Xin Tie

According to our database, Xin Tie authored at least 11 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Opportunistic Promptable Segmentation: Leveraging Routine Radiological Annotations to Guide 3D CT Lesion Segmentation.

Samuel Church, Joshua D. Warner, Danyal Maqbool, Xin Tie, Junjie Hu, Meghan G. Lubner, Tyler J. Bradshaw

CoRR, February, 2026

2025

PETAR: Localized Findings Generation with Mask-Aware Vision-Language Modeling for PET Automated Reporting.

Danyal Maqbool, Changhee Lee, Zachary Huemann, Samuel Church, Matthew E. Larson, Scott B. Perlman, Tomas A. Romero, Joshua D. Warner, Meghan G. Lubner, Xin Tie, Jameson Merkow, Junjie Hu, Steve Y. Cho, Tyler J. Bradshaw

CoRR, October, 2025

Vision-Language Modeling in PET/CT for Visual Grounding of Positive Findings.

Zachary Huemann, Samuel Church, Joshua D. Warner, Daniel Tran, Xin Tie, Alan B. McMillan, Junjie Hu, Steve Y. Cho, Meghan G. Lubner, Tyler J. Bradshaw

CoRR, February, 2025

ESSI-KG: Enhancing Structural Semantic Integration in KG-to-Text Pretraining Models.

Xin Tie, Ruishen Liu, Xiangfeng Luo, Shaorong Xie, Xinzhi Wang

Proceedings of the International Joint Conference on Neural Networks, 2025

2024

Personalized Impression Generation for PET Reports Using Large Language Models.

Xin Tie, Muheon Shin, Ali Pirasteh, Nevein Ibrahim, Zachary Huemann, Sharon M. Castellino, Kara M. Kelly, John W. Garrett, Junjie Hu, Steve Y. Cho, Tyler J. Bradshaw

J. Imaging Inform. Medicine, 2024

ConTEXTual Net: A Multimodal Vision-Language Model for Segmentation of Pneumothorax.

Zachary Huemann, Xin Tie, Junjie Hu, Tyler J. Bradshaw

J. Imaging Inform. Medicine, 2024

Automatic Quantification of Serial PET/CT Images for Pediatric Hodgkin Lymphoma Patients Using a Longitudinally-Aware Segmentation Network.

Xin Tie, Muheon Shin, Changhee Lee, Scott B. Perlman, Zachary Huemann, Amy J. Weisman, Sharon M. Castellino, Kara M. Kelly, Kathleen M. McCarten, Adina L. Alazraki, Junjie Hu, Steve Y. Cho, Tyler J. Bradshaw

CoRR, 2024

Deep Learning for Longitudinal Gross Tumor Volume Segmentation in MRI-Guided Adaptive Radiotherapy for Head and Neck Cancer.

Xin Tie, Weijie Chen, Zachary Huemann, Brayden Schott, Nuohao Liu, Tyler J. Bradshaw

Proceedings of the Head and Neck Tumor Segmentation for MR-Guided Applications, 2024

2023

Automatic Personalized Impression Generation for PET Reports Using Large Language Models.

Xin Tie, Muheon Shin, Ali Pirasteh, Nevein Ibrahim, Zachary Huemann, Sharon M. Castellino, Kara M. Kelly, John W. Garrett, Junjie Hu, Steve Y. Cho, Tyler J. Bradshaw

CoRR, 2023

2022

A Generalizable Artificial Intelligence Model for COVID-19 Classification Task Using Chest X-ray Radiographs: Evaluated Over Four Clinical Datasets with 15, 097 Patients.

Ran Zhang, Xin Tie, John W. Garrett, Dalton Griner, Zhihua Qi, Nicholas B. Bevins, Scott B. Reeder, Guang-Hong Chen

CoRR, 2022

2021

COVID-19 pneumonia diagnosis using chest x-ray radiograph and deep learning.

Dalton Griner, Ran Zhang, Xin Tie, Chengzhu Zhang, John W. Garrett, Ke Li, Guang-Hong Chen

Proceedings of the Medical Imaging 2021: Computer-Aided Diagnosis, 2021