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Pediatric Radiology|August 22, 2022
The requirements for performing artificial-intelligence-related research and model developmentAnuj Pareek, Matthew P Lungren, Safwan S HalabiPediatric Radiology|May 12, 2021
Current and emerging artificial intelligence applications for pediatric interventional radiologySudhen B Desai, Anuj Pareek, Matthew P LungrenIntelligence-Based Medicine|November 10, 2020
Deep learning and its role in COVID-19 medical imagingSudhen B Desai, Anuj Pareek, Matthew P LungrenNPJ Digital Medicine|October 21, 2020
Fusion of medical imaging and electronic health records using deep learning: a systematic review and implementation guidelinesShih-Cheng Huang, Anuj Pareek, Saeed Seyyedi, et al.Scientific Reports|December 18, 2020
Multimodal fusion with deep neural networks for leveraging CT imaging and electronic health record: a case-study in pulmonary embolism detectionShih-Cheng Huang, Anuj Pareek, Roham Zamanian, et al.Radiology|November 3, 2017
Performance of a Deep-Learning Neural Network Model in Assessing Skeletal Maturity on Pediatric Hand RadiographsDavid B Larson, Matthew C Chen, Matthew P Lungren, et al.NPJ Digital Medicine|April 26, 2023
Self-supervised learning for medical image classification: a systematic review and implementation guidelinesShih-Cheng Huang, Anuj Pareek, Malte Jensen, et al.Journal of Cystic Fibrosis : Official Journal of the European Cystic Fibrosis Society|May 7, 2019
Deep learning to automate Brasfield chest radiographic scoring for cystic fibrosisEvan J Zucker, Zachary A Barnes, Matthew P Lungren, et al.Nature Communications|March 26, 2021
Multi-task weak supervision enables anatomically-resolved abnormality detection in whole-body FDG-PET/CTSabri Eyuboglu, Geoffrey Angus, Bhavik N Patel, et al.Journal of the American College of Radiology : JACR|March 5, 2014
Improving the application of imaging clinical decision support tools: making the complex simpleJoshua S Broder, Safwan S HalabiPageof 13