Outside Pubs Referencing ShapeWorks

Last update on 8/16/2021

This page contains citations of publications that did not include NRBC personnel but referred to the Shapeworks software.

2021

Benjamín Gutiérrez-Becker, Ignacio Sarasua, and Christian Wachinger. Discriminative and generative models for anatomical shape analysis on point clouds with deep neural networks. Medical Image Analysis, 67:101852, 2021.

Philipp Kopper, Sebastian Pölsterl, Christian Wachinger, Bernd Bischl, Andreas Bender, and David Rügamer. Semi-structured deep piecewise exponential models. In Survival Prediction-Algorithms, Challenges and Applications, pages 40–53. PMLR, 2021.

Amy L Lenz, Nicola Krähenbühl, Andrew C Peterson, Rich J Lisonbee, Beat Hintermann, Charles L Saltzman, Alexej Barg, and Andrew E Anderson. Statistical shape modeling of the talocrural joint using a hybrid multi-articulation joint approach. Scientific reports, 11(1):1–14, 2021.

Gerard Martí-Juan, Gerard Sanroma-Guell, Raffaele Cacciaglia, Carles Falcon, Grégory Operto, José Luis Molinuevo, Miguel Ángel González Ballester, Juan Domingo Gispert, Gemma Piella, Alzheimer’s Disease Neuroimaging Initiative, et al. Nonlinear interaction between apoe ε 4 allele load and age in the hippocampal surface of cognitively intact individuals. Human brain mapping, 42(1):47–64, 2021.

Austin Tapp, Michel Audette, and James Bennett. Automatic generation and novel validation of patientspecific, anatomically inclusive scoliosis models for biomechanics-informed surgical planning. 2021.

2020

Benjamin Gutierrez Becker, Ignacio Sarasua, and Christian Wachinger. Discriminative and generative models for anatomical shape analysison point clouds with deep neural networks. arXiv preprint arXiv:2010.00820, 2020.

Tom Fletcher. Statistics on manifolds. In Riemannian Geometric Statistics in Medical Image Analysis, pages 39–74. Elsevier, 2020.

Rabia Haq, Jérôme Schmid, Roderick Borgie, Joshua Cates, and Michel A Audette. Deformable multi-surface segmentation of the spine for orthopedic surgery planning and simulation. Journal of medical imaging, 7(1):015002, 2020.

Nicola Krähenbuhl, Amy L Lenz, Rich J Lisonbee, Andrew C Peterson, Penny R Atkins, Beat Hintermann, Charles L Saltzman, Andrew E Anderson, and Alexej Barg. Morphologic analysis of the subtalar joint using statistical shape modeling. Journal of Orthopaedic Research®, 38(12):2625–2633, 2020.

Sene K Polamalu, Volker Musahl, and Richard E Debski. Tibiofemoral bony morphology features associated with acl injury and sex utilizing a 3-dimensional statistical shape modeling. Journal of Orthopaedic Research®, 2020.

Saurabh J Shigwan, Akshay V Gaikwad, and Suyash P Awate. Object segmentation with deep neural nets coupled with a shape prior, when learning from a training set of limited quality and small size. In 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), pages 1149–1153. IEEE, 2020.

2019

Brecca MM Gaffney, Travis J Hillen, Jeffrey J Nepple, John C Clohisy, and Michael D Harris. Statistical shape modeling of femur shape variability in female patients with hip dysplasia. Journal of Orthopaedic Research®, 37(3):665–673, 2019.

Benjamín Guti&iecute;rrez-Becker and Christian Wachinger. Learning a conditional generative model for anatomical shape analysis. In International Conference on Information Processing in Medical Imaging, pages 505–516. Springer, Cham, 2019.

Simone Macrì, Yoland Savriama, Imran Khan, and Nicolas Di-Poï. Comparative analysis of squamate brains unveils multi-level variation in cerebellar architecture associated with locomotor specialization. Nature communications, 10(1):1–16, 2019.

Sebastian Pölsterl, Ignacio Sarasua, Benjamín Gutiérrez-Becker, and Christian Wachinger. A wide and deep neural network for survival analysis from anatomical shape and tabular clinical data. In Joint European Conference on Machine Learning and Knowledge Discovery in Databases, pages 453–464. Springer, Cham, 2019.

2018

Erik T Bieging, Alan Morris, Brent D Wilson, Christopher J McGann, Nassir F Marrouche, and Joshua Cates. Left atrial shape predicts recurrence after atrial fibrillation catheter ablation. Journal of cardiovascular electrophysiology, 29(7):966–972, 2018.

Koji Higuchi, Joshua Cates, Gregory Gardner, Alan Morris, Nathan S Burgon, Nazem Akoum, and Nassir F Marrouche. The spatial distribution of late gadolinium enhancement of left atrial magnetic resonance imaging in patients with atrial fibrillation. JACC: Clinical Electrophysiology, 4(1):49–58, 2018.

Leo Joskowicz. Future perspectives on statistical shape models in computer-aided orthopedic surgery: Beyond statistical shape models and on to big data. In Computer Assisted Orthopaedic Surgery for Hip and Knee, pages 199–206. Springer, Singapore, 2018.

Emily J Mastej, Emily M DeBoer, Stephen M Humphries, Marlijne C Cook, Kendall S Hunter, Deborah R Liptzin, Jason P Weinman, and Robin R Deterding. Lung and airway shape in neuroendocrine cell hyperplasia of infancy. Pediatric radiology, 48(12):1745–1754, 2018.

Nicolas Navarro and A Murat Maga. Genetic mapping of molar size relations identifies inhibitory locus for third molars in mice. Heredity, 121(1):1–11, 2018.

2017

Michel A Audette, Tanweer Rashid, Shrabani Ghosh, Nirmal Patel, and Sharmin Sultana. Towards an anatomical modeling pipeline for simulation and accurate navigation for brain and spine surgery. In Proceedings of the Summer Simulation Multi-Conference, pages 1–12, 2017.

NI Soomro and SM Bakhtiar. Image-based modeling and precision medicine. In Progress and Challenges in Precision Medicine, pages 141–170. Academic Press, 2017.

Sharmin Sultana. Development of an atlas-based segmentation of cranial nerves using shape-aware discrete deformable models for neurosurgical planning and simulation. 2017.

Zhensong Wang, Lifang Wei, Li Wang, Yaozong Gao, Wufan Chen, and Dinggang Shen. Hierarchical vertex regression-based segmentation of head and neck ct images for radiotherapy planning. IEEE Transactions on Image Processing, 27(2):923–937, 2017.

Pengdong Xiao, Nick Barnes, and Tiberio Caetano. 3-d shape matching and non-rigid correspondence for hippocampi based on markov random fields. IEEE Transactions on Image Processing, 27(3):1271–1281, 2017.

Guoyan Zheng, Shuo Li, and Gabor Szekely. Statistical shape and deformation analysis: methods, implementation and applications, 2017.

2016

Saurabh J Shigwan and Suyash P Awate. Hierarchical generative modeling and monte-carlo em in riemannian shape space for hypothesis testing. In International Conference on Medical Image Computing and Computer-Assisted Intervention, pages 191--200. Springer, Cham, 2016.

Yang Gao, Yongjie Zhang, and Prahlad G Menon. 3d shape comparison of cardiac geometries using a laplace spectral-shape-matching approach. Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, 4(2):86--97, 2016.

Kenneth K Milligan. Morphometric Analysis of the Sacrum Using Statistical Shape Modeling. PhD thesis, University of Colorado Denver, 2016.

Michel A Audette. Statistical shape model construction of lumbar vertebrae and intervertebral discs in segmentation for discectomy surgery simulation. In Computational Methods and Clinical Applications for Spine Imaging: Third International Workshop and Challenge, CSI 2015, Held in Conjunction with MICCAI 2015, Munich, Germany, October 5, 2015, Proceedings, volume 9402, page 85. Springer, 2016.

P Thomas Fletcher and Miaomiao Zhang. Probabilistic geodesic models for regression and dimensionality reduction on riemannian manifolds. In Riemannian Computing in Computer Vision, pages 101--121. Springer, 2016.

Yi Hong. Image and shape analysis for spatiotemporal data. 2016.

Miaomiao Zhang. Bayesian models on manifolds for image registration and statistical shape analysis. PhD thesis, The University of Utah, 2016.

2014

Yi Gao, Tammy Riklin-Raviv, Sylvain Bouix. "Shape analysis, a field in need of careful validation" Human Brain Mapping, Vol. 35 Issue 6, 2014.
DOI: 10.1002/hbm.22525
http://onlinelibrary.wiley.com/doi/10.1002/hbm.22525/full