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researcher

Robert Siepmann

3 papers here

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

author position
  • middle author2

Across the 2 of 3 papers where every author was matched, so the position is known.

fields
  • cs.CV1
  • eess.IV1
  • physics.med-ph1
ORCID 0000-0002-4608-5180

identity via Semantic Scholar / OpenAlex

most citedReconstruction of Patient-Specific Confounders in AI-based Radiologic Image Interpretation using Generative Pretraining

1 citations · 1 across the 3 of their papers we have counts for

collaborators

3 papers

physics.med-ph2025

T2 Radiomic Features Are More Sensitive Than Mean T2 for Cartilage Load Response: A Stress MRI Study

Teresa Lemainque, Philipp Schad, Simon Westfechtel +6

Objective: To assess response-to-loading in a human cadaveric knee joint model under different loading conditions before and after meniscectomy Design: In this prospective study, s…

eess.IV2025

Enhancing Privacy: The Utility of Stand-Alone Synthetic CT and MRI for Tumor and Bone Segmentation

André Ferreira, Kunpeng Xie, Caroline Wilpert +12

AI requires extensive datasets, while medical data is subject to high data protection. Anonymization is essential, but poses a challenge for some regions, such as the head, as iden…

cs.CV2023★ 1 cited

Reconstruction of Patient-Specific Confounders in AI-based Radiologic Image Interpretation using Generative Pretraining

Tianyu Han, Laura Žigutytė, Luisa Huck +9

Detecting misleading patterns in automated diagnostic assistance systems, such as those powered by Artificial Intelligence, is critical to ensuring their reliability, particularly…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.