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Anthony Paproki
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2020 – today
- 2024
- [j2]Anthony Paproki
, Olivier Salvado
Synthetic Data for Deep Learning in Computer Vision & Medical Imaging: A Means to Reduce Data Bias. ACM Comput. Surv. 56(11): 271:1-271:37 (2024) - 2022
- [i1]Mithun Lal, Anthony Paproki, Nariman Habili, Lars Petersson, Olivier Salvado
Learning Dense Correspondence from Synthetic Environments. CoRR abs/2203.12919 (2022)
2010 – 2019
- 2018
- [j1]Shekhar S. Chandra
A lightweight rapid application development framework for biomedical image analysis. Comput. Methods Programs Biomed. 164: 193-205 (2018) - 2017
- [b1]Anthony Paproki:
Automated Image Analysis of High-field and Dynamic Musculoskeletal MRI. University of Queensland, Australia, 2017 - 2016
- [c3]Anthony Paproki, Katharine J. Wilson, Rachel K. Surowiec, Charles P. Ho, Abinash Pant, Pierrick Bourgeat
Automated segmentation and T2-mapping of the posterior cruciate ligament from MRI of the knee: Data from the osteoarthritis initiative. ISBI 2016: 424-427 - [c2]Ales Neubert
Incremental shape learning of 3D surfaces of the knee, data from the osteoarthritis initiative. ISBI 2016: 881-884 - 2011
- [c1]Anthony Paproki
Automated 3D Segmentation and Analysis of Cotton Plants. DICTA 2011: 555-560
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last updated on 2024-08-23 18:30 CEST by the dblp team
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