Publications

The full list of publications has moved to: https://bioshape.ece.ucsb.edu/publications.

 

Conferences with peer-reviews

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Miolane, N., Holmes, S.: Learning Weighted Submanifolds With Variational Autoencoders and Riemannian Variational Autoencoders. Conference of Computer Vision and Pattern Recognition. (CVPR) (2020).

 
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Miolane, N., Poitevin, F., Li, Y.-T., Holmes, S.: Estimation of Orientation and Camera Parameters from Cryo-Electron Microscopy Images with Variational Autoencoders and Generative Adversarial Networks. Three Dimensional Electron Microscopy Gordon Research Conference (GRC) (2020).

 
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Mathe, J., Miolane, N., Sebastien, N., Lequeux, J. PVNet: A LRCN Architecture for Spatio-Temporal Photovoltaic Power Forecasting from Numerical Weather Prediction. Workshop on AI for climate change, International Conference on Machine Learning (ICML) (2019).

 
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Hou, B., Miolane N., Khanal B., Lee M., Alansary A., McDonagh S., Hajnal J., Rueckert D., Glocker B., Kainz B. Computing CNN Loss and Gradients for Pose Estimation with Riemannian Geometry. International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI). 2018. 

 

Miolane, N., Pennec, X., Holmes, S. Toward a unified geometric Bayesian framework for template estimation in Computational Anatomy. World Meeting of the International Society for Bayesian Analysis (ISBA). 2016. (Young Researcher Travel Award).

 

Miolane, N., Pennec, X. Biased estimators on Quotient spaces. International Conference on Geometric Sciences of Information (GSI). 2015. (Oral presentation).

 
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Miolane, N., Pennec, X. A survey of mathematical structures for extending 2D neurogeometry to 3D image processing. Medical Computer Vision Workshop, International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI). 2015. 

 

Miolane, N., Pennec, X. Statistics on Lie groups : A need to go beyond the pseudo-Riemannian framework. International Workshop on Bayesian Inference and Maximum Entropy Methods (MaxEnt).  2014. (Oral presentation)

 

Journals with peer-reviews

 
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Miolane, N., Holmes, S., Pennec, X.: Topologically constrained template estimation via Morse-Smale complices allows to control its statistical consistency. SIAM Journal on Applied Algebra and Geometry. 2018.

 
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Miolane, N., Holmes, S., Pennec, X.: Template shape estimation in Computational Anatomy: Correcting an asymptotic bias. SIAM Journal of Imaging Science. 10(2), pp. 808–844. 2017.

 

Miolane, N., Pennec, X.: Computing bi-invariant pseudo-metrics on Lie groups for consistent statistics. Entropy, 17(4), pp. 1850–1880. 2015. 

 
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Darmante, H., Bugnas, B., Dompsure, R.B.D., Barresi, L., Miolane, N., Pennec, X., de Peretti, F., Bronsard, N.: Analyse biométrique de l'anneau pelvien en 3 dimensions – à propos de 100 scanners. Revue de Chirurgie Orthopédique et Traumatologique 100 (7, Supplement), S24. 2014.

 

Ph.D Thesis

BOOK CHAPTER

  • Miolane, N., Devilliers, L., Pennec, X.: Riemannian Geometric Statistics in Medical Imaging. Statistics on shape spaces, Chapter: “Bias on estimation in quotient space and correction methods“. (2019)

Others

  • Miolane, N., Poitevin, F., Holmes, S. Exploring Cryo-EM Latent Space with Variational Autoencoders. Bio-X workshop on Cryo-Electron Microscopy, Stanford, USA. 2019. (Poster).

  • Poitevin, F., Li, Y.T., Miolane, N., Gati, C., Levitt, M. Convenience Tools to Explore Variability in Cryo-EM Data. Bio-X workshop on Cryo-Electron Microscopy, Stanford, USA, 2019. (Poster)

  • Miolane, N.: Statistics on Lie groups: can we obtain a consistent framework with pseudo-Riemannian metrics? Workshop on Geometrical Models in Vision, Institut Poincare, Paris. 2014. (Poster).

  • Miolane, N., Khanal, B.Statistics on Lie groups for Computational Anatomy. Video for the Educational Challenge of the 17th International Conference on Medical Image Computing and Computer Assisted Intervention, MIT Boston. 2014. (Video, 1st Popular Prize).

  • Miolane, N.: Defining a mean on Lie groups. Master Thesis. Imperial College London and INRIA Asclepios Team. 2013.