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Markus D Herrmann

Showing results (11-20 of 24) with videos related to

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American Journal of Clinical Pathology|December 8, 2022
Volumetric Tissue Imaging of Surgical Tissue Specimens Using Micro-Computed Tomography: An Emerging Digital Pathology Modality for Nondestructive, Slide-Free Microscopy-Clinical Applications of Digital Pathology in 3 DimensionsAndreas S Papazoglou, Efstratios Karagiannidis, Alexandros Liatsos, et al.
Diagnostics (Basel, Switzerland)|November 27, 2021
Volumetric Imaging of Lung Tissue at Micrometer Resolution: Clinical Applications of Micro-CT for the Diagnosis of Pulmonary DiseasesAndreana Bompoti, Andreas S Papazoglou, Dimitrios V Moysidis, et al.
Journal of Pathology Informatics|October 12, 2020
A Regulatory Science Initiative to Harmonize and Standardize Digital Pathology and Machine Learning Processes to Speed up Clinical Innovation to PatientsHetal Desai Marble, Richard Huang, Sarah Nixon Dudgeon, et al.
JCO Clinical Cancer Informatics|May 12, 2020
Quantitative Imaging Informatics for Cancer ResearchAndrey Fedorov, Reinhard Beichel, Jayashree Kalpathy-Cramer, et al.
Journal of Pathology Informatics|December 9, 2021
A Pathologist-Annotated Dataset for Validating Artificial Intelligence: A Project Description and Pilot StudySarah N Dudgeon, Si Wen, Matthew G Hanna, et al.
Radiographics : a Review Publication of the Radiological Society of North America, Inc|November 24, 2023
National Cancer Institute Imaging Data Commons: Toward Transparency, Reproducibility, and Scalability in Imaging Artificial IntelligenceAndrey Fedorov, William J R Longabaugh, David Pot, et al.
Archives of Pathology & Laboratory Medicine|December 2, 2023
Recommendations for Performance Evaluation of Machine Learning in Pathology: A Concept Paper From the College of American PathologistsMatthew G Hanna, Niels H Olson, Mark Zarella, et al.
Nature Methods|September 1, 2017
Data-analysis strategies for image-based cell profilingJuan C Caicedo, Sam Cooper, Florian Heigwer, et al.
Journal of Pathology Informatics|December 12, 2018
Implementing the DICOM Standard for Digital PathologyMarkus D Herrmann, David A Clunie, Andriy Fedorov, et al.
Cancer Research|June 29, 2021
NCI Imaging Data CommonsAndrey Fedorov, William J R Longabaugh, David Pot, et al.
Pageof 3

Showing results (11-20 of 24) with videos related to

Sort By:
Pageof 3
American Journal of Clinical Pathology|December 8, 2022
Volumetric Tissue Imaging of Surgical Tissue Specimens Using Micro-Computed Tomography: An Emerging Digital Pathology Modality for Nondestructive, Slide-Free Microscopy-Clinical Applications of Digital Pathology in 3 DimensionsAndreas S Papazoglou, Efstratios Karagiannidis, Alexandros Liatsos, et al.
Diagnostics (Basel, Switzerland)|November 27, 2021
Volumetric Imaging of Lung Tissue at Micrometer Resolution: Clinical Applications of Micro-CT for the Diagnosis of Pulmonary DiseasesAndreana Bompoti, Andreas S Papazoglou, Dimitrios V Moysidis, et al.
Journal of Pathology Informatics|October 12, 2020
A Regulatory Science Initiative to Harmonize and Standardize Digital Pathology and Machine Learning Processes to Speed up Clinical Innovation to PatientsHetal Desai Marble, Richard Huang, Sarah Nixon Dudgeon, et al.
JCO Clinical Cancer Informatics|May 12, 2020
Quantitative Imaging Informatics for Cancer ResearchAndrey Fedorov, Reinhard Beichel, Jayashree Kalpathy-Cramer, et al.
Journal of Pathology Informatics|December 9, 2021
A Pathologist-Annotated Dataset for Validating Artificial Intelligence: A Project Description and Pilot StudySarah N Dudgeon, Si Wen, Matthew G Hanna, et al.
Radiographics : a Review Publication of the Radiological Society of North America, Inc|November 24, 2023
National Cancer Institute Imaging Data Commons: Toward Transparency, Reproducibility, and Scalability in Imaging Artificial IntelligenceAndrey Fedorov, William J R Longabaugh, David Pot, et al.
Archives of Pathology & Laboratory Medicine|December 2, 2023
Recommendations for Performance Evaluation of Machine Learning in Pathology: A Concept Paper From the College of American PathologistsMatthew G Hanna, Niels H Olson, Mark Zarella, et al.
Nature Methods|September 1, 2017
Data-analysis strategies for image-based cell profilingJuan C Caicedo, Sam Cooper, Florian Heigwer, et al.
Journal of Pathology Informatics|December 12, 2018
Implementing the DICOM Standard for Digital PathologyMarkus D Herrmann, David A Clunie, Andriy Fedorov, et al.
Cancer Research|June 29, 2021
NCI Imaging Data CommonsAndrey Fedorov, William J R Longabaugh, David Pot, et al.
Pageof 3