Author

Xing-Long Liang

3 papers indexed here

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Sep 2026

A Deep Learning Model to Predict Breast Cancer Recurrence Using Longitudinal Mammograms and Clinical Data.

Purpose To develop a deep learning model that integrates longitudinal mammograms and static clinical data for predicting the recurrence risk and recurrence subtype of breast cancer. Materials and Methods In this retrospective study, the data of patients examined via imaging from January 2004 to December 2020 were inclu...

Chun-Fang Lu, Xin Wang, Tian-Yu Zhang et al. · Radiology: Artificial Intell... · 0 citations

#artificial intelligence Preprint Sep 2026

Can Jev Judge Radiology Reports? Evaluating a System One Model for Clinical Factuality

An AI-generated radiology report can resemble a physician's report while omitting an abnormality, adding an unsupported finding, or reversing its presence. Measuring these factual differences is essential for evaluating report generators. We study Jev, a System One decision model, as a simple, low-cost judge of agreeme...

Jia-Ju Huang, Hao Yang, Xin-Yu Ma et al. · 0 citations

#artificial intelligence Preprint Aug 2026

Pretrained, Curriculum-Tuned, and Ensembled: A Tracer-Aware Interactive Segmentation Pipeline for AutoPET V

TRIAGE, Tracer-aware Refinement via Interactive Anatomy-Guided sEgmentation, a 3D STU-Net initialized through masked autoencoding pre-training with an asynchronous masking strategy, aiming to learn transferable anatomical and cross-modal representations before task-specific fine-tuning.

Xing-Long Liang, Chun-Fang Lu, Tian-Yu Zhang et al. · 0 citations