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Bram van Ginneken

Showing results (1-10 of 317) with videos related to

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Radiology|November 14, 2018
Deep Learning for Triage of Chest Radiographs: Should Every Institution Train Its Own System?Bram van Ginneken
Radiological Physics and Technology|February 18, 2017
Fifty years of computer analysis in chest imaging: rule-based, machine learning, deep learningBram van Ginneken
Radiology|November 25, 2020
The Potential of Artificial Intelligence to Analyze Chest Radiographs for Signs of COVID-19 PneumoniaBram van Ginneken
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|March 16, 2007
Supervised probabilistic segmentation of pulmonary nodules in CT scansBram van Ginneken
Radiology|September 6, 2022
Tuberculosis Detection from Chest Radiographs: Stop Training Radiologists NowBram van Ginneken
Nature Reviews. Clinical Oncology|June 29, 2019
Google's lung cancer AI: a promising tool that needs further validationColin Jacobs, Bram van Ginneken
IEEE Transactions on Medical Imaging|May 13, 2006
Segmentation of the posterior ribs in chest radiographs using iterated contextual pixel classificationMarco Loog, Bram van Ginneken
Medical Physics|November 4, 2008
Anniversary paper: image processing and manipulation through the pages of Medical PhysicsSamuel G Armato, Bram van Ginneken
European Journal of Radiology|July 17, 2009
Computer-aided diagnosis in chest radiography: beyond nodulesBram van Ginneken, Laurens Hogeweg, Mathias Prokop
IEEE Transactions on Pattern Analysis and Machine Intelligence|August 27, 2020
Streaming Convolutional Neural Networks for End-to-End Learning With Multi-Megapixel ImagesHans Pinckaers, Bram van Ginneken, Geert Litjens
Pageof 32

Showing results (1-10 of 317) with videos related to

Sort By:
Pageof 32
Radiology|November 14, 2018
Deep Learning for Triage of Chest Radiographs: Should Every Institution Train Its Own System?Bram van Ginneken
Radiological Physics and Technology|February 18, 2017
Fifty years of computer analysis in chest imaging: rule-based, machine learning, deep learningBram van Ginneken
Radiology|November 25, 2020
The Potential of Artificial Intelligence to Analyze Chest Radiographs for Signs of COVID-19 PneumoniaBram van Ginneken
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|March 16, 2007
Supervised probabilistic segmentation of pulmonary nodules in CT scansBram van Ginneken
Radiology|September 6, 2022
Tuberculosis Detection from Chest Radiographs: Stop Training Radiologists NowBram van Ginneken
Nature Reviews. Clinical Oncology|June 29, 2019
Google's lung cancer AI: a promising tool that needs further validationColin Jacobs, Bram van Ginneken
IEEE Transactions on Medical Imaging|May 13, 2006
Segmentation of the posterior ribs in chest radiographs using iterated contextual pixel classificationMarco Loog, Bram van Ginneken
Medical Physics|November 4, 2008
Anniversary paper: image processing and manipulation through the pages of Medical PhysicsSamuel G Armato, Bram van Ginneken
European Journal of Radiology|July 17, 2009
Computer-aided diagnosis in chest radiography: beyond nodulesBram van Ginneken, Laurens Hogeweg, Mathias Prokop
IEEE Transactions on Pattern Analysis and Machine Intelligence|August 27, 2020
Streaming Convolutional Neural Networks for End-to-End Learning With Multi-Megapixel ImagesHans Pinckaers, Bram van Ginneken, Geert Litjens
Pageof 32