Fabian Isensee

The Medical Segmentation Decathlon

2022 · 1.101 Zit. · Nature Communications

Metrics reloaded: recommendations for image analysis validation

2024 · 338 Zit. · Nature Methods

Understanding metric-related pitfalls in image analysis validation

2024 · 154 Zit. · Nature Methods

Metrics reloaded: Recommendations for image analysis validation

2022 · 62 Zit. · IT University Of Copenhagen (IT University of Copenhagen)

Extending nnU-Net Is All You Need

2023 · 31 Zit. · Informatik aktuell

USE-Evaluator: Performance metrics for medical image segmentation models supervised by uncertain, small or empty reference annotations in neuroimaging

2023 · 22 Zit. · Medical Image Analysis

Understanding metric-related pitfalls in image analysis validation

2023 · 20 Zit. · arXiv (Cornell University)

Biomedical image analysis competitions: The state of current participation practice

2022 · 17 Zit. · arXiv (Cornell University)

Are we using appropriate segmentation metrics? Identifying correlates of human expert perception for CNN training beyond rolling the DICE coefficient

2021 · 16 Zit. · arXiv (Cornell University)

Towards fair decentralized benchmarking of healthcare AI algorithms with the Federated Tumor Segmentation (FeTS) challenge

2025 · 3 Zit. · Nature Communications

Extending nnU-Net is all you need

2022 · 2 Zit. · arXiv (Cornell University)

Touchstone Benchmark: Are We on the Right Way for Evaluating AI Algorithms for Medical Segmentation?

2024 · 2 Zit. · arXiv (Cornell University)

USE-Evaluator: Performance Metrics for Medical Image Segmentation Models with Uncertain, Small or Empty Reference Annotations

2022 · 1 Zit. · arXiv (Cornell University)

Comparative Benchmarking of Failure Detection Methods in Medical Image Segmentation: Unveiling the Role of Confidence Aggregation

2024 · 0 Zit. · arXiv (Cornell University)

Revisiting 3D Medical Scribble Supervision: Benchmarking Beyond Cardiac Segmentation

2025 · 0 Zit. · Lecture notes in computer science