Michel Meignan
researcher
Facts
7 properties- Instance of
- human
- Occupation
- researcher
- Educated at
- Paris 12 University[3]
- Imported from
- wholeness_audit_2026-05-02
🏷️ Also known as
en Michel Meignan
🔖 Identifiers · 5
- ISNI
- 0000000139658465
- ORCID iD
- 0000-0001-5071-3330
- VIAF cluster ID
- 216247268
- OpenAlex ID
- A5014639728as of 2026-09-23
where from?
- Source
- OpenAlex
- Edition
- 20260923 · as of 2026-09-23
- Licence
- CC0 1.0 Universal
- Bronze
- not in the catalog
- Transform
- 4ort-mint · openalex:20260923 · version not recorded
- IdRef ID
- 111747384
📜 Data licence
Source: OpenAlex (openalex.org), snapshot of 2026-09-23. CC0 1.0 Universal. CC0 1.0 Universal · OpenAlex
🔗 Connections
Affiliated with 7
Author of 7
A Guide to ComBat Harmonization of Imaging Biomarkers in Multicenter Studies,
Baseline Total Metabolic Tumor Volume Measured with Fixed or Different Adaptive Thresholding Methods Equally Predicts Outcome in Peripheral T Cell Lymphoma,
Deep Learning Approach to Automatize TMTV Calculations Regardless of Segmentation Methodology for Major FDG-Avid Lymphomas,
Deep-Learning <sup>18</sup>F-FDG Uptake Classification Enables Total Metabolic Tumor Volume Estimation in Diffuse Large B-Cell Lymphoma,
Fully automatic segmentation of diffuse large B cell lymphoma lesions on 3D FDG-PET/CT for total metabolic tumour volume prediction using a convolutional neural network.,
Hierarchies and shape-space for pet image segmentation,
New Approaches in Characterization of Lesions Dissemination in DLBCL Patients on Baseline PET/CT
← Authored by 7
A Guide to ComBat Harmonization of Imaging Biomarkers in Multicenter Studies,
Baseline Total Metabolic Tumor Volume Measured with Fixed or Different Adaptive Thresholding Methods Equally Predicts Outcome in Peripheral T Cell Lymphoma,
Deep Learning Approach to Automatize TMTV Calculations Regardless of Segmentation Methodology for Major FDG-Avid Lymphomas,
Deep-Learning <sup>18</sup>F-FDG Uptake Classification Enables Total Metabolic Tumor Volume Estimation in Diffuse Large B-Cell Lymphoma,
Fully automatic segmentation of diffuse large B cell lymphoma lesions on 3D FDG-PET/CT for total metabolic tumour volume prediction using a convolutional neural network.,
Hierarchies and shape-space for pet image segmentation,
New Approaches in Characterization of Lesions Dissemination in DLBCL Patients on Baseline PET/CT
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