Abhinav K. Jha - Concepedia

Author

Abhinav K. Jha

Washington University in St. Louis ORCID

Also Known As

A K Jha, A. K. JHA, A. K. Jha, A.K. Jha, Abhinav Ajay Jha, Abhinav Jha, Abhinav K Jha, Abhinav K. Jha, Abhinav Kumar Jha, Abhinav Kumar Jha

219

Publications

Citations

H-Index

120

Concepts

All Affiliations

Washington University in St. Louis Johns Hopkins University Mallinckrodt (United States)University of Arizona University of British Columbia

About

Abhinav K. Jha is an author at Washington University in St. Louis specializing in engineering, radiology, and medical imaging.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	16	23	656
2	Medicine	12	13	439
3	Health Sciences	10	11	254
4	Public Health	3	3	150
5	Applied Physics	2	2	42

Abhinav K. Jha

Publications

1.4K

Citations

H-Index

Page 1

	Year	Citations
Nuclear Medicine and Artificial Intelligence: Best Practices for Evaluation (the RELAINCE Guidelines) Abhinav K. Jha, Tyler Bradshaw, Irène Buvat, Journal of Nuclear Medicine Artificial IntelligenceRelaince GuidelinesEngineeringClinical Decision Support SystemIntelligent Diagnostics	2022	97
Secondary amines for CO2 capture: A kinetic investigation using N-ethylmonoethanolamine Parag N. Sutar, Abhinav K. Jha, Prakash D. Vaidya, Chemical Engineering Journal	2012	88
Nuclear Medicine and Artificial Intelligence: Best Practices for Algorithm Development Tyler Bradshaw, Ronald Boellaard, Joyita Dutta, Journal of Nuclear Medicine Artificial IntelligenceEngineeringComputational MedicineData ScienceMedical Imaging	2021	88
Clinical decisions using AI must consider patient values Jonathan Birch, Kathleen Creel, Abhinav K. Jha, Nature Medicine Biomedical Artificial IntelligenceMedical EthicsClinical Decision-makingClinical DecisionsPatient Safety	2022	77
Artificial Intelligence in Nuclear Medicine: Opportunities, Challenges, and Responsibilities Toward a Trustworthy Ecosystem Babak Saboury, Tyler Bradshaw, Ronald Boellaard, Journal of Nuclear Medicine	2022	59
Ethical Considerations for Artificial Intelligence in Medical Imaging: Data Collection, Development, and Evaluation Jonathan Herington, Melissa D. McCradden, Kathleen Creel, Journal of Nuclear Medicine Artificial IntelligenceEngineeringBiomedical EthicResearch EthicsBiomedical Artificial Intelligence	2023	48
Value of Intratumoral Metabolic Heterogeneity and Quantitative 18F-FDG PET/CT Parameters to Predict Prognosis in Patients With HPV-Positive Primary Oropharyngeal Squamous Cell Carcinoma Esther Mena, Mehdi Taghipour, Sara Sheikhbahaei, Clinical Nuclear Medicine	2017	47
Listening to membrane potential: photoacoustic voltage-sensitive dye recording Haichong K. Zhang, Ping Yan, Jeeun Kang, Journal of Biomedical Optics Voltage-sensitive DyesTissue ImagingEngineeringDye FluorescenceBiomedical Imaging	2017	47
Ethical Considerations for Artificial Intelligence in Medical Imaging: Deployment and Governance Jonathan Herington, Melissa D. McCradden, Kathleen Creel, Journal of Nuclear Medicine	2023	46
Simulating Silicon Photomultiplier Response to Scintillation Light Abhinav K. Jha, Herman T. van Dam, Matthew A. Kupinski, IEEE Transactions on Nuclear Science	2013	42

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