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DeepOrgan: Multi-level Deep Convolutional Networks for Automated Pancreas Segmentation.

, , , , , , и . MICCAI (1), том 9349 из Lecture Notes in Computer Science, стр. 556-564. Springer, (2015)

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Holger Roth

Holger Roth

Holger Roth

Christiane Roth

Eosinophile Fasziitis: Metaanalyse von Daten und Vergleich mit Dresdner Patienten. TU Dresden, (2009)

Claudia Regina Roth

Die Veränderung der linksventrikulären Auswurffraktion und ihre Beziehung zur Infarktgröße nach akutem Myokardinfarkt. TU München, (2009)
 

Другие публикации лиц с тем же именем

A Bottom-Up Approach for Pancreas Segmentation Using Cascaded Superpixels and (Deep) Image Patch Labeling., , , , , и . IEEE Trans. Image Processing, 26 (1): 386-399 (2017)On the influence of Dice loss function in multi-class organ segmentation of abdominal CT using 3D fully convolutional networks., , , , , , и . CoRR, (2018)Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning., , , , , , , , и . CoRR, (2016)Abdominal artery segmentation method from CT volumes using fully convolutional neural network., , , , , и . Int. J. Comput. Assist. Radiol. Surg., 14 (12): 2069-2081 (2019)Three Aspects on Using Convolutional Neural Networks for Computer-Aided Detection in Medical Imaging., , , , , , , , и . Deep Learning and Convolutional Neural Networks for Medical Image Computing, Springer, (2017)Joint Multi Organ and Tumor Segmentation from Partial Labels Using Federated Learning., , , , , , , , , и 2 other автор(ы). DeCaF/FAIR@MICCAI, том 13573 из Lecture Notes in Computer Science, стр. 58-67. Springer, (2022)ConDistFL: Conditional Distillation for Federated Learning from Partially Annotated Data., , , , , , и . ISIC/Care-AI/MedAGI/DeCaF@MICCAI, том 14393 из Lecture Notes in Computer Science, стр. 311-321. Springer, (2023)Multi-atlas Segmentation with Joint Label Fusion of Osteoporotic Vertebral Compression Fractures on CT., , , , и . CSI@MICCAI, том 9402 из Lecture Notes in Computer Science, стр. 74-84. Springer, (2015)Fair Federated Medical Image Segmentation via Client Contribution Estimation., , , , , , , , и . CVPR, стр. 16302-16311. IEEE, (2023)Unsupervised segmentation of 3D medical images based on clustering and deep representation learning., , , , , , и . Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging, том 10578 из SPIE Proceedings, стр. 1057820. SPIE, (2018)