Quantifying blood‐brain barrier leakage in small vessel disease: Review and consensus recommendations
2019 · Alzheimer s & Dementia · 245 citations
https://doi.org/10.1016/j.jalz.2019.01.013
M
Michael Ingrisch
LMU Klinikum(DE)
Claim or correct this author profile
Claim this profile or suggest corrections to the name, affiliation, bio, photo, or paper titles. Approved changes appear as verified CitedEvidence overlays.
189
Papers
4.5K
Citations
31
h-index
81
i10-index
Michael Ingrisch is an academic researcher from LMU Klinikum. The author has contributed to research in topics: Radiomics and Machine Learning in Medical Imaging & MRI in cancer diagnosis & Advanced MRI Techniques and Applications. The author has an h-index of 31, co-authored 161 publications.
ORCID: 0000-0003-0268-9078Papers by this author
worksHarmonizing brain magnetic resonance imaging methods for vascular contributions to neurodegeneration
2019 · Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring · 114 citations
https://doi.org/10.1016/j.dadm.2019.01.002
Feasibility and robustness of dynamic 18F-FET PET based tracer kinetic models applied to patients with recurrent high-grade glioma prior to carbon ion irradiation
2018 · Scientific Reports · 30 citations
https://doi.org/10.1038/s41598-018-33034-5
MITK-ModelFit: A generic open-source framework for model fits and their exploration in medical imaging – design, implementation and application on the example of DCE-MRI
2019 · BMC Bioinformatics · 28 citations
https://doi.org/10.1186/s12859-018-2588-1
18F-FET PET radiomics-based survival prediction in glioblastoma patients receiving radio(chemo)therapy
2022 · Radiation Oncology · 10 citations
https://doi.org/10.1186/s13014-022-02164-6
Radiomics workflow definition & challenges - German priority program 2177 consensus statement on clinically applied radiomics
2024 · Insights into Imaging · 9 citations
https://doi.org/10.1186/s13244-024-01704-w
Research topics
topicsChat about Author
Papers
Chat
Click to start Chat