Mayoore S. Jaiswal - Concepedia

Author

Mayoore S. Jaiswal

Also Known As

Jaiswal, Mayoore, Jaiswal, Mayoore S., Jaiswal, Mayoore Selvarasa, Mayoore Jaiswal, Mayoore S Jaiswal, Mayoore S. Jaiswal

Publications

770

Citations

H-Index

Concepts

All Affiliations

Shoklo Malaria Research Unit University of Washington Intellectual Ventures (United States)University of Lagos London School of Hygiene & Tropical Medicine

About

Mayoore S. Jaiswal is an author at Shoklo Malaria Research Unit specializing in image analysis, engineering, and deep learning.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	4	4	175
2	Medicine	2	2	116
3	Biostatistics	2	2	116
4	Public Health	1	1	34
5	Biomedical Engineering	1	1	16

Mayoore S. Jaiswal

Publications

722

Citations

H-Index

Page 1

	Year	Citations
An Observational Study of Deep Learning and Automated Evaluation of Cervical Images for Cancer Screening Liming Hu, D. A. Bell, Sameer Antani, JNCI Journal of the National Cancer Institute	2018	383
Computer-Automated Malaria Diagnosis and Quantitation Using Convolutional Neural Networks Courosh Mehanian, Mayoore S. Jaiswal, Charles B. Delahunt, EngineeringOptical MicroscopeMalariaDigital PathologyDiagnosis	2017	100
Automated microscopy for routine malaria diagnosis: a field comparison on Giemsa-stained blood films in Peru Katherine Torres, Christine Bachman, Charles B. Delahunt, Malaria Journal	2018	97
Performance of a fully‐automated system on a WHO malaria microscopy evaluation slide set Matthew P. Horning, Charles B. Delahunt, Christine Bachman, Malaria Journal	2021	67
An Observational Study of Deep Learning and Automated Evaluation of Cervical Images for Cancer Screening Liming Hu, David Bell, Sameer Antani, Obstetrical & Gynecological Survey Convolutional Neural NetworkEngineeringMachine LearningGynecologyPathology	2019	34
On the Limitation of Convolutional Neural Networks in Recognizing Negative Images Hossein Hosseini, Baicen Xiao, Mayoore S. Jaiswal, Convolutional Neural NetworkEngineeringMachine LearningImage ClassificationVisual Grounding	2017	25
Fully-automated patient-level malaria assessment on field-prepared thin blood film microscopy images Charles B. Delahunt, Mayoore S. Jaiswal, Matthew P. Horning, Convolutional Neural NetworkEngineeringMachine LearningMicroscopyMalaria	2019	16

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