Xin Tie - RankMe

12 papers B 1Journal 9Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Opportunistic Promptable Segmentation: Leveraging Routine Radiological Annotations to Guide 3D CT Lesion Segmentation. CoRR Samuel Church, Joshua D. Warner, Danyal Maqbool, Xin Tie, Junjie Hu, Meghan G. Lubner, Tyler J. Bradshaw
2025	B	`conf`	ESSI-KG: Enhancing Structural Semantic Integration in KG-to-Text Pretraining Models. IJCNN Xin Tie, Ruishen Liu, Xiangfeng Luo, Shaorong Xie, Xinzhi Wang
2025	J	`jnl`	PETAR: Localized Findings Generation with Mask-Aware Vision-Language Modeling for PET Automated Reporting. CoRR 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
2025	J	`jnl`	Vision-Language Modeling in PET/CT for Visual Grounding of Positive Findings. CoRR 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
2024	J	`jnl`	Automatic Quantification of Serial PET/CT Images for Pediatric Hodgkin Lymphoma Patients Using a Longitudinally-Aware Segmentation Network. CoRR 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
2024	J	`jnl`	ConTEXTual Net: A Multimodal Vision-Language Model for Segmentation of Pneumothorax. J. Imaging Inform. Medicine Zachary Huemann, Xin Tie, Junjie Hu, Tyler J. Bradshaw
2024	—	`conf`	Deep Learning for Longitudinal Gross Tumor Volume Segmentation in MRI-Guided Adaptive Radiotherapy for Head and Neck Cancer. HNTS-MRG@MICCAI Xin Tie, Weijie Chen, Zachary Huemann, Brayden Schott, Nuohao Liu, Tyler J. Bradshaw
2024	J	`jnl`	Deep Learning for Longitudinal Gross Tumor Volume Segmentation in MRI-Guided Adaptive Radiotherapy for Head and Neck Cancer. CoRR Xin Tie, Weijie Chen, Zachary Huemann, Brayden Schott, Nuohao Liu, Tyler J. Bradshaw
2024	J	`jnl`	Personalized Impression Generation for PET Reports Using Large Language Models. J. Imaging Inform. Medicine 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
2023	J	`jnl`	Automatic Personalized Impression Generation for PET Reports Using Large Language Models. CoRR 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
2022	J	`jnl`	A Generalizable Artificial Intelligence Model for COVID-19 Classification Task Using Chest X-ray Radiographs: Evaluated Over Four Clinical Datasets with 15, 097 Patients. CoRR Ran Zhang, Xin Tie, John W. Garrett, Dalton Griner, Zhihua Qi, Nicholas B. Bevins, Scott B. Reeder, Guang-Hong Chen
2021	—	`conf`	COVID-19 pneumonia diagnosis using chest x-ray radiograph and deep learning. Computer-Aided Diagnosis Dalton Griner, Ran Zhang, Xin Tie, Chengzhu Zhang, John W. Garrett, Ke Li, Guang-Hong Chen