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EEG datasets for motor imagery brain–computer interface
Cho, Hohyun, Ahn, Minkyu, Ahn, Sangtae, Kwon, Moonyoung, Jun, Sung Chan
Published in Gigascience (01.07.2017)
Published in Gigascience (01.07.2017)
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Automatic fiber bundle segmentation in massive tractography datasets using a multi-subject bundle atlas
Guevara, P., Duclap, D., Poupon, C., Marrakchi-Kacem, L., Fillard, P., Le Bihan, D., Leboyer, M., Houenou, J., Mangin, J.-F.
Published in NeuroImage (Orlando, Fla.) (16.07.2012)
Published in NeuroImage (Orlando, Fla.) (16.07.2012)
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Inter‐subject alignment of MEG datasets in a common representational space
Zhang, Qiong, Borst, Jelmer P., Kass, Robert E., Anderson, John R.
Published in Human brain mapping (01.09.2017)
Published in Human brain mapping (01.09.2017)
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Cytosplore: Interactive Immune Cell Phenotyping for Large Single-Cell Datasets
Höllt, T., Pezzotti, N., van Unen, V., Koning, F., Eisemann, E., Lelieveldt, B., Vilanova, A.
Published in Computer graphics forum (01.06.2016)
Published in Computer graphics forum (01.06.2016)
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Identifying canonical and replicable multi‐scale intrinsic connectivity networks in 100k+ resting‐state fMRI datasets
Iraji, A., Fu, Z., Faghiri, A., Duda, M., Chen, J., Rachakonda, S., DeRamus, T., Kochunov, P., Adhikari, B. M., Belger, A., Ford, J. M., Mathalon, D. H., Pearlson, G. D., Potkin, S. G., Preda, A., Turner, J. A., van Erp, T. G. M., Bustillo, J. R., Yang, K., Ishizuka, K., Faria, A., Sawa, A., Hutchison, K., Osuch, E. A., Theberge, J., Abbott, C., Mueller, B. A., Zhi, D., Zhuo, C., Liu, S., Xu, Y., Salman, M., Liu, J., Du, Y., Sui, J., Adali, T., Calhoun, V. D.
Published in Human brain mapping (01.12.2023)
Published in Human brain mapping (01.12.2023)
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Anthropometric Scaling of Anatomical Datasets for Subject-Specific Musculoskeletal Modelling of the Shoulder
Klemt, Christian, Nolte, Daniel, Ding, Ziyun, Rane, Lance, Quest, Rebecca A., Finnegan, Mary E., Walker, Miny, Reilly, Peter, Bull, Anthony M. J.
Published in Annals of biomedical engineering (01.04.2019)
Published in Annals of biomedical engineering (01.04.2019)
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A group model for stable multi-subject ICA on fMRI datasets
Varoquaux, G., Sadaghiani, S., Pinel, P., Kleinschmidt, A., Poline, J.B., Thirion, B.
Published in NeuroImage (Orlando, Fla.) (15.05.2010)
Published in NeuroImage (Orlando, Fla.) (15.05.2010)
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An accuracy assessment of SlicerAutoscoper M - software for tracking skeletal structures in multi-plane videoradiography datasets
Morton, Amy M, Holtgrewe, John D, Beveridge, Jillian E, Yoon, Dajung, Rainbow, Michael J, Lopez, Cesar, Zhao, Kristin D, Paniagua, Beatriz, Fillion-Robin, Jean-Christophe, Lombardi, Anthony J, Moore, Douglas C, Crisco, Joseph J
Published in Journal of biomechanics (07.09.2025)
Published in Journal of biomechanics (07.09.2025)
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Predicting variation in subject thermal response during transcranial magnetic resonance guided focused ultrasound surgery: Comparison in seventeen subject datasets
Vyas, Urvi, Ghanouni, Pejman, Halpern, Casey H., Elias, Jeff, Pauly, Kim Butts
Published in Medical physics (Lancaster) (01.09.2016)
Published in Medical physics (Lancaster) (01.09.2016)
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Generic semi-supervised adversarial subject translation for sensor-based activity recognition: Performance of Human Activity Recognition (HAR) models, particularly deep neural networks, is highly contingent upon the availability of the massive amount of annotated training data. Though, data collection and manual labeling in the HAR domain are prohibitively expensive due to human resource dependence in both steps. Hence, domain adaptation techniques are proposed to adapt the knowledge from the existing source of data. More recently, adversarial transfer learning methods have shown promisin
Soleimani, Elnaz, Khodabandelou, Ghazaleh, Chibani, Abdelghani, Amirat, Yacine
Published in Neurocomputing (Amsterdam) (01.08.2022)
Published in Neurocomputing (Amsterdam) (01.08.2022)
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GRAF-pop: A Fast Distance-Based Method To Infer Subject Ancestry from Multiple Genotype Datasets Without Principal Components Analysis
Jin, Yumi, Schaffer, Alejandro A, Feolo, Michael, Holmes, J Bradley, Kattman, Brandi L
Published in G3 : genes - genomes - genetics (01.08.2019)
Published in G3 : genes - genomes - genetics (01.08.2019)
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Semisupervised representative learning for measuring epidermal thickness in human subjects in optical coherence tomography by leveraging datasets from rodent models
Ji, Yubo, Yang, Shufan, Zhou, Kanheng, Lu, Jie, Wang, Ruikang, Rocliffe, Holly R., Pellicoro, Antonella, Cash, Jenna L., Li, Chunhui, Huang, Zhihong
Published in Journal of biomedical optics (01.08.2022)
Published in Journal of biomedical optics (01.08.2022)
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