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K H Andersen

Showing results (41-50 of 54) with videos related to

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The Review of Scientific Instruments|October 5, 2013
Generalization of the classical xyz-polarization analysis technique to out-of-plane and inelastic scatteringG Ehlers, J R Stewart, A R Wildes, et al.
Acta Ophthalmologica|October 19, 2024
Grading of diabetic retinopathy using a pre-segmenting deep learning classification model: Validation of an automated algorithmDyllan Edson Similié, Jakob K H Andersen, Sebastian Dinesen, et al.
Advanced Materials (Deerfield Beach, Fla.)|March 3, 2020
Metasurface-Enabled Generation of Circularly Polarized Single PhotonsYinhui Kan, Sebastian K H Andersen, Fei Ding, et al.
Translational Vision Science & Technology|June 22, 2022
Automatic Detection of Abnormalities and Grading of Diabetic Retinopathy in 6-Field Retinal Images: Integration of Segmentation Into ClassificationJakob K H Andersen, Martin S Hubel, Malin L Rasmussen, et al.
Ophthalmology. Retina|April 25, 2019
Deep Learning-Based Algorithms in Screening of Diabetic Retinopathy: A Systematic Review of Diagnostic PerformanceKatrine B Nielsen, Mie L Lautrup, Jakob K H Andersen, et al.
The Review of Scientific Instruments|October 3, 2019
Disentangling time-focusing from beam divergence: A novel approach for high-flux thermal neutron spectroscopy at continuous and long-pulse sourcesM Zanatta, K H Andersen, P P Deen, et al.
Nature|March 27, 2001
Pattern formation: Instabilities in sand ripplesJ L Hansen, M van Hecke, A Haaning, et al.
Physical Review Letters|November 3, 2001
Stability balloon for two-dimensional vortex ripple patternsJ L Hansen, M van Hecke, C Ellegaard, et al.
Ecology|February 25, 2016
Adult and offspring size in the ocean over 17 orders of magnitude follows two life history strategiesA B Neuheimer, M Hartvig, J Heuschele, et al.
Ophthalmology and Therapy|March 27, 2025
A Deep Learning Segmentation Model for Detection of Active Proliferative Diabetic RetinopathySebastian Dinesen, Marianne G Schou, Christoffer V Hedegaard, et al.
Pageof 6

Showing results (41-50 of 54) with videos related to

Sort By:
Pageof 6
The Review of Scientific Instruments|October 5, 2013
Generalization of the classical xyz-polarization analysis technique to out-of-plane and inelastic scatteringG Ehlers, J R Stewart, A R Wildes, et al.
Acta Ophthalmologica|October 19, 2024
Grading of diabetic retinopathy using a pre-segmenting deep learning classification model: Validation of an automated algorithmDyllan Edson Similié, Jakob K H Andersen, Sebastian Dinesen, et al.
Advanced Materials (Deerfield Beach, Fla.)|March 3, 2020
Metasurface-Enabled Generation of Circularly Polarized Single PhotonsYinhui Kan, Sebastian K H Andersen, Fei Ding, et al.
Translational Vision Science & Technology|June 22, 2022
Automatic Detection of Abnormalities and Grading of Diabetic Retinopathy in 6-Field Retinal Images: Integration of Segmentation Into ClassificationJakob K H Andersen, Martin S Hubel, Malin L Rasmussen, et al.
Ophthalmology. Retina|April 25, 2019
Deep Learning-Based Algorithms in Screening of Diabetic Retinopathy: A Systematic Review of Diagnostic PerformanceKatrine B Nielsen, Mie L Lautrup, Jakob K H Andersen, et al.
The Review of Scientific Instruments|October 3, 2019
Disentangling time-focusing from beam divergence: A novel approach for high-flux thermal neutron spectroscopy at continuous and long-pulse sourcesM Zanatta, K H Andersen, P P Deen, et al.
Nature|March 27, 2001
Pattern formation: Instabilities in sand ripplesJ L Hansen, M van Hecke, A Haaning, et al.
Physical Review Letters|November 3, 2001
Stability balloon for two-dimensional vortex ripple patternsJ L Hansen, M van Hecke, C Ellegaard, et al.
Ecology|February 25, 2016
Adult and offspring size in the ocean over 17 orders of magnitude follows two life history strategiesA B Neuheimer, M Hartvig, J Heuschele, et al.
Ophthalmology and Therapy|March 27, 2025
A Deep Learning Segmentation Model for Detection of Active Proliferative Diabetic RetinopathySebastian Dinesen, Marianne G Schou, Christoffer V Hedegaard, et al.
Pageof 6