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Grzegorz Chlebus

Showing results (1-10 of 6) with videos related to

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Scientific Reports|October 21, 2018
Automatic liver tumor segmentation in CT with fully convolutional neural networks and object-based postprocessingGrzegorz Chlebus, Andrea Schenk, Jan Hendrik Moltz, et al.
Plos One|May 21, 2019
Reducing inter-observer variability and interaction time of MR liver volumetry by combining automatic CNN-based liver segmentation and manual correctionsGrzegorz Chlebus, Hans Meine, Smita Thoduka, et al.
Scientific Reports|July 19, 2022
Improving automatic liver tumor segmentation in late-phase MRI using multi-model training and 3D convolutional neural networksAnnika Hänsch, Grzegorz Chlebus, Hans Meine, et al.
Journal of the American College of Radiology : JACR|July 30, 2020
Three-Dimensional Neural Network to Automatically Assess Liver Tumor Burden Change on Consecutive Liver MRIsAlexander Goehler, Tzu-Ming Harry Hsu, Ronilda Lacson, et al.
Computer Methods and Programs in Biomedicine|November 21, 2020
Anisotropic 3D Multi-Stream CNN for Accurate Prostate Segmentation from Multi-Planar MRIAnneke Meyer, Grzegorz Chlebus, Marko Rak, et al.
Medical Image Analysis|December 8, 2022
The Liver Tumor Segmentation Benchmark (LiTS)Patrick Bilic, Patrick Christ, Hongwei Bran Li, et al.
Pageof 1

Showing results (1-10 of 6) with videos related to

Sort By:
Pageof 1
Scientific Reports|October 21, 2018
Automatic liver tumor segmentation in CT with fully convolutional neural networks and object-based postprocessingGrzegorz Chlebus, Andrea Schenk, Jan Hendrik Moltz, et al.
Plos One|May 21, 2019
Reducing inter-observer variability and interaction time of MR liver volumetry by combining automatic CNN-based liver segmentation and manual correctionsGrzegorz Chlebus, Hans Meine, Smita Thoduka, et al.
Scientific Reports|July 19, 2022
Improving automatic liver tumor segmentation in late-phase MRI using multi-model training and 3D convolutional neural networksAnnika Hänsch, Grzegorz Chlebus, Hans Meine, et al.
Journal of the American College of Radiology : JACR|July 30, 2020
Three-Dimensional Neural Network to Automatically Assess Liver Tumor Burden Change on Consecutive Liver MRIsAlexander Goehler, Tzu-Ming Harry Hsu, Ronilda Lacson, et al.
Computer Methods and Programs in Biomedicine|November 21, 2020
Anisotropic 3D Multi-Stream CNN for Accurate Prostate Segmentation from Multi-Planar MRIAnneke Meyer, Grzegorz Chlebus, Marko Rak, et al.
Medical Image Analysis|December 8, 2022
The Liver Tumor Segmentation Benchmark (LiTS)Patrick Bilic, Patrick Christ, Hongwei Bran Li, et al.
Pageof 1