Hasil Pencarian - Nils Daniel Forkert

  • Menampilkan 1 - 15 hasil dari 15
Perbaiki Hasil
  1. 1
    Using Domain Adaptation and Inductive Transfer Learning to Improve Patient Outcome Prediction in the Intensive Care Unit: Retrospective Observational Study

    Using Domain Adaptation and Inductive Transfer Learning to Improve Patient Outcome Prediction in the Intensive Care Unit: Retrospective Observational Study oleh Maruthi Kumar Mutnuri, Henry Thomas Stelfox, Nils Daniel Forkert, Joon Lee

    Diterbitkan 2024-08-01
    Dapatkan teks lengkap
    Artikel
    Simpan ke Daftar
    Disimpan di:
  2. 2
    Classifiers for Ischemic Stroke Lesion Segmentation: A Comparison Study.

    Classifiers for Ischemic Stroke Lesion Segmentation: A Comparison Study. oleh Oskar Maier, Christoph Schröder, Nils Daniel Forkert, Thomas Martinetz, Heinz Handels

    Diterbitkan 2015-01-01
    Dapatkan teks lengkap
    Artikel
    Simpan ke Daftar
    Disimpan di:
  3. 3
    Correction: Classifiers for Ischemic Stroke Lesion Segmentation: A Comparison Study.

    Correction: Classifiers for Ischemic Stroke Lesion Segmentation: A Comparison Study. oleh Oskar Maier, Christoph Schröder, Nils Daniel Forkert, Thomas Martinetz, Heinz Handels

    Diterbitkan 2016-01-01
    Dapatkan teks lengkap
    Artikel
    Simpan ke Daftar
    Disimpan di:
  4. 4
    Stroke subtype classification by geometrical descriptors of lesion shape.

    Stroke subtype classification by geometrical descriptors of lesion shape. oleh Bastian Cheng, Christian Knaack, Nils Daniel Forkert, Renate Schnabel, Christian Gerloff, Götz Thomalla

    Diterbitkan 2017-01-01
    Dapatkan teks lengkap
    Artikel
    Simpan ke Daftar
    Disimpan di:
  5. 5
    Multiclass Support Vector Machine-Based Lesion Mapping Predicts Functional Outcome in Ischemic Stroke Patients.

    Multiclass Support Vector Machine-Based Lesion Mapping Predicts Functional Outcome in Ischemic Stroke Patients. oleh Nils Daniel Forkert, Tobias Verleger, Bastian Cheng, Götz Thomalla, Claus C Hilgetag, Jens Fiehler

    Diterbitkan 2015-01-01
    Dapatkan teks lengkap
    Artikel
    Simpan ke Daftar
    Disimpan di:
  6. 6
    Correction: Improved multi-parametric prediction of tissue outcome in acute ischemic stroke patients using spatial features.

    Correction: Improved multi-parametric prediction of tissue outcome in acute ischemic stroke patients using spatial features. oleh Malte Grosser, Susanne Gellißen, Patrick Borchert, Jan Sedlacik, Jawed Nawabi, Jens Fiehler, Nils Daniel Forkert

    Diterbitkan 2020-01-01
    Dapatkan teks lengkap
    Artikel
    Simpan ke Daftar
    Disimpan di:
  7. 7
    Improved multi-parametric prediction of tissue outcome in acute ischemic stroke patients using spatial features.

    Improved multi-parametric prediction of tissue outcome in acute ischemic stroke patients using spatial features. oleh Malte Grosser, Susanne Gellißen, Patrick Borchert, Jan Sedlacik, Jawed Nawabi, Jens Fiehler, Nils Daniel Forkert

    Diterbitkan 2020-01-01
    Dapatkan teks lengkap
    Artikel
    Simpan ke Daftar
    Disimpan di:
  8. 8
    Integrating expert knowledge for dementia risk prediction in individuals with mild cognitive impairment (MCI): a study protocol

    Integrating expert knowledge for dementia risk prediction in individuals with mild cognitive impairment (MCI): a study protocol oleh Aravind Ganesh, Zahinoor Ismail, Meng Wang, Tolulope Sajobi, Eric E Smith, Nils Daniel Forkert, Thierry Chekouo

    Diterbitkan 2021-11-01
    Dapatkan teks lengkap
    Artikel
    Simpan ke Daftar
    Disimpan di:
  9. 9
    Lesion-symptom mapping with NIHSS sub-scores in ischemic stroke patients

    Lesion-symptom mapping with NIHSS sub-scores in ischemic stroke patients oleh Michael D Hill, Mayank Goyal, Andrew Demchuk, Nils Daniel Forkert, Deepthi Rajashekar, Matthias Wilms, M Ethan MacDonald, Serena Schimert

    Dapatkan teks lengkap
    Artikel
    Simpan ke Daftar
    Disimpan di:
  10. 10
    CT-perfusion stroke imaging: a threshold free probabilistic approach to predict infarct volume compared to traditional ischemic thresholds

    CT-perfusion stroke imaging: a threshold free probabilistic approach to predict infarct volume compared to traditional ischemic thresholds oleh Fabian Flottmann, Gabriel Broocks, Tobias Djamsched Faizy, Marielle Ernst, Nils Daniel Forkert, Malte Grosser, Götz Thomalla, Susanne Siemonsen, Jens Fiehler, André Kemmling

    Diterbitkan 2017-07-01
    Dapatkan teks lengkap
    Artikel
    Simpan ke Daftar
    Disimpan di:
  11. 11
    Spatial normalization for voxel-based lesion symptom mapping: impact of registration approaches

    Spatial normalization for voxel-based lesion symptom mapping: impact of registration approaches oleh Daniel Jühling, Daniel Jühling, Deepthi Rajashekar, Bastian Cheng, Claus Christian Hilgetag, Claus Christian Hilgetag, Nils Daniel Forkert, Rene Werner, Rene Werner, Rene Werner

    Diterbitkan 2024-01-01
    Dapatkan teks lengkap
    Artikel
    Simpan ke Daftar
    Disimpan di:
  12. 12
    Correction: Increased Perfusion in Normal Appearing White Matter in High Inflammatory Multiple Sclerosis Patients.

    Correction: Increased Perfusion in Normal Appearing White Matter in High Inflammatory Multiple Sclerosis Patients. oleh Maxim Bester, Nils Daniel Forkert, Jan Patrick Stellmann, Klarissa Stürner, Lilian Aly, Anna Drabik, Kim Lea Young, Christoph Heesen, Jens Fiehler, Susanne Siemonsen

    Diterbitkan 2015-01-01
    Dapatkan teks lengkap
    Artikel
    Simpan ke Daftar
    Disimpan di:
  13. 13
    Increased perfusion in normal appearing white matter in high inflammatory multiple sclerosis patients.

    Increased perfusion in normal appearing white matter in high inflammatory multiple sclerosis patients. oleh Maxim Bester, Nils Daniel Forkert, Jan Patrick Stellmann, Klarissa Stürner, Lilian Aly, Anna Drabik, Kim Lea Young, Christoph Heesen, Jens Fiehler, Susanne Siemonsen

    Diterbitkan 2015-01-01
    Dapatkan teks lengkap
    Artikel
    Simpan ke Daftar
    Disimpan di:
  14. 14
    Cerebral Hemodynamics in Patients with Hemolytic Uremic Syndrome Assessed by Susceptibility Weighted Imaging and Four-Dimensional Non-Contrast MR Angiography.

    Cerebral Hemodynamics in Patients with Hemolytic Uremic Syndrome Assessed by Susceptibility Weighted Imaging and Four-Dimensional Non-Contrast MR Angiography. oleh Ulrike Löbel, Nils Daniel Forkert, Peter Schmitt, Thorsten Dohrmann, Maria Schroeder, Tim Magnus, Stefan Kluge, Christina Weiler-Normann, Xiaoming Bi, Jens Fiehler, Jan Sedlacik

    Diterbitkan 2016-01-01
    Dapatkan teks lengkap
    Artikel
    Simpan ke Daftar
    Disimpan di:
  15. 15
    Correction: Cerebral Hemodynamics in Patients with Hemolytic Uremic Syndrome Assessed by Susceptibility Weighted Imaging and Four-Dimensional Non-Contrast MR Angiography.

    Correction: Cerebral Hemodynamics in Patients with Hemolytic Uremic Syndrome Assessed by Susceptibility Weighted Imaging and Four-Dimensional Non-Contrast MR Angiography. oleh Ulrike Löbel, Nils Daniel Forkert, Peter Schmitt, Thorsten Dohrmann, Maria Schroeder, Tim Magnus, Stefan Kluge, Christina Weiler-Normann, Xiaoming Bi, Jens Fiehler, Jan Sedlacik

    Diterbitkan 2017-01-01
    Dapatkan teks lengkap
    Artikel
    Simpan ke Daftar
    Disimpan di:

Alat Pencarian: