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Profil bibliographique

Stephanie Vincent-Sheldon

Informations fournies par OpenAlex. Research Africa ne déduit ni nationalité, ni poste, ni coordonnées personnelles.

11Publications signalées
45Citations signalées
1Affiliations récentes

Les institutions déclarées

Les domaines associés

Prostate Cancer Treatment and ResearchRadiomics and Machine Learning in Medical ImagingProstate Cancer Diagnosis and TreatmentMRI in cancer diagnosisInflammatory Bowel Disease

Les publications récentes

Accès ouvert 2026 preprint OpenAlex

Radio-pathomic maps of histo-morphometric features trained with whole mount prostate histology distinguish prostate cancer on MP-MRI

Savannah Duenweg, Samuel R Bobholz, Allison Lowman, Aleksandra Winiarz et autres

Background: Prostate cancer (PCa) is the most prevalent male cancer in the U.S., accounting for 29% of new cancer diagnoses. Multiparametric MRI (MP-MRI), including T2-weighted imaging (T2WI) and apparent diffusion coefficient (ADC) maps, is an effective tool for detecting PCa; however, accuracy …

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0 citations medRxiv
2025 conference-paper OpenAlex

Radio-pathomic maps of histo-morphometric features trained with whole mount prostate histology distinguish prostate cancer on MP-MRI

Savannah Duenweg, Samuel Bobholz, Allison Lowman, Aleksandra Winiarz et autres

Motivation: Prostate cancer is the most common male cancer in the U.S. MP-MRI is effective at aiding diagnosis, however, it may yield false positive results or miss small lesions. Goal(s): This study used MP-MRI intensities as input to machine learning models to …

0 citations Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Accès ouvert 2025 article OpenAlex

Comparison of intensity normalization methods in prostate, brain, and breast cancer multi-parametric magnetic resonance imaging

Savannah Duenweg, Samuel Bobholz, Allison Lowman, Aleksandra Winiarz et autres

Objectives: Intensity variation in multi-parametric magnetic resonance imaging (MP-MRI) is a confounding factor in MRI analyses. Previous studies have employed several normalization methods, but there is a lack of consensus on which method results in the most comparable images across vendors and …

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4 citations Frontiers in Oncology
Accès ouvert 2024 preprint OpenAlex

Comparison of intensity normalization methods in prostate, brain, and breast cancer multi-parametric magnetic resonance imaging

Savannah Duenweg, Samuel Bobholz, Allison Lowman, Aleksandra Winiarz et autres

Abstract Intensity variation in multi-parametric magnetic resonance imaging (MP-MRI) poses challenges for MRI analyses. Previous studies have employed several normalization methods, but a lack of consensus on which results in the most comparable images exists. This study analyzed MP-MRI data from patients …

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0 citations Research Square
2023 article OpenAlex

Study Guide for “ADC Values for Detecting Bowel Inflammation and Biologic Therapy Response in Patients With Crohn Disease: A Post Hoc Prospective Trial Analysis”

Stephanie Vincent-Sheldon, Joseph J. Budovec, Alan P. Mautz

This Journal Club Study Guide relates to ADC Values for Detecting Bowel Inflammation and Biologic Therapy Response in Patients With Crohn Disease: A Post Hoc Prospective Trial Analysis.

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0 citations American Journal of Roentgenology
Accès ouvert 2023 article OpenAlex

T2-Weighted MRI Radiomic Features Predict Prostate Cancer Presence and Eventual Biochemical Recurrence

Savannah Duenweg, Samuel Bobholz, Michael Barrett, Allison Lowman et autres

Prostate cancer (PCa) is the most diagnosed non-cutaneous cancer in men. Despite therapies such as radical prostatectomy, which is considered curative, distant metastases may form, resulting in biochemical recurrence (BCR). This study used radiomic features calculated from multi-parametric magnetic resonance imaging (MP-MRI) …

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17 citations Cancers
Accès ouvert 2023 preprint OpenAlex

T2-weighted MRI Radiomic Features Predict Prostate Cancer Presence and Eventual Biochemical Recurrence

Savannah Duenweg, Samuel Bobholz, Michael Barrett, Allison Lowman et autres

Prostate cancer (PCa) is the most diagnosed non-cutaneous cancer in men. Despite therapies such as radical prostatectomy, which is considered curative, distant metastases may form resulting in biochemical recurrence (BCR). This study used radiomic features calculated from multi-parametric magnetic resonance imaging (MP-MRI) …

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9 citations Preprints.org
Accès ouvert 2017 article OpenAlex

Evaluation of a projection-domain lung nodule insertion technique in thoracic computed tomography

Chi Ma, Lifeng Yu, Baiyu Chen, Chi Wan Koo et autres

Task-based assessment of computed tomography (CT) image quality requires a large number of cases with ground truth. Prospective case acquisition can be time-consuming. Inserting lesions into existing cases to simulate positive cases is a promising alternative. The aim was to evaluate a …

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9 citations Journal of medical imaging

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