A Deep Invertible 3-D Facial Shape Model for Interpretable Genetic Syndrome Diagnosis-Reference-Cited by-同舟云学术

A Deep Invertible 3-D Facial Shape Model for Interpretable Genetic Syndrome Diagnosis

Published:2022-07 Issue:7 Volume:26 Page:3229-3239
ISSN:2168-2194
Container-title:IEEE Journal of Biomedical and Health Informatics
language:
Short-container-title:IEEE J. Biomed. Health Inform.

Author:

Bannister Jordan J.¹^ORCID,Wilms Matthias²^ORCID,Aponte J. David³,Katz David C.³,Klein Ophir D.⁴,Bernier Francois P. J.⁵,Spritz Richard A.⁶,Hallgrimsson Benedikt³^ORCID,Forkert Nils D.²^ORCID

Affiliation:

1. Biomedical Engineering Graduate Program, University of Calgary, Calgary, AB, Canada

2. Department of Radiology, the Alberta Children’s Hospital Research Institute, and the Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada

3. Department of Cell Biology and Anatomy, the Alberta Children’s Hospital Research Institute and the McCaig Bone and Joint Institute, University of Calgary, Calgary, AB, Canada

4. Program in Craniofacial Biology and the Department of Orofacial Sciences, University of California, San Francisco, CA, USA

5. Department of Medical Genetics and the Alberta Children’s Hospital Research Institute, University of Calgary, Calgary, AB, Canada

6. Human Medical Genetics and Genomics Program and the Department of Pediatrics, University of Colorado School of Medicine, Aurora, CO, USA

Funder

National Institutes of Health

Canada Research Chairs

Calgary Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Health Information Management,Electrical and Electronic Engineering,Computer Science Applications,Health Informatics

Link

http://xplorestaging.ieee.org/ielx7/6221020/9813470/09749923.pdf?arnumber=9749923

Reference45 articles.

1. How can I explain this to you? An empirical study of deep neural network explanation methods;jeyakumar;Adv Neural Inf Process Syst,0

2. Bidirectional Modeling and Analysis of Brain Aging with Normalizing Flows

3. Guided image generation with conditional invertible neural networks;ardizzone;CoRR,2019

4. PointFlow: 3D Point Cloud Generation With Continuous Normalizing Flows

5. C-Flow: Conditional Generative Flow Models for Images and 3D Point Clouds

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