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Julia A. Schnabel

4 papers hereh-index 692 citations14 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author3
  • last author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV3
  • eess.IV1
same name
  • Julia A. Schnabel — 6 papers, h 3
  • Julia A. Schnabel — 3 papers, h 1
  • Julia A. Schnabel — 3 papers, h 2
  • Julia A. Schnabel — 3 papers, h 0
  • Julia A. Schnabel — 3 papers, h 6
  • Julia A. Schnabel — 2 papers, h 2

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

collaborators

4 papers

cs.CV2026

Dense Temporal Contrast Synthesis via Conditioned Latent Transport

Smriti Joshi, Apostolia Tsirikoglou, Daniel M. Lang +15

Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) is essential for breast cancer management, but reliance on gadolinium-based contrast agents (GBCAs) restricts use in…

cs.CV2026

Graph Representation Learning of Longitudinal Medical Imaging Trajectories for Treatment Response Prediction

Johannes Kiechle, Richard Osuala, Daniel M. Lang +5

In patients with breast cancer, pathological complete response (pCR) has been established as a clinically meaningful surrogate marker for long-term outcomes. While commonly treated…

cs.CV2025

Progressive Growing of Patch Size: Curriculum Learning for Accelerated and Improved Medical Image Segmentation

Stefan M. Fischer, Johannes Kiechle, Laura Daza +6

In this work, we introduce Progressive Growing of Patch Size, an automatic curriculum learning approach for 3D medical image segmentation. Our approach progressively increases the…

eess.IV2025

Simulating Dynamic Tumor Contrast Enhancement in Breast MRI using Conditional Generative Adversarial Networks

Richard Osuala, Smriti Joshi, Apostolia Tsirikoglou +6

This paper presents a method for virtual contrast enhancement in breast MRI, offering a promising non-invasive alternative to traditional contrast agent-based DCE-MRI acquisition.…

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