| A finite rate of innovation algorithm for fast and accurate spike detection from two-photon calcium imaging J Oñativia, SR Schultz, PL Dragotti Journal of neural engineering 10 (4), 046017, 2013 | 119 | 2013 |
| Computer-aided microcalcification detection on digital breast tomosynthesis data: A preliminary evaluation S Bernard, S Muller, J Onativia Digital Mammography: 9th International Workshop, IWDM 2008 Tucson, AZ, USA …, 2008 | 25 | 2008 |
| Collaborative human–robot interaction interface: Development for a spinal surgery robotic assistant A Amarillo, E Sanchez, J Caceres, J Oñativia International Journal of Social Robotics 13 (6), 1473-1484, 2021 | 15 | 2021 |
| Spike detection using FRI methods and protein calcium sensors: performance analysis and comparisons S Reynolds, J Oñativia, CS Copeland, SR Schultz, PL Dragotti Sampling Theory and Applications (SampTA), 2015 International Conference on …, 2015 | 13 | 2015 |
| Sparse sampling: theory, methods and an application in neuroscience J Oñativia, PL Dragotti Biological cybernetics 109, 125-139, 2015 | 11 | 2015 |
| Sequential Local FRI Sampling of Infinite Streams of Diracs J Oñativia, JA Urigüen, PL Dragotti ICASSP 2013, 5440-5444, 2013 | 11 | 2013 |
| Finite Dimensional FRI J Oñativia, YM Lu, PL Dragotti ICASSP 2014, 2014 | 9 | 2014 |
| Collaborative robots for surgical applications Á Bertelsen, D Scorza, C Cortés, J Oñativia, Á Escudero, E Sánchez, ... ROBOT 2017: Third Iberian Robotics Conference: Volume 2, 524-535, 2018 | 8 | 2018 |
| RoboTracker: Collaborative robotic assistant device with electromechanical patient tracking for spinal surgery A Amarillo, J Oñativia, E Sanchez 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018 | 7 | 2018 |
| Approximate Strang-Fix: sampling infinite streams of Diracs with any kernel PL Dragotti, J Oñativia, A Urigüen, T Blu Wavelets and Sparsity XV 8858, 288-295, 2013 | 4 | 2013 |
| Sampling and Reconstruction of Finite Rate of Innovation Signals with Applications in Neuroscience and Sparse Representation J Oñativia PhD Thesis, Imperial College London, 2015 | 3* | 2015 |
| Sparsity pattern recovery using FRI methods J Oñativia, YM Lu, PL Dragotti Acoustics, Speech and Signal Processing (ICASSP), 2015 IEEE International …, 2015 | 3 | 2015 |
| Sparsity according to Prony, average performance analysis J Oñativia, PL Dragotti, YM Lu def 50, 0, 0 | 3* | |
| Sparse representation in fourier and local bases using ProSparse: A probabilistic analysis YM Lu, J Oñativia, PL Dragotti IEEE Transactions on Information Theory 64 (4), 2639-2647, 2017 | 2 | 2017 |
| Prosparse denoise: Prony's based sparse pattern recovery in the presence of noise J Onativia, YM Lu, PL Dragotti 2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016 | 2 | 2016 |
| A fast layer-based multiview image coding algorithm A Gelman, J Onativia, PL Dragotti 2012 Proceedings of the 20th European Signal Processing Conference (EUSIPCO …, 2012 | 1 | 2012 |
| Detecting neuronal activity from calcium imaging data using FRI methods (Conference Presentation) S Reynolds, J Oñativia, SR Schultz, PL Dragotti Wavelets and Sparsity XVII 10394, 103940Z, 2017 | | 2017 |
| Sparsity according to Prony: Average-Case Performance Analysis and Phase Transition. YM Lu, J Oñativia, PL Dragotti CoRR, 2016 | | 2016 |
| Sampling and reconstruction of finite rate of innovation signals with applications in neuroscience J Onativia | | 2014 |
Pier Luigi DragottiProfessor, Imperial College LondonVerified email at imperial.ac.uk
