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Geert Litjens

Showing results (71-80 of 80) with videos related to

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Medical Image Analysis|January 15, 2014
Evaluation of prostate segmentation algorithms for MRI: the PROMISE12 challengeGeert Litjens, Robert Toth, Wendy van de Ven, et al.
IEEE Journal of Biomedical and Health Informatics|November 20, 2020
Deep Learning Methods for Lung Cancer Segmentation in Whole-Slide Histopathology Images-The ACDC@LungHP Challenge 2019Zhang Li, Jiehua Zhang, Tao Tan, et al.
The Lancet. Oncology|November 23, 2025
Artificial intelligence and radiologists in pancreatic cancer detection using standard of care CT scans (PANORAMA): an international, paired, non-inferiority, confirmatory, observational studyNatalia Alves, Megan Schuurmans, Dawid Rutkowski, et al.
IEEE Transactions on Medical Imaging|February 5, 2019
From Detection of Individual Metastases to Classification of Lymph Node Status at the Patient Level: The CAMELYON17 ChallengePeter Bandi, Oscar Geessink, Quirine Manson, et al.
Nature Medicine|January 14, 2022
Artificial intelligence for diagnosis and Gleason grading of prostate cancer: the PANDA challengeWouter Bulten, Kimmo Kartasalo, Po-Hsuan Cameron Chen, et al.
Nature Communications|July 15, 2022
The Medical Segmentation DecathlonMichela Antonelli, Annika Reinke, Spyridon Bakas, et al.
Nature Methods|February 12, 2024
Understanding metric-related pitfalls in image analysis validationAnnika Reinke, Minu D Tizabi, Michael Baumgartner, 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.
Nature Methods|February 12, 2024
Metrics reloaded: recommendations for image analysis validationLena Maier-Hein, Annika Reinke, Patrick Godau, et al.
Arxiv|March 22, 2023
Understanding metric-related pitfalls in image analysis validationAnnika Reinke, Minu D Tizabi, Michael Baumgartner, et al.
Pageof 8

Showing results (71-80 of 80) with videos related to

Sort By:
Pageof 8
You have reached the last page of results.This site can display upto 80 results.
Medical Image Analysis|January 15, 2014
Evaluation of prostate segmentation algorithms for MRI: the PROMISE12 challengeGeert Litjens, Robert Toth, Wendy van de Ven, et al.
IEEE Journal of Biomedical and Health Informatics|November 20, 2020
Deep Learning Methods for Lung Cancer Segmentation in Whole-Slide Histopathology Images-The ACDC@LungHP Challenge 2019Zhang Li, Jiehua Zhang, Tao Tan, et al.
The Lancet. Oncology|November 23, 2025
Artificial intelligence and radiologists in pancreatic cancer detection using standard of care CT scans (PANORAMA): an international, paired, non-inferiority, confirmatory, observational studyNatalia Alves, Megan Schuurmans, Dawid Rutkowski, et al.
IEEE Transactions on Medical Imaging|February 5, 2019
From Detection of Individual Metastases to Classification of Lymph Node Status at the Patient Level: The CAMELYON17 ChallengePeter Bandi, Oscar Geessink, Quirine Manson, et al.
Nature Medicine|January 14, 2022
Artificial intelligence for diagnosis and Gleason grading of prostate cancer: the PANDA challengeWouter Bulten, Kimmo Kartasalo, Po-Hsuan Cameron Chen, et al.
Nature Communications|July 15, 2022
The Medical Segmentation DecathlonMichela Antonelli, Annika Reinke, Spyridon Bakas, et al.
Nature Methods|February 12, 2024
Understanding metric-related pitfalls in image analysis validationAnnika Reinke, Minu D Tizabi, Michael Baumgartner, 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.
Nature Methods|February 12, 2024
Metrics reloaded: recommendations for image analysis validationLena Maier-Hein, Annika Reinke, Patrick Godau, et al.
Arxiv|March 22, 2023
Understanding metric-related pitfalls in image analysis validationAnnika Reinke, Minu D Tizabi, Michael Baumgartner, et al.
Pageof 8