6 Result(s)
within
Mohammed R. S. Sunoqrot
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Article
Open AccessThe impact of pre-processing and disease characteristics on reproducibility of T2-weighted MRI radiomics features
To evaluate the reproducibility of radiomics features derived via different pre-processing settings from paired T2-weighted imaging (T2WI) prostate lesions acquired within a short interval, to select the setti...
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Article
Open AccessLabel-set impact on deep learning-based prostate segmentation on MRI
Prostate segmentation is an essential step in computer-aided detection and diagnosis systems for prostate cancer. Deep learning (DL)-based methods provide good performance for prostate gland and zones segmenta...
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Article
Open AccessArtificial intelligence for prostate MRI: open datasets, available applications, and grand challenges
Artificial intelligence (AI) for prostate magnetic resonance imaging (MRI) is starting to play a clinical role for prostate cancer (PCa) patients. AI-assisted reading is feasible, allowing workflow reduction. ...
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Article
Open AccessPseudo-T2 map** for normalization of T2-weighted prostate MRI
Signal intensity normalization is necessary to reduce heterogeneity in T2-weighted (T2W) magnetic resonance imaging (MRI) for quantitative analysis of multicenter data. AutoRef is an automated dual-reference t...
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Article
Open AccessAutomated reference tissue normalization of T2-weighted MR images of the prostate using object recognition
To develop and evaluate an automated method for prostate T2-weighted (T2W) image normalization using dual-reference (fat and muscle) tissue.
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Protocol
High Resolution Microultrasound (μUS) Investigation of the Gastrointestinal (GI) Tract
High resolution, microultrasound (μUS) scanning of the gastrointestinal (GI) tract has potential as an important transmural imaging modality to aid in diagnosis. Operating at higher frequencies than convention...
