• 4460 Citations
  • 12 h-Index
20022019
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Fingerprint Dive into the research topics where Albert Montillo is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

Brain Engineering & Materials Science
Magnetic resonance imaging Engineering & Materials Science
Segmentation Mathematics
Magnetoencephalography Engineering & Materials Science
Computer Vision Mathematics
Computer vision Engineering & Materials Science
Football Medicine & Life Sciences
Atlases Medicine & Life Sciences

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Research Output 2002 2019

  • 4460 Citations
  • 12 h-Index
  • 27 Conference contribution
  • 9 Article
  • 5 Editorial
  • 3 Review article

Deep learning convolutional neural networks for the estimation of liver fibrosis severity from ultrasound texture

Treacher, A., Beauchamp, D., Quadri, B., Fetzer, D. T., Vij, A., Yokoo, T. & Montillo, A., Jan 1 2019, Medical Imaging 2019: Computer-Aided Diagnosis. Mori, K. & Hahn, H. K. (eds.). SPIE, 109503E. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 10950).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Elasticity Imaging Techniques
fibrosis
Shear waves
liver
Liver Cirrhosis

Multiple deep learning architectures achieve superior performance diagnosing autism spectrum disorder using features previously extracted from structural and functional mri

Mellema, C., Treacher, A., Nguyen, K. & Montillo, A., Apr 2019, ISBI 2019 - 2019 IEEE International Symposium on Biomedical Imaging. IEEE Computer Society, p. 1891-1895 5 p. 8759193. (Proceedings - International Symposium on Biomedical Imaging; vol. 2019-April).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Learning
Area Under Curve
Linear Models
Databases
Learning systems

Sensitivity of derived clinical biomarkers to rs-fmri preprocessing software versions

Nguyen, K. P., Fatt, C. C., Mellema, C., Trivedi, M. H. & Montillo, A., Apr 2019, ISBI 2019 - 2019 IEEE International Symposium on Biomedical Imaging. IEEE Computer Society, p. 1581-1584 4 p. 8759526. (Proceedings - International Symposium on Biomedical Imaging; vol. 2019-April).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Moderators
Biomarkers
Software
Digital Imaging and Communications in Medicine (DICOM)
Magnetic Resonance Imaging
1 Citation (Scopus)

Determining the optimal number of MEG trials: A machine learning and speech decoding perspective

Dash, D., Ferrari, P., Malik, S., Montillo, A., Maldjian, J. A. & Wang, J., Jan 1 2018, Brain Informatics - International Conference, BI 2018, Proceedings. Yang, Y., Yamamoto, V., Wang, S., Jones, E., Su, J., Mitchell, T. & Iasemidis, L. (eds.). Springer Verlag, p. 163-172 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11309 LNAI).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Magnetoencephalography
Decoding
Learning systems
Machine Learning
Signal to noise ratio

Quantifying the association between white matter integrity changes and subconcussive head impact exposure from a single season of youth and high school football using 3D convolutional neural networks

Saghafi, B., Murugesan, G., Davenport, E., Wagner, B., Urban, J., Kelley, M., Jones, D., Powers, A., Whitlow, C., Stitzel, J., Maldjian, J. A. & Montillo, A., Jan 1 2018, Medical Imaging 2018: Computer-Aided Diagnosis. SPIE, Vol. 10575. 105750E

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Football
integrity
Brain
Anisotropy
Head