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Christian Wachinger

4 papers here

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

author position
  • first author1
  • middle author2
  • last author1

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

fields
  • cs.CV2
  • cs.LG1
  • eess.IV1
ORCID 0000-0002-3652-1874
same name
  • Christian Wachinger — 29 papers, h 10
  • Christian Wachinger — 5 papers, h 4

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

activity
20152026
most citedThe Liver Tumor Segmentation Benchmark (LiTS)

1.2k citations · 1.3k across the 4 of their papers we have counts for

collaborators

4 papers

eess.IV2026

Unified-protocol voxel-level pulmonary embolism annotations for three public CT angiography datasets

Qihang Sun, Zhongxiao Liu, Bailiang Jian +6

Reliable clot-volume quantification and subsequent risk assessment in pulmonary embolism depend on precise segmentation of emboli on computed tomography pulmonary angiography. Deep…

cs.CV2023★ 35 cited

MedShapeNet -- A Large-Scale Dataset of 3D Medical Shapes for Computer Vision

Jianning Li, Zongwei Zhou, Jiancheng Yang +154

Prior to the deep learning era, shape was commonly used to describe the objects. Nowadays, state-of-the-art (SOTA) algorithms in medical imaging are predominantly diverging from co…

cs.CV2019★ 1.2k cited

The Liver Tumor Segmentation Benchmark (LiTS)

Patrick Bilic, Patrick Christ, Hongwei Bran Li +106

In this work, we report the set-up and results of the Liver Tumor Segmentation Benchmark (LiTS), which was organized in conjunction with the IEEE International Symposium on Biomedi…

cs.LG2015★ 7 cited

Diverse Landmark Sampling from Determinantal Point Processes for Scalable Manifold Learning

Christian Wachinger, Polina Golland

High computational costs of manifold learning prohibit its application for large point sets. A common strategy to overcome this problem is to perform dimensionality reduction on se…

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