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ORCIDJason L. Granstedt
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2020 – today
- 2022
[c6]Jason L. Granstedt, Fu Li
, Umberto Villa, Mark A. Anastasio:
Learned Hotelling observers for use with multi-modal data. Image Perception, Observer Performance, and Technology Assessment 2022- 2021
- [c5]Jason L. Granstedt, Varun A. Kelkar, Weimin Zhou, Mark A. Anastasio:
SlabGAN: a method for generating efficient 3D anisotropic medical volumes using generative adversarial networks. Image Processing 2021 - [c4]Varun A. Kelkar, Xiaohui Zhang, Jason L. Granstedt, Hua Li, Mark A. Anastasio:
Task-based evaluation of deep image super-resolution in medical imaging. Image Perception, Observer Performance, and Technology Assessment 2021 - [c3]Weimin Zhou, Sayantan Bhadra, Frank J. Brooks, Jason L. Granstedt, Hua Li, Mark A. Anastasio:
Advancing the AmbientGAN for learning stochastic object models. Image Perception, Observer Performance, and Technology Assessment 2021 - [i3]Weimin Zhou, Sayantan Bhadra, Frank J. Brooks, Jason L. Granstedt, Hua Li, Mark A. Anastasio:
Advancing the AmbientGAN for learning stochastic object models. CoRR abs/2102.00281 (2021) - [i2]Xiaohui Zhang, Varun A. Kelkar, Jason L. Granstedt, Hua Li, Mark A. Anastasio:
Impact of deep learning-based image super-resolution on binary signal detection. CoRR abs/2107.02338 (2021) - 2020
- [c2]Jason L. Granstedt, Weimin Zhou, Mark A. Anastasio:
Learning efficient channels with a dual loss autoencoder. Image Perception, Observer Performance, and Technology Assessment 2020: 113160C - [i1]Jason L. Granstedt, Weimin Zhou, Mark A. Anastasio:
Approximating the Hotelling Observer with Autoencoder-Learned Efficient Channels for Binary Signal Detection Tasks. CoRR abs/2003.02321 (2020)
2010 – 2019
- 2019
- [c1]Jason L. Granstedt, Weimin Zhou, Mark A. Anastasio:
Autoencoder embedding of task-specific information. Image Perception, Observer Performance, and Technology Assessment 2019: 1095207
Coauthor Index
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