Raymond Y. Huang

Artificial intelligence in cancer imaging: Clinical challenges and applications

2019 · 1.779 Zit. · CA A Cancer Journal for Clinicians

Artificial Intelligence Augmentation of Radiologist Performance in Distinguishing COVID-19 from Pneumonia of Other Origin at Chest CT

2020 · 399 Zit. · Radiology

An automated COVID-19 triage pipeline using artificial intelligence based on chest radiographs and clinical data

2022 · 34 Zit. · npj Digital Medicine

SU‐D‐207B‐02: Early Grade Classification in Meningioma Patients Combining Radiomics and Semantics Data

2016 · 5 Zit. · Medical Physics

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

2023 · 4 Zit. · Academic Radiology

Artificial Intelligence for Response Assessment in Pediatric Neuro-Oncology (AI-RAPNO), part 1: review of the current state of the art

2025 · 4 Zit. · The Lancet Oncology

Artificial Intelligence for Response Assessment in Pediatric Neuro-Oncology (AI-RAPNO), part 2: challenges, opportunities, and recommendations for clinical translation

2025 · 2 Zit. · The Lancet Oncology

Performance of Automatic Machine Learning versus Radiologists in the Evaluation of Endometrium on Computed Tomography

2020 · 0 Zit. · SSRN Electronic Journal