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Event-Based Modeling with High-Dimensional Imaging Biomarkers for Estimating Spatial Progression of Dementia.

V. Venkatraghavan, F. Dubost, E. Bron, W. Niessen, M. de Bruijne, and S. Klein. IPMI, volume 11492 of Lecture Notes in Computer Science, page 169-180. Springer, (2019)

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Florian Weiss

PD Dr. -Ing. Florian Bauer University of Stuttgart

Florian Helber University of Stuttgart

Florian Seibold University of Stuttgart

Florian Reichelt University of Stuttgart

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Enlarged perivascular spaces in brain MRI: Automated quantification in four regions.F. Dubost, P. Yilmaz, H. Adams, G. Bortsova, M. Ikram, W. Niessen, M. Vernooij, and M. de Bruijne. NeuroImage, (2019)Event-Based Modeling with High-Dimensional Imaging Biomarkers for Estimating Spatial Progression of Dementia.V. Venkatraghavan, F. Dubost, E. Bron, W. Niessen, M. de Bruijne, and S. Klein. IPMI, volume 11492 of Lecture Notes in Computer Science, page 169-180. Springer, (2019)APIR-Net: Autocalibrated Parallel Imaging Reconstruction using a Neural Network.C. Zhang, F. Dubost, M. de Bruijne, S. Klein, and D. Poot. CoRR, (2019)Automated Lesion Detection by Regressing Intensity-Based Distance with a Neural Network.K. van Wijnen, F. Dubost, P. Yilmaz, M. Ikram, W. Niessen, H. Adams, M. Vernooij, and M. de Bruijne. MICCAI (4), volume 11767 of Lecture Notes in Computer Science, page 234-242. Springer, (2019)3D Regression Neural Network for the Quantification of Enlarged Perivascular Spaces in Brain MRI.F. Dubost, H. Adams, G. Bortsova, M. Ikram, W. Niessen, M. Vernooij, and M. de Bruijne. CoRR, (2018)Weakly Supervised Object Detection with 2D and 3D Regression Neural Networks.F. Dubost, H. Adams, P. Yilmaz, G. Bortsova, G. van Tulder, M. Ikram, W. Niessen, M. Vernooij, and M. de Bruijne. CoRR, (2019)Deep Learning from Label Proportions for Emphysema Quantification.G. Bortsova, F. Dubost, S. Ørting, I. Katramados, L. Hogeweg, L. Thomsen, M. Wille, and M. de Bruijne. MICCAI (2), volume 11071 of Lecture Notes in Computer Science, page 768-776. Springer, (2018)GP-Unet: Lesion Detection from Weak Labels with a 3D Regression Network.F. Dubost, G. Bortsova, H. Adams, M. Ikram, W. Niessen, M. Vernooij, and M. de Bruijne. MICCAI (3), volume 10435 of Lecture Notes in Computer Science, page 214-221. Springer, (2017)Patient-Specific Conditional Joint Models of Shape, Image Features and Clinical Indicators.B. Egger, M. Schirmer, F. Dubost, M. Nardin, N. Rost, and P. Golland. MICCAI (4), volume 11767 of Lecture Notes in Computer Science, page 93-101. Springer, (2019)Quantification of Lung Abnormalities in Cystic Fibrosis using Deep Networks.F. Marques, F. Dubost, M. van de Corput, H. Tiddens, and M. de Bruijne. CoRR, (2018)