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View article: Outcomes and recurrence pattern analysis of intensity modulated chemoradiotherapy in nasopharyngeal cancer: a retrospective study from Heidelberg University Hospital
Outcomes and recurrence pattern analysis of intensity modulated chemoradiotherapy in nasopharyngeal cancer: a retrospective study from Heidelberg University Hospital Open
Background To evaluate treatment outcomes, toxicity, and recurrence patterns by dose level in nasopharyngeal carcinoma (NPC) patients treated with intensity-modulated radiotherapy (IMRT) and weekly cisplatin. Methods We retrospectively ana…
View article: Improving risk stratification of PI-RADS 3 + 1 lesions of the peripheral zone: expert lexicon of terms, multi-reader performance and contribution of artificial intelligence
Improving risk stratification of PI-RADS 3 + 1 lesions of the peripheral zone: expert lexicon of terms, multi-reader performance and contribution of artificial intelligence Open
Background According to PI-RADS v2.1, peripheral PI-RADS 3 lesions are upgraded to PI-RADS 4 if dynamic contrast-enhanced MRI is positive (3+1 lesions), however those lesions are radiologically challenging. We aimed to define criteria by e…
View article: Enhancing the diagnostic capacity of [18F]PSMA-1007 PET/MRI in primary prostate cancer staging with artificial intelligence and semi-quantitative DCE: an exploratory study
Enhancing the diagnostic capacity of [18F]PSMA-1007 PET/MRI in primary prostate cancer staging with artificial intelligence and semi-quantitative DCE: an exploratory study Open
Background To investigate the ability of artificial intelligence (AI)-based and semi-quantitative dynamic contrast enhanced (DCE) multiparametric MRI (mpMRI), performed within [ 18 F]-PSMA-1007 PET/MRI, in differentiating benign from malig…
View article: Addressing image misalignments in multi-parametric prostate MRI for enhanced computer-aided diagnosis of prostate cancer
Addressing image misalignments in multi-parametric prostate MRI for enhanced computer-aided diagnosis of prostate cancer Open
Prostate cancer (PCa) diagnosis on multi-parametric magnetic resonance images (MRI) requires radiologists with a high level of expertise. Misalignments between the MRI sequences can be caused by patient movement, elastic soft-tissue deform…
View article: Anatomy-informed Data Augmentation for Enhanced Prostate Cancer Detection
Anatomy-informed Data Augmentation for Enhanced Prostate Cancer Detection Open
Data augmentation (DA) is a key factor in medical image analysis, such as in prostate cancer (PCa) detection on magnetic resonance images. State-of-the-art computer-aided diagnosis systems still rely on simplistic spatial transformations t…
View article: Application of a validated prostate MRI deep learning system to independent same-vendor multi-institutional data: demonstration of transferability
Application of a validated prostate MRI deep learning system to independent same-vendor multi-institutional data: demonstration of transferability Open
Objectives To evaluate a fully automatic deep learning system to detect and segment clinically significant prostate cancer (csPCa) on same-vendor prostate MRI from two different institutions not contributing to training of the system. Mate…
View article: Weakly Supervised <scp>MRI</scp> Slice‐Level Deep Learning Classification of Prostate Cancer Approximates Full Voxel‐ and Slice‐Level Annotation: Effect of Increasing Training Set Size
Weakly Supervised <span>MRI</span> Slice‐Level Deep Learning Classification of Prostate Cancer Approximates Full Voxel‐ and Slice‐Level Annotation: Effect of Increasing Training Set Size Open
Background Weakly supervised learning promises reduced annotation effort while maintaining performance. Purpose To compare weakly supervised training with full slice‐wise annotated training of a deep convolutional classification network (C…