Global Space Modelling Of Biological Processes With Cross-sectional Data-Reference-Cited by-同舟云学术

Global Space Modelling Of Biological Processes With Cross-sectional Data

Published:2023-12-15 Issue: Volume: Page:1-8
ISSN:
Container-title:Proceedings of the Fourteenth Indian Conference on Computer Vision, Graphics and Image Processing
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Author:

Thottupattu Alphin J¹^ORCID,Sivaswamy Jayanthi¹^ORCID,Krishnan Venky²^ORCID

Affiliation:

1. International Institute of Information Technology Hyderabad, IN

2. TIFR CAM Bangalore, IN

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3627631.3627666

Reference19 articles.

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4. A. Bône M. Louis B. Martin and S. Durrleman. 2018. Deformetrica 4: An Open-Source Software for Statistical Shape Analysis. In Shape in Medical Imaging. ShapeMI 2018(Lecture Notes in Computer Science Vol. 11167) M. Reuter C. Wachinger H. Lombaert B. Paniagua M. Lüthi and B. Egger (Eds.). Springer. https://doi.org/10.1007/978-3-030-04747-4_1

5. Juliette Chevallier, Stéphane Oudard, and Stéphanie Allassonniére. 2017. Learning spatiotemporal piecewise-geodesic trajectories from longitudinal manifold-valued data. Neural Information Processing Systems 2017. https://hal.archives-ouvertes.fr/hal-01646617 Poster.