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George Smith

Showing results (101-110 of 140) with videos related to

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Frontiers in Public Health|August 1, 2022
Determinants of Double Burden of Malnutrition Among School Children and Adolescents in Urban Dhaka: A Multi-Level AnalysesMd Tariqujjaman, Sifat Parveen Sheikh, George Smith, et al.
Chemical Science|December 9, 2021
Radical-anion coupling through reagent design: hydroxylation of aryl halidesAndrew J Greener, Patrycja Ubysz, Will Owens-Ward, et al.
Medical Physics|November 16, 2021
RootPainter3D: Interactive-machine-learning enables rapid and accurate contouring for radiotherapyAbraham George Smith, Jens Petersen, Cynthia Terrones-Campos, et al.
Plant Methods|April 21, 2026
A systematic comparison of transformers and ConvNets for root segmentation across nine datasetsAbraham George Smith, Sotiris Lamprinidis, Anand Seethepalli, et al.
The New Phytologist|July 19, 2022
RootPainter: deep learning segmentation of biological images with corrective annotationAbraham George Smith, Eusun Han, Jens Petersen, et al.
Annals of Vascular Surgery|May 10, 2026
Machine learning models in the prediction of adverse outcomes in peripheral arterial disease: meta-analysisBharadhwaj Ravindhran, Laila Ubhi, Shahani Nazir, et al.
British Journal of Cancer|January 7, 2010
Considerations for the use of plasma cytokeratin 18 as a biomarker in pancreatic cancerC Dive, R A Smith, E Garner, et al.
International Wound Journal|April 15, 2025
ASSIST: Development of a Simplified Clinician-Patient Hybrid Reporting Outcome Measure for Remote Diagnosis of Surgical Site InfectionRoss Lathan, Louise Hitchman, Josephine Walshaw, et al.
Annals of Vascular Surgery|May 20, 2026
A Dynamic Machine Learning Approach to Complement Nurse-Led Clinics in Identifying High-Risk Patients with Intermittent ClaudicationBharadhwaj Ravindhran, Georgina Hatfield-Chetter, Josephine Morris-Jarvis, et al.
Journal of Wound Care|August 17, 2023
Clinical prediction models and risk tools for early detection of patients at risk of surgical site infection and surgical wound dehiscence: a scoping reviewKylie Sandy-Hodgetts, Ojan Assadian, Thomas W Wainwright, et al.
Pageof 14

Showing results (101-110 of 140) with videos related to

Sort By:
Pageof 14
Frontiers in Public Health|August 1, 2022
Determinants of Double Burden of Malnutrition Among School Children and Adolescents in Urban Dhaka: A Multi-Level AnalysesMd Tariqujjaman, Sifat Parveen Sheikh, George Smith, et al.
Chemical Science|December 9, 2021
Radical-anion coupling through reagent design: hydroxylation of aryl halidesAndrew J Greener, Patrycja Ubysz, Will Owens-Ward, et al.
Medical Physics|November 16, 2021
RootPainter3D: Interactive-machine-learning enables rapid and accurate contouring for radiotherapyAbraham George Smith, Jens Petersen, Cynthia Terrones-Campos, et al.
Plant Methods|April 21, 2026
A systematic comparison of transformers and ConvNets for root segmentation across nine datasetsAbraham George Smith, Sotiris Lamprinidis, Anand Seethepalli, et al.
The New Phytologist|July 19, 2022
RootPainter: deep learning segmentation of biological images with corrective annotationAbraham George Smith, Eusun Han, Jens Petersen, et al.
Annals of Vascular Surgery|May 10, 2026
Machine learning models in the prediction of adverse outcomes in peripheral arterial disease: meta-analysisBharadhwaj Ravindhran, Laila Ubhi, Shahani Nazir, et al.
British Journal of Cancer|January 7, 2010
Considerations for the use of plasma cytokeratin 18 as a biomarker in pancreatic cancerC Dive, R A Smith, E Garner, et al.
International Wound Journal|April 15, 2025
ASSIST: Development of a Simplified Clinician-Patient Hybrid Reporting Outcome Measure for Remote Diagnosis of Surgical Site InfectionRoss Lathan, Louise Hitchman, Josephine Walshaw, et al.
Annals of Vascular Surgery|May 20, 2026
A Dynamic Machine Learning Approach to Complement Nurse-Led Clinics in Identifying High-Risk Patients with Intermittent ClaudicationBharadhwaj Ravindhran, Georgina Hatfield-Chetter, Josephine Morris-Jarvis, et al.
Journal of Wound Care|August 17, 2023
Clinical prediction models and risk tools for early detection of patients at risk of surgical site infection and surgical wound dehiscence: a scoping reviewKylie Sandy-Hodgetts, Ojan Assadian, Thomas W Wainwright, et al.
Pageof 14