Weina Jin

Guidelines and evaluation of clinical explainable AI in medical image analysis

2022 · 149 Zit. · Medical Image Analysis

Evaluating the clinical utility of artificial intelligence assistance and its explanation on the glioma grading task

2024 · 23 Zit. · Artificial Intelligence in Medicine

One Map Does Not Fit All: Evaluating Saliency Map Explanation on Multi-Modal Medical Images

2021 · 14 Zit. · arXiv (Cornell University)

Evaluating Explainable AI on a Multi-Modal Medical Imaging Task: Can Existing Algorithms Fulfill Clinical Requirements?

2022 · 13 Zit. · arXiv (Cornell University)

Guidelines and Evaluation of Clinical Explainable AI in Medical Image Analysis

2022 · 7 Zit. · arXiv (Cornell University)

From Human-in-the-Loop to Human-in-Power

2024 · 5 Zit. · The American Journal of Bioethics

Invisible Users: Uncovering End-Users' Requirements for Explainable AI via Explanation Forms and Goals

2023 · 4 Zit. · arXiv (Cornell University)

Why is plausibility surprisingly problematic as an XAI criterion?

2023 · 4 Zit. · arXiv (Cornell University)

Physician-in-the-Loop Active Learning in Radiology Artificial Intelligence Workflows: Opportunities, Challenges, and Future Directions

2025 · 3 Zit. · American Journal of Roentgenology

Evaluating Explainable AI on a Multi-Modal Medical Imaging Task: Can Existing Algorithms Fulfill Clinical Requirements?

2022 · 1 Zit. · Proceedings of the AAAI Conference on Artificial Intelligence

Evaluating the Clinical Utility of Artificial Intelligence Assistance and its Explanation on Glioma Grading Task

2022 · 1 Zit.

Transcending XAI Algorithm Boundaries through End-User-Inspired Design

2022 · 0 Zit. · arXiv (Cornell University)

Making Power Explicable in AI: Analyzing, Understanding, and Redirecting Power to Operationalize Ethics in AI Technical Practice

2025 · 0 Zit. · ArXiv.org