Article

A cross-modal generative model for incomplete and degraded prostate MRI with multicentre clinical validation

2026-08-18

Abstract excerpt

Missing or degraded sequences can limit prostate multiparametric MRI. We developed MSCNet, a sequence-conditioned cross-modal generative framework for reconstructing unavailable contrasts and restoring degraded acquisitions. Across ten completion tasks, task-specific MSCNet achieved mean structural similarity of 0.818 versus 0.798 for the strongest task-matched comparators; matched-capacity analyses showed larger...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: b7369803-af28-5e17-a075-1e740fca926e
DOI: 10.64898/2026.08.16.745066

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

A cross-modal generative model for incomplete and degraded prostate MRI with multicentre clinical validationDOI 10.64898/2026.08.16.745066Read

Transformer-Enhanced Generative Adversarial Networks for Improving MR Image Quality in Prostate ImagingSemantic proximity Read

Generative Adversarial Networks Can Create High Quality Artificial Prostate Cancer Magnetic Resonance ImagesSemantic proximity Read

Achieving Diagnostic-Quality Rapid PSMA PET Across Scanners and Tracers with a Generative Adversarial NetworkSemantic proximity Read

Synthesizing Contrast-Enhanced T1 MR Image Using Multiparametric Sequences and Attention to Brain TumorSemantic proximity Read

CT-to-MRI Synthesis with Dual CycleGAN: Advancing Radiotherapy Planning in Brain Glioblastoma MultiformSemantic proximity Read

Denoising 7T Structural MRI with Conditional Generative Diffusion ModelsSemantic proximity Read

From Structure to Function and Back Again: A GAN-Guided Diffusion Framework for Generating Clinically Meaningful Multimodal Neuroimaging DataSemantic proximity Read

Deep-Learning-Based Generation of Synthetic High-Resolution MRI from Low-Resolution MRI for Use in Head and Neck Cancer Adaptive RadiotherapySemantic proximity Read

Synthetic Genitourinary Image Synthesis via Generative Adversarial Networks: Enhancing AI Diagnostic PrecisionSemantic proximity Read

Comparative Evaluation of U-Net-Based Conditioned Diffusion Model and Cycle-GAN for Unpaired CT-MRI Brain Image Synthesis with XAI ValidationSemantic proximity Read

Multi-contrast high-field quality image synthesis for portable low-field MRI using generative adversarial networks and paired dataSemantic proximity Read

Enhancing MR imaging driven Alzheimer’s disease classification performance using generative adversarial learningSemantic proximity Read