| On the selection of optimum Savitzky-Golay filters SR Krishnan, CS Seelamantula IEEE transactions on signal processing 61 (2), 380-391, 2012 | 286 | 2012 |
| Suppression of the zero-order term in off-axis digital holography through nonlinear filtering N Pavillon, CS Seelamantula, J Kühn, M Unser, C Depeursinge Applied optics 48 (34), H186-H195, 2009 | 191 | 2009 |
| Complex ambiguity-free Fourier domain optical coherence tomography through transverse scanning RA Leitgeb, R Michaely, T Lasser, SC Sekhar Optics letters 32 (23), 3453-3455, 2007 | 130 | 2007 |
| Vocalizations of wild Asian elephants (Elephas maximus): structural classification and social context S Nair, R Balakrishnan, CS Seelamantula, R Sukumar The Journal of the Acoustical Society of America 126 (5), 2768-2778, 2009 | 81 | 2009 |
| Adaptive Savitzky-Golay filtering in non-Gaussian noise A John, J Sadasivan, CS Seelamantula IEEE Transactions on Signal Processing 69, 5021-5036, 2021 | 80 | 2021 |
| An iterative algorithm for phase retrieval with sparsity constraints: application to frequency domain optical coherence tomography S Mukherjee, CS Seelamantula 2012 IEEE International Conference on Acoustics, Speech and Signal …, 2012 | 76 | 2012 |
| Snakes with an ellipse-reproducing property R Delgado-Gonzalo, P Thévenaz, CS Seelamantula, M Unser IEEE Transactions on Image Processing 21 (3), 1258-1271, 2011 | 76 | 2011 |
| Rim-to-disc ratio outperforms cup-to-disc ratio for glaucoma prescreening JRH Kumar, CS Seelamantula, YS Kamath, R Jampala Scientific reports 9 (1), 7099, 2019 | 69 | 2019 |
| A convolutional neural network approach for abnormality detection in wireless capsule endoscopy AK Sekuboyina, ST Devarakonda, CS Seelamantula 2017 IEEE 14th international symposium on biomedical imaging (ISBI 2017 …, 2017 | 69 | 2017 |
| Wavelet-based reconstruction for unlimited sampling S Rudresh, A Adiga, BA Shenoy, CS Seelamantula 2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018 | 68 | 2018 |
| Super-resolution reconstruction in frequency-domain optical-coherence tomography using the finite-rate-of-innovation principle CS Seelamantula, S Mulleti IEEE Transactions on Signal Processing 62 (19), 5020-5029, 2014 | 58 | 2014 |
| Fienup algorithm with sparsity constraints: Application to frequency-domain optical-coherence tomography S Mukherjee, CS Seelamantula IEEE Transactions on Signal Processing 62 (18), 4659-4672, 2014 | 58 | 2014 |
| TDOA-based multiple acoustic source localization without association ambiguity H Sundar, TV Sreenivas, CS Seelamantula IEEE/ACM Transactions on Audio, Speech, and Language Processing 26 (11 …, 2018 | 56 | 2018 |
| A generalized sampling method for finite-rate-of-innovation-signal reconstruction CS Seelamantula, M Unser IEEE Signal Processing Letters 15, 813-816, 2008 | 55 | 2008 |
| ℓ1-K-SVD: A robust dictionary learning algorithm with simultaneous update S Mukherjee, R Basu, CS Seelamantula Signal Processing 123, 42-52, 2016 | 47 | 2016 |
| Ellipse fitting using the finite rate of innovation sampling principle S Mulleti, CS Seelamantula IEEE Transactions on Image Processing 25 (3), 1451-1464, 2015 | 47 | 2015 |
| Gammatone wavelet cepstral coefficients for robust speech recognition A Adiga, M Magimai, CS Seelamantula 2013 IEEE international conference of IEEE region 10 (TENCON 2013), 1-4, 2013 | 47 | 2013 |
| Exact complex-wave reconstruction in digital holography CS Seelamantula, N Pavillon, C Depeursinge, M Unser Journal of the Optical Society of America A 28 (6), 983-992, 2011 | 47 | 2011 |
| Exact and efficient signal reconstruction in frequency-domain optical-coherence tomography CS Seelamantula, ML Villiger, RA Leitgeb, M Unser Journal of the Optical Society of America A 25 (7), 1762-1771, 2008 | 47 | 2008 |
| Signal-to-noise ratio estimation using higher-order moments SC Sekhar, TV Sreenivas Signal Processing 86 (4), 716-732, 2006 | 41 | 2006 |
Michael UnserProfessor, Biomedical Imaging Group, Ecole Polytechnique Fédérale de Lausanne (EPFL), SwitzerlandVerified email at epfl.ch
