| Diagnosis of coronavirus disease 2019 pneumonia by using chest radiography: Value of artificial intelligence R Zhang, X Tie, Z Qi, NB Bevins, C Zhang, D Griner, TK Song, JD Nadig, ... Radiology 298 (2), E88-E97, 2021 | 136 | 2021 |
| Pseudo‐CT generation from multi‐parametric MRI using a novel multi‐channel multi‐path conditional generative adversarial network for nasopharyngeal carcinoma patients X Tie, SK Lam, Y Zhang, KH Lee, KH Au, J Cai Medical physics 47 (4), 1750-1762, 2020 | 66 | 2020 |
| Co-registered combined OCT and THz imaging to extract depth and refractive index of a tissue-equivalent test object AJ Fitzgerald, X Tie, MJ Hackmann, B Cense, AP Gibson, VP Wallace Biomedical Optics Express 11 (3), 1417-1431, 2020 | 17 | 2020 |
| COVID-19 pneumonia diagnosis using chest x-ray radiograph and deep learning D Griner, R Zhang, X Tie, C Zhang, JW Garrett, K Li, GH Chen Medical Imaging 2021: Computer-Aided Diagnosis 11597, 18-24, 2021 | 4 | 2021 |
| Contextual net: A multimodal vision-language model for segmentation of pneumothorax Z Huemann, X Tie, J Hu, TJ Bradshaw Journal of Imaging Informatics in Medicine, 1-12, 2024 | 3 | 2024 |
| TMTV-Net: fully automated total metabolic tumor volume segmentation in lymphoma PET/CT images—a multi-center generalizability analysis F Yousefirizi, IS Klyuzhin, S Harsini, X Tie, I Shiri, M Shin, C Lee, SY Cho, ... European Journal of Nuclear Medicine and Molecular Imaging, 1-18, 2024 | 2 | 2024 |
| A generalizable artificial intelligence model for COVID-19 classification task using chest x-ray radiographs: Evaluated over four clinical datasets with 15,097 patients R Zhang, X Tie, JW Garrett, D Griner, Z Qi, NB Bevins, SB Reeder, ... arXiv preprint arXiv:2210.02189, 2022 | 2 | 2022 |
| Personalized Impression Generation for PET Reports Using Large Language Models X Tie, M Shin, A Pirasteh, N Ibrahim, Z Huemann, SM Castellino, KM Kelly, ... Journal of Imaging Informatics in Medicine, 1-18, 2024 | 1* | 2024 |
| A quality‐checked and physics‐constrained deep learning method to estimate material basis images from single‐kV contrast‐enhanced chest CT scans Y Li*, X Tie*, K Li, R Zhang, Z Qi, A Budde, TM Grist, ... Medical physics 50 (6), 3368-3388, 2023 | 1 | 2023 |
| Deep-En-Chroma: mining the spectral fingerprints in single-kV CT acquisitions using energy integration detectors Y Li, X Tie, K Li, J Garrett, GH Chen Medical Imaging 2022: Physics of Medical Imaging, PC120310I, 2022 | 1 | 2022 |
| Automatic Quantification of Serial PET/CT Images for Pediatric Hodgkin Lymphoma Patients Using a Longitudinally-Aware Segmentation Network X Tie, M Shin, C Lee, SB Perlman, Z Huemann, AJ Weisman, ... arXiv preprint arXiv:2404.08611, 2024 | | 2024 |
| External validation of an artificial intelligence-based FDG PET/CT lesion detection model for lymphoma: impact of generational gap between scanner technologies M Shin, C Lee, A Weisman, X Tie, S Cho, T Bradshaw Journal of Nuclear Medicine 64 (supplement 1), P1498-P1498, 2023 | | 2023 |
| Deep-QC: a quality-check framework for quantitative material estimation from single-kV CT data X Tie, Y Li, R Zhang, K Li, G Chen Medical Imaging 2023: Physics of Medical Imaging 12463, 1246340, 2023 | | 2023 |
John W GarrettAssistant Professor of Radiology, UW MadisonVerified email at uwhealth.org
