Tal Arbel

Why rankings of biomedical image analysis competitions should be interpreted with care

2018 · 343 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

BIAS: Transparent reporting of biomedical image analysis challenges

2020 · 120 Zit. · Veřejné služby Informačního systému (Masarykiana Brunensis Universitas)

Metrics reloaded: Recommendations for image analysis validation

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

Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Graphs in Biomedical Image Analysis

2020 · 40 Zit. · Lecture notes in computer science

Understanding metric-related pitfalls in image analysis validation

2023 · 20 Zit. · arXiv (Cornell University)

Debiasing Counterfactuals in the Presence of Spurious Correlations

2023 · 10 Zit. · Lecture notes in computer science

BIAS: Transparent reporting of biomedical image analysis challenges

2020 · 9 Zit. · Medical Image Analysis

QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Scores and Benchmarking Results

2021 · 7 Zit. · arXiv (Cornell University)

Mitigating Calibration Bias Without Fixed Attribute Grouping for Improved Fairness in Medical Imaging Analysis

2023 · 6 Zit. · Lecture notes in computer science

Evaluating the Fairness of Deep Learning Uncertainty Estimates in Medical Image Analysis

2023 · 5 Zit. · arXiv (Cornell University)

Adoption of AI for Precision Medicine

2024 · 0 Zit.

Editorial on Special Issue on Probabilistic Models for Biomedical Image Analysis

2016 · 0 Zit. · Computer Vision and Image Understanding

Exposing and Mitigating Calibration Biases and Demographic Unfairness in MLLM Few-Shot In-Context Learning for Medical Image Classification

2025 · 0 Zit. · ArXiv.org