| Mapping the interplay of atrial fibrillation, brain structure, and cognitive dysfunction M Petersen, C Chevalier, FL Naegele, T Ingwersen, A Omidvarnia, ... Alzheimer's & Dementia, 2024 | | 2024 |
| Network and state specificity in connectivity‐based predictions of individual behavior N Kraljević, R Langner, V Küppers, F Raimondo, KR Patil, SB Eickhoff, ... Human Brain Mapping 45 (8), e26753, 2024 | 1 | 2024 |
| Empirical Comparison Between Cross-Validation and Mutation-Validation in Model Selection J Yu, S Hamdan, L Sasse, A Morrison, KR Patil International Symposium on Intelligent Data Analysis, 56-67, 2024 | | 2024 |
| Sex classification from functional brain connectivity: Generalization to multiple datasets L Wiersch, P Friedrich, S Hamdan, V Komeyer, F Hoffstaedter, KR Patil, ... Human brain mapping 45 (6), e26683, 2024 | | 2024 |
| Enhancing Cognitive Performance Prediction through White Matter Hyperintensity Connectivity Assessment: A Multicenter Lesion Network Mapping Analysis of 3,485 Memory Clinic … M Petersen, M Coenen, C DeCarli, A De Luca, E van der Lelij, F Barkhof, ... medRxiv, 2024 | | 2024 |
| Erhöhtes Brain Age Gap Estimate bei Chorea Huntington L Wolf, C Rubbert, S Moore, K Patil, D Weiß, V Ivan, M Vach, ... RöFo-Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden …, 2024 | | 2024 |
| A latent clinical-anatomical dimension relating metabolic syndrome to brain structure and cognition M Petersen, F Hoffstaedter, FL Nägele, C Mayer, M Schell, DL Rimmele, ... Elife 12, RP93246, 2024 | 1 | 2024 |
| Large language models surpass human experts in predicting neuroscience results X Luo, A Rechardt, G Sun, KK Nejad, F Yáñez, B Yilmaz, K Lee, ... arXiv preprint arXiv:2403.03230, 2024 | 2 | 2024 |
| Linking brain structure and genetic risk in large-scale data: A comparison of shared versus predominantly disorder-specific genetic risk for neuropsychiatric disorders L Federmann, L Sindermann, S Primus, F Raimondo, K Oexle, ... Clinical Neurophysiology 159, e29-e30, 2024 | | 2024 |
| MRI-or 18F-FDG PET-derived brain age gaps: Associations with markers of Alzheimer's disease E Doering, G Antonopoulos, M Hönig, T van Eimeren, M Daamen, ... Clinical Neurophysiology 159, e15, 2024 | | 2024 |
| Lifetime Exposure to Depression and Neuroimaging Measures of Brain Structure and Function X Wang, F Hoffstaedter, J Kasper, SB Eickhoff, KR Patil, J Dukart JAMA Network Open 7 (2), e2356787-e2356787, 2024 | | 2024 |
| Pitfalls in using ML to predict executive function performance by linguistic variables G Kuhles, S Eickhoff, K Patil, J Camilleri, S Heim, S Weis, S Hamdan European Workshop on Cognitive Neuropsychology, 2024 | | 2024 |
| A framework for confounder considerations in AI-driven precision medicine V Komeyer, SB Eickhoff, C Grefkes, KR Patil, F Raimondo medRxiv, 2024.02. 02.24302198, 2024 | | 2024 |
| MRI or 18F-FDG PET for Brain Age Gap Estimation: Links to Cognition, Pathology, and Alzheimer Disease Progression E Doering, G Antonopoulos, M Hoenig, T van Eimeren, M Daamen, ... Journal of nuclear medicine 65 (1), 147-155, 2024 | 3 | 2024 |
| Julearn: an easy-to-use library for leakage-free evaluation and inspection of ML models S Hamdan, S More, L Sasse, V Komeyer, KR Patil, F Raimondo, ... Gigabyte 2024, 2024 | 4 | 2024 |
| Predicting executive functioning from brain networks: modality specificity and age effects MK Heckner, EC Cieslik, LK Paas Oliveros, SB Eickhoff, KR Patil, ... Cerebral Cortex 33 (22), 10997-11009, 2023 | | 2023 |
| On Leakage in Machine Learning Pipelines L Sasse, E Nicolaisen-Sobesky, J Dukart, SB Eickhoff, M Götz, S Hamdan, ... arXiv preprint arXiv:2311.04179, 2023 | | 2023 |
| A systematic comparison of VBM pipelines and their application to age prediction G Antonopoulos, S More, F Raimondo, SB Eickhoff, F Hoffstaedter, ... NeuroImage 279, 120292, 2023 | 7 | 2023 |
| Lack of structural brain alterations associated with insomnia: findings from the ENIGMA‐Sleep Working Group A Weihs, S Frenzel, H Bi, JE Schiel, M Afshani, R Bülow, R Ewert, I Fietze, ... Journal of sleep research 32 (5), e13884, 2023 | 6 | 2023 |
| Effect of lifetime exposure to depression on brain structure and function in the UK Biobank X Wang, F Hoffstaedter, J Kasper, S Eickhoff, KR Patil, J Dukart medRxiv, 2023.08. 31.23294887, 2023 | | 2023 |
Simon B. EickhoffInstitut for Systems Neuroscience, Heinrich-Heine-Universität Düsseldorf在 uni-duesseldorf.de 的电子邮件经过验证
