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An interpretable machine learning framework with data-informed imaging biomarkers for diagnosis and prediction of Alzheimer’s disease2026 Computerized Medical Imaging and Graphics article Medicine Dementia and Cognitive Impairment Research Open access
Wenjie Kang, Bo Li, Lize Corrine Jiskoot, Peter Paul De Deyn, Geert Jan Biessels, Huiberdina L. Koek, +6 more
6citations -
Metabolic alteration in oxylipins and endocannabinoids point to an important role for soluble epoxide hydrolase and inflammation in Alzheimer’s disease—finding from Alzheimer’s Disease Neuroimaging Initiative2026 Alzheimer s Research & Therapy article Medicine Alzheimer's disease research and treatments Open access
Kamil Borkowski, Chunyuan Yin, Alida Kindt, Nuanyi Liang, Elizabeth C. M. de Lange, Colette Blach, +4 more
4citations -
Metabolic Alteration in Oxylipins and Endocannabinoids Point to an Important Role for Soluble Epoxide Hydrolase and Inflammation in Alzheimer’s Disease - Finding from Alzheimer’s Disease Neuroimaging Initiative2025 bioRxiv (Cold Spring Harbor Laboratory) preprint Medicine Alzheimer's disease research and treatments Open access
Kamil Borkowski, Chunyuan Yin, Alida S. D. Kindt, Nuanyi Liang, Elizabeth C. M. de Lange, Colette Blach, +3 more
3citations -
An Interpretable Machine Learning Model with Deep Learning-based Imaging Biomarkers for Diagnosis of Alzheimer's Disease2023 arXiv (Cornell University) preprint Medicine Dementia and Cognitive Impairment Research Open access
Wenjie Kang, Bo Li, Janne M. Papma, Lize Corrine Jiskoot, Peter Paul De Deyn, Geert Jan Biessels, +6 more
1citations -
Metabolic alteration in oxylipins and endocannabinoids point to an important role for soluble epoxide hydrolase and inflammation in Alzheimer’s disease—finding from Alzheimer’s Disease Neuroimaging Initiative
Kamil Borkowski, Chunyuan Yin, Alida S. D. Kindt, Nuanyi Liang, Elizabeth C. M. de Lange, Colette Blach, +3 more
0citations -
Metabolic alteration in oxylipins and endocannabinoids point to an important role for soluble epoxide hydrolase and inflammation in Alzheimer’s disease—finding from Alzheimer’s Disease Neuroimaging Initiative
Kamil Borkowski, Chunyuan Yin, Alida S. D. Kindt, Nuanyi Liang, Elizabeth C. M. de Lange, Colette Blach, +3 more
0citations -
An Interpretable Machine Learning Model with Deep Learning-Based Imaging Biomarkers for Diagnosis of Alzheimer’s Disease2023 Lecture notes in computer science conference-paper Medicine Dementia and Cognitive Impairment Research Open access
Wenjie Kang, Bo Li, Janne M. Papma, Lize Corrine Jiskoot, Peter Paul De Deyn, Geert Jan Biessels, +6 more
7citations -
GL-ICNN: An End-To-End Interpretable Convolutional Neural Network for the Diagnosis and Prediction of Alzheimer's Disease2025 IEEE International Symposium on Biomedical Imaging (ISBI) conference-paper Medicine Dementia and Cognitive Impairment Research Open access
Wenjie Kang, Lize Corrine Jiskoot, Peter Paul De Deyn, Geert Jan Biessels, Huiberdina L. Koek, Jurgen A.H.R. Claassen, +5 more
3citations -
GL-ICNN: An End-To-End Interpretable Convolutional Neural Network for the Diagnosis and Prediction of Alzheimer's Disease2025 arXiv (Cornell University) preprint Medicine Dementia and Cognitive Impairment Research Open access
Wenjie Kang, Lize Corrine Jiskoot, Peter Paul De Deyn, Geert Jan Biessels, Huiberdina L. Koek, Jurgen A.H.R. Claassen, +5 more
0citations -
Identification of Mild cognitive impairment based on quadruple GCN model constructed with multiple features from higher-order brain connectivity2023 Expert Systems with Applications article Medicine Dementia and Cognitive Impairment Research Open access
Yuan Li, Ying Zou, Hanning Guo, Yongqing Yang, Na Li, Linhao Li, +1 more
12citations -
Clinical characteristics of patients with suspected Alzheimer’s disease within a CSF Aß-ratio grey zone2023 Neurological Research and Practice article Medicine Dementia and Cognitive Impairment Research Open access
Dariia Yosypyshyn, Domantė Kučikienė, Inez Ramakers, Jörg Bernhard Schulz, Kathrin Reetz, Ana Sofia Costa
5citations
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