Jie Xu - RankMe

47 papers A* 11Misc 6Journal 25Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Beyond the Embedding Bottleneck: Adaptive Retrieval-Augmented 3D CT Report Generation. CoRR Renjie Liang, Yiling Ma, Yang Xing, Zhengkang Fan, Jinqian Pan, Chengkun Sun, Li Li, Kuang Gong, Jie Xu
2026	J	`jnl`	DTC: A Deformable Transposed Convolution Module for Medical Image Segmentation. CoRR Chengkun Sun, Jinqian Pan, Renjie Liang, Zhengkang Fan, Xin Miao, Jiang Bian, Jie Xu
2026	J	`jnl`	Enhancing Renal Tumor Malignancy Prediction: Deep Learning with Automatic 3D CT Organ Focused Attention. CoRR Zhengkang Fan, Chengkun Sun, Russell Stevens Terry, Jie Xu, Longin Jan Latecki
2025	J	`jnl`	A Clinically-Grounded Two-Stage Framework for Renal CT Report Generation. CoRR Renjie Liang, Zhengkang Fan, Jinqian Pan, Chenkun Sun, Russell Terry, Jie Xu
2025	J	`jnl`	A scoping review and evidence gap analysis of clinical AI fairness. npj Digit. Medicine Mingxuan Liu, Yilin Ning, Salinelat Teixayavong, Xiaoxuan Liu, Mayli Mertens, Yuqing Shang, Xin Li, Di Miao, Jingchi Liao, Jie Xu, Daniel Shu Wei Ting, Lionel Tim-Ee Cheng, Jasmine Chiat Ling Ong, Zhen Ling Teo, Ting Fang Tan, Narrendar RaviChandran, Fei Wang, Leo Anthony Celi, Marcus Eng Hock Ong, Nan Liu
2025	A*	`conf`	BGDB: Bernoulli-Gaussian Decision Block with Improved Denoising Diffusion Probabilistic Models. AAAI Chengkun Sun, Jinqian Pan, Russell Stevens Terry, Jiang Bian, Jie Xu
2025	A*	`conf`	Beyond Skip Connection: Pooling and Unpooling Design for Elimination Singularities. AAAI Chengkun Sun, Jinqian Pan, Zhuoli Jin, Russell Stevens Terry, Jiang Bian, Jie Xu
2025	J	`jnl`	Federated Causal Inference in Healthcare: Methods, Challenges, and Applications. CoRR Haoyang Li, Jie Xu, Kyra Gan, Fei Wang, Chengxi Zang
2025	J	`jnl`	From image to report: automating lung cancer screening interpretation and reporting with vision-language models. J. Biomed. Informatics Tien-Yu Chang, Qinglin Gou, Leyi Zhao, Tiancheng Zhou, Hongyu Chen, Dong Yang, Huiwen Ju, Kaleb E. Smith, Chengkun Sun, Jinqian Pan, Yu Huang, Xing He, Xuhong Zhang, Daguang Xu, Jie Xu, Jiang Bian, Aokun Chen
2025	—	`conf`	Predicting Nephrectomy Risk in Patients with Renal Cancer Using Real-World Electronic Health Records. MedInfo Zhengkang Fan, Chengkun Sun, Russell Stevens Terry, Jiang Bian, Jie Xu
2024	J	`jnl`	BGDB: Bernoulli-Gaussian Decision Block with Improved Denoising Diffusion Probabilistic Models. CoRR Chengkun Sun, Jinqian Pan, Russell Stevens Terry, Jiang Bian, Jie Xu
2024	J	`jnl`	Beyond Skip Connection: Pooling and Unpooling Design for Elimination Singularities. CoRR Chengkun Sun, Jinqian Pan, Zhuoli Jin, Russell Stevens Terry, Jiang Bian, Jie Xu
2024	J	`jnl`	GASA-UNet: Global Axial Self-Attention U-Net for 3D Medical Image Segmentation. CoRR Chengkun Sun, Russell Stevens Terry, Jiang Bian, Jie Xu
2024	J	`jnl`	Identification of Parkinson's disease PACE subtypes and repurposing treatments through integrative analyses of multimodal data. npj Digit. Medicine Chang Su, Yu Hou, Jielin Xu, Zhenxing Xu, Manqi Zhou, Alison Ke, Haoyang Li, Jie Xu, Matthew Brendel, Jacqueline R. M. A. Maasch, Zilong Bai, Haotan Zhang, Yingying Zhu, Molly C. Cincotta, Xinghua Shi, Claire Henchcliffe, James B. Leverenz, Jeffrey Cummings, Michael S. Okun, Jiang Bian, Feixiong Cheng, Fei Wang
2024	J	`jnl`	Towards Clinical AI Fairness: Filling Gaps in the Puzzle. CoRR Mingxuan Liu, Yilin Ning, Salinelat Teixayavong, Xiaoxuan Liu, Mayli Mertens, Yuqing Shang, Xin Li, Di Miao, Jie Xu, Daniel Shu Wei Ting, Lionel Tim-Ee Cheng, Jasmine Chiat Ling Ong, Zhen Ling Teo, Ting Fang Tan, Narrendar RaviChandran, Fei Wang, Leo Anthony Celi, Marcus Eng Hock Ong, Nan Liu
2023	J	`jnl`	A translational perspective towards clinical AI fairness. npj Digit. Medicine Mingxuan Liu, Yilin Ning, Salinelat Teixayavong, Mayli Mertens, Jie Xu, Daniel Shu Wei Ting, Lionel Tim-Ee Cheng, Jasmine Chiat Ling Ong, Zhen Ling Teo, Ting Fang Tan, Ravi Chandran Narrendar, Fei Wang, Leo Anthony Celi, Marcus Eng Hock Ong, Nan Liu
2023	J	`jnl`	AD-BERT: Using pre-trained language model to predict the progression from mild cognitive impairment to Alzheimer's disease. J. Biomed. Informatics Chengsheng Mao, Jie Xu, Luke V. Rasmussen, Yikuan Li, Prakash Adekkanattu, Jennifer A. Pacheco, Borna Bonakdarpour, Robert Vassar, Li Shen, Guoqian Jiang, Fei Wang, Jyotishman Pathak, Yuan Luo
2023	J	`jnl`	Assess the documentation of cognitive tests and biomarkers in electronic health records via natural language processing for Alzheimer's disease and related dementias. Int. J. Medical Informatics Zhaoyi Chen, Hansi Zhang, Xi Yang, Songzi Wu, Xing He, Jie Xu, Jingchuan Guo, Mattia Prosperi, Fei Wang, Hua Xu, Yong Chen, Hui Hu, Steven DeKosky, Matthew Farrer, Yi Guo, Yonghui Wu, Jiang Bian
2023	J	`jnl`	Classification of Benign and Malignant Renal Tumors Based on CT Scans and Clinical Data Using Machine Learning Methods. Informatics Jie Xu, Xing He, Wei Shao, Jiang Bian, Russell Terry
2023	—	`conf`	Quantification of Racial Disparity on Urinary Tract Infection Recurrence and Treatment Resistance in Florida using Algorithmic Fairness Methods. ICHI Inyoung Jun, Sarah E. S. Leary, Jie Xu, Jiang Bian, Mattia Prosperi
2023	J	`jnl`	Towards clinical AI fairness: A translational perspective. CoRR Mingxuan Liu, Yilin Ning, Salinelat Teixayavong, Mayli Mertens, Jie Xu, Daniel Shu Wei Ting, Lionel Tim-Ee Cheng, Jasmine Chiat Ling Ong, Zhen Ling Teo, Ting Fang Tan, Ravi Chandran Narrendar, Fei Wang, Leo Anthony Celi, Marcus Eng Hock Ong, Nan Liu
2022	J	`jnl`	A(DP) IEEE Trans. Pattern Anal. Mach. Intell. Jie Xu, Wei Zhang, Fei Wang
2022	J	`jnl`	AD-BERT: Using Pre-trained contextualized embeddings to Predict the Progression from Mild Cognitive Impairment to Alzheimer's Disease. CoRR Chengsheng Mao, Jie Xu, Luke V. Rasmussen, Yikuan Li, Prakash Adekkanattu, Jennifer A. Pacheco, Borna Bonakdarpour, Robert Vassar, Guoqian Jiang, Fei Wang, Jyotishman Pathak, Yuan Luo
2022	J	`jnl`	Design and validation of a FHIR-based EHR-driven phenotyping toolbox. J. Am. Medical Informatics Assoc. Pascal S. Brandt, Jennifer A. Pacheco, Prakash Adekkanattu, Evan Sholle, Sajjad Abedian, Daniel J. Stone, David Knaack, Jie Xu, Zhenxing Xu, Yifan Peng, Natalie C. Benda, Fei Wang, Yuan Luo, Guoqian Jiang, Jyotishman Pathak, Luke V. Rasmussen
2022	—	`conf`	Identification of Social and Racial Disparities in Risk of HIV Infection in Florida using Causal AI Methods. BIBM Mattia Prosperi, Jie Xu, Jingchuan Serena Guo, Jiang Bian, Wei-Han William Chen, Shantrel Canidate, Simone Marini, Mo Wang
2021	Misc	`conf`	A Deep Learning Framework Using a Pre-trained BERT Model to Predict the Risk of Progression from Mild Cognitive Impairment to Alzheimer's Disease. AMIA Chengsheng Mao, Jie Xu, Luke V. Rasmussen, Jennifer A. Pacheco, Guoqian Jiang, Fei Wang, Richard Isaacson, Jyotishman Pathak, Yuan Luo
2021	J	`jnl`	Federated Learning for Healthcare Informatics. J. Heal. Informatics Res. Jie Xu, Benjamin S. Glicksberg, Chang Su, Peter B. Walker, Jiang Bian, Fei Wang
2021	Misc	`conf`	Multi-site Evaluation of Longitudinal Changes in Ejection Fraction in Heart Failure Patients Through Data-driven Phenotyping. AMIA Prakash Adekkanattu, Jennifer A. Pacheco, Joseph Kabariti, Daniel J. Stone, Yue Yu, Parag Goyal, Faraz S. Ahmad, Guoqian Jiang, Yuan Luo, Luke V. Rasmussen, Pascal S. Brandt, Zhenxing Xu, Jie Xu, Fei Wang, Natalie C. Benda, Thomas R. Campion Jr., Jyotishman Pathak
2020	J	`jnl`	A(DP) CoRR Jie Xu, Wei Zhang, Fei Wang
2020	Misc	`conf`	Feasibility of Cross-Platform EHR-Driven Phenotyping Using Clinical Quality Language. AMIA Pascal S. Brandt, Richard C. Kiefer, Jennifer A. Pacheco, Prakash Adekkanattu, Evan Sholle, Faraz S. Ahmad, Jie Xu, Zhenxing Xu, Jessica S. Ancker, Fei Wang, Yuan Luo, Guoqian Jiang, Jyotishman Pathak, Luke V. Rasmussen
2020	A*	`conf`	Federated Patient Hashing. AAAI Jie Xu, Zhenxing Xu, Peter B. Walker, Fei Wang
2020	Misc	`conf`	Identification of Alzheimer's Disease Subtypes from Electronic Health Records Using a Data-Driven Approach. AMIA Jie Xu, Fei Wang, Zhenxing Xu, Prakash Adekkanattu, Pascal S. Brandt, Guoqian Jiang, Richard C. Kiefer, Yuan Luo, Chengsheng Mao, Jennifer A. Pacheco, Luke V. Rasmussen, Yiye Zhang, Richard Isaacson, Jyotishman Pathak
2020	A*	`conf`	Order-Preserving Metric Learning for Mining Multivariate Time Series. ICDM Jie Xu, Zhenxing Xu, Bin Yu, Fei Wang
2019	J	`jnl`	Federated Learning for Healthcare Informatics. CoRR Jie Xu, Fei Wang
2019	A*	`conf`	Orthogonality-Promoting Dictionary Learning via Bayesian Inference. AAAI Lei Luo, Jie Xu, Cheng Deng, Heng Huang
2019	A*	`conf`	Robust Metric Learning on Grassmann Manifolds with Generalization Guarantees. AAAI Lei Luo, Jie Xu, Cheng Deng, Heng Huang
2018	A*	`conf`	Bilevel Distance Metric Learning for Robust Image Recognition. NeurIPS Jie Xu, Lei Luo, Cheng Deng, Heng Huang
2018	J	`jnl`	Compressed multi-scale feature fusion network for single image super-resolution. Signal Process. Xinxia Fan, Yanhua Yang, Cheng Deng, Jie Xu, Xinbo Gao
2018	A*	`conf`	Multi-Level Metric Learning via Smoothed Wasserstein Distance. IJCAI Jie Xu, Lei Luo, Cheng Deng, Heng Huang
2018	A*	`conf`	New Robust Metric Learning Model Using Maximum Correntropy Criterion. KDD Jie Xu, Lei Luo, Cheng Deng, Heng Huang
2017	A*	`conf`	Multi-Class Support Vector Machine via Maximizing Multi-Class Margins. IJCAI Jie Xu, Xianglong Liu, Zhouyuan Huo, Cheng Deng, Feiping Nie, Heng Huang
2017	A*	`conf`	Predicting Alzheimer's Disease Cognitive Assessment via Robust Low-Rank Structured Sparse Model. IJCAI Jie Xu, Cheng Deng, Xinbo Gao, Dinggang Shen, Heng Huang
2016	J	`jnl`	Similarity Constraints-Based Structured Output Regression Machine: An Approach to Image Super-Resolution. IEEE Trans. Neural Networks Learn. Syst. Cheng Deng, Jie Xu, Kaibing Zhang, Dacheng Tao, Xinbo Gao, Xuelong Li
2015	Misc	`conf`	Coupled fisher discrimination dictionary learning for single image super-resolution. ICASSP Songhang Ye, Cheng Deng, Jie Xu, Xinbo Gao
2014	—	`conf`	Image Super-resolution Based on Sparse Representation With Joint Constraints. ICIMCS Jie Xu, Cheng Deng, Xianglong Liu, Jie Li
2014	Misc	`conf`	Image super-resolution using multi-layer support vector regression. ICASSP Jie Xu, Cheng Deng, Xinbo Gao, Dacheng Tao, Xuelong Li
2013	—	`conf`	Image super resolution using Gaussian Process Regression with patch clustering. ICIMCS Fang Xie, Cheng Deng, Jie Xu, Jifei Yu, Jie Li