stephanie nougaret

Institut de Recherche en Cancérologie de Montpellier

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Articles (20)

Collaborators (3)

Anthony DOHAN

Professeur de Radiologie

Université Paris-Saclay

Aradhana Venkatesan

The University of Texas MD Anderson Cancer Center

UNITED STATES

Cathal McCague

University of Cambridge

UNITED KINGDOM

stephanie nougaret

Research Interests

Explore related searches

Contact this professor

Articles (20)

Collaborators (3)

Anthony DOHAN

Aradhana Venkatesan

Cathal McCague

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stephanie nougaret

Research Interests

Explore related searches

Contact this professor

Articles (20)

CT and MRI of abdominal cancers: current trends and perspectives in the era of radiomics and artificial intelligence

Apparent diffusion coefficient analysis of solid tissue helps distinguish borderline from invasive malignant adnexal masses rated O-RADS MRI 4

Correction to: Endometriosis MR mimickers: T2-hypointense lesions (Insights into Imaging, (2024), 15, 1, (20), 10.1186/s13244-023-01588-2)

ESR Essentials: characterisation and staging of adnexal masses with MRI and CT—practice recommendations by ESUR

Endometriosis MR mimickers: T1-hyperintense lesions

Endometriosis MR mimickers: T2-hypointense lesions

Imaging in pelvic exenteration—a multidisciplinary practice guide from the ESGAR-SAR-ESUR-PelvEx collaborative group

O-RADS MRI risk stratification system: pearls and pitfalls

Outcomes and potential impact of a virtual hands-on training program on MRI staging confidence and performance in rectal cancer

Perceptions of radiologists on structured reporting for cancer imaging—a survey by the European Society of Oncologic Imaging (ESOI)

Benign Uterine Disease: The Added Role of Imaging.

Radiomics and radiogenomics in ovarian cancer: a literature review.

Machine learning-based prediction of microsatellite instability and high tumor mutation burden from contrast-enhanced computed tomography in endometrial cancers.

Krukenberg Tumors: Update on Imaging and Clinical Features.

Krukenberg Tumors: Update on Imaging and Clinical Features

T2-Hypointense Adnexal Lesions: An Imaging Algorithm.

Radiomic ADC Metrics as a Tool to Better Understand Tumor Biology.

Integration of proteomics with CT-based qualitative and radiomic features in high-grade serous ovarian cancer patients: an exploratory analysis.

Patient preparation and image quality in female pelvic MRI: recommendations revisited.

Quantification of liver fat content in liver and primary liver lesions using triple-echo-gradient-echo MRI.

Collaborators (3)

Anthony DOHAN

Aradhana Venkatesan

Cathal McCague

How do I reach out?

Meet Kite AI