Emmanuel Itti
Researcher / author (OpenAlex)
Facts
2 properties- Affiliation
- Paris 12 University, Centre hospitalier Henri Mondor, University hospital of Henri-Mondoras 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
🔖 Identifiers · 2
- ORCID iD
- 0000-0003-1578-4058
- OpenAlex ID
- A5018129015, A5029790829, A5127982526as 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
📜 Data licence
Source: OpenAlex (openalex.org), snapshot of 2026-09-23. CC0 1.0 Universal. CC0 1.0 Universal · OpenAlex
🔗 Connections
Affiliated with 8
Author of 7
Assessing Cardiac Amyloidosis Subtypes by Unsupervised Phenotype Clustering Analysis,
Automatic lesion detection and segmentation of 18F-FET PET in gliomas: A full 3D U-Net convolutional neural network study,
Baseline Total Metabolic Tumor Volume Measured with Fixed or Different Adaptive Thresholding Methods Equally Predicts Outcome in Peripheral T Cell Lymphoma,
Chest <scp>PET</scp>/<scp>MRI</scp> in Solid Cancers: Comparing the Diagnostic Performance of a Free‐Breathing <scp>3D‐T1‐GRE</scp> Stack‐of‐Stars Volume Interpolated Breath‐Hold Examination (<scp>StarVIBE</scp>) Acquisition With That of a <scp>3D‐T1‐GRE</scp> Volume Interpolated Breath‐Hold Examination (<scp>VIBE</scp>) for Chest Staging During Whole‐Body <scp>PET</scp>/<scp>MRI</scp>,
Deep Learning on Bone Scintigraphy to Detect Abnormal Cardiac Uptake at Risk of Cardiac Amyloidosis,
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.,
Prognostic Value of<sup>18</sup>F-FDG PET Radiomics Features at Baseline in PET-Guided Consolidation Strategy in Diffuse Large B-Cell Lymphoma: A Machine-Learning Analysis from the GAINED Study
← Authored by 7
Assessing Cardiac Amyloidosis Subtypes by Unsupervised Phenotype Clustering Analysis,
Automatic lesion detection and segmentation of 18F-FET PET in gliomas: A full 3D U-Net convolutional neural network study,
Baseline Total Metabolic Tumor Volume Measured with Fixed or Different Adaptive Thresholding Methods Equally Predicts Outcome in Peripheral T Cell Lymphoma,
Chest <scp>PET</scp>/<scp>MRI</scp> in Solid Cancers: Comparing the Diagnostic Performance of a Free‐Breathing <scp>3D‐T1‐GRE</scp> Stack‐of‐Stars Volume Interpolated Breath‐Hold Examination (<scp>StarVIBE</scp>) Acquisition With That of a <scp>3D‐T1‐GRE</scp> Volume Interpolated Breath‐Hold Examination (<scp>VIBE</scp>) for Chest Staging During Whole‐Body <scp>PET</scp>/<scp>MRI</scp>,
Deep Learning on Bone Scintigraphy to Detect Abnormal Cardiac Uptake at Risk of Cardiac Amyloidosis,
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.,
Prognostic Value of<sup>18</sup>F-FDG PET Radiomics Features at Baseline in PET-Guided Consolidation Strategy in Diffuse Large B-Cell Lymphoma: A Machine-Learning Analysis from the GAINED Study
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Summary
Emmanuel Itti is a human[1].