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Showing results (131-140 of 142) with videos related to

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Investigative Radiology|June 26, 2023
Development and Evaluation of Machine Learning in Whole-Body Magnetic Resonance Imaging for Detecting Metastases in Patients With Lung or Colon Cancer: A Diagnostic Test Accuracy StudyAndrea G Rockall, Xingfeng Li, Nicholas Johnson, et al.
Medical Image Analysis|July 22, 2017
Validation, comparison, and combination of algorithms for automatic detection of pulmonary nodules in computed tomography images: The LUNA16 challengeArnaud Arindra Adiyoso Setio, Alberto Traverso, Thomas de Bel, et al.
Medical Image Analysis|December 20, 2025
Extreme cardiac MRI analysis under respiratory motion: Results of the CMRxMotion challengeKang Wang, Chen Qin, Zhang Shi, et al.
Medical Image Analysis|March 8, 2023
Comparative validation of machine learning algorithms for surgical workflow and skill analysis with the HeiChole benchmarkMartin Wagner, Beat-Peter Müller-Stich, Anna Kisilenko, et al.
Medical Image Analysis|November 21, 2023
Where is VALDO? VAscular Lesions Detection and segmentatiOn challenge at MICCAI 2021Carole H Sudre, Kimberlin Van Wijnen, Florian Dubost, et al.
IEEE Transactions on Medical Imaging|December 8, 2025
Towards Modality- and Sampling-Universal Learning Strategies for Accelerating Cardiovascular Imaging: Summary of the CMRxRecon2024 ChallengeFanwen Wang, Zi Wang, Yan Li, et al.
JAMA|December 14, 2017
Diagnostic Assessment of Deep Learning Algorithms for Detection of Lymph Node Metastases in Women With Breast CancerBabak Ehteshami Bejnordi, Mitko Veta, Paul Johannes van Diest, et al.
Arxiv|May 4, 2026
Current validation practice undermines surgical AI developmentAnnika Reinke, Ziying O Li, Minu D Tizabi, et al.
Medical Image Analysis|December 8, 2022
The Liver Tumor Segmentation Benchmark (LiTS)Patrick Bilic, Patrick Christ, Hongwei Bran Li, et al.
Nature Communications|December 5, 2022
Federated learning enables big data for rare cancer boundary detectionSarthak Pati, Ujjwal Baid, Brandon Edwards, et al.
Pageof 15

Showing results (131-140 of 142) with videos related to

Sort By:
Pageof 15
Investigative Radiology|June 26, 2023
Development and Evaluation of Machine Learning in Whole-Body Magnetic Resonance Imaging for Detecting Metastases in Patients With Lung or Colon Cancer: A Diagnostic Test Accuracy StudyAndrea G Rockall, Xingfeng Li, Nicholas Johnson, et al.
Medical Image Analysis|July 22, 2017
Validation, comparison, and combination of algorithms for automatic detection of pulmonary nodules in computed tomography images: The LUNA16 challengeArnaud Arindra Adiyoso Setio, Alberto Traverso, Thomas de Bel, et al.
Medical Image Analysis|December 20, 2025
Extreme cardiac MRI analysis under respiratory motion: Results of the CMRxMotion challengeKang Wang, Chen Qin, Zhang Shi, et al.
Medical Image Analysis|March 8, 2023
Comparative validation of machine learning algorithms for surgical workflow and skill analysis with the HeiChole benchmarkMartin Wagner, Beat-Peter Müller-Stich, Anna Kisilenko, et al.
Medical Image Analysis|November 21, 2023
Where is VALDO? VAscular Lesions Detection and segmentatiOn challenge at MICCAI 2021Carole H Sudre, Kimberlin Van Wijnen, Florian Dubost, et al.
IEEE Transactions on Medical Imaging|December 8, 2025
Towards Modality- and Sampling-Universal Learning Strategies for Accelerating Cardiovascular Imaging: Summary of the CMRxRecon2024 ChallengeFanwen Wang, Zi Wang, Yan Li, et al.
JAMA|December 14, 2017
Diagnostic Assessment of Deep Learning Algorithms for Detection of Lymph Node Metastases in Women With Breast CancerBabak Ehteshami Bejnordi, Mitko Veta, Paul Johannes van Diest, et al.
Arxiv|May 4, 2026
Current validation practice undermines surgical AI developmentAnnika Reinke, Ziying O Li, Minu D Tizabi, et al.
Medical Image Analysis|December 8, 2022
The Liver Tumor Segmentation Benchmark (LiTS)Patrick Bilic, Patrick Christ, Hongwei Bran Li, et al.
Nature Communications|December 5, 2022
Federated learning enables big data for rare cancer boundary detectionSarthak Pati, Ujjwal Baid, Brandon Edwards, et al.
Pageof 15