Varun A. Kelkar

According to our database, Varun A. Kelkar authored at least 16 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

High-Dimensional MR Reconstruction Integrating Subspace and Adaptive Generative Models.

Ruiyang Zhao, Xi Peng, Varun A. Kelkar, Mark A. Anastasio, Fan Lam

IEEE Trans. Biomed. Eng., June, 2024

AmbientFlow: Invertible generative models from incomplete, noisy measurements.

Varun A. Kelkar, Rucha Deshpande, Arindam Banerjee, Mark A. Anastasio

Trans. Mach. Learn. Res., 2024

Report on the AAPM Grand Challenge on deep generative modeling for learning medical image statistics.

Rucha Deshpande, Varun A. Kelkar, Dimitrios S. Gotsis, Prabhat K. C., Rongping Zeng, Kyle J. Myers, Frank J. Brooks, Mark A. Anastasio

CoRR, 2024

2023

Assessing the Ability of Generative Adversarial Networks to Learn Canonical Medical Image Statistics.

Varun A. Kelkar, Dimitrios S. Gotsis, Frank J. Brooks, Prabhat K. C., Kyle J. Myers, Rongping Zeng, Mark A. Anastasio

IEEE Trans. Medical Imaging, June, 2023

Evaluating generative stochastic image models using task-based image quality measures.

Varun A. Kelkar, Dimitrios S. Gotsis, Rucha Deshpande, Frank J. Brooks, Prabhat K. C., Kyle J. Myers, Rongping Zeng, Mark A. Anastasio

Proceedings of the Medical Imaging 2023: Image Perception, 2023

Sparsity-Driven Joint Blind Deconvolution-Demodulation with Application to Motor Fault Detection.

Varun A. Kelkar, Dehong Liu, Hiroshi Inoue, Makoto Kanemaru

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Prior image-based medical image reconstruction using a style-based generative adversarial network.

Varun A. Kelkar, Mark A. Anastasio

CoRR, 2022

Evaluating procedures for establishing generative adversarial network-based stochastic image models in medical imaging.

Varun A. Kelkar, Dimitrios S. Gotsis, Frank J. Brooks, Kyle J. Myers, Prabhat K. C., Rongping Zeng, Mark A. Anastasio

Proceedings of the Medical Imaging 2022: Image Perception, 2022

Application of DatasetGAN in medical imaging: preliminary studies.

Zong Fan, Varun A. Kelkar, Mark A. Anastasio, Hua Li

Proceedings of the Medical Imaging 2022: Image Processing, 2022

2021

On Hallucinations in Tomographic Image Reconstruction.

Sayantan Bhadra, Varun A. Kelkar, Frank J. Brooks, Mark A. Anastasio

IEEE Trans. Medical Imaging, 2021

Compressible Latent-Space Invertible Networks for Generative Model-Constrained Image Reconstruction.

Varun A. Kelkar, Sayantan Bhadra, Mark A. Anastasio

IEEE Trans. Computational Imaging, 2021

Impact of deep learning-based image super-resolution on binary signal detection.

Xiaohui Zhang, Varun A. Kelkar, Jason L. Granstedt, Hua Li, Mark A. Anastasio

CoRR, 2021

Task-based evaluation of deep image super-resolution in medical imaging.

Varun A. Kelkar, Xiaohui Zhang, Jason L. Granstedt, Hua Li, Mark A. Anastasio

Proceedings of the Medical Imaging 2021: Image Perception, 2021

Assessing regularization in tomographic imaging via hallucinations in the null space.

Sayantan Bhadra, Varun A. Kelkar, Frank J. Brooks, Mark A. Anastasio

Proceedings of the Medical Imaging 2021: Image Perception, 2021

SlabGAN: a method for generating efficient 3D anisotropic medical volumes using generative adversarial networks.

Jason L. Granstedt, Varun A. Kelkar, Weimin Zhou, Mark A. Anastasio

Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021

Prior Image-Constrained Reconstruction using Style-Based Generative Models.

Varun A. Kelkar, Mark A. Anastasio

Proceedings of the 38th International Conference on Machine Learning, 2021