Institution · Object Research Systems (Canada)
Most cited papers from Object Research Systems (Canada)
What are the most cited papers from Object Research Systems (Canada)?
The most cited paper from Object Research Systems (Canada) is "Properties and applications of additively manufactured metallic cellular materials: A review" (Anton du Plessis, Nima Razavi, M. Benedetti et al., 2021), with 627 citations. Next come "Automated segmentation of computed tomography images of fiber-reinforced composites by deep learning" (117) and "Convolutional networks for kidney segmentation in contrast-enhanced CT scans" (97).
Showing 50 of 61 papers. Every paper with more than 4 citations is listed.
| # | Paper | ||
|---|---|---|---|
| 1 | Properties and applications of additively manufactured metallic cellular materials: A review Anton du Plessis, Nima Razavi, M. Benedetti et al. · Progress in Materials Science | 29 Dec 2021 | 627 |
| 2 | Automated segmentation of computed tomography images of fiber-reinforced composites by deep learning Aly Badran, David B. Marshall, Zacharie Legault et al. · Journal of Materials Science | 8 Sep 2020 | 117 |
| 3 | Convolutional networks for kidney segmentation in contrast-enhanced CT scans William Thong, Samuel Kadoury, Nicolas Piché et al. · Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization | 28 Apr 2016 | 97 |
| 4 | Meta-level Programming with CodA Jeff McAffer · Lecture notes in computer science | 11 Nov 2007 | 92 |
| 5 | Application of Deep Learning Convolutional Neural Networks for Internal Tablet Defect Detection: High Accuracy, Throughput, and Adaptability Xiangyu Ma, Nada Kittikunakorn, Bradley Sorman et al. · Journal of Pharmaceutical Sciences | 23 Jan 2020 | 91 |
| 6 | Dragonfly as a Platform for Easy Image-based Deep Learning Applications Ruslana Makovetsky, Nicolas Piché, Mike Marsh · Microscopy and Microanalysis | Aug 2018 | 91 |
| 7 | On the efficiency of machine learning for fatigue assessment of post-processed additively manufactured AlSi10Mg Erfan Maleki, Sara Bagherifard, Nima Razavi et al. · International Journal of Fatigue | 14 Mar 2022 | 79 |
| 8 | Artificial Intelligence in Asset Management Söhnke M. Bartram, Jürgen Branke, Mehrshad Motahari · SSRN Electronic Journal | 2020 | 74 |
| 9 | Crossfibrillar mineral tessellation in normal and Hyp mouse bone as revealed by 3D FIB-SEM microscopy Daniel J. Buss, Natalie Reznikov, Marc D. McKee · Journal of Structural Biology | 14 Aug 2020 | 73 |
| 10 | Biological stenciling of mineralization in the skeleton: Local enzymatic removal of inhibitors in the extracellular matrix Natalie Reznikov, Betty Hoac, Daniel J. Buss et al. · Bone | 23 May 2020 | 71 |
| 11 | Seeded ND medical image segmentation by cellular automaton on GPU Claude Kauffmann, Nicolas Piché · International Journal of Computer Assisted Radiology and Surgery | 31 Jul 2009 | 60 |
| 12 | Deep Learning-Based Segmentation of Cryo-Electron Tomograms Jessica E. Heebner, Carson J. Purnell, Ryan K. Hylton et al. · Journal of Visualized Experiments | 11 Nov 2022 | 57 |
| 13 | Technologies for a Web object model Frank Manola · IEEE Internet Computing | 1999 | 55 |
| 14 | Orientation-dependent fatigue assessment of Ti6Al4V manufactured by L-PBF: Size of surface features and shielding effect L. Barricelli, L. Patriarca, Anton du Plessis et al. · International Journal of Fatigue | 17 Nov 2022 | 45 |
| 15 | Scanning Electron Microscopy versus Transmission Electron Microscopy for Material Characterization: A Comparative Study on High-Strength Steels Nicolas Brodusch, S. Brahimi, Evelin Barbosa de Mélo et al. · Scanning | 4 May 2021 | 44 |
| 16 | Volumetric Reconstruction of a Human Retinal Pigment Epithelial Cell Reveals Specialized Membranes and Polarized Distribution of Organelles Maximilian Lindell, Deepayan Kar, Aleksandra Sedova et al. · Investigative Ophthalmology & Visual Science | 22 Dec 2023 | 42 |
| 17 | Effects of processing parameters on pore defects in blue laser directed energy deposition of aluminum by in and ex situ observation An Wang, Qianglong Wei, Zijue Tang et al. · Journal of Materials Processing Technology | 20 Jun 2023 | 42 |
| 18 | A Review of Image-Based Simulation Applications in High-Value Manufacturing Llion Marc Evans, Emrah Sözümert, Bethany E. Keenan et al. · Archives of Computational Methods in Engineering | 18 Jan 2023 | 41 |
| 19 | System Project Failure: The Heuristics of Risk David Mccomb, Jill Y. Smith · Journal of Information Systems Management | 1991 | 41 |
| 20 | Processing of micro-CT images of granodiorite rock samples using convolutional neural networks (CNN), Part I: Super-resolution enhancement using a 3D CNN Alexandra Roslin, Mike Marsh, Nicolas Piché et al. · Minerals Engineering | 18 Sep 2022 | 40 |
| 21 | Influence of mean stress and building orientation on the fatigue properties of sub-unital thin-strut miniaturized Ti6Al4V specimens additively manufactured via Laser-Powder Bed Fusion Simone Murchio, Anton du Plessis, Valerio Luchin et al. · International Journal of Fatigue | 9 Dec 2023 | 38 |
| 22 | Deep learning for 3D imaging and image analysis in biomineralization research Natalie Reznikov, Daniel J. Buss, Benjamin Provencher et al. · Journal of Structural Biology | 9 Aug 2020 | 34 |
| 23 | Optimization of 3D network topology for bioinspired design of stiff and lightweight bone-like structures Ammar Alsheghri, Natalie Reznikov, Nicolas Piché et al. · Materials Science and Engineering C | 5 Mar 2021 | 33 |
| 24 | Escaping the Labyrinth of Bioinspiration: Biodiversity as Key to Successful Product Innovation Chris Broeckhoven, Anton du Plessis · Advanced Functional Materials | 4 Feb 2022 | 32 |
| 25 | Fatigue performance of shelled additively manufactured parts subjected to hot isostatic pressing Anton du Plessis, Nima Razavi, Di Qing Wan et al. · Additive manufacturing | 10 Jan 2022 | 31 |
| 26 | Cellular automaton for ultra-fast watershed transform on GPU Claude Kauffmann, Nicolas Piché · Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition | Dec 2008 | 31 |
| 27 | Accurate Multi-Material Decomposition in Dual-Energy CT: A Phantom Study Yi Xue, Xiaonan Sun, Xiuhua Hu et al. · IEEE Transactions on Computational Imaging | 6 Nov 2019 | 29 |
| 28 | Additive manufacturing powder feedstock characterization using X-ray tomography Fabrice Bernier, Rui Tahara, Mathieu Gendron · Metal Powder Report | 10 Feb 2018 | 29 |
| 29 | Altered topological blueprint of trabecular bone associates with skeletal pathology in humans Natalie Reznikov, Ammar Alsheghri, Nicolas Piché et al. · Bone Reports | 28 Apr 2020 | 25 |
| 30 | Steps Toward Automated Deprocessing of Integrated Circuits E.L. Principe, Navid Asadizanjani, Domenic J. Forte et al. · Proceedings - International Symposium for Testing and Failure Analysis | Nov 2017 | 25 |
| 31 | Processing of micro-CT images of granodiorite rock samples using convolutional neural networks (CNN), Part II: Semantic segmentation using a 2.5D CNN Alexandra Roslin, Mike Marsh, Benjamin Provencher et al. · Minerals Engineering | 27 Feb 2023 | 24 |
| 32 | Training Deep Neural Networks to Reconstruct Nanoporous Structures From FIB Tomography Images Using Synthetic Training Data Trushal Sardhara, Roland Can Aydin, Yong Li et al. · Frontiers in Materials | 28 Feb 2022 | 23 |
| 33 | A high‐resolution 3D atlas of the spectrum of tuberculous and COVID‐19 lung lesions Gordon A. Wells et al. · EMBO Molecular Medicine | 26 Oct 2022 | 21 |
| 34 | Clinical validation of semi-automated software for volumetric and dynamic contrast enhancement analysis of soft tissue venous malformations on Magnetic Resonance Imaging examination Véronique Caty, Claude Kauffmann, Josée Dubois et al. · European Radiology | 29 Nov 2013 | 19 |
| 35 | Osteoderms as calcium reservoirs: Insights from the lizard Ouroborus cataphractus Chris Broeckhoven, Anton du Plessis · Journal of Anatomy | 3 May 2022 | 15 |
| 36 | Deep Learning Convolutional Neural Networks for Pharmaceutical Tablet Defect Detection Xiangyu Ma, Nada Kittikunakorn, Bradley Sorman et al. · Microscopy and Microanalysis | 30 Jul 2020 | 14 |
| 37 | Influence of heat treatment on the mechanical performance of Ti21S octet truss lattice structure fabricated by laser powder bed fusion Alireza Jam, M. Pellizzari, Lorena Emanuelli et al. · Progress in Additive Manufacturing | 18 Aug 2023 | 13 |
| 38 | Technical note: Mapping of trabecular bone anisotropy and volume fraction in 3D using μCT images of the human calcaneus Natalie Reznikov, Huilin Liang, Marc D. McKee et al. · American Journal of Biological Anthropology | 14 Jan 2022 | 13 |
| 39 | Caught in the act: Diamond growth and destruction in the continental lithosphere Geoffrey Hamilton Howarth, Beth Kahle, P. E. Janney et al. · Geology | 29 Mar 2023 | 12 |
| 40 | Embedding ceramic components in metal structures with hybrid directed energy deposition Thomas A. Feldhausen, Bharat Yelamanchi, Alexander Gomez et al. · The International Journal of Advanced Manufacturing Technology | 7 Feb 2023 | 12 |
| 41 | Laser powder bed fusion of polyamide-composite for antibacterial applications: Characterization and properties Anna Martín Vilardell, Ina Yadroitsava, Winston Kagisho Curtis Wolf et al. · Materials Today Communications | 25 May 2022 | 12 |
| 42 | Simplifying and Streamlining Large-Scale Materials Image Processing with Wizard-Driven and Scalable Deep Learning Benjamin Provencher, Nicolas Piché, Mike Marsh · Microscopy and Microanalysis | Aug 2019 | 12 |
| 43 | Manufacturability of functionally graded porous β-Ti21S auxetic architected biomaterials produced by laser powder bed fusion: Comparison between 2D and 3D metrological characterization Lorena Emanuelli, Alireza Jam, Anton du Plessis et al. · International Journal of Bioprinting | 7 Apr 2023 | 11 |
| 44 | Spatial organization and connectivity of wood rays in Pinus massoniana xylem based on high-resolution μCT-assisted network analysis Lingyu Ma, Qiulu Meng, Xiaomei Jiang et al. · Planta | 26 Jun 2023 | 10 |
| 45 | Deep learning-based microstructure analysis of multi-component heterogeneous composites during preparation Haozhen Li, Chong Wei, Zixiong Cao et al. · Composites Part A Applied Science and Manufacturing | 28 Aug 2024 | 9 |
| 46 | X-ray computed tomography vs Archimedes method: a head-to-head comparison Tebogo Ledwaba, Busisiwe Mbuyisa, Byron Blakey-Milner et al. · MATEC Web of Conferences | 2023 | 9 |
| 47 | A comparison of fatigue analysis methods for L-PBF net-shape surfaces in Ti6Al4V parts L. Barricelli, L. Patriarca, Anton du Plessis et al. · Theoretical and Applied Fracture Mechanics | 20 Oct 2023 | 8 |
| 48 | Forget About Cleaning up Your Micrographs: Deep Learning Segmentation is Robust to Image Artifacts Peng Dong, Benjamin Provencher, Nabil Basim et al. · Microscopy and Microanalysis | 30 Jul 2020 | 8 |
| 49 | Dragonfly SegmentationTrainer - A General and User-Friendly Machine Learning Image Segmentation Solution Nicolas Piché, Isabelle Bouchard, Mike Marsh · Microscopy and Microanalysis | Jul 2017 | 8 |
| 50 | Optimising β-Ti21S Alloy Lattice Structures for Enhanced Femoral Implants: A Study on Mechanical and Biological Performance Lorena Emanuelli, Melika Babaei, Raffaele De Biasi et al. · Materials | 3 Jan 2025 | 7 |
Citations are OpenAlex's own counts, from its 2026-09-23 snapshot, so the ranking can differ from Google Scholar or Web of Science. A paper is listed for an institution when any of its authors gave it as an affiliation; retracted papers and papers whose citation count cannot be traced to citing works are left out, and a preprint and the article it became are shown once. Release dates are OpenAlex's: where a source gave only a month or a year, that is what is shown. How the lists are chosen.