Julia A. Schnabel

14 papers · 2019–2026 · 3 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Bronze ⚡ Prolific Year · Productive

💎 Century Club · Bronze 🚀 Conference Pioneer

Venues

MICCAI (11) MIDL (2) ICCV (1)

Top co-authors

Richard Osuala (3) Cosmin I. Bercea (3) Veronika Spieker (3) Daniel M. Lang (3) Daniel Rueckert (3) Kerstin Hammernik (2) Lina Felsner (2) Tingying Peng (2) Hannah Eichhorn (2) Karim Lekadir (2)

Research topics

Deep Learning (3) Computer Vision (1) Interdisciplinary (1) Machine Learning (1) Domain-Specific (1) Learning Types (1) Models (1) Optimization & Theory (1) Processing (1) Science (1) Techniques (1)

Keywords

representation learning (1) contrastive learning (1) image restoration (1) gradient-based optimization (1) multimodal learning (1) medical image segmentation (1) genome-wide association study (1) disease risk prediction (1) differentiable algorithm (1) medical image registration (1) cardiac mr segmentation (1) motion artefact correction (1) k-space reconstruction (1) skeletonization algorithm (1) 3d skeletonization (1)

Papers

GEMCONT: Genetics-based Multimodal Contrastive Learning Enhances Phenotypic embeddings and Boosts Genetic Discovery MIDL 2026 Influence of Classification Task and Distribution Shift Type on OOD Detection in Fetal Ultrasound MICCAI 2025 Lightweight Data-Free Denoising for Detail-Preserving Biomedical Image Restoration MICCAI 2025 Temporal Neural Cellular Automata: Application to modeling of contrast enhancement in breast MRI MICCAI 2025 Data-Driven Tissue- and Subject-Specific Elastic Regularization for Medical Image Registration MICCAI 2024 Diffusion Models with Implicit Guidance for Medical Anomaly Detection MICCAI 2024 DinoBloom: A Foundation Model for Generalizable Cell Embeddings in Hematology MICCAI 2024 Interpretable Representation Learning of Cardiac MRI via Attribute Regularization MICCAI 2024 Physics-Informed Deep Learning for Motion-Corrected Reconstruction of Quantitative Brain MRI MICCAI 2024 Progressive Growing of Patch Size: Resource-Efficient Curriculum Learning for Dense Prediction Tasks MICCAI 2024 Self-Supervised k-Space Regularization for Motion-Resolved Abdominal MRI Using Neural Implicit k-Space Representations MICCAI 2024 Towards Learning Contrast Kinetics with Multi-Condition Latent Diffusion Models MICCAI 2024 A Skeletonization Algorithm for Gradient-Based Optimization ICCV 2023 High-quality segmentation of low quality cardiac MR images using k-space artefact correction MIDL 2019