Julian Elisha Schön
PhD fellow
Machine Learning
Universitetsparken 1, 2100 København Ø
ORCID: 0000-0003-4027-8624
1 - 1 out of 1Page size: 10
- 2022
- Published
Interpreting Latent Spaces of Generative Models for Medical Images using Unsupervised Methods
Schön, Julian Elisha, Selvan, Raghav & Petersen, Jens, 2022, Deep Generative Models: Second MICCAI Workshop, DGM4MICCAI 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings. Springer, p. 24-33 (Lecture Notes in Computer Science, Vol. 13609).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
ID: 283746080
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Explicit Temporal Embedding in Deep Generative Latent Models for Longitudinal Medical Image Synthesis
Research output: Working paper › Preprint › Research
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43
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Interpreting Latent Spaces of Generative Models for Medical Images using Unsupervised Methods
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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12
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Operating Critical Machine Learning Models in Resource Constrained Regimes
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Published