Deep learning reconstruction for accelerated 3-D magnetic resonance cholangiopancreatography

Jan M. Brendel; Reza Dehdab; Judith Herrmann; Stephan Ursprung; Sebastian Werner; Haidara Almansour; Elisabeth Weiland; Dominik Nickel; Konstantin Nikolaou; Saif Afat; Sebastian Gassenmaier

doi:10.1007/s11547-025-01987-z

JOURNAL ARTICLE

Deep learning reconstruction for accelerated 3-D magnetic resonance cholangiopancreatography

Jan M. Brendel Reza Dehdab Judith Herrmann Stephan Ursprung Sebastian Werner Haidara Almansour Elisabeth Weiland Dominik Nickel Konstantin Nikolaou Saif Afat Sebastian Gassenmaier

Year: 2025 Journal: La radiologia medica Vol: 130 (5)Pages: 714-722 Publisher: Springer Science+Business Media

DOI: 10.1007/s11547-025-01987-z

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Keywords:

Magnetic resonance cholangiopancreatography Medicine Magnetic resonance imaging Nuclear medicine Confidence interval Image quality Radiology Internal medicine Endoscopic retrograde cholangiopancreatography Artificial intelligence Pancreatitis Image (mathematics) Computer science

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Gallbladder and Bile Duct Disorders

Health Sciences → Medicine → Pulmonary and Respiratory Medicine

Advanced MRI Techniques and Applications

Health Sciences → Medicine → Radiology, Nuclear Medicine and Imaging

MRI in cancer diagnosis

Health Sciences → Medicine → Radiology, Nuclear Medicine and Imaging

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