Improved unsupervised physics‐informed deep learning for intravoxel incoherent motion modeling and evaluation in pancreatic cancer patients-Reference-Cited by-同舟云学术

Improved unsupervised physics‐informed deep learning for intravoxel incoherent motion modeling and evaluation in pancreatic cancer patients

Published:2021-06-09 Issue:4 Volume:86 Page:2250-2265
ISSN:0740-3194
Container-title:Magnetic Resonance in Medicine
language:en
Short-container-title:Magn. Reson. Med.

Author:

Kaandorp Misha P. T.¹²³^ORCID,Barbieri Sebastiano⁴^ORCID,Klaassen Remy⁵,Laarhoven Hanneke W. M.⁵^ORCID,Crezee Hans¹,While Peter T.²³^ORCID,Nederveen Aart J.¹,Gurney‐Champion Oliver J.¹^ORCID

Affiliation:

1. Department of Radiology and Nuclear Medicine Cancer Center Amsterdam, Amsterdam UMC, University of Amsterdam Amsterdam the Netherlands

2. Department of Radiology and Nuclear Medicine St. Olav’s University Hospital Trondheim Norway

3. Department of Circulation and Medical Imaging NTNU – Norwegian University of Science and Technology Trondheim Norway

4. Centre for Big Data Research in Health UNSW Sydney Australia

5. Department of Medical Oncology Cancer Center Amsterdam, Amsterdam UMC, University of Amsterdam Amsterdam the Netherlands

Funder

KWF Kankerbestrijding

Norges Forskningsråd

Publisher

Wiley

Subject

Radiology, Nuclear Medicine and imaging

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/mrm.28852

Reference53 articles.

1. Separation of diffusion and perfusion in intravoxel incoherent motion MR imaging.

2. Intravoxel incoherent motion (IVIM) histogram biomarkers for prediction of neoadjuvant treatment response in breast cancer patients

3. Ror2 signaling regulates Golgi structure and transport through IFT20 for tumor invasiveness

4. Quantitative parameters of intravoxel incoherent motion diffusion weighted imaging (IVIM-DWI): potential application in predicting pathological grades of pancreatic ductal adenocarcinoma

5. Pathological validation and prognostic potential of quantitative MRI in the characterization of pancreas cancer: preliminary experience

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