Julian Elisha Schön

Julian Elisha Schön

PhD fellow

Member of:

    ORCID: 0000-0003-4027-8624

    Publication year:
    All
    1 - 3 out of 3Page size: 10
    1. 2024
    2. 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

    3. 2023
    4. Published

      Explicit Temporal Embedding in Deep Generative Latent Models for Longitudinal Medical Image Synthesis

      Schön, Julian Elisha, Selvan, Raghav, Nygård, L., Vogelius, Ivan R. & Petersen, Jens, 13 Jan 2023, arxiv.org.

      Research output: Working paper › Preprint › Research

    5. 2022
    6. 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