Patrick F. Christ
Patrick F. Christ
Bestätigte E-Mail-Adresse bei
TitelZitiert vonJahr
Automatic liver and lesion segmentation in CT using cascaded fully convolutional neural networks and 3D conditional random fields
PF Christ, MEA Elshaer, F Ettlinger, S Tatavarty, M Bickel, P Bilic, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2016
Automatic liver and tumor segmentation of CT and MRI volumes using cascaded fully convolutional neural networks
PF Christ, F Ettlinger, F Grün, MEA Elshaera, J Lipkova, S Schlecht, ...
arXiv preprint arXiv:1702.05970, 2017
The liver tumor segmentation benchmark (lits)
P Bilic, PF Christ, E Vorontsov, G Chlebus, H Chen, Q Dou, CW Fu, X Han, ...
arXiv preprint arXiv:1901.04056, 2019
Automated whole-body bone lesion detection for multiple myeloma on 68Ga-Pentixafor PET/CT imaging using deep learning methods
L Xu, G Tetteh, J Lipkova, Y Zhao, H Li, P Christ, M Piraud, A Buck, K Shi, ...
Contrast media & molecular imaging 2018, 2018
A large annotated medical image dataset for the development and evaluation of segmentation algorithms
AL Simpson, M Antonelli, S Bakas, M Bilello, K Farahani, B van Ginneken, ...
arXiv preprint arXiv:1902.09063, 2019
SurvivalNet: Predicting patient survival from diffusion weighted magnetic resonance images using cascaded fully convolutional and 3D convolutional neural networks
PF Christ, F Ettlinger, G Kaissis, S Schlecht, F Ahmaddy, F Grün, ...
IEEE International Symposium on Biomedical Imaging 2017, 2017
Lits-liver tumor segmentation challenge
P Christ, F Ettlinger, F Grün, J Lipkova, G Kaissis
ISBI and MICCAI, 2017
Human-drone-interaction: A case study to investigate the relation between autonomy and user experience
PF Christ, F Lachner, A Hösl, B Menze, K Diepold, A Butz
European conference on computer vision, 238-253, 2016
Automatic liver and tumor segmentation of CT and MRI volumes using cascaded fully convolutional neural networks. 2017
PF Christ, F Ettlinger, F Grün
URL http://arxiv. org/abs/1702.05970. Cited on, 4, 0
Automated unsupervised segmentation of liver lesions in ct scans via cahn-hilliard phase separation
J Lipková, M Rempfler, P Christ, J Lowengrub, BH Menze
arXiv preprint arXiv:1704.02348, 2017
W-Net for Whole-Body Bone Lesion Detection on Ga-Pentixafor PET/CT Imaging of Multiple Myeloma Patients
L Xu, G Tetteh, M Mustafa, J Lipkova, Y Zhao, M Bieth, P Christ, M Piraud, ...
Molecular Imaging, Reconstruction and Analysis of Moving Body Organs, and …, 2017
Diabetes60 - Inferring Bread Units From Food Images Using Fully Convolutional Neural Networks
P F. Christ, S Schlecht, F Ettlinger, F Grun, C Heinle, S Tatavatry, ...
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017
Die Hauptkomponentenanalyse von ADC-Histogrammen als prädiktiver Faktor im HCC
G Kaissis, F Ettlinger, F Ahmaddy, P Chakrabarti, P Christ, B Menze, ...
RöFo-Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden …, 2017
Convolutional Neural Networks for Classification and Segmentation of Medical Images
PF Christ
Technische Universität München, 2017
Das System kann den Vorgang jetzt nicht ausführen. Versuchen Sie es später erneut.
Artikel 1–14