| Convolutional networks for kidney segmentation in contrast-enhanced CT scans W Thong, S Kadoury, N Piché, CJ Pal Computer Methods in Biomechanics and Biomedical Engineering: Imaging …, 2018 | 104 | 2018 |
| Seeded ND medical image segmentation by cellular automaton on GPU C Kauffmann, N Piché International journal of computer assisted radiology and surgery 5, 251-262, 2010 | 77 | 2010 |
| Automated segmentation of computed tomography images of fiber-reinforced composites by deep learning A Badran, D Marshall, Z Legault, R Makovetsky, B Provencher, N Piché, ... Journal of Materials Science 55, 16273-16289, 2020 | 56 | 2020 |
| Application of deep learning convolutional neural networks for internal tablet defect detection: high accuracy, throughput, and adaptability X Ma, N Kittikunakorn, B Sorman, H Xi, A Chen, M Marsh, A Mongeau, ... Journal of Pharmaceutical Sciences 109 (4), 1547-1557, 2020 | 55 | 2020 |
| Dragonfly as a platform for easy image-based deep learning applications R Makovetsky, N Piche, M Marsh Microscopy and microanalysis 24 (S1), 532-533, 2018 | 50 | 2018 |
| Cellular automaton for ultra-fast watershed transform on GPU C Kauffmann, N Piche 2008 19th International Conference on Pattern Recognition, 1-4, 2008 | 45 | 2008 |
| Steps toward automated deprocessing of integrated circuits EL Principe, N Asadizanjani, D Forte, M Tehranipoor, R Chivas, ... ISTFA 2017: Proceedings from the 43rd International Symposium for Testing …, 2017 | 38 | 2017 |
| Deep learning for 3D imaging and image analysis in biomineralization research N Reznikov, DJ Buss, B Provencher, MD McKee, N Piché Journal of Structural Biology 212 (1), 107598, 2020 | 26 | 2020 |
| Scanning electron microscopy versus transmission electron microscopy for material characterization: a comparative study on high-strength steels N Brodusch, SV Brahimi, E Barbosa De Melo, J Song, S Yue, N Piché, ... Scanning 2021, 2021 | 23 | 2021 |
| Clinical validation of semi-automated software for volumetric and dynamic contrast enhancement analysis of soft tissue venous malformations on magnetic resonance imaging … V Caty, C Kauffmann, J Dubois, A Mansour, MF Giroux, V Oliva, N Piché, ... European radiology 24, 542-551, 2014 | 19 | 2014 |
| Altered topological blueprint of trabecular bone associates with skeletal pathology in humans N Reznikov, AA Alsheghri, N Piché, M Gendron, C Desrosiers, I Morozova, ... Bone Reports 12, 100264, 2020 | 18 | 2020 |
| Deep learning convolutional neural networks for pharmaceutical tablet defect detection X Ma, N Kittikunakorn, B Sorman, H Xi, A Chen, M Marsh, A Mongeau, ... Microscopy and Microanalysis 26 (S2), 1606-1609, 2020 | 11 | 2020 |
| Simplifying and streamlining large-scale materials image processing with wizard-driven and scalable deep learning B Provencher, N Piché, M Marsh Microscopy and Microanalysis 25 (S2), 402-403, 2019 | 11 | 2019 |
| Processing of micro-CT images of granodiorite rock samples using convolutional neural networks (CNN), Part I: Super-resolution enhancement using a 3D CNN A Roslin, M Marsh, N Piché, B Provencher, TR Mitchell, IA Onederra, ... Minerals Engineering 188, 107748, 2022 | 10 | 2022 |
| Optimization of 3D network topology for bioinspired design of stiff and lightweight bone-like structures A Alsheghri, N Reznikov, N Piché, MD McKee, F Tamimi, J Song Materials Science and Engineering: C 123, 112010, 2021 | 10 | 2021 |
| Dragonfly SegmentationTrainer-a general and user-friendly machine learning image segmentation solution N Piche, I Bouchard, M Marsh Microscopy and Microanalysis 23 (S1), 132-133, 2017 | 9 | 2017 |
| Training deep neural networks to reconstruct nanoporous structures from FIB tomography images using synthetic training data T Sardhara, RC Aydin, Y Li, N Piché, R Gauvin, CJ Cyron, M Ritter Frontiers in materials 9, 837006, 2022 | 8 | 2022 |
| A cellular automaton framework for image processing on gpu C Kauffmann, N Piché Pattern Recoginition, 353-375, 2009 | 8 | 2009 |
| Forget about cleaning up your micrographs: deep learning segmentation is robust to image artifacts P Dong, B Provencher, N Basim, N Piché, M Marsh Microscopy and Microanalysis 26 (S2), 1468-1469, 2020 | 7 | 2020 |
| Impact of contrast injection and stent-graft implantation on reproducibility of volume measurements in semiautomated segmentation of abdominal aortic aneurysm on computed … F Morin-Roy, C Kauffmann, A Tang, S Hadjadj, O Thomas, N Piché, ... European radiology 24, 1594-1601, 2014 | 7 | 2014 |
