S. Reuzé

Data driven gating and motion correction for low-statistics PET imaging: Application to 90Y SIRT dosimetry

A. Serieyssol, S. Reuzé, F. Jansen, Kuan-Hao Su +4 more

20232023 IEEE Nuclear Science Symposium, Medical Imaging Conference and International Symposium on Room-Temperature Semiconductor Detectors (NSS MIC RTSD)1 citations

Semantic Scholar

S. Reuzé

Most-cited papers

LIFEx: A Freeware for Radiomic Feature Calculation in Multimodality Imaging to Accelerate Advances in the Characterization of Tumor Heterogeneity.

Promises and challenges for the implementation of computational medical imaging (radiomics) in oncology

Standardization of brain MR images across machines and protocols: bridging the gap for MRI-based radiomics

Prediction of cervical cancer recurrence using textural features extracted from 18F-FDG PET images acquired with different scanners

The complexity of tumor shape, spiculatedness, correlates with tumor radiomic shape features

Radiomics in Nuclear Medicine Applied to Radiation Therapy: Methods, Pitfalls, and Challenges.

Influence of Magnetic Field Strength on Magnetic Resonance Imaging Radiomics Features in Brain Imaging, an In Vitro and In Vivo Study

Dosimetry-driven quality measure of brain pseudo Computed Tomography generated from deep learning for MRI-only radiotherapy treatment planning.

A score combining baseline neutrophilia and primary tumor SUVpeak measured from FDG PET is associated with outcome in locally advanced cervical cancer

Development of a Machine Learning Classifier Based on Radiomic Features Extracted From Post-Contrast 3D T1-Weighted MR Images to Distinguish Glioblastoma From Solitary Brain Metastasis

In Regard to Mattonen et al.

Increased bone marrow SUVmax on 18F-FDG PET is associated with higher pelvic treatment failure in patients with cervical cancer treated by chemoradiotherapy and brachytherapy

[Computational medical imaging (radiomics) and potential for immuno-oncology].

PH-0532: Standardization of brain MRI across machines and protocols: bridging the gap for MRI-based radiomics

Data driven gating and motion correction for low-statistics PET imaging: Application to 90Y SIRT dosimetry

PV-0528: An innovative MRI harmonization method allowing large scale radiomics analysis in glioblastoma

OC-0394: Pretreatment bone marrow SUVmax in locally advanced cervical cancer: a novel prognostic biomarker?

A Score Combining SUV peak of the Primary Tumor Computed on Pretreatment FDG-PET Scans and Neutrophilia Predicts Outcome in Locally Advanced Cervical Cancer

Prediction of cervical cancer recurrence using textural features calculated from 18F-FDG PET images

Automatisation du traitement des images acquises pour la détermination des sites de séquestration des plaquettes

Prediction of brain metastases progression and overall survival in patients with metastatic non-small cell lung cancer treated by immune checkpoint inhibitors using a radiomic model.

EP-1993: Evaluation of the pertinence of CT-based radiomics shape features with 3D printed phantoms

EP-2100: Development of a filter-based method for multicenter PET image harmonization in radiomic studies

Abstract A051: Prediction of clinical outcomes of cancer patients treated with anti-PD-1/PD-L1 using a radiomics-based imaging score of immune infiltrate

PO-0807: Diversity of PET imaging biomarkers predicting cervical cancer treatment outcome: where do we stand?

Extraction et analyse de biomarqueurs issus des imageries TEP et IRM pour l'amélioration de la planification de traitement en radiothérapie

OC-0075: A MRI radiomic signature for predicting brachytherapy outcomes in locally advanced cervical cancer

28 An MRI radiomic signature for predicting brachytherapy outcomes in locally advanced cervical cancer

Assessment of clinical, radiological and radiomic predictive factors of bevacizumab efficacy in brain metastases radionecrosis treatment.

Extraction et analyse de biomarqueurs issus des imageries TEP et IRM pour l'amélioration de la planification de traitement en radiothérapie

Assessment of efficacy and safety of bevacizumab in the treatment of brain metastases radionecrosis: A retrospective cohort analysis.

PO-0628: Correlation between 18F-FDOPA uptake and tumor relapse in recurrent high-grade gliomas

Iconographies supplémentaires de l'article : Imagerie médicale computationnelle (radiomique) et potentiel en immuno-oncologie

EP-1692: Multi-device textural analysis on 18F-FDG PET images for predicting cervical cancer recurrence

1632PDA novel radiomic based imaging tool to monitor tumor lymphocyte infiltration and outcome of patients treated by anti-PD-1/PD-L1

27. Harmonization of 18F-FDG PET images for multicenter radiomic studies

An advanced tumor shape radiomic signature predicts recurrence of locally advanced (LA) HNSCC patients (pts)