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Ashok Krishnamurthy

Showing results (1-10 of 41) with videos related to

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ACM-BCB ... ... : the ... ACM Conference on Bioinformatics, Computational Biology and Biomedicine. ACM Conference on Bioinformatics, Computational Biology and Biomedicine|May 28, 2021
SAU-Net: A Universal Deep Network for Cell CountingYue Guo, Guorong Wu, Jason Stein, et al.
Spatial and Spatio-Temporal Epidemiology|August 13, 2014
Bayesian tracking of emerging epidemics using ensemble optimal statistical interpolationLoren Cobb, Ashok Krishnamurthy, Jan Mandel, et al.
JMIR Medical Informatics|February 4, 2020
Clinical Annotation Research Kit (CLARK): Computable Phenotyping Using Machine LearningEmily R Pfaff, Miles Crosskey, Kenneth Morton, et al.
Procedia Computer Science|October 30, 2010
Data driven computing by the morphing fast Fourier transform ensemble Kalman filter in epidemic spread simulationsJan Mandel, Jonathan D Beezley, Loren Cobb, et al.
The Canadian Journal of Plastic Surgery = Journal Canadien De Chirurgie Plastique|November 14, 2013
Traumatic intratendinous flexor digitorum profundus rupture: A case reportAshok Krishnamurthy, Dinakar Golla, Wp Andrew Lee, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics|June 16, 2021
SAU-Net: A Unified Network for Cell Counting in 2D and 3D Microscopy ImagesYue Guo, Oleh Krupa, Jason Stein, et al.
BMC Medical Informatics and Decision Making|January 14, 2025
FHIR PIT: a geospatial and spatiotemporal data integration pipeline to support subject-level clinical researchKaramarie Fecho, Juan J Garcia, Hong Yi, et al.
BMC Medical Informatics and Decision Making|February 26, 2025
Correction: FHIR PIT: a geospatial and spatiotemporal data integration pipeline to support subject-level clinical researchKaramarie Fecho, Juan J Garcia, Hong Yi, et al.
Scientific Reports|January 8, 2026
Selective classification with machine learning uncertainty estimates improves ACS prediction: a retrospective study in the prehospital settingJuan Jose Garcia, Rebecca Kitzmiller, Ashok Krishnamurthy, et al.
Journal of Midwifery & Women'S Health|October 14, 2015
A Mixed-Methods Study of Immigrant Somali Women's Health Literacy and Perinatal Experiences in MaineSusan D Jacoby, Monique Lucarelli, Fowsia Musse, et al.
Pageof 5

Showing results (1-10 of 41) with videos related to

Sort By:
Pageof 5
ACM-BCB ... ... : the ... ACM Conference on Bioinformatics, Computational Biology and Biomedicine. ACM Conference on Bioinformatics, Computational Biology and Biomedicine|May 28, 2021
SAU-Net: A Universal Deep Network for Cell CountingYue Guo, Guorong Wu, Jason Stein, et al.
Spatial and Spatio-Temporal Epidemiology|August 13, 2014
Bayesian tracking of emerging epidemics using ensemble optimal statistical interpolationLoren Cobb, Ashok Krishnamurthy, Jan Mandel, et al.
JMIR Medical Informatics|February 4, 2020
Clinical Annotation Research Kit (CLARK): Computable Phenotyping Using Machine LearningEmily R Pfaff, Miles Crosskey, Kenneth Morton, et al.
Procedia Computer Science|October 30, 2010
Data driven computing by the morphing fast Fourier transform ensemble Kalman filter in epidemic spread simulationsJan Mandel, Jonathan D Beezley, Loren Cobb, et al.
The Canadian Journal of Plastic Surgery = Journal Canadien De Chirurgie Plastique|November 14, 2013
Traumatic intratendinous flexor digitorum profundus rupture: A case reportAshok Krishnamurthy, Dinakar Golla, Wp Andrew Lee, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics|June 16, 2021
SAU-Net: A Unified Network for Cell Counting in 2D and 3D Microscopy ImagesYue Guo, Oleh Krupa, Jason Stein, et al.
BMC Medical Informatics and Decision Making|January 14, 2025
FHIR PIT: a geospatial and spatiotemporal data integration pipeline to support subject-level clinical researchKaramarie Fecho, Juan J Garcia, Hong Yi, et al.
BMC Medical Informatics and Decision Making|February 26, 2025
Correction: FHIR PIT: a geospatial and spatiotemporal data integration pipeline to support subject-level clinical researchKaramarie Fecho, Juan J Garcia, Hong Yi, et al.
Scientific Reports|January 8, 2026
Selective classification with machine learning uncertainty estimates improves ACS prediction: a retrospective study in the prehospital settingJuan Jose Garcia, Rebecca Kitzmiller, Ashok Krishnamurthy, et al.
Journal of Midwifery & Women'S Health|October 14, 2015
A Mixed-Methods Study of Immigrant Somali Women's Health Literacy and Perinatal Experiences in MaineSusan D Jacoby, Monique Lucarelli, Fowsia Musse, et al.
Pageof 5