M2GNN: Metapath and Multi-interest Aggregated Graph Neural Network for Tag-based Cross-domain Recommendation

1 code implementation • 16 Apr 2023 • Zepeng Huai, Yuji Yang, Mengdi Zhang, Zhongyi Zhang, YiChun Li, Wei Wu

(2) From the CDR perspective, not all inter-domain interests are helpful to infer intra-domain interests.

Recommendation Systems TAG

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 Assessment of Hepatic Steatosis on chest CT

no code implementations • 4 Feb 2022 • Zhongyi Zhang, Jakob Weiss, Jana Taron, Roman Zeleznik, Michael T. Lu, Hugo J. W. L. Aerts

A dataset of 451 CT scans with volumetric liver segmentations of expert readers was used for training a deep learning model.

Computed Tomography (CT) Liver Segmentation

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).