier J Zulueta, Anshul Kumar Singh, et al. · European Respiratory Journal
Transforming Routine Chest Imaging into Opportunistic COPD Detection: Multicenter Validation of a Vision–Language AI Model Using Spirometry and Pulmonologist Review
2026 · Sahil Sahil, Janhavi Prabhu, et al. · European Respiratory Journal
A Diffusion-Driven Fine-Grained Nodule Synthesis Framework for Enhanced Lung Nodule Detection from Chest Radiographs
2026 · Goyal, Aryan, Singh, Shreshtha, et al. · arXiv (Cornell University)
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Computer-Aided Analysis of Photographed Chest X-Ray Films Performs Well Compared With Trained Radiologists
2026 · Zerubabel Desita, Temesgen Tadesse, et al. · Mayo Clinic Proceedings Digital Health
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Works count: 19
Citation count: 186
H-index: 8
I10-index: 7
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