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Jana Fragemann

Jana Fragemann

PhD Student

Institute for AI in Medicine, Germany

    Jana is a mathematician by training, having completed her masters at the University Duisburg Essen. In her PhD research at IKIM she is working on analyzing the latent space representations of supervised and unsupervised generative models for radiological data. The aim of disentangling the latent space is to identify biomarkers for oncological disease progression and to predict patient survival parameters.

    Latest

    • Spacewalker: Traversing Representation Spaces for Fast Interactive Exploration and Annotation of Unstructured Data
    • Designing and Implementing an Interactive Cloud Platform for Teaching Machine Learning with Medical Data
    • Designing and Implementing an Interactive Cloud Platform for Teaching Machine Learning with Medical Data
    • MedShapeNet -- A Large-Scale Dataset of 3D Medical Shapes for Computer Vision
    • Evaluation of thresholding methods for the quantifcation of 68Ga‑PSMA‑11 PET molecular tumor volume and their efect on survival prediction in patients with advanced prostate cancer undergoing 177Lu‑PSMA‑617 radioligand therapy
    • AutoPET Challenge: Combining nn-Unet with Swin UNETR Augmented by Maximum Intensity Projection Classifier
    • Training beta-VAE by Aggregating a Learned Gaussian Posterior with a Decoupled Decoder
    • Review of Disentanglement Approaches for Medical Applications: Towards Solving the Gordian Knot of Generative Models in Healthcare

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