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Thomas Schlegl

Showing results (1-10 of 24) with videos related to

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Frontiers in Artificial Intelligence|May 1, 2024
A data-driven approach for the partial reconstruction of individual human molar teeth using generative deep learningAlexander Broll, Martin Rosentritt, Thomas Schlegl, et al.
European Radiology Experimental|April 19, 2020
Deep learning detection and quantification of pneumothorax in heterogeneous routine chest computed tomographySebastian Röhrich, Thomas Schlegl, Constanze Bardach, et al.
Medical Image Analysis|March 5, 2019
f-AnoGAN: Fast unsupervised anomaly detection with generative adversarial networksThomas Schlegl, Philipp Seeböck, Sebastian M Waldstein, et al.
Studies in Health Technology and Informatics|June 25, 2020
Multivariable Risk Prediction of Dysphagia in Hospitalized Patients Using Machine LearningAnna Maria Lienhart, Diether Kramer, Stefanie Jauk, et al.
Information Processing in Medical Imaging : Proceedings of the ... Conference|July 30, 2015
Predicting Semantic Descriptions from Medical Images with Convolutional Neural NetworksThomas Schlegl, Sebastian M Waldstein, Wolf-Dieter Vogl, et al.
Frontiers in Human Neuroscience|October 18, 2014
The relationship between eye movement and vision develops before birthVeronika Schöpf, Thomas Schlegl, Andras Jakab, et al.
Investigative Ophthalmology & Visual Science|August 25, 2017
Analyzing and Predicting Visual Acuity Outcomes of Anti-VEGF Therapy by a Longitudinal Mixed Effects Model of Imaging and Clinical DataWolf-Dieter Vogl, Sebastian M Waldstein, Bianca S Gerendas, et al.
Vision Research|April 24, 2017
Computational image analysis for prognosis determination in DMEBianca S Gerendas, Hrvoje Bogunovic, Amir Sadeghipour, et al.
Wiener Medizinische Wochenschrift (1946)|January 29, 2016
Musculoskeletal imaging in preventive medicineFranz Kainberger, Anna L Falkowski, Lena Hirtler, et al.
Scientific Reports|January 6, 2026
Applicability study of AI attribution methods for ophthalmic image classificationAli Yavari, Tilman Schmoll, Rainer A Leitgeb, et al.
Pageof 3

Showing results (1-10 of 24) with videos related to

Sort By:
Pageof 3
Frontiers in Artificial Intelligence|May 1, 2024
A data-driven approach for the partial reconstruction of individual human molar teeth using generative deep learningAlexander Broll, Martin Rosentritt, Thomas Schlegl, et al.
European Radiology Experimental|April 19, 2020
Deep learning detection and quantification of pneumothorax in heterogeneous routine chest computed tomographySebastian Röhrich, Thomas Schlegl, Constanze Bardach, et al.
Medical Image Analysis|March 5, 2019
f-AnoGAN: Fast unsupervised anomaly detection with generative adversarial networksThomas Schlegl, Philipp Seeböck, Sebastian M Waldstein, et al.
Studies in Health Technology and Informatics|June 25, 2020
Multivariable Risk Prediction of Dysphagia in Hospitalized Patients Using Machine LearningAnna Maria Lienhart, Diether Kramer, Stefanie Jauk, et al.
Information Processing in Medical Imaging : Proceedings of the ... Conference|July 30, 2015
Predicting Semantic Descriptions from Medical Images with Convolutional Neural NetworksThomas Schlegl, Sebastian M Waldstein, Wolf-Dieter Vogl, et al.
Frontiers in Human Neuroscience|October 18, 2014
The relationship between eye movement and vision develops before birthVeronika Schöpf, Thomas Schlegl, Andras Jakab, et al.
Investigative Ophthalmology & Visual Science|August 25, 2017
Analyzing and Predicting Visual Acuity Outcomes of Anti-VEGF Therapy by a Longitudinal Mixed Effects Model of Imaging and Clinical DataWolf-Dieter Vogl, Sebastian M Waldstein, Bianca S Gerendas, et al.
Vision Research|April 24, 2017
Computational image analysis for prognosis determination in DMEBianca S Gerendas, Hrvoje Bogunovic, Amir Sadeghipour, et al.
Wiener Medizinische Wochenschrift (1946)|January 29, 2016
Musculoskeletal imaging in preventive medicineFranz Kainberger, Anna L Falkowski, Lena Hirtler, et al.
Scientific Reports|January 6, 2026
Applicability study of AI attribution methods for ophthalmic image classificationAli Yavari, Tilman Schmoll, Rainer A Leitgeb, et al.
Pageof 3