Francisco Pereira, Ph.D. - Publications

Affiliations: 
Siemens Healthcare 
Area:
machine learning

25 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2018 Pereira F, Lou B, Pritchett B, Ritter S, Gershman SJ, Kanwisher N, Botvinick M, Fedorenko E. Toward a universal decoder of linguistic meaning from brain activation. Nature Communications. 9: 963. PMID 29511192 DOI: 10.1038/s41467-018-03068-4  0.64
2016 Pereira F, Gershman S, Ritter S, Botvinick M. A comparative evaluation of off-the-shelf distributed semantic representations for modelling behavioural data. Cognitive Neuropsychology. 33: 175-90. PMID 27686110 DOI: 10.1080/02643294.2016.1176907  0.64
2013 Yuan L, Zhang L, Ditt H, Ordy V, Pereira F, Chefd'hotel C. Simultaneous label fusion with vessel preserving for bone removal in CT angiography scans. Conference Proceedings : ... Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual Conference. 2013: 5115-8. PMID 24110886 DOI: 10.1109/EMBC.2013.6610699  0.64
2013 Pereira F, Botvinick M, Detre G. Using Wikipedia to learn semantic feature representations of concrete concepts in neuroimaging experiments. Artificial Intelligence. 194: 240-252. PMID 23243317 DOI: 10.1016/j.artint.2012.06.005  0.64
2013 Pereira F, Walz JM, Cetingul E, Sudarsky S, Nadar M, Prakash R. Creating group-level functionally-defined atlases for diagnostic classification Proceedings - 2013 3rd International Workshop On Pattern Recognition in Neuroimaging, Prni 2013. 29-32. DOI: 10.1109/PRNI.2013.17  0.64
2013 Pereira F, Botvinick M. Simitar: Simplified searching of statistically significant similarity structure Proceedings - 2013 3rd International Workshop On Pattern Recognition in Neuroimaging, Prni 2013. 1-4. DOI: 10.1109/PRNI.2013.10  0.64
2012 Bohland JW, Saperstein S, Pereira F, Rapin J, Grady L. Network, anatomical, and non-imaging measures for the prediction of ADHD diagnosis in individual subjects. Frontiers in Systems Neuroscience. 6: 78. PMID 23267318 DOI: 10.3389/fnsys.2012.00078  0.64
2012 Allen K, Pereira F, Botvinick M, Goldberg AE. Distinguishing grammatical constructions with fMRI pattern analysis. Brain and Language. 123: 174-82. PMID 23010489 DOI: 10.1016/j.bandl.2012.08.005  0.64
2012 Pereira F, Botvinick M. A systematic approach to extracting semantic information from functional MRI data Advances in Neural Information Processing Systems. 3: 2267-2275.  0.64
2011 Pereira F, Detre G, Botvinick M. Generating text from functional brain images. Frontiers in Human Neuroscience. 5: 72. PMID 21927602 DOI: 10.3389/fnhum.2011.00072  0.64
2011 Gershman SJ, Blei DM, Pereira F, Norman KA. A topographic latent source model for fMRI data. Neuroimage. 57: 89-100. PMID 21549204 DOI: 10.1016/j.neuroimage.2011.04.042  0.64
2011 Pereira F, Botvinick M. Information mapping with pattern classifiers: A comparative study Neuroimage. 56: 476-496. PMID 20488249 DOI: 10.1016/j.neuroimage.2010.05.026  0.64
2011 Pereira F, Botvinick M. Classification of functional magnetic resonance imaging data using informative pattern features Proceedings of the Acm Sigkdd International Conference On Knowledge Discovery and Data Mining. 940-946. DOI: 10.1145/2020408.2020563  0.64
2010 Schurger A, Pereira F, Treisman A, Cohen JD. Reproducibility distinguishes conscious from nonconscious neural representations. Science (New York, N.Y.). 327: 97-9. PMID 19965385 DOI: 10.1126/science.1180029  0.64
2010 Pereira FG. Linking 2D data to a 3D architectural model 2nd International Workshop On Computer Graphics, Computer Vision and Mathematics, Gravisma 2010 - Workshop Proceedings. 159-162.  0.64
2009 Pereira F, Mitchell T, Botvinick M. Machine learning classifiers and fMRI: a tutorial overview. Neuroimage. 45: S199-209. PMID 19070668 DOI: 10.1016/j.neuroimage.2008.11.007  0.64
2008 Rish I, Grabarnik G, Cecchi G, Pereira F, Gordon GJ. Closed-form supervised dimensionality reduction with generalized linear models Proceedings of the 25th International Conference On Machine Learning. 832-839.  0.64
2006 Chen X, Pereira F, Lee W, Strother S, Mitchell T. Exploring predictive and reproducible modeling with the single-subject FIAC dataset. Human Brain Mapping. 27: 452-61. PMID 16565951 DOI: 10.1002/hbm.20243  0.64
2006 Pereira F, Gordon G. The support vector decomposition machine Acm International Conference Proceeding Series. 148: 689-696. DOI: 10.1145/1143844.1143931  0.64
2005 Debattista K, Sundstedt V, Pereira F, Chalmers A. Selective parallel rendering for high-fidelity graphics Theory and Practice of Computer Graphics 2005, Tpcg 2005 - Eurographics Uk Chapter Proceedings. 59-66.  0.64
2005 Neill DB, Moore AW, Pereira F, Mitchell T. Detecting significant multidimensional spatial clusters Advances in Neural Information Processing Systems 0.64
2004 Mitchell TM, Hutchinson R, Niculescu RS, Pereira F, Wang X, Just M, Newman S. Learning to decode cognitive states from brain images Machine Learning. 57: 145-175. DOI: 10.1023/B:MACH.0000035475.85309.1b  0.64
2003 Mitchell TM, Hutchinson R, Just MA, Niculescu RS, Pereira F, Wang X. Classifying instantaneous cognitive states from FMRI data. Amia ... Annual Symposium Proceedings / Amia Symposium. Amia Symposium. 465-9. PMID 14728216  0.64
2001 Pereira F, Just M, Mitchell T. Distinguishing natural language processes on the basis of fMRI-measured brain activation Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2168: 374-385.  0.64
2000 Valdés-Pérez RE, Pereira F, Pericliev V. Concise, intelligible, and approximate profiling of multiple classes International Journal of Human Computer Studies. 53: 411-436. DOI: 10.1006/ijhc.2000.0397  0.64
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