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Ben Asani
Ben Asani
Ludwig Maximilian University of Munich
Medicine
Retinal
Deep learning
Diabetic retinopathy
Artificial intelligence
4
Papers
21
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3D Heads-Up Display vs. Standard Operating Microscope Vitrectomy for Rhegmatogenous Retinal Detachment.
2020
Frontiers in Medicine
Ben Asani
Jakob Siedlecki
Benedikt Schworm
Wolfgang J. Mayer
Thomas C. Kreutzer
Nikolaus Luft
Siegfried G. Priglinger
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Self-supervised retinal thickness prediction enables deep learning from unlabelled data to boost classification of diabetic retinopathy
2020
Nature Machine Intelligence
Olle G. Holmberg
Niklas D. Köhler
Thiago Gonçalves dos Santos Martins
Jakob Siedlecki
Tina Herold
Leonie Keidel
Ben Asani
Johannes Schiefelbein
Siegfried G. Priglinger
Karsten Kortuem
Fabian J. Theis
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Citations (15)
Self-supervised retinal thickness prediction enables deep learning from unlabeled data to boost classification of diabetic retinopathy
2019
bioRxiv
Olle G. Holmberg
Niklas D. Koehler
Thiago Gonçalves dos Santos Martins
Jakob Siedlecki
Tina Herold
Leonie Keidel
Ben Asani
Johannes Schiefelbein
Siegfried G. Priglinger
Karsten Kortuem
Fabian J. Theis
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Citations (2)
Combined VEGF/PDGF inhibition using axitinib induces αSMA expression and a pro-fibrotic phenotype in human pericytes
2018
Graefes Archive for Clinical and Experimental Ophthalmology
Jakob Siedlecki
Ben Asani
Christian Wertheimer
Anna Hillenmayer
Andreas Ohlmann
Claudia Priglinger
Siegfried G. Priglinger
Armin Wolf
Kirsten Eibl-Lindner
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Citations (4)
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