Hasil Pencarian - Rolf A Heckemann

  • Menampilkan 1 - 12 hasil dari 12
Perbaiki Hasil
  1. 1
    Editorial: Radiopharmaceuticals, Imaging Techniques and Clinical Applications in Neurodegenerative Diseases

    Editorial: Radiopharmaceuticals, Imaging Techniques and Clinical Applications in Neurodegenerative Diseases oleh Chuantao Zuo, Xiahai Zhuang, Rolf A. Heckemann, Fangyu Peng

    Diterbitkan 2019-09-01
    Dapatkan teks lengkap
    Artikel
    Simpan ke Daftar
    Disimpan di:
  2. 2
    Automatic brain lesion segmentation on standard magnetic resonance images: a scoping review

    Automatic brain lesion segmentation on standard magnetic resonance images: a scoping review oleh Justin Schneiderman, Rolf A Heckemann, Emilia Gryska, Isabella Björkman-Burtscher

    Diterbitkan 2021-01-01
    Dapatkan teks lengkap
    Artikel
    Simpan ke Daftar
    Disimpan di:
  3. 3
    Gyri of the human parietal lobe: Volumes, spatial extents, automatic labelling, and probabilistic atlases.

    Gyri of the human parietal lobe: Volumes, spatial extents, automatic labelling, and probabilistic atlases. oleh Heather M Wild, Rolf A Heckemann, Colin Studholme, Alexander Hammers

    Diterbitkan 2017-01-01
    Dapatkan teks lengkap
    Artikel
    Simpan ke Daftar
    Disimpan di:
  4. 4
    Deep learning for automatic brain tumour segmentation on MRI: evaluation of recommended reporting criteria via a reproduction and replication study

    Deep learning for automatic brain tumour segmentation on MRI: evaluation of recommended reporting criteria via a reproduction and replication study oleh Justin Schneiderman, Rolf A Heckemann, Emilia Gryska, Isabella Björkman-Burtscher, Asgeir Store Jakola, Tora Dunås

    Diterbitkan 2022-07-01
    Dapatkan teks lengkap
    Artikel
    Simpan ke Daftar
    Disimpan di:
  5. 5
    Correction: Brain Extraction Using Label Propagation and Group Agreement: Pincram.

    Correction: Brain Extraction Using Label Propagation and Group Agreement: Pincram. oleh Rolf A Heckemann, Christian Ledig, Katherine R Gray, Paul Aljabar, Daniel Rueckert, Joseph V Hajnal, Alexander Hammers

    Diterbitkan 2015-01-01
    Dapatkan teks lengkap
    Artikel
    Simpan ke Daftar
    Disimpan di:
  6. 6
    Brain Extraction Using Label Propagation and Group Agreement: Pincram.

    Brain Extraction Using Label Propagation and Group Agreement: Pincram. oleh Rolf A Heckemann, Christian Ledig, Katherine R Gray, Paul Aljabar, Daniel Rueckert, Joseph V Hajnal, Alexander Hammers

    Diterbitkan 2015-01-01
    Dapatkan teks lengkap
    Artikel
    Simpan ke Daftar
    Disimpan di:
  7. 7
    Classification and lateralization of temporal lobe epilepsies with and without hippocampal atrophy based on whole-brain automatic MRI segmentation.

    Classification and lateralization of temporal lobe epilepsies with and without hippocampal atrophy based on whole-brain automatic MRI segmentation. oleh Shiva Keihaninejad, Rolf A Heckemann, Ioannis S Gousias, Joseph V Hajnal, John S Duncan, Paul Aljabar, Daniel Rueckert, Alexander Hammers

    Diterbitkan 2012-01-01
    Dapatkan teks lengkap
    Artikel
    Simpan ke Daftar
    Disimpan di:
  8. 8
    Magnetic resonance imaging of the newborn brain: automatic segmentation of brain images into 50 anatomical regions.

    Magnetic resonance imaging of the newborn brain: automatic segmentation of brain images into 50 anatomical regions. oleh Ioannis S Gousias, Alexander Hammers, Serena J Counsell, Latha Srinivasan, Mary A Rutherford, Rolf A Heckemann, Jo V Hajnal, Daniel Rueckert, A David Edwards

    Diterbitkan 2013-01-01
    Dapatkan teks lengkap
    Artikel
    Simpan ke Daftar
    Disimpan di:
  9. 9
    Accuracy and precision of zero-echo-time, single- and multi-atlas attenuation correction for dynamic [11C]PE2I PET-MR brain imaging

    Accuracy and precision of zero-echo-time, single- and multi-atlas attenuation correction for dynamic [11C]PE2I PET-MR brain imaging oleh João M. Sousa, Lieuwe Appel, Inés Merida, Rolf A. Heckemann, Nicolas Costes, Mathias Engström, Stergios Papadimitriou, Dag Nyholm, Håkan Ahlström, Alexander Hammers, Mark Lubberink

    Diterbitkan 2020-12-01
    Dapatkan teks lengkap
    Artikel
    Simpan ke Daftar
    Disimpan di:
  10. 10
    Deep learning from MRI-derived labels enables automatic brain tissue classification on human brain CT

    Deep learning from MRI-derived labels enables automatic brain tissue classification on human brain CT oleh Meera Srikrishna, Joana B. Pereira, Rolf A. Heckemann, Giovanni Volpe, Danielle van Westen, Anna Zettergren, Silke Kern, Lars-Olof Wahlund, Eric Westman, Ingmar Skoog, Michael Schöll

    Diterbitkan 2021-12-01
    Dapatkan teks lengkap
    Artikel
    Simpan ke Daftar
    Disimpan di:
  11. 11
    Neuroanatomical Correlates of Recognizing Face Expressions in Mild Stages of Alzheimer's Disease.

    Neuroanatomical Correlates of Recognizing Face Expressions in Mild Stages of Alzheimer's Disease. oleh Laurie-Anne Sapey-Triomphe, Rolf A Heckemann, Nawele Boublay, Jean-Michel Dorey, Marie-Anne Hénaff, Isabelle Rouch, Catherine Padovan, Alexander Hammers, Pierre Krolak-Salmon, Alzheimer’s Disease Neuroimaging Initiative

    Diterbitkan 2015-01-01
    Dapatkan teks lengkap
    Artikel
    Simpan ke Daftar
    Disimpan di:
  12. 12
    Comparison of Two-Dimensional- and Three-Dimensional-Based U-Net Architectures for Brain Tissue Classification in One-Dimensional Brain CT

    Comparison of Two-Dimensional- and Three-Dimensional-Based U-Net Architectures for Brain Tissue Classification in One-Dimensional Brain CT oleh Meera Srikrishna, Meera Srikrishna, Rolf A. Heckemann, Joana B. Pereira, Joana B. Pereira, Giovanni Volpe, Anna Zettergren, Silke Kern, Silke Kern, Eric Westman, Ingmar Skoog, Ingmar Skoog, Michael Schöll, Michael Schöll, Michael Schöll, Michael Schöll

    Diterbitkan 2022-01-01
    Dapatkan teks lengkap
    Artikel
    Simpan ke Daftar
    Disimpan di:

Alat Pencarian: