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Mardava Gubbi
Mardava Gubbi
Student, Department of Electrical and Computer Engineering, Johns Hopkins University
Verified email at jhu.edu
Title
Cited by
Cited by
Year
Application of the generalized contrast-to-noise ratio to assess photoacoustic image quality
KM Kempski, MT Graham, MR Gubbi, T Palmer, MAL Bell
Biomedical Optics Express 11 (7), 3684-3698, 2020
702020
In Vivo Demonstration of Photoacoustic Image Guidance and Robotic Visual Servoing for Cardiac Catheter-Based Interventions
M Graham, F Assis, D Allman, A Wiacek, E Gonzalez, M Gubbi, J Dong, ...
IEEE transactions on medical imaging 39 (4), 1015-1029, 2019
602019
A fully convolutional neural network for beamforming ultrasound images
AA Nair, MR Gubbi, TD Tran, A Reiter, MAL Bell
2018 IEEE International Ultrasonics Symposium (IUS), 1-4, 2018
262018
Photoacoustic image guidance and robotic visual servoing to mitigate fluoroscopy during cardiac catheter interventions
MT Graham, F Assis, D Allman, A Wiacek, E Gonzalez, MR Gubbi, J Dong, ...
Advanced biomedical and clinical diagnostic and surgical guidance systems …, 2020
132020
Theoretical framework to predict generalized contrast-to-noise ratios of photoacoustic images with applications to computer vision
MR Gubbi, EA Gonzalez, MAL Bell
IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control 69 …, 2022
122022
GPU implementation of coherence-based photoacoustic beamforming for autonomous visual servoing
E Gonzalez, MR Gubbi, MAL Bell
2019 IEEE International Ultrasonics Symposium (IUS), 24-27, 2019
122019
Deep learning-based photoacoustic visual servoing: Using outputs from raw sensor data as inputs to a robot controller
MR Gubbi, MAL Bell
2021 IEEE International Conference on Robotics and Automation (ICRA), 14261 …, 2021
102021
Generalized contrast-to-noise ratio as a metric of photoacoustic image quality
KM Kempski, M Graham, A Wiacek, M Gubbi, MAL Bell
Photons Plus Ultrasound: Imaging and Sensing 2021 11642, 102-106, 2021
42021
Theoretical predictions of the generalized contrast-to-noise ratio for photoacoustic images
MR Gubbi, MAL Bell
2020 IEEE International Ultrasonics Symposium (IUS), 1-4, 2020
42020
A method to estimate the spatial coherence of photoacoustic channel data without access to channel data
KM Kempski, MR Gubbi, MAL Bell
2021 IEEE International Ultrasonics Symposium (IUS), 1-3, 2021
12021
Deep learning in vivo catheter tip locations for photoacoustic-guided cardiac interventions
MR Gubbi, F Assis, J Chrispin, MAL Bell
Journal of biomedical optics 29 (S1), S11505, 2023
2023
Predicting Generalized Contrast-to-Noise Ratios in Frame-Averaged Photoacoustic Images
MR Gubbi, MAL Bell
2022 IEEE International Ultrasonics Symposium (IUS), 1-4, 2022
2022
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Articles 1–12