Yoichi Hayashi

Explainable Artificial Intelligence (XAI) 2.0: A manifesto of open challenges and interdisciplinary research directions

2024 · 391 Zit. · Information Fusion

The Right Direction Needed to Develop White-Box Deep Learning in Radiology, Pathology, and Ophthalmology: A Short Review

2019 · 36 Zit. · Frontiers in Robotics and AI

Explainable Artificial Intelligence (XAI) 2.0: A Manifesto of Open Challenges and Interdisciplinary Research Directions

2023 · 14 Zit. · arXiv (Cornell University)

Black Box Nature of Deep Learning for Digital Pathology: Beyond Quantitative to Qualitative Algorithmic Performances

2020 · 11 Zit. · Lecture notes in computer science

Toward the transparency of deep learning in radiological imaging: beyond quantitative to qualitative artificial intelligence

2019 · 6 Zit. · Journal of Medical Artificial Intelligence

Prospects for Revolutionary and Popular AI Technology following the Launch of ChatGPT in 2023

2024 · 2 Zit. · Electronics

Toward the transparency of deep learning in radiological imaging: beyond quantitative to qualitative artificial intelligence

2019 · 1 Zit. · Journal of Medical Artificial Intelligence