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ORCIDVarun A. Kelkar
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2020 – today
- 2024
[j5]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): 1969-1979 (2024)- [j4]Varun A. Kelkar, Rucha Deshpande, Arindam Banerjee, Mark A. Anastasio:
AmbientFlow: Invertible generative models from incomplete, noisy measurements. Trans. Mach. Learn. Res. 2024 (2024) - [i10]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 abs/2405.01822 (2024) - 2023
- [j3]Varun A. Kelkar, Dimitrios S. Gotsis, Frank J. Brooks, Prabhat K. C., 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): 1799-1808 (2023) - [c8]Varun A. Kelkar, Dehong Liu, Hiroshi Inoue, Makoto Kanemaru:
Sparsity-Driven Joint Blind Deconvolution-Demodulation with Application to Motor Fault Detection. ICASSP 2023: 1-5 - [c7]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 - [i9]Ruiyang Zhao, Xi Peng, Varun A. Kelkar, Mark A. Anastasio, Fan Lam:
High-Dimensional MR Reconstruction Integrating Subspace and Adaptive Generative Models. CoRR abs/2306.08630 (2023) - [i8]Varun A. Kelkar, Rucha Deshpande, Arindam Banerjee, Mark A. Anastasio:
AmbientFlow: Invertible generative models from incomplete, noisy measurements. CoRR abs/2309.04856 (2023) - 2022
- [c6]Zong Fan, Varun A. Kelkar, Mark A. Anastasio, Hua Li:
Application of DatasetGAN in medical imaging: preliminary studies. Medical Imaging: Image Processing 2022 - [c5]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 - [i7]Varun A. Kelkar, Mark A. Anastasio:
Prior image-based medical image reconstruction using a style-based generative adversarial network. CoRR abs/2202.08936 (2022) - [i6]Zong Fan, Varun A. Kelkar, Mark A. Anastasio, Hua Li:
Application of DatasetGAN in medical imaging: preliminary studies. CoRR abs/2202.13463 (2022) - [i5]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. CoRR abs/2204.03547 (2022) - [i4]Varun A. Kelkar, Dimitrios S. Gotsis, Frank J. Brooks, Prabhat K. C., Kyle J. Myers, Rongping Zeng, Mark A. Anastasio:
Assessing the ability of generative adversarial networks to learn canonical medical image statistics. CoRR abs/2204.12007 (2022) - 2021
- [j2]Varun A. Kelkar, Sayantan Bhadra, Mark A. Anastasio:
Compressible Latent-Space Invertible Networks for Generative Model-Constrained Image Reconstruction. IEEE Trans. Computational Imaging 7: 209-223 (2021) - [j1]Sayantan Bhadra, Varun A. Kelkar, Frank J. Brooks, Mark A. Anastasio:
On Hallucinations in Tomographic Image Reconstruction. IEEE Trans. Medical Imaging 40(11): 3249-3260 (2021) - [c4]Varun A. Kelkar, Mark A. Anastasio:
Prior Image-Constrained Reconstruction using Style-Based Generative Models. ICML 2021: 5367-5377 - [c3]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 - [c2]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 - [c1]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 - [i3]Varun A. Kelkar, Mark A. Anastasio:
Prior Image-Constrained Reconstruction using Style-Based Generative Models. CoRR abs/2102.12525 (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
- [i1]Sayantan Bhadra, Varun A. Kelkar, Frank J. Brooks, Mark A. Anastasio:
On hallucinations in tomographic image reconstruction. CoRR abs/2012.00646 (2020)
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