Prabhat K. C. - RankMe

12 papers Journal 9Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	sFRC for assessing hallucinations in medical image restoration. CoRR Prabhat K. C., Rongping Zeng, Nirmal Soni, Aldo Badano
2025	—	`conf`	Acoustic Signal-Based Binary Classification for Brick Wall Inspection by Hammering Test. CANDARW Nishchal Acharya, Prabhat K. C., Sajan Maharjan, Prabhat Bhatta, Masafumi Koike, Masako Saito, Katsuhiko Hibino, Atsushi Ito
2025	J	`jnl`	Hallucinations in medical devices. CoRR Jason Granstedt, Prabhat K. C., Rucha Deshpande, Victor Garcia, Aldo Badano
2024	J	`jnl`	Assessing the performance of CT image denoisers using Laguerre-Gauss Channelized Hotelling Observer for lesion detection. CoRR Prabhat K. C., Rongping Zeng
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`	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
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
2021	J	`jnl`	Deep neural networks-based denoising models for CT imaging and their efficacy. CoRR Prabhat K. C., Rongping Zeng, M. Mehdi Farhangi, Kyle J. Myers
2018	J	`jnl`	Model-Based Iterative Reconstruction of Magnetization Using Vector Field Electron Tomography. IEEE Trans. Computational Imaging K. Aditya Mohan, Prabhat K. C., Charudatta Phatak, Marc De Graef, Charles A. Bouman