Research output per year
Research output per year
Fingerprint
Fingerprint is based on mining the text of the expert's scholarly documents to create an index of weighted terms, which defines the key subjects of each individual researcher.
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Network
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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3-D Stochastic Numerical Breast Phantoms for Enabling Virtual Imaging Trials of Ultrasound Computed Tomography
Li, F., Villa, U., Park, S. & Anastasio, M. A., Jan 1 2022, In: IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control. 69, 1, p. 135-146 12 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Automated sleep state classification of wide-field calcium imaging data via multiplex visibility graphs and deep learning
Zhang, X., Landsness, E. C., Chen, W., Miao, H., Tang, M., Brier, L. M., Culver, J. P., Lee, J. M. & Anastasio, M. A., Jan 15 2022, In: Journal of Neuroscience Methods. 366, 109421.Research output: Contribution to journal › Article › peer-review
Open Access -
3D microscopy and deep learning reveal the heterogeneity of crown-like structure microenvironments in intact adipose tissue
Geng, J., Zhang, X., Prabhu, S., Shahoei, S. H., Nelson, E. R., Swanson, K. S., Anastasio, M. A. & Smith, A. M., Feb 17 2021, In: Science Advances. 7, 8, eabe2480.Research output: Contribution to journal › Article › peer-review
Open Access -
Advancing the AmbientGAN for learning stochastic object models
Zhou, W., Bhadra, S., Brooks, F. J., Granstedt, J. L., Li, H. & Anastasio, M. A., 2021, Medical Imaging 2021: Image Perception, Observer Performance, and Technology Assessment. Samuelson, F. W. & Taylor-Phillips, S. (eds.). SPIE, 115990A. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 11599).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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A Hybrid Approach for Approximating the Ideal Observer for Joint Signal Detection and Estimation Tasks by Use of Supervised Learning and Markov-Chain Monte Carlo Methods
Li, K., Zhou, W., Li, H. & Anastasio, M. A., 2021, (Accepted/In press) In: IEEE transactions on medical imaging.Research output: Contribution to journal › Article › peer-review
Open Access
Datasets
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3D Acoustic Numerical Breast Phantoms
Li, F. (Creator), Villa, U. (Creator), Park, S. (Creator) & Anastasio, M. A. (Creator), Harvard Dataverse, Jun 4 2021
DOI: 10.7910/DVN/KBYQQ7
Dataset
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StyleGAN2 trained on MR brain and face images: network weights
Kelkar, V. A. (Creator) & Anastasio, M. A. (Creator), University of Illinois at Urbana-Champaign, Jun 14 2021
DOI: 10.13012/B2IDB-4499850_V1
Dataset
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2D Acoustic Numerical Breast Phantoms and USCT Measurement Data
Li, F. (Creator), Villa, U. (Creator), Park, S. (Creator) & Anastasio, M. A. (Creator), Harvard Dataverse, Jun 4 2021
DOI: 10.7910/DVN/CUFVKE
Dataset