Magnetic resonance delta radiomics to track radiation response in lung tumors receiving stereotactic MRI-guided radiotherapy

no code implementations • 23 Feb 2024 • Yining Zha, Benjamin H. Kann, Zezhong Ye, Anna Zapaishchykova, John He, Shu-Hui Hsu, Jonathan E. Leeman, Kelly J. Fitzgerald, David E. Kozono, Raymond H. Mak, Hugo J. W. L. Aerts

Thus, we explore the potential of delta radiomics from on-treatment magnetic resonance (MR) imaging to track radiation dose response, inform personalized radiotherapy dosing, and predict outcomes.

Fully Automated Deep Learning-enabled Detection for Hepatic Steatosis on Computed Tomography: A Multicenter International Validation Study

no code implementations • 27 Oct 2022 • Zhongyi Zhang, Guixia Li, Ziqiang Wang, Feng Xia, Ning Zhao, Huibin Nie, Zezhong Ye, Joshua Lin, Yiyi Hui, Xiangchun Liu

To automate the process, we validated an existing artificial intelligence (AI) system for 3D liver segmentation and used it to purpose a novel method: AI-ROI, which could automatically select the ROI for attenuation measurements.

Computed Tomography (CT) Liver Segmentation +1

Deep learning-based detection of intravenous contrast in computed tomography scans

2 code implementations • 16 Oct 2021 • Zezhong Ye, Jack M. Qian, Ahmed Hosny, Roman Zeleznik, Deborah Plana, Jirapat Likitlersuang, Zhongyi Zhang, Raymond H. Mak, Hugo J. W. L. Aerts, Benjamin H. Kann

The fine-tuned model on chest CTs yielded an AUC: 1. 0 for the internal validation set (n = 53), and AUC: 0. 980 for the external validation set (n = 402).