Julia A. Schnabel
Erwin Rommel Str. 1
Erlangen, BY 91058, Germany
Erlangen, BY 91058, Germany
Last Updated: 09/26/2026
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Found 109 publications
UNICORN: a deep learning model for integrating multi-stain data in histopathology.
Journal: NPJ digital medicine
Published: May 20, 2026
TomoGraphView: 3D medical image classification with omnidirectional slice representations and graph neural networks.
Journal: Medical image analysis
Published: December 17, 2025
REECAP: Contrastive learning of retinal aging reveals genetic loci linking morphology to eye disease.
Journal: medRxiv : the preprint server for health sciences
Published: December 03, 2025
Progressive growing of patch size: Curriculum learning for accelerated and improved medical image segmentation.
Journal: Medical image analysis
Published: October 30, 2025
Segmenting Whole-Body MRI and CT for Multiorgan Anatomic Structure Delineation.
Journal: Radiology. Artificial intelligence
Published: August 06, 2025
Fusing data from CT deep learning, CT radiomics and peripheral blood immune profiles to diagnose lung cancer in a cohort of patients experiencing symptoms.
Journal: EBioMedicine
Published: May 08, 2025
Fréchet radiomic distance (FRD): A versatile metric for comparing medical imaging datasets.
Journal: Medical image analysis
Published: May 08, 2025
PISCO: Self-supervised k-space regularization for improved neural implicit k-space representations of dynamic MRI.
Journal: Medical image analysis
Published: February 10, 2025
FUTURE-AI: international consensus guideline for trustworthy and deployable artificial intelligence in healthcare.
Journal: BMJ (Clinical research ed.)
Published: February 05, 2025
Agreement of image quality metrics with radiological evaluation in the presence of motion artifacts.
Agreement of image quality metrics with radiological evaluation in the presence of motion artifacts.
Journal: Magma (New York, N.Y.)
Published: February 05, 2025
Last Updated: 09/26/2026