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ORCIDInez H. G. B. Ramakers
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2020 – today
- 2023
[c2]Wenjie Kang, Bo Li, Janne M. Papma, Lize C. Jiskoot, Peter Paul De Deyn, Geert Jan Biessels, Jurgen A. H. R. Claassen, Huub A. M. Middelkoop, Wiesje M. van der Flier, Inez H. G. B. Ramakers, Stefan Klein, Esther E. Bron:
An Interpretable Machine Learning Model with Deep Learning-Based Imaging Biomarkers for Diagnosis of Alzheimer's Disease. ISIC/Care-AI/MedAGI/DeCaF@MICCAI 2023: 69-78- [i2]Wenjie Kang, Bo Li, Janne M. Papma, Lize C. Jiskoot, Peter Paul De Deyn, Geert Jan Biessels, Jurgen A. H. R. Claassen, Huub A. M. Middelkoop, Wiesje M. van der Flier, Inez H. G. B. Ramakers, Stefan Klein, Esther E. Bron:
An Interpretable Machine Learning Model with Deep Learning-based Imaging Biomarkers for Diagnosis of Alzheimer's Disease. CoRR abs/2308.07778 (2023) - 2021
- [c1]Hali Lindsay, Philipp Müller, Insa Kröger, Johannes Tröger, Nicklas Linz, Alexandra König, Radia Zeghari, Frans R. J. Verhey, Inez H. G. B. Ramakers:
Multilingual Learning for Mild Cognitive Impairment Screening from a Clinical Speech Task. RANLP 2021: 830-838 - 2020
- [i1]Esther E. Bron, Stefan Klein, Janne M. Papma, Lize C. Jiskoot, Vikram Venkatraghavan, Jara Linders, Pauline Aalten, Peter Paul De Deyn, Geert Jan Biessels, Jurgen A. H. R. Claassen, Huub A. M. Middelkoop, Marion Smits, Wiro J. Niessen, John van Swieten, Wiesje M. van der Flier, Inez H. G. B. Ramakers, Aad van der Lugt:
Cross-Cohort Generalizability of Deep and Conventional Machine Learning for MRI-based Diagnosis and Prediction of Alzheimer's Disease. CoRR abs/2012.08769 (2020)
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