My research lies at the intersection of computational mathematics and machine learning for applications to large-scale real world problems.
Keywords: Computational Mathematics 
Publications
Mirror, Mirror, on the Wall, Who’s Got the Clearest Image of Them All?—A Tailored Approach to Single Image Reflection Removal
– IEEE Trans Image Process
(2019)
28,
6185
(DOI: 10.1109/tip.2019.2923559)
Multi-tasking to Correct: Motion-Compensated MRI via Joint Reconstruction and Registration
– Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
(2019)
11603 LNCS,
263
(DOI: 10.1007/978-3-030-22368-7_21)
Sliding to predict: vision-based beating heart motion estimation by modeling temporal interactions
– International Journal of Computer Assisted Radiology and Surgery
(2018)
13,
353
(DOI: 10.1007/s11548-018-1702-1)
Peekaboo-Where are the Objects? Structure Adjusting Superpixels
– 2018 25th IEEE International Conference on Image Processing (ICIP)
(2018)
3693
(DOI: 10.1109/icip.2018.8451822)
Towards Retrieving Force Feedback in Robotic-Assisted Surgery: A Supervised Neuro-Recurrent-Vision Approach
– IEEE transactions on haptics
(2017)
10,
431
(DOI: 10.1109/toh.2016.2640289)
Robust cardiac motion estimation using ultrafast ultrasound data: a low-rank topology-preserving approach.
– Physics in Medicine and Biology
(2017)
62,
4831
(DOI: 10.1088/1361-6560/aa6914)
Dynamic Spectral Residual Superpixels
Compressed Sensing Plus Motion (CS+M): A New Perspective for Improving
Undersampled MR Image Reconstruction
Beyond Supervised Classification: Extreme Minimal Supervision with the
Graph 1-Laplacian
GraphX$^{NET}-$ Chest X-Ray Classification Under Extreme Minimal
Supervision
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