Seven papers accepted at MICCAI 2024
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Diffusion Models with Implicit Guidance for Medical Anomaly Detection
Cosmin I. Bercea, Benedikt Wiestler, Daniel Rueckert, and Julia A. Schnabel
(https://arxiv.org/abs/2403.08464) -
Physics-Informed Deep Learning for Motion-Corrected Reconstruction of Quantitative Brain MRI
Hannah Eichhorn, Veronika Spieker, Kerstin Hammernik, Elisa Saks, Kilian Weiss, Christine Preibisch, and Julia A. Schnabel
(https://arxiv.org/abs/2403.08298) -
Progressive Growing of Patch Size: Resource-Efficient Curriculum Learning for Dense Prediction Tasks
Stefan M. Fischer, Lina Felsner, Daniel M. Lang, Richard Osuala, Johannes Kiechle, Jan C. Peeken, Julia A. Schnabel -
Interpretable Representation Learning of Cardiac MRI via Attribute Regularization
Maxime Di Folco, Cosmin I. Bercea, Emily Chan, Julia A. Schnabel
(https://arxiv.org/abs/2406.08282) -
Towards Learning Contrast Kinetics with Multi-Condition Latent Diffusion Models
Richard Osuala, Daniel M. Lang, Preeti Verma, Smriti Joshi, Apostolia Tsirikoglou, Grzegorz Skorupko, Kaisar Kushibar, Lidia Garrucho, Walter H. L. Pinaya, Oliver Diaz, Julia Schnabel, and Karim Lekadir
(https://arxiv.org/abs/2403.13890) -
Data-Driven Tissue- and Subject-Specific Elastic Regularization for Medical Image Registration
Anna Reithmeir, Lina Felsner, Rickmer Braren, Julia A. Schnabel, Veronika A. Zimmer -
Self-Supervised k-Space Regularization for Motion-Resolved Abdominal MRI Using Neural Implicit k-Space Representation
Veronika Spieker, Hannah Eichhorn, Jonathan K. Stelter, Wenqi Huang, Rickmer F. Braren, Daniel Rückert, Francisco Sahli Costabal, Kerstin Hammernik, Claudia Prieto, Dimitrios C. Karampinos, Julia A. Schnabel
(https://arxiv.org/abs/2404.08350)
Cosmin I. Bercea
Research Scientist
I am a postdoctoral researcher specializing in vision and multimodal learning for medical image analysis, with the current focus on developing vision-language models for generative downstream tasks.
Anna Reithmeir
Doctoral Researcher
My research interests include machine learning for image registration.
Hannah Eichhorn
Doctoral Researcher
Hannah Eichhorn’s research focuses on deep learning-based reconstruction of multi-parametric brain MRI.
Veronika Spieker
Doctoral Researcher
Veronika Spieker’s interests include AI-based methods for MR reconstrution and motion correction.
Richard Osuala
Doctoral Researcher (Visiting)
My research interests include medical image synthesis and generative models in cancer imaging.
Maxime Di Folco
Research Scientist
My research interest is the study of the cardiac function via machine learning methods, in particular representation learning methods that aim to acquire low dimensional representation of high dimensional data. I have a strong interest in cardiac remodelling (adaptation of the heart to its environment or a disease), notably the study of the deformation and shape aspects.
Stefan Fischer
Doctoral Researcher
My research interests include Radiooncology and Interpretable Machine Learning.