| A weakly supervised consistency-based learning method for covid-19 segmentation in ct images I Laradji, P Rodriguez, O Manas, K Lensink, M Law, L Kurzman, W Parker, ... Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2021 | 90 | 2021 |
| IMEXnet a forward stable deep neural network E Haber, K Lensink, E Treister, L Ruthotto International Conference on Machine Learning, 2525-2534, 2019 | 45 | 2019 |
| A weakly supervised region-based active learning method for COVID-19 segmentation in CT images I Laradji, P Rodriguez, F Branchaud-Charron, K Lensink, P Atighehchian, ... arXiv preprint arXiv:2007.07012, 2020 | 24 | 2020 |
| Full-waveform inversion, part 3: Optimization P Witte, M Louboutin, K Lensink, M Lange, N Kukreja, F Luporini, ... The Leading Edge 37 (2), 142-145, 2018 | 24 | 2018 |
| Fully hyperbolic convolutional neural networks K Lensink, B Peters, E Haber Research in the Mathematical Sciences 9 (4), 60, 2022 | 15 | 2022 |
| Fluid flow mass transport for generative networks J Lin, K Lensink, E Haber arXiv preprint arXiv:1910.01694, 2019 | 9 | 2019 |
| Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision I Laradji, P Rodriguez, O Manas, K Lensink, M Law, L Kurzman, W Parker, ... | 7 | 2021 |
| Fully reversible neural networks for large-scale surface and sub-surface characterization via remote sensing B Peters, E Haber, K Lensink arXiv preprint arXiv:2003.07474, 2020 | 7 | 2020 |
| Symmetric block-low-rank layers for fully reversible multilevel neural networks B Peters, E Haber, K Lensink arXiv preprint arXiv:1912.12137, 2019 | 5 | 2019 |
| Accelerating ideation & innovation cheaply in the cloud the power of abstraction, collaboration & reproducibility FJ Herrmann, C Jones, G Gorman, J Hückelheim, K Lensink, P Kelly, ... 4th EAGE Workshop on Highperformance Computing,(EAGE HPC Workshop, Dubai), 2019 | 5 | 2019 |
| Segmentation of pulmonary opacification in chest ct scans of covid-19 patients K Lensink, I Laradji, M Law, PE Barbano, S Nicolaou, W Parker, E Haber arXiv preprint arXiv:2007.03643, 2020 | 4 | 2020 |
| A soft labeling approach to develop automated algorithms that incorporate uncertainty in pulmonary opacification on chest CT using COVID-19 pneumonia K Lensink, FJ Lo, RL Eddy, M Law, I Laradji, E Haber, S Nicolaou, ... Academic Radiology 29 (7), 994-1003, 2022 | 2 | 2022 |
