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Robert D E Henderson

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

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Soft Matter|December 21, 2020
Kelvin probe force microscopy to study electrostatic interactions of DNA with lipid-gemini surfactant monolayers for gene deliveryRobert D E Henderson, Carina T Filice, Shawn Wettig, et al.
Journal of Digital Imaging|June 26, 2021
Automatic Detection and Classification of Multiple Catheters in Neonatal Radiographs with Deep LearningRobert D E Henderson, Xin Yi, Scott J Adams, et al.
Radiology. Artificial Intelligence|May 3, 2021
Computer-aided Assessment of Catheters and Tubes on Radiographs: How Good Is Artificial Intelligence for Assessment?Xin Yi, Scott J Adams, Robert D E Henderson, et al.
Canadian Association of Radiologists Journal = Journal L'Association Canadienne Des Radiologistes|August 8, 2020
Artificial Intelligence Solutions for Analysis of X-ray ImagesScott J Adams, Robert D E Henderson, Xin Yi, et al.
The Journal of Physical Chemistry. A|November 21, 2007
Ground state potential energy curve and dissociation energy of MgHAlireza Shayesteh, Robert D E Henderson, Robert J Le Roy, et al.
Nanomaterials (Basel, Switzerland)|April 12, 2024
Nanoscale Structure of Lipid-Gemini Surfactant Mixed Monolayers Resolved with AFM and KPFM MicroscopyRobert D E Henderson, Nanqin Mei, Yue Xu, et al.
Pediatric Radiology|April 23, 2022
Pediatric chest radiograph interpretation: how far has artificial intelligence come? A systematic literature reviewSirwa Padash, Mohammad Reza Mohebbian, Scott J Adams, et al.
American Journal of Perinatology|July 26, 2023
Neonatal Catheter and Tube Placement and Radiographic Assessment Statistics in Relation to Important Anatomic LandmarksRobert D E Henderson, Sirwa Padash, Scott J Adams, et al.
Nanoscale|December 25, 2015
Nanogenerators based on vertically aligned InN nanowiresGuocheng Liu, Songrui Zhao, Robert D E Henderson, et al.
The Journal of Physical Chemistry. A|October 8, 2013
Accurate analytic potential and Born-Oppenheimer breakdown functions for MgH and MgD from a direct-potential-fit data analysisRobert D E Henderson, Alireza Shayesteh, Jason Tao, et al.
Pageof 2

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

Sort By:
Pageof 2
Soft Matter|December 21, 2020
Kelvin probe force microscopy to study electrostatic interactions of DNA with lipid-gemini surfactant monolayers for gene deliveryRobert D E Henderson, Carina T Filice, Shawn Wettig, et al.
Journal of Digital Imaging|June 26, 2021
Automatic Detection and Classification of Multiple Catheters in Neonatal Radiographs with Deep LearningRobert D E Henderson, Xin Yi, Scott J Adams, et al.
Radiology. Artificial Intelligence|May 3, 2021
Computer-aided Assessment of Catheters and Tubes on Radiographs: How Good Is Artificial Intelligence for Assessment?Xin Yi, Scott J Adams, Robert D E Henderson, et al.
Canadian Association of Radiologists Journal = Journal L'Association Canadienne Des Radiologistes|August 8, 2020
Artificial Intelligence Solutions for Analysis of X-ray ImagesScott J Adams, Robert D E Henderson, Xin Yi, et al.
The Journal of Physical Chemistry. A|November 21, 2007
Ground state potential energy curve and dissociation energy of MgHAlireza Shayesteh, Robert D E Henderson, Robert J Le Roy, et al.
Nanomaterials (Basel, Switzerland)|April 12, 2024
Nanoscale Structure of Lipid-Gemini Surfactant Mixed Monolayers Resolved with AFM and KPFM MicroscopyRobert D E Henderson, Nanqin Mei, Yue Xu, et al.
Pediatric Radiology|April 23, 2022
Pediatric chest radiograph interpretation: how far has artificial intelligence come? A systematic literature reviewSirwa Padash, Mohammad Reza Mohebbian, Scott J Adams, et al.
American Journal of Perinatology|July 26, 2023
Neonatal Catheter and Tube Placement and Radiographic Assessment Statistics in Relation to Important Anatomic LandmarksRobert D E Henderson, Sirwa Padash, Scott J Adams, et al.
Nanoscale|December 25, 2015
Nanogenerators based on vertically aligned InN nanowiresGuocheng Liu, Songrui Zhao, Robert D E Henderson, et al.
The Journal of Physical Chemistry. A|October 8, 2013
Accurate analytic potential and Born-Oppenheimer breakdown functions for MgH and MgD from a direct-potential-fit data analysisRobert D E Henderson, Alireza Shayesteh, Jason Tao, et al.
Pageof 2