Zohaib Salahuddin

Transparency of deep neural networks for medical image analysis: A review of interpretability methods

2021 · 435 Zit. · Computers in Biology and Medicine

FUTURE-AI: international consensus guideline for trustworthy and deployable artificial intelligence in healthcare

2025 · 218 Zit. · BMJ

Making Radiomics More Reproducible across Scanner and Imaging Protocol Variations: A Review of Harmonization Methods

2021 · 179 Zit. · Journal of Personalized Medicine

FUTURE-AI: Guiding Principles and Consensus Recommendations for Trustworthy Artificial Intelligence in Medical Imaging

2021 · 12 Zit. · arXiv (Cornell University)

Precision-medicine-toolbox: An open-source python package for the quantitative medical image analysis

2023 · 11 Zit. · Software Impacts

A Review of Methods for Trustworthy AI in Medical Imaging: The FUTURE-AI Guidelines

2025 · 2 Zit. · IEEE Journal of Biomedical and Health Informatics

Precision-medicine-toolbox: An open-source python package for facilitation of quantitative medical imaging and radiomics analysis

2022 · 2 Zit. · arXiv (Cornell University)

Radiology Report Conditional 3D CT Generation with Multi Encoder Latent diffusion Model

2025 · 0 Zit. · ArXiv.org

Towards trustworthy artificial intelligence in medical imaging

2024 · 0 Zit.

Reply to ‘Radiomics Quality Score 2.0: what changed from version 1.0 and why it matters’

2025 · 0 Zit. · Nature Reviews Clinical Oncology

A review of methods for trustworthy AI in medical imaging: The FUTURE-AI Guidelines

2025 · 0 Zit. · Dipòsit Digital de la Universitat de Barcelona (Universitat de Barcelona)

From the clinic: A survey on trustworthy AI in breast cancer^*

2023 · 0 Zit.