Varun A. Kelkar

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 23

Top Topics

Image Statistics

Image Reconstruction

Generative Model

Noisy Measurements

Top Venues

Medical Imaging: Image Perception, Observer Performance, and Technology Assessment

IEEE Trans. Medical Imaging

Medical Imaging: Image Processing

Publications

Rucha Deshpande, Varun A. Kelkar, Dimitrios S. Gotsis, Prabhat K. C., Rongping Zeng, Kyle J. Myers, Frank J. Brooks, Mark A. Anastasio
Report on the AAPM Grand Challenge on deep generative modeling for learning medical image statistics. CoRR (2024)
Varun A. Kelkar, Rucha Deshpande, Arindam Banerjee, Mark A. Anastasio
AmbientFlow: Invertible generative models from incomplete, noisy measurements. Trans. Mach. Learn. Res. 2024 (2024)
Ruiyang Zhao, Xi Peng, Varun A. Kelkar, Mark A. Anastasio, Fan Lam
High-Dimensional MR Reconstruction Integrating Subspace and Adaptive Generative Models. IEEE Trans. Biomed. Eng. 71 (6) (2024)
Varun A. Kelkar, Dimitrios S. Gotsis, Frank J. Brooks, Prabhat KC, Kyle J. Myers, Rongping Zeng, Mark A. Anastasio
Assessing the Ability of Generative Adversarial Networks to Learn Canonical Medical Image Statistics. IEEE Trans. Medical Imaging 42 (6) (2023)
Ruiyang Zhao, Xi Peng, Varun A. Kelkar, Mark A. Anastasio, Fan Lam
High-Dimensional MR Reconstruction Integrating Subspace and Adaptive Generative Models. CoRR (2023)
Varun A. Kelkar, Rucha Deshpande, Arindam Banerjee, Mark A. Anastasio
AmbientFlow: Invertible generative models from incomplete, noisy measurements. CoRR (2023)
Varun A. Kelkar, Dehong Liu, Hiroshi Inoue, Makoto Kanemaru
Sparsity-Driven Joint Blind Deconvolution-Demodulation with Application to Motor Fault Detection. ICASSP (2023)
Varun A. Kelkar, Dimitrios S. Gotsis, Rucha Deshpande, Frank J. Brooks, Prabhat K. C., Kyle J. Myers, Rongping Zeng, Mark A. Anastasio
Evaluating generative stochastic image models using task-based image quality measures. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2023)
Varun A. Kelkar, Dimitrios S. Gotsis, Frank J. Brooks, Kyle J. Myers, Prabhat KC, Rongping Zeng, Mark A. Anastasio
Evaluating Procedures for Establishing Generative Adversarial Network-based Stochastic Image Models in Medical Imaging. CoRR (2022)
Varun A. Kelkar, Mark A. Anastasio
Prior image-based medical image reconstruction using a style-based generative adversarial network. CoRR (2022)
Varun A. Kelkar, Dimitrios S. Gotsis, Frank J. Brooks, Prabhat KC, Kyle J. Myers, Rongping Zeng, Mark A. Anastasio
Assessing the ability of generative adversarial networks to learn canonical medical image statistics. CoRR (2022)
Zong Fan, Varun A. Kelkar, Mark A. Anastasio, Hua Li
Application of DatasetGAN in medical imaging: preliminary studies. Medical Imaging: Image Processing (2022)
Zong Fan, Varun A. Kelkar, Mark A. Anastasio, Hua Li
Application of DatasetGAN in medical imaging: preliminary studies. CoRR (2022)
Varun A. Kelkar, Dimitrios S. Gotsis, Frank J. Brooks, Kyle J. Myers, Prabhat K. C., Rongping Zeng, Mark A. Anastasio
Evaluating procedures for establishing generative adversarial network-based stochastic image models in medical imaging. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2022)
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 (2021)
Sayantan Bhadra, Varun A. Kelkar, Frank J. Brooks, Mark A. Anastasio
On Hallucinations in Tomographic Image Reconstruction. IEEE Trans. Medical Imaging 40 (11) (2021)
Varun A. Kelkar, Xiaohui Zhang, Jason L. Granstedt, Hua Li, Mark A. Anastasio
Task-based evaluation of deep image super-resolution in medical imaging. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2021)
Sayantan Bhadra, Varun A. Kelkar, Frank J. Brooks, Mark A. Anastasio
Assessing regularization in tomographic imaging via hallucinations in the null space. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2021)
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. Medical Imaging: Image Processing (2021)
Varun A. Kelkar, Mark A. Anastasio
Prior Image-Constrained Reconstruction using Style-Based Generative Models. ICML (2021)
Varun A. Kelkar, Sayantan Bhadra, Mark A. Anastasio
Compressible Latent-Space Invertible Networks for Generative Model-Constrained Image Reconstruction. IEEE Trans. Computational Imaging 7 (2021)
Varun A. Kelkar, Mark A. Anastasio
Prior Image-Constrained Reconstruction using Style-Based Generative Models. CoRR (2021)
Sayantan Bhadra, Varun A. Kelkar, Frank J. Brooks, Mark A. Anastasio
On hallucinations in tomographic image reconstruction. CoRR (2020)