Zaid Nabulsi
Google (United States)(US)
Publications by Year
Research Areas
COVID-19 diagnosis using AI, Radiomics and Machine Learning in Medical Imaging, Tuberculosis Research and Epidemiology, Lung Cancer Diagnosis and Treatment, Medical Image Segmentation Techniques
Most-Cited Works
- → Deep Learning Detection of Active Pulmonary Tuberculosis at Chest Radiography Matched the Clinical Performance of Radiologists(2022)68 cited
- → Merlin: A Vision Language Foundation Model for 3D Computed Tomography(2024)57 cited
- → Simplified Transfer Learning for Chest Radiography Models Using Less Data(2022)54 cited
- → Deep learning for distinguishing normal versus abnormal chest radiographs and generalization to two unseen diseases tuberculosis and COVID-19(2021)52 cited
- → Prospective Multi-Site Validation of AI to Detect Tuberculosis and Chest X-Ray Abnormalities(2024)12 cited
- → Assistive AI in Lung Cancer Screening: A Retrospective Multinational Study in the United States and Japan(2024)12 cited
- → HeAR -- Health Acoustic Representations(2024)9 cited
- → Merlin: A Computed Tomography Vision-Language Foundation Model and Dataset(2024)9 cited
- → Predicting Poverty Level from Satellite Imagery using Deep Neural\n Networks(2021)8 cited
- → Deep learning for detecting pulmonary tuberculosis via chest\n radiography: an international study across 10 countries(2021)2 cited