Search Results - "Ettlinger, Florian"
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The Liver Tumor Segmentation Benchmark (LiTS)
Published in Medical image analysis (01-02-2023)“…In this work, we report the set-up and results of the Liver Tumor Segmentation Benchmark (LiTS), which was organized in conjunction with the IEEE International…”
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Journal Article -
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SurvivalNet: Predicting patient survival from diffusion weighted magnetic resonance images using cascaded fully convolutional and 3D Convolutional Neural Networks
Published in 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017) (01-04-2017)“…Automatic non-invasive assessment of hepatocellular carcinoma (HCC) malignancy has the potential to substantially enhance tumor treatment strategies for HCC…”
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Conference Proceeding -
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Diabetes60 - Inferring Bread Units From Food Images Using Fully Convolutional Neural Networks
Published in 2017 IEEE International Conference on Computer Vision Workshops (ICCVW) (01-10-2017)“…In this paper we propose a challenging new computer vision task of inferring Bread Units (BUs) from food images. Assessing nutritional information and nutrient…”
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Conference Proceeding -
4
The Liver Tumor Segmentation Benchmark (LiTS)
Published 25-11-2022“…Medical Image Analysis (2022) Pg. 102680 In this work, we report the set-up and results of the Liver Tumor Segmentation Benchmark (LiTS), which was organized…”
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Journal Article -
5
SurvivalNet: Predicting patient survival from diffusion weighted magnetic resonance images using cascaded fully convolutional and 3D convolutional neural networks
Published 20-02-2017“…Automatic non-invasive assessment of hepatocellular carcinoma (HCC) malignancy has the potential to substantially enhance tumor treatment strategies for HCC…”
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Journal Article -
6
Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional Neural Networks and 3D Conditional Random Fields
Published 07-10-2016“…Automatic segmentation of the liver and its lesion is an important step towards deriving quantitative biomarkers for accurate clinical diagnosis and…”
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Journal Article -
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Automatic Liver and Tumor Segmentation of CT and MRI Volumes using Cascaded Fully Convolutional Neural Networks
Published 20-02-2017“…Automatic segmentation of the liver and hepatic lesions is an important step towards deriving quantitative biomarkers for accurate clinical diagnosis and…”
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Journal Article