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Preetham Putha

Observed names: Preethan Putha, Putha, Preetham
OpenAlex ID: A5087649963
Deep learning in chest radiography: Detection of findings and presence of change
2018 · Ramandeep Singh, Mannudeep K. Kalra, et al. · PLoS ONE · 205
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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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Artificial intelligence matches subjective severity assessment of pneumonia for prediction of patient outcome and need for mechanical ventilation: a cohort study
2021 · Shadi Ebrahimian, Fatemeh Homayounieh, et al. · Scientific Reports · 44
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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 · 29
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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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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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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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Mind the Clot: Automated LVO Detection on CTA using Deep Learning
2023 · Shubham Kumar, Arjun Agarwal, et al. · IEEE International Conference on Computer Vision Workshops · 5
MRMCsamplesize: An R Package for Estimating Sample Sizes for Multi-Reader Multi-Case Studies
2023 · Dennis Robert, Saigopal Sathyamurthy, et al. · medRxiv · 4
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Development and internal validation of multimodal machine learning models for predicting eligibility for mechanical thrombectomy in suspected stroke patients using routinely collected clinical and imaging data
2025 · Arjun Agarwal, Nirman Bharti, et al. · PLoS ONE · 2
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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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
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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Works count: 17
Citation count: 421
H-index: 8
I10-index: 7
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