Shahar Jamshy
Google (United States)(US)
Publications by Year
Research Areas
COVID-19 diagnosis using AI, Tuberculosis Research and Epidemiology, Functional Brain Connectivity Studies, Radiomics and Machine Learning in Medical Imaging, EEG and Brain-Computer Interfaces
Most-Cited Works
- → Deep Learning Detection of Active Pulmonary Tuberculosis at Chest Radiography Matched the Clinical Performance of Radiologists(2022)68 cited
- → Machine learning fMRI classifier delineates subgroups of schizophrenia patients(2014)63 cited
- → Deep learning for distinguishing normal versus abnormal chest radiographs and generalization to two unseen diseases tuberculosis and COVID-19(2021)52 cited
- → Neural dynamics necessary and sufficient for transition into pre-sleep induced by EEG NeuroFeedback(2014)24 cited
- → Enhanced functional synchronization of medial and lateral PFC underlies internally-guided action planning(2012)16 cited
- → Prospective Multi-Site Validation of AI to Detect Tuberculosis and Chest X-Ray Abnormalities(2024)12 cited
- → Searchlight Based Feature Extraction(2012)2 cited
- → Deep learning for detecting pulmonary tuberculosis via chest\n radiography: an international study across 10 countries(2021)2 cited
- → Reducing Keypoint Database Size(2009)1 cited
- → Deep Learning for Distinguishing Normal versus Abnormal Chest Radiographs and Generalization to Unseen Diseases(2020)1 cited