Manuscripts on this dataset

1. 

   CMS Manager @ 5:31 am on 07 Feb 2024

   Manuscripts on this dataset, "ds004215"

2. 

   CMS Manager @ 5:31 am on 07 Feb 2024

   1. Z Linli, K Hu, Q Guo, S Guo, Static and Dynamic Connectivity Structure of White-Matter Functional Network across the Adult Lifespan, 2024, Cited by 0, https://www.researchsquare.com/article/rs-4395619/latest
   2. D Karimi, An Approach to Building Foundation Models for Brain Image Analysis, International Conference on Medical Image Computing and Computer-Assisted Intervention, 2024, Cited by 0, https://link.springer.com/chapter/10.1007/978-3-031-72390-2_40
   3. H Sinha, PR Raamana, Solving the Pervasive Problem of Protocol Non-Compliance in MRI using an Open-Source tool mrQA, Neuroinformatics, 2024, Cited by 3, https://link.springer.com/article/10.1007/s12021-024-09668-4
   4. AC Rampinini, I Balboni, O Kepinska, R Berthele, NEBULA101: an open dataset for the study of language aptitude in behaviour, brain structure and function, bioRxiv, 2024, Cited by 0, https://www.biorxiv.org/content/10.1101/2024.08.27.609682.abstract
   5. T Yamamoto, T Sugiura, T Hiroyasu, S Hiwa, Task-guided Generative Adversarial Networks for Synthesizing and Augmenting Structural Connectivity Matrices for Connectivity-Based Prediction, bioRxiv, 2024, Cited by 0, https://www.biorxiv.org/content/10.1101/2024.02.13.580039.abstract
   6. S Hardy, G Roberts, M Ventresca, Predicting brain age across the adult lifespan with spontaneous oscillations and functional coupling in resting brain networks captured with magnetoencephalography, Imaging Neuroscience, 2024, Cited by 0, https://direct.mit.edu/imag/article/doi/10.1162/imag_a_00195/121386
   7. T Yu, LY Cai, S Torrisi, AT Vu, VL Morgan, Distortion correction of functional MRI without reverse phase encoding scans or field maps, Magnetic Resonance Imaging, 2023, Cited by 3, https://www.sciencedirect.com/science/article/pii/S0730725X23001121
   8. LM López-Medina, O Paredes, Spatial Blind Source Separation for an Age Neuroimaging Analysis, 2023 IEEE EMBS R9 Conference, 2023, Cited by 0, https://ieeexplore.ieee.org/abstract/document/10525521/
   9. AC Nugent, AG Thomas, M Mahoney, A Gibbons, The NIMH intramural healthy volunteer dataset: A comprehensive MEG, MRI, and behavioral resource, Scientific Data, 2022, Cited by 11, https://www.nature.com/articles/s41597-022-01623-9
   10. BH Kann, MG Brigham, Diffusion Deep Learning for Brain Age Prediction and Longitudinal Tracking in Children Through Adulthood, Cited by 0
   11. INGLML MEDINA, DESCRIPCIÓN DE LA CONSOLIDACIÓN DE PARCELAS CEREBRALES EN REDES FUNCIONALES DURANTE LA ADULTEZ USANDO FUENTES …, Cited by 0, https://riudg.udg.mx/bitstream/20.500.12104/104818/1/MCUCEI10972FT.pdf

Add Post