Varun A. Kelkar

23 papers A* 1B 2Misc 1Journal 15Unranked 4
YearRankTypeTitle / Venue / Authors
2024 J jnl
AmbientFlow: Invertible generative models from incomplete, noisy measurements.
Trans. Mach. Learn. Res.
Varun A. Kelkar, Rucha Deshpande, Arindam Banerjee, Mark A. Anastasio
2024 J jnl
High-Dimensional MR Reconstruction Integrating Subspace and Adaptive Generative Models.
IEEE Trans. Biomed. Eng.
Ruiyang Zhao, Xi Peng, Varun A. Kelkar, Mark A. Anastasio, Fan Lam
2024 J jnl
Report on the AAPM Grand Challenge on deep generative modeling for learning medical image statistics.
CoRR
Rucha Deshpande, Varun A. Kelkar, Dimitrios S. Gotsis, Prabhat K. C., Rongping Zeng, Kyle J. Myers, Frank J. Brooks, Mark A. Anastasio
2023 J jnl
AmbientFlow: Invertible generative models from incomplete, noisy measurements.
CoRR
Varun A. Kelkar, Rucha Deshpande, Arindam Banerjee, Mark A. Anastasio
2023 J jnl
Assessing the Ability of Generative Adversarial Networks to Learn Canonical Medical Image Statistics.
IEEE Trans. Medical Imaging
Varun A. Kelkar, Dimitrios S. Gotsis, Frank J. Brooks, Prabhat K. C., Kyle J. Myers, Rongping Zeng, Mark A. Anastasio
2023 — conf
Evaluating generative stochastic image models using task-based image quality measures.
Image Perception, Observer Performance, and Technology Assessment
Varun A. Kelkar, Dimitrios S. Gotsis, Rucha Deshpande, Frank J. Brooks, Prabhat K. C., Kyle J. Myers, Rongping Zeng, Mark A. Anastasio
2023 J jnl
High-Dimensional MR Reconstruction Integrating Subspace and Adaptive Generative Models.
CoRR
Ruiyang Zhao, Xi Peng, Varun A. Kelkar, Mark A. Anastasio, Fan Lam
2023 Misc conf
Sparsity-Driven Joint Blind Deconvolution-Demodulation with Application to Motor Fault Detection.
ICASSP
Varun A. Kelkar, Dehong Liu, Hiroshi Inoue, Makoto Kanemaru
2022 B conf
Application of DatasetGAN in medical imaging: preliminary studies.
Image Processing
Zong Fan, Varun A. Kelkar, Mark A. Anastasio, Hua Li
2022 J jnl
Application of DatasetGAN in medical imaging: preliminary studies.
CoRR
Zong Fan, Varun A. Kelkar, Mark A. Anastasio, Hua Li
2022 J jnl
Assessing the ability of generative adversarial networks to learn canonical medical image statistics.
CoRR
Varun A. Kelkar, Dimitrios S. Gotsis, Frank J. Brooks, Prabhat K. C., Kyle J. Myers, Rongping Zeng, Mark A. Anastasio
2022 J jnl
Evaluating Procedures for Establishing Generative Adversarial Network-based Stochastic Image Models in Medical Imaging.
CoRR
Varun A. Kelkar, Dimitrios S. Gotsis, Frank J. Brooks, Kyle J. Myers, Prabhat K. C., Rongping Zeng, Mark A. Anastasio
2022 — conf
Evaluating procedures for establishing generative adversarial network-based stochastic image models in medical imaging.
Image Perception, Observer Performance, and Technology Assessment
Varun A. Kelkar, Dimitrios S. Gotsis, Frank J. Brooks, Kyle J. Myers, Prabhat K. C., Rongping Zeng, Mark A. Anastasio
2022 J jnl
Prior image-based medical image reconstruction using a style-based generative adversarial network.
CoRR
Varun A. Kelkar, Mark A. Anastasio
2021 — conf
Assessing regularization in tomographic imaging via hallucinations in the null space.
Image Perception, Observer Performance, and Technology Assessment
Sayantan Bhadra, Varun A. Kelkar, Frank J. Brooks, Mark A. Anastasio
2021 J jnl
Compressible Latent-Space Invertible Networks for Generative Model-Constrained Image Reconstruction.
IEEE Trans. Computational Imaging
Varun A. Kelkar, Sayantan Bhadra, Mark A. Anastasio
2021 J jnl
Impact of deep learning-based image super-resolution on binary signal detection.
CoRR
Xiaohui Zhang, Varun A. Kelkar, Jason L. Granstedt, Hua Li, Mark A. Anastasio
2021 J jnl
On Hallucinations in Tomographic Image Reconstruction.
IEEE Trans. Medical Imaging
Sayantan Bhadra, Varun A. Kelkar, Frank J. Brooks, Mark A. Anastasio
2021 A* conf
Prior Image-Constrained Reconstruction using Style-Based Generative Models.
ICML
Varun A. Kelkar, Mark A. Anastasio
2021 J jnl
Prior Image-Constrained Reconstruction using Style-Based Generative Models.
CoRR
Varun A. Kelkar, Mark A. Anastasio
2021 B conf
SlabGAN: a method for generating efficient 3D anisotropic medical volumes using generative adversarial networks.
Image Processing
Jason L. Granstedt, Varun A. Kelkar, Weimin Zhou, Mark A. Anastasio
2021 — conf
Task-based evaluation of deep image super-resolution in medical imaging.
Image Perception, Observer Performance, and Technology Assessment
Varun A. Kelkar, Xiaohui Zhang, Jason L. Granstedt, Hua Li, Mark A. Anastasio
2020 J jnl
On hallucinations in tomographic image reconstruction.
CoRR
Sayantan Bhadra, Varun A. Kelkar, Frank J. Brooks, Mark A. Anastasio