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Holger R Roth

Showing results (1-10 of 49) with videos related to

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Radiology. Artificial Intelligence|December 16, 2022
Toward Foundational Deep Learning Models for Medical Imaging in the New Era of Transformer NetworksMartin J Willemink, Holger R Roth, Veit Sandfort
Annual Review of Biomedical Engineering|January 21, 2026
Federated Learning in Healthcare: From Research to Real-World DeploymentSpyridon Bakas, Xiaoxiao Li, Prashant Shah, et al.
IEEE Transactions on Medical Imaging|December 29, 2020
Diminishing Uncertainty Within the Training Pool: Active Learning for Medical Image SegmentationVishwesh Nath, Dong Yang, Bennett A Landman, et al.
International Journal of Computer Assisted Radiology and Surgery|September 8, 2019
Abdominal artery segmentation method from CT volumes using fully convolutional neural networkMasahiro Oda, Holger R Roth, Takayuki Kitasaka, et al.
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|November 11, 2016
A Bottom-Up Approach for Pancreas Segmentation Using Cascaded Superpixels and (Deep) Image Patch LabelingAmal Farag, Le Lu, Holger R Roth, et al.
International Journal of Computer Assisted Radiology and Surgery|December 24, 2021
A cascaded fully convolutional network framework for dilated pancreatic duct segmentationChen Shen, Holger R Roth, Yuichiro Hayashi, et al.
Medical Physics|August 28, 2021
Performance improvement of weakly supervised fully convolutional networks by skip connections for brain structure segmentationTakaaki Sugino, Holger R Roth, Masahiro Oda, et al.
JMIR AI|March 11, 2026
A Pragmatic Framework for Federated Learning Risk and Governance in Academic Medical CentersDaniel Bottomly, Bridget Barnes, Kuli Mavuwa, et al.
International Journal of Computer Assisted Radiology and Surgery|March 18, 2024
Anatomical attention can help to segment the dilated pancreatic duct in abdominal CTChen Shen, Holger R Roth, Yuichiro Hayashi, et al.
Journal of Biopharmaceutical Statistics|February 3, 2025
Overview of real-world applications of federated learning with NVIDIA FLAREHolger R Roth, Ziyue Xu, Chester Chen, et al.
Pageof 5

Showing results (1-10 of 49) with videos related to

Sort By:
Pageof 5
Radiology. Artificial Intelligence|December 16, 2022
Toward Foundational Deep Learning Models for Medical Imaging in the New Era of Transformer NetworksMartin J Willemink, Holger R Roth, Veit Sandfort
Annual Review of Biomedical Engineering|January 21, 2026
Federated Learning in Healthcare: From Research to Real-World DeploymentSpyridon Bakas, Xiaoxiao Li, Prashant Shah, et al.
IEEE Transactions on Medical Imaging|December 29, 2020
Diminishing Uncertainty Within the Training Pool: Active Learning for Medical Image SegmentationVishwesh Nath, Dong Yang, Bennett A Landman, et al.
International Journal of Computer Assisted Radiology and Surgery|September 8, 2019
Abdominal artery segmentation method from CT volumes using fully convolutional neural networkMasahiro Oda, Holger R Roth, Takayuki Kitasaka, et al.
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|November 11, 2016
A Bottom-Up Approach for Pancreas Segmentation Using Cascaded Superpixels and (Deep) Image Patch LabelingAmal Farag, Le Lu, Holger R Roth, et al.
International Journal of Computer Assisted Radiology and Surgery|December 24, 2021
A cascaded fully convolutional network framework for dilated pancreatic duct segmentationChen Shen, Holger R Roth, Yuichiro Hayashi, et al.
Medical Physics|August 28, 2021
Performance improvement of weakly supervised fully convolutional networks by skip connections for brain structure segmentationTakaaki Sugino, Holger R Roth, Masahiro Oda, et al.
JMIR AI|March 11, 2026
A Pragmatic Framework for Federated Learning Risk and Governance in Academic Medical CentersDaniel Bottomly, Bridget Barnes, Kuli Mavuwa, et al.
International Journal of Computer Assisted Radiology and Surgery|March 18, 2024
Anatomical attention can help to segment the dilated pancreatic duct in abdominal CTChen Shen, Holger R Roth, Yuichiro Hayashi, et al.
Journal of Biopharmaceutical Statistics|February 3, 2025
Overview of real-world applications of federated learning with NVIDIA FLAREHolger R Roth, Ziyue Xu, Chester Chen, et al.
Pageof 5