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Laritza Rodriguez

Showing results (1-10 of 11) with videos related to

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AMIA ... Annual Symposium Proceedings. AMIA Symposium|March 10, 2016
Automatic Extraction and Post-coordination of Spatial Relations in Consumer LanguageKirk Roberts, Laritza Rodriguez, Sonya E Shooshan, et al.
AMIA ... Annual Symposium Proceedings. AMIA Symposium|March 9, 2017
Resource Classification for Medical QuestionsKirk Roberts, Laritza Rodriguez, Sonya E Shooshan, et al.
Journal of Biomedical Informatics|July 1, 2015
The role of fine-grained annotations in supervised recognition of risk factors for heart disease from EHRsKirk Roberts, Sonya E Shooshan, Laritza Rodriguez, et al.
Journal of Biomedical Informatics|June 21, 2020
Understanding spatial language in radiology: Representation framework, annotation, and spatial relation extraction from chest X-ray reports using deep learningSurabhi Datta, Yuqi Si, Laritza Rodriguez, et al.
AMIA ... Annual Symposium Proceedings. AMIA Symposium|March 1, 2019
Finding medication doses in the liteatureDina Demner-Fushman, James G Mork, Willie J Rogers, et al.
BMC Bioinformatics|February 8, 2018
Semantic annotation of consumer health questionsHalil Kilicoglu, Asma Ben Abacha, Yassine Mrabet, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 6, 2020
Malocclusion Classification on 3D Cone-Beam CT Craniofacial Images Using Multi-Channel Deep Learning Models<sup>.</sup>Incheol Kim, Dharitri Misra, Laritza Rodriguez, et al.
Journal of Pregnancy|December 24, 2013
Severe postpartum hemorrhage from uterine atony: a multicentric studyCarlos Montufar-Rueda, Laritza Rodriguez, José Douglas Jarquin, et al.
Scientific Data|January 31, 2018
A dataset of 200 structured product labels annotated for adverse drug reactionsDina Demner-Fushman, Sonya E Shooshan, Laritza Rodriguez, et al.
JMIR Bioinformatics and Biotechnology|June 27, 2024
Machine Learning Models for Prediction of Maternal Hemorrhage and Transfusion: Model Development StudyHoma Khorrami Ahmadzia, Alexa C Dzienny, Mike Bopf, et al.
Pageof 2

Showing results (1-10 of 11) with videos related to

Sort By:
Pageof 2
AMIA ... Annual Symposium Proceedings. AMIA Symposium|March 10, 2016
Automatic Extraction and Post-coordination of Spatial Relations in Consumer LanguageKirk Roberts, Laritza Rodriguez, Sonya E Shooshan, et al.
AMIA ... Annual Symposium Proceedings. AMIA Symposium|March 9, 2017
Resource Classification for Medical QuestionsKirk Roberts, Laritza Rodriguez, Sonya E Shooshan, et al.
Journal of Biomedical Informatics|July 1, 2015
The role of fine-grained annotations in supervised recognition of risk factors for heart disease from EHRsKirk Roberts, Sonya E Shooshan, Laritza Rodriguez, et al.
Journal of Biomedical Informatics|June 21, 2020
Understanding spatial language in radiology: Representation framework, annotation, and spatial relation extraction from chest X-ray reports using deep learningSurabhi Datta, Yuqi Si, Laritza Rodriguez, et al.
AMIA ... Annual Symposium Proceedings. AMIA Symposium|March 1, 2019
Finding medication doses in the liteatureDina Demner-Fushman, James G Mork, Willie J Rogers, et al.
BMC Bioinformatics|February 8, 2018
Semantic annotation of consumer health questionsHalil Kilicoglu, Asma Ben Abacha, Yassine Mrabet, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 6, 2020
Malocclusion Classification on 3D Cone-Beam CT Craniofacial Images Using Multi-Channel Deep Learning Models<sup>.</sup>Incheol Kim, Dharitri Misra, Laritza Rodriguez, et al.
Journal of Pregnancy|December 24, 2013
Severe postpartum hemorrhage from uterine atony: a multicentric studyCarlos Montufar-Rueda, Laritza Rodriguez, José Douglas Jarquin, et al.
Scientific Data|January 31, 2018
A dataset of 200 structured product labels annotated for adverse drug reactionsDina Demner-Fushman, Sonya E Shooshan, Laritza Rodriguez, et al.
JMIR Bioinformatics and Biotechnology|June 27, 2024
Machine Learning Models for Prediction of Maternal Hemorrhage and Transfusion: Model Development StudyHoma Khorrami Ahmadzia, Alexa C Dzienny, Mike Bopf, et al.
Pageof 2