James Gee
researcher (ORCID 0000-0002-2258-0187)
Facts
6 properties- Instance of
- human
- Date of birth
- 1954
- Occupation
- researcher, neurologist, computer scientist
- Employer
- University of Pennsylvania[5]
🏷️ Also known as
en James Gee
cs James C. Gee
nl J C Gee
🔖 Identifiers · 10
- ISNI
- 000000003849051X
- ORCID iD
- 0000-0002-2258-0187
- VIAF cluster ID
- 45355152
- GND ID
- 1036635627
- DDB person (GND) ID
- 1036635627
- IdRef ID
- 075516225
- NL CR AUT ID
- xx0016825
- National Library of Israel J9U ID
- 987007354618605171
- ResearcherID
- M-2467-2017
- Yale LUX ID
- person/8d8800b9-8543-4eb3-9c0e-b10c81064a1e
🔗 Connections
Author of 33
A Cloud-Based System for Automated AI Image Analysis and Reporting,
A concept-based interpretable model for the diagnosis of choroid neoplasias using multimodal data,
A new scale for the assessment of conjunctival bulbar redness,
Artificial Intelligence System Approaching Neuroradiologist-level Differential Diagnosis Accuracy at Brain MRI,
Automated data extraction and ensemble methods for predictive modeling of breast cancer outcomes after radiation therapy,
Automated Integration of AI Results into Radiology Reports Using Common Data Elements,
Automated multiclass tissue segmentation of clinical brain MRIs with lesions,
Automated Segmentation of the Choroid in EDI-OCT Images with Retinal Pathology Using Convolution Neural Networks
+25 more
← Authored by 33
A Cloud-Based System for Automated AI Image Analysis and Reporting,
A concept-based interpretable model for the diagnosis of choroid neoplasias using multimodal data,
A new scale for the assessment of conjunctival bulbar redness,
Artificial Intelligence System Approaching Neuroradiologist-level Differential Diagnosis Accuracy at Brain MRI,
Automated data extraction and ensemble methods for predictive modeling of breast cancer outcomes after radiation therapy,
Automated Integration of AI Results into Radiology Reports Using Common Data Elements,
Automated multiclass tissue segmentation of clinical brain MRIs with lesions,
Automated Segmentation of the Choroid in EDI-OCT Images with Retinal Pathology Using Convolution Neural Networks
+25 more
Affiliated with 10
University of Pennsylvania,
United States National Institutes of Health,
University of California, San Francisco,
National Institute of Allergy and Infectious Diseases,
Philadelphia University,
University of Electronic Science and Technology of China,
PennWest California,
Hospital of the University of Pennsylvania
+2 more
Press Enter · cited answer in seconds