| Convolutional neural networks for automated seismic interpretation AU Waldeland, AC Jensen, LJ Gelius, AHS Solberg The Leading Edge 37 (7), 529-537, 2018 | 222 | 2018 |
| An approach to multibeam covariance matrices for adaptive beamforming in ultrasonography AC Jensen, A Austeng IEEE transactions on ultrasonics, ferroelectrics, and frequency control 59 …, 2012 | 52 | 2012 |
| Coherent plane-wave compounding and minimum variance beamforming A Austeng, CIC Nilsen, AC Jensen, SP Näsholm, S Holm 2011 IEEE International Ultrasonics Symposium, 2448-2451, 2011 | 51 | 2011 |
| Fast hyperspectral feature reduction using piecewise constant function approximations AC Jensen, AS Solberg IEEE Geoscience and Remote Sensing Letters 4 (4), 547-551, 2007 | 50 | 2007 |
| Sparse inverse covariance estimates for hyperspectral image classification A Berge, AC Jensen, AHS Solberg IEEE Transactions on Geoscience and Remote Sensing 45 (5), 1399-1407, 2007 | 43 | 2007 |
| Semi-supervised nearest mean classification through a constrained log-likelihood M Loog, AC Jensen IEEE transactions on neural networks and learning systems 26 (5), 995-1006, 2014 | 31 | 2014 |
| The iterative adaptive approach in medical ultrasound imaging AC Jensen, A Austeng IEEE transactions on ultrasonics, ferroelectrics, and frequency control 61 …, 2014 | 25 | 2014 |
| Regression approaches to small sample inverse covariance matrix estimation for hyperspectral image classification AC Jensen, A Berge, AS Solberg IEEE transactions on geoscience and remote sensing 46 (10), 2814-2822, 2008 | 23 | 2008 |
| Applying Thomson's multitaper approach to reduce speckle in medical ultrasound imaging AC Jensen, SP Nasholm, CIC Nilsen, A Austeng, S Holm IEEE transactions on ultrasonics, ferroelectrics, and frequency control 59 …, 2012 | 20 | 2012 |
| On measuring and quantifying performance: error rates, surrogate loss, and an example in semi-supervised learning M Loog, JH Krijthe, AC Jensen Handbook of Pattern Recognition and Computer Vision, 53-68, 2016 | 14 | 2016 |
| Constrained log-likelihood-based semi-supervised linear discriminant analysis M Loog, AC Jensen Structural, Syntactic, and Statistical Pattern Recognition: Joint IAPR …, 2012 | 9 | 2012 |
| Using multiscale spectra in regularizing covariance matrices for hyperspectral image classification AC Jensen, M Loog, AHS Solberg IEEE transactions on geoscience and remote sensing 48 (4), 1851-1859, 2010 | 9 | 2010 |
| How best to study the learning organization N Nguyen, JØ Hansen, A Jensen | 5 | 2019 |
| Capon beamforming applied to second-harmonic ultrasound experimental data SP Näsholm, A Austeng, AC Jensen, CIC Nilsen, S Holm 2011 IEEE International Ultrasonics Symposium, 2217-2220, 2011 | 5 | 2011 |
| Image amplitude estimation with the minimum variance beamformer A Austeng, AC Jensen, JF Synnevaag, S Holm 2009 IEEE International Ultrasonics Symposium, 2355-2358, 2009 | 5 | 2009 |
| Introducing training and parameter tuning for KOSP classification of hyperspectral images L Capobianco, L Carli, A Garzelli, F Nencini Image and Signal Processing for Remote Sensing XIII 6748, 97-108, 2007 | 5 | 2007 |
| A multitaper approach to speckle reduction for medical ultrasound imaging AC Jensen, CIC Nilsen, A Austeng, SP Näsholm, S Holm 2011 IEEE International Ultrasonics Symposium, 397-400, 2011 | 4 | 2011 |
| Opportunity domains for new entrants in the circular economy: A keyword-in-context analysis of norwegian RD tax incentive projects RR Hermann, A Jensen, P Gianiodis Research handbook of innovation for a circular economy, 316-325, 2021 | 3 | 2021 |
| Speckle reduction using adaptive receive-side compounding AC Jensen, A Austeng IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control 68 …, 2020 | 3 | 2020 |
| Use of the minimum variance beamformer in synthetic aperture sonar imaging A Austeng, AC Jensen, CIC Nilsen, HJ Callow, RE Hansen Proceedings of Meetings on Acoustics 17 (1), 2012 | 3 | 2012 |
