Congratulations to Mardava Gubbi on his successful completion of the ECE Department preliminary thesis research proposal and seminar requirement!
The topics discussed in Mardava’s seminar are summarized in the following peer-reviewed publications:
- Gubbi MR, Bell MAL, Deep Learning-Based Photoacoustic Visual Servoing: Using Outputs from Raw Sensor Data as Inputs to a Robot Controller, IEEE International Conference on Robotics and Automation (ICRA), Xi’an, China, May 30 – June 5, 2021 [pdf]
- Gubbi MR, Gonzalez EA, Bell MAL,Theoretical Framework to Predict Generalized Contrast-to-Noise Ratios of Photoacoustic Images With Applications to Computer Vision,” IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, 69(6):2098-2114, 2022 [pdf]
- Kempski KM, Graham MT, Gubbi MR, Palmer T, Bell MAL, Application of the generalized contrast-to-noise ratio to assess photoacoustic image quality, Biomedical Optics Express, 11(7), 3684-3698, 2020 [pdf]
- Graham M, Assis F, Allman D, Wiacek A, González E, Gubbi M, Dong J, Hou H, Beck S, Chrispin J, Bell MAL, In vivo demonstration of photoacoustic image guidance and robotic visual servoing for cardiac catheter-based interventions, IEEE Transactions on Medical Imaging, 39(4):1015-1029, 2020 [pdf]