Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Cognolato, Francesco"'
Autor:
Cognolato, Francesco, O'Brien, Kieran, Jin, Jin, Robinson, Simon, Laun, Frederik B., Barth, Markus, Bollmann, Steffen
Deep learning based Quantitative Susceptibility Mapping (QSM) has shown great potential in recent years, obtaining similar results to established non-learning approaches. Many current deep learning approaches are not data consistent, require in vivo
Externí odkaz:
http://arxiv.org/abs/2107.07752
Autor:
Cognolato, Francesco, O’Brien, Kieran, Jin, Jin, Robinson, Simon, Laun, Frederik B., Barth, Markus, Bollmann, Steffen
Publikováno v:
In Medical Image Analysis February 2023 84
Autor:
Siyu Liu, Shaw, Thomas, Vaibhavi Sanjeet Itkyal, Cognolato, Francesco, Bernier, Michaël, Mattern, Hendrik, Speck, Oliver, Barth, Markus, Chandra, Shekhar Suresh, Polimeni, Jonathan R., Bollmann, Saskia
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::578133e2c3cf2366f9c14f3e6fd60726
Autor:
Xu M; School of Electrical Engineering and Computer Science, The University of Queensland, Brisbane, QLD, Australia., Ribeiro FL; School of Electrical Engineering and Computer Science, The University of Queensland, Brisbane, QLD, Australia., Barth M; School of Electrical Engineering and Computer Science, The University of Queensland, Brisbane, QLD, Australia., Bernier M; Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, USA.; Department of Radiology, Harvard Medical School, Boston, MA, USA., Bollmann S; School of Electrical Engineering and Computer Science, The University of Queensland, Brisbane, QLD, Australia.; Queensland Digital Health Centre, The University of Queensland, Brisbane, QLD, Australia., Chatterjee S; Department of Biomedical Magnetic Resonance, Institute of Experimental Physics, Otto-von-Guericke-University, Magdeburg, ST, Germany.; Data and Knowledge Engineering Group, Faculty of Computer Science, Otto von Guericke University Magdeburg, ST, Germany.; Genomics Research Centre, Human Technopole, Milan, LOM, Italy., Cognolato F; Centre for Advanced Imaging, The University of Queensland, Brisbane, QLD, Australia.; ARC Training Centre for Innovation in Biomedical Imaging Technology, The University of Queensland, Brisbane, QLD, Australia., Gulban OF; Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, LI, Netherlands.; Brain Innovation, Maastricht, LI, Netherlands., Itkyal V; Department of Biotechnology, Indian Institute of Technology, Madras, TN, India., Liu S; School of Electrical Engineering and Computer Science, The University of Queensland, Brisbane, QLD, Australia.; Australian eHealth Research Centre, CSIRO, Herston, QLD, Australia., Mattern H; Department of Biomedical Magnetic Resonance, Institute of Experimental Physics, Otto-von-Guericke-University, Magdeburg, ST, Germany.; German Center for Neurodegenerative Diseases, Magdeburg, ST, Germany.; Center for Behavioral Brain Sciences, Magdeburg, ST, Germany., Polimeni JR; Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, USA.; Department of Radiology, Harvard Medical School, Boston, MA, USA.; Harvard-MIT Program Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, MA, USA., Shaw TB; School of Electrical Engineering and Computer Science, The University of Queensland, Brisbane, QLD, Australia., Speck O; Department of Biomedical Magnetic Resonance, Institute of Experimental Physics, Otto-von-Guericke-University, Magdeburg, ST, Germany.; German Center for Neurodegenerative Diseases, Magdeburg, ST, Germany.; Center for Behavioral Brain Sciences, Magdeburg, ST, Germany., Bollmann S; School of Electrical Engineering and Computer Science, The University of Queensland, Brisbane, QLD, Australia.
Publikováno v:
BioRxiv : the preprint server for biology [bioRxiv] 2024 May 22. Date of Electronic Publication: 2024 May 22.