Klaus H. Hein-Maier

Heidelberg, BW, Germany

Last Updated: 09/26/2026

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Found 214 publications

The TopCoW Challenge - Topology-Aware Circle of Willis Segmentation for CT and MR Angiography.

The TopCoW Challenge - Topology-Aware Circle of Willis Segmentation for CT and MR Angiography.

Journal: NEJM AI

Published: August 22, 2026

Impact on Cost and Expert Time of Data-Efficient Deep Learning for Medical Image Segmentation.

Impact on Cost and Expert Time of Data-Efficient Deep Learning for Medical Image Segmentation.

Journal: Radiology. Artificial intelligence

Published: June 24, 2026

Impact on Cost and Expert Time of Data-Efficient Deep Learning for Medical Image Segmentation.

Impact on Cost and Expert Time of Data-Efficient Deep Learning for Medical Image Segmentation.

Journal: Radiology. Artificial intelligence

Published: June 24, 2026

Federated Medical Image Segmentation under Real-World Label Noise: A Benchmark Suite for Noisy Label Learning Method Selection.

Federated Medical Image Segmentation under Real-World Label Noise: A Benchmark Suite for Noisy Label Learning Method Selection.

Journal: Journal of imaging informatics in medicine

Published: May 27, 2026

Gut decisions based on the liver: prediction of colorectal neoplasia using AI-based liver analysis of routine CT scans.

Gut decisions based on the liver: prediction of colorectal neoplasia using AI-based liver analysis of routine CT scans.

Journal: Frontiers in oncology

Published: March 30, 2026

Incorporating functional soft tissue deformations in AI model training for spatially accurate prostate cancer detection.

Incorporating functional soft tissue deformations in AI model training for spatially accurate prostate cancer detection.

Journal: Magnetic resonance imaging

Published: February 16, 2026

Real-world radiology data for artificial intelligence-driven cancer support systems and biomarker development.

Real-world radiology data for artificial intelligence-driven cancer support systems and biomarker development.

Journal: ESMO real world data and digital oncology

Published: February 06, 2026

ToothSeg: Robust Tooth Instance Segmentation and Numbering in CBCT Using Deep Learning and Self-Correction.

ToothSeg: Robust Tooth Instance Segmentation and Numbering in CBCT Using Deep Learning and Self-Correction.

Journal: IEEE journal of biomedical and health informatics

Published: January 01, 2026

ToothSeg: Robust Tooth Instance Segmentation and Numbering in CBCT using Deep Learning and Self-Correction.

ToothSeg: Robust Tooth Instance Segmentation and Numbering in CBCT using Deep Learning and Self-Correction.

Journal: IEEE journal of biomedical and health informatics

Published: January 01, 2026

Benchmark of Segmentation Techniques for Pelvic Fracture in CT and X-Ray: Summary of the PENGWIN 2024 Challenge.

Benchmark of Segmentation Techniques for Pelvic Fracture in CT and X-Ray: Summary of the PENGWIN 2024 Challenge.

Journal: IEEE transactions on medical imaging

Published: January 01, 2026

Multi-structure segmentation in CBCT volumes: The ToothFairy2 challenge.

Multi-structure segmentation in CBCT volumes: The ToothFairy2 challenge.

Journal: Medical image analysis

Published: December 27, 2025

In search of truth: evaluating concordance of AI-based anatomy segmentation models.

In search of truth: evaluating concordance of AI-based anatomy segmentation models.

Journal: Journal of medical imaging (Bellingham, Wash.)

Published: December 15, 2025

Showing 1-12 of 214

Last Updated: 09/26/2026