Thomas Schlegl
Thomas Schlegl
meduniwien.ac.at üzerinde doğrulanmış e-posta adresine sahip
Başlık
Alıntı yapanlar
Alıntı yapanlar
Yıl
Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery
T Schlegl, P Seeböck, SM Waldstein, U Schmidt-Erfurth, G Langs
International Conference on Information Processing in Medical Imaging, 146-157, 2017
6332017
Fully automated detection and quantification of macular fluid in OCT using deep learning
T Schlegl, SM Waldstein, H Bogunovic, F Endstraßer, A Sadeghipour, ...
Ophthalmology 125 (4), 549-558, 2018
1522018
f-AnoGAN: Fast unsupervised anomaly detection with generative adversarial networks
T Schlegl, P Seeböck, SM Waldstein, G Langs, U Schmidt-Erfurth
Medical image analysis 54, 30-44, 2019
892019
Predicting semantic descriptions from medical images with convolutional neural networks
T Schlegl, SM Waldstein, WD Vogl, U Schmidt-Erfurth, G Langs
International Conference on Information Processing in Medical Imaging, 437-448, 2015
832015
Prediction of Anti-VEGF Treatment Requirements in Neovascular AMD Using a Machine Learning Approach
H Bogunović, SM Waldstein, T Schlegl, G Langs, A Sadeghipour, X Liu, ...
Investigative Ophthalmology & Visual Science 58 (7), 3240-3248, 2017
622017
Machine learning to analyze the prognostic value of current imaging biomarkers in neovascular age-related macular degeneration
U Schmidt-Erfurth, H Bogunovic, A Sadeghipour, T Schlegl, G Langs, ...
Ophthalmology Retina 2 (1), 24-30, 2018
512018
Unsupervised pre-training across image domains improves lung tissue classification
T Schlegl, J Ofner, G Langs
International MICCAI Workshop on Medical Computer Vision, 82-93, 2014
492014
Unsupervised identification of disease marker candidates in retinal OCT imaging data
P Seeböck, SM Waldstein, S Klimscha, H Bogunovic, T Schlegl, ...
IEEE transactions on medical imaging 38 (4), 1037-1047, 2018
232018
Identifying and Categorizing Anomalies in Retinal Imaging Data
P Seeböck, S Waldstein, S Klimscha, BS Gerendas, R Donner, T Schlegl, ...
arXiv preprint arXiv:1612.00686, 2016
222016
The relationship between eye movement and vision develops before birth
V Schöpf, T Schlegl, A Jakab, G Kasprian, R Woitek, D Prayer, G Langs
Frontiers in human neuroscience 8, 775, 2014
192014
Analyzing and Predicting Visual Acuity Outcomes of Anti-VEGF Therapy by a Longitudinal Mixed Effects Model of Imaging and Clinical Data
WD Vogl, SM Waldstein, BS Gerendas, T Schlegl, G Langs, ...
Investigative Ophthalmology & Visual Science 58 (10), 4173-4181, 2017
162017
Unsupervised Identification of Clinically Relevant Clusters in Routine Imaging Data
J Hofmanninger, M Krenn, M Holzer, T Schlegl, H Prosch, G Langs
International Conference on Medical Image Computing and Computer-Assisted …, 2016
142016
Computational image analysis for prognosis determination in DME
BS Gerendas, H Bogunovic, A Sadeghipour, T Schlegl, G Langs, ...
Vision research 139, 204-210, 2017
112017
Exploiting epistemic uncertainty of anatomy segmentation for anomaly detection in retinal OCT
P Seeböck, JI Orlando, T Schlegl, SM Waldstein, H Bogunović, ...
IEEE transactions on medical imaging 39 (1), 87-98, 2019
92019
Spatial Correspondence Between Intraretinal Fluid, Subretinal Fluid, and Pigment Epithelial Detachment in Neovascular Age-Related Macular Degeneration
S Klimscha, SM Waldstein, T Schlegl, H Bogunović, A Sadeghipour, ...
Investigative Ophthalmology & Visual Science 58 (10), 4039-4048, 2017
92017
Fully Automated Segmentation of Hyperreflective Foci in Optical Coherence Tomography Images
T Schlegl, H Bogunovic, S Klimscha, P Seeböck, A Sadeghipour, ...
arXiv preprint arXiv:1805.03278, 2018
82018
Automatic segmentation and classification of intraretinal cystoid fluid and subretinal fluid in 3D-OCT using convolutional neural networks
T Schlegl, AM Glodan, D Podkowinski, SM Waldstein, BS Gerendas, ...
Investigative Ophthalmology & Visual Science 56 (7), 5920-5920, 2015
82015
A visual information retrieval system for radiology reports and the medical literature
D Markonis, R Donner, M Holzer, T Schlegl, S Dungs, S Kriewel, G Langs, ...
International Conference on Multimedia Modeling, 390-393, 2014
72014
Medical Computer Vision: Algorithms for Big Data
T Schlegl, J Ofner, G Langs
Springer, 2014
62014
Computerized device and method for processing image data
WD Vogl, T Schlegl, G Langs, U Schmidt-Erfurth, S Waldstein, ...
US Patent 10,687,711, 2020
22020
Sistem, işlemi şu anda gerçekleştiremiyor. Daha sonra yeniden deneyin.
Makaleler 1–20