OpenAlex · Aktualisierung stündlich · Letzte Aktualisierung: 09.04.2026, 21:33

Christopher P. Bridge

108 Arbeiten1.641 Zitationen

Political Research Associates · US

Relevante Arbeiten

Meistzitierte Publikationen im Bereich Gesundheit & MedTech

Addressing the Challenges of Implementing Artificial Intelligence Tools in Clinical Practice: Principles From Experience

2023 · 45 Zit. · Journal of the American College of Radiology

From Machine Learning to Patient Outcomes: A Comprehensive Review of AI in Pancreatic Cancer

2024 · 43 Zit. · Diagnostics

National Cancer Institute Imaging Data Commons: Toward Transparency, Reproducibility, and Scalability in Imaging Artificial Intelligence

2023 · 29 Zit. · Radiographics

Highdicom: a Python Library for Standardized Encoding of Image Annotations and Machine Learning Model Outputs in Pathology and Radiology

2022 · 21 Zit. · Journal of Digital Imaging

The Trials and Tribulations of Assembling Large Medical Imaging Datasets for Machine Learning Applications

2021 · 18 Zit. · Journal of Digital Imaging

Current State of Community-Driven Radiological AI Deployment in Medical Imaging

2024 · 15 Zit. · JMIR AI

CheXstray: A Real-Time Multi-Modal Monitoring Workflow for Medical Imaging AI

2023 · 7 Zit. · Lecture notes in computer science

PRECISE framework: Enhanced radiology reporting with GPT for improved readability, reliability, and patient-centered care

2025 · 6 Zit. · European Journal of Radiology

Large language models as an academic resource for radiologists stepping into artificial intelligence research

2024 · 6 Zit. · Current Problems in Diagnostic Radiology

Conformal Triage for Medical Imaging AI Deployment

2024 · 5 Zit.

Improving the repeatability of deep learning models with Monte Carlo dropout

2022 · 5 Zit. · arXiv (Cornell University)

Not without Context—A Multiple Methods Study on Evaluation and Correction of Automated Brain Tumor Segmentations by Experts

2023 · 4 Zit. · Academic Radiology

Current State of Community-Driven Radiological AI Deployment in Medical Imaging

2022 · 4 Zit. · arXiv (Cornell University)

"Name that manufacturer". Relating image acquisition bias with task complexity when training deep learning models: experiments on head CT

2020 · 3 Zit. · arXiv (Cornell University)

Deploying clinical machine learning? Consider the following...

2021 · 3 Zit. · arXiv (Cornell University)