Julian Elisha Schön
PhD fellow
Machine Learning
Universitetsparken 1, 2100 København Ø
ORCID: 0000-0003-4027-8624
1 - 3 out of 3Page size: 10
- 2024
- Published
Operating Critical Machine Learning Models in Resource Constrained Regimes
Selvan, Raghav, Schön, Julian Elisha & Dam, Erik Bjørnager, 2024, Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 Workshops: MTSAIL 2023, LEAF 2023, AI4Treat 2023, MMMI 2023, REMIA 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8–12, 2023, Proceedings. Springer, p. 325-335 Chapter 29. (Lecture Notes in Computer Science, Vol. 14394).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- 2023
- Published
- 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
Most downloads
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56
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Explicit Temporal Embedding in Deep Generative Latent Models for Longitudinal Medical Image Synthesis
Research output: Working paper › Preprint › Research
Published -
45
downloads
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
Published -
16
downloads
Operating Critical Machine Learning Models in Resource Constrained Regimes
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Published