Ziyue Xu

Publication Activity (10 Years)

Years Active: 2009-2023
Publications (10 Years): 75

Top Topics

Image Segmentation

Weakly Supervised

Top Venues

Medical Image Anal.

Publications

Le Peng, Sicheng Zhou, Jiandong Chen, Rui Zhang, Ziyue Xu, Ju Sun
A Systematic Evaluation of Federated Learning on Biomedical Natural Language Processing. CoRR (2023)
Yang Song, Xinqiu Fang, Gang Wu, Ningning Chen, Minfu Liang, Ziyue Xu, Fan Zhang
Research on Straightness Perception Compensation Model of FBG Scraper Conveyor Based on Rotation Error Angle. Sensors 22 (17) (2022)
Minfu Liang, Yang Song, Xinqiu Fang, Yuye Jiang, Fan Zhang, Shuang Li, Ningning Chen, Ziyue Xu
Structural Design and Application of Desensitized FBG Force-Measuring Bolt. Sensors 22 (10) (2022)
Riddhish Bhalodia, Ali Hatamizadeh, Leo K. Tam, Ziyue Xu, Xiaosong Wang, Evrim Turkbey, Daguang Xu
Improving Pneumonia Localization via Cross-Attention on Medical Images and Reports. CoRR (2021)
Ugur Demir, Ismail Irmakci, Elif Keles, Ahmet Topcu, Ziyue Xu, Concetto Spampinato, Sachin Jambawalikar, Evrim Turkbey, Baris Turkbey, Ulas Bagci
Information Bottleneck Attribution for Visual Explanations of Diagnosis and Prognosis. MLMI@MICCAI (2021)
Holger R. Roth, Dong Yang, Ziyue Xu, Xiaosong Wang, Daguang Xu
Going to Extremes: Weakly Supervised Medical Image Segmentation. Mach. Learn. Knowl. Extr. 3 (2) (2021)
Chuan Chen, Weibo Hu, Ziyue Xu, Zibin Zheng
FedGL: Federated Graph Learning Framework with Global Self-Supervision. CoRR (2021)
Andriy Myronenko, Ziyue Xu, Dong Yang, Holger Roth, Daguang Xu
Accounting for Dependencies in Deep Learning Based Multiple Instance Learning for Whole Slide Imaging. CoRR (2021)
Ziyue Xu, Xiaodan Liang, Maowei He, Hanning Chen
Multiple Adaptive Strategies-based Rat Swarm Optimizer. CCIS (2021)
Ziyue Xu, Lixiao Cui, Gang Wang, Xiaoguang Liu
Alter: Towards Optimizing Persistent Indexes in Hybrid Memory Systems. ISPA/BDCloud/SocialCom/SustainCom (2021)
Riddhish Bhalodia, Ali Hatamizadeh, Leo K. Tam, Ziyue Xu, Xiaosong Wang, Evrim Turkbey, Daguang Xu
Improving Pneumonia Localization via Cross-Attention on Medical Images and Reports. MICCAI (2) (2021)
Holger R. Roth, Dong Yang, Wenqi Li, Andriy Myronenko, Wentao Zhu, Ziyue Xu, Xiaosong Wang, Daguang Xu
Federated Whole Prostate Segmentation in MRI with Personalized Neural Architectures. CoRR (2021)
Karthik V. Sarma, Stephanie A. Harmon, Thomas Sanford, Holger R. Roth, Ziyue Xu, Jesse Tetreault, Daguang Xu, Mona G. Flores, Alex G. Raman, Rushikesh Kulkarni, Bradford J. Wood, Peter L. Choyke, Alan Priester, Leonard S. Marks, Steven S. Raman, Dieter Enzmann, Baris Turkbey, William Speier, Corey W. Arnold
Federated learning improves site performance in multicenter deep learning without data sharing. J. Am. Medical Informatics Assoc. 28 (6) (2021)
Holger R. Roth, Dong Yang, Wenqi Li, Andriy Myronenko, Wentao Zhu, Ziyue Xu, Xiaosong Wang, Daguang Xu
Federated Whole Prostate Segmentation in MRI with Personalized Neural Architectures. MICCAI (3) (2021)
Diptashree Das, Ziyue Xu, Mehdi Nasrollahpour, Isabel Martos-Repath, Mohsen Zaeimbashi, Adam Khalifa, Ankit Mittal, Sydney S. Cash, Nian Xiang Sun, Aatmesh Shrivastava, Marvin Onabajo
Simulation and Experimental Evaluation of Energy Harvesting Circuits with Magnetoelectric Antennas. MWSCAS (2021)
Dong Yang, Ziyue Xu, Wenqi Li, Andriy Myronenko, Holger R. Roth, Stephanie A. Harmon, Sheng Xu, Baris Turkbey, Evrim Turkbey, Xiaosong Wang, Wentao Zhu, Gianpaolo Carrafiello, Francesca Patella, Maurizio Cariati, Hirofumi Obinata, Hitoshi Mori, Kaku Tamura, Peng An, Bradford J. Wood, Daguang Xu
Federated semi-supervised learning for COVID region segmentation in chest CT using multi-national data from China, Italy, Japan. Medical Image Anal. 70 (2021)
Ugur Demir, Ismail Irmakci, Elif Keles, Ahmet Topcu, Ziyue Xu, Concetto Spampinato, Sachin Jambawalikar, Evrim Turkbey, Baris Turkbey, Ulas Bagci
Information Bottleneck Attribution for Visual Explanations of Diagnosis and Prognosis. CoRR (2021)
Dong Yang, Andriy Myronenko, Xiaosong Wang, Ziyue Xu, Holger R. Roth, Daguang Xu
T-AutoML: Automated Machine Learning for Lesion Segmentation using Transformers in 3D Medical Imaging. CoRR (2021)
Andriy Myronenko, Ziyue Xu, Dong Yang, Holger R. Roth, Daguang Xu
Accounting for Dependencies in Deep Learning Based Multiple Instance Learning for Whole Slide Imaging. MICCAI (8) (2021)
Rodney LaLonde, Ziyue Xu, Ismail Irmakci, Sanjay Jain, Ulas Bagci
Capsules for biomedical image segmentation. Medical Image Anal. 68 (2021)
Xiaosong Wang, Ziyue Xu, Leo K. Tam, Dong Yang, Daguang Xu
Self-supervised Image-text Pre-training With Mixed Data In Chest X-rays. CoRR (2021)
Dong Yang, Ziyue Xu, Wenqi Li, Andriy Myronenko, Holger R. Roth, Stephanie A. Harmon, Sheng Xu, Baris Turkbey, Evrim Turkbey, Xiaosong Wang, Wentao Zhu, Gianpaolo Carrafiello, Francesca Patella, Maurizio Cariati, Hirofumi Obinata, Hitoshi Mori, Kaku Tamura, Peng An, Bradford J. Wood, Daguang Xu
Federated Semi-Supervised Learning for COVID Region Segmentation in Chest CT using Multi-National Data from China, Italy, Japan. CoRR (2020)
Hoo-Chang Shin, Alvin Ihsani, Ziyue Xu, Swetha Mandava, Sharath Turuvekere Sreenivas, Christopher Forster, Jiook Cha
GANDALF: Generative Adversarial Networks with Discriminator-Adaptive Loss Fine-Tuning for Alzheimer's Disease Diagnosis from MRI. MICCAI (2) (2020)
Hoo-Chang Shin, Alvin Ihsani, Ziyue Xu, Swetha Mandava, Sharath Turuvekere Sreenivas, Christopher Forster, Jiook Cha, Alzheimer's Disease Neuroimaging Initiative
GANDALF: Generative Adversarial Networks with Discriminator-Adaptive Loss Fine-tuning for Alzheimer's Disease Diagnosis from MRI. CoRR (2020)
Rodney LaLonde, Ziyue Xu, Sanjay Jain, Ulas Bagci
Capsules for Biomedical Image Segmentation. CoRR (2020)
Wentao Zhu, Can Zhao, Wenqi Li, Holger Roth, Ziyue Xu, Daguang Xu
LAMP: Large Deep Nets with Automated Model Parallelism for Image Segmentation. CoRR (2020)
Yixiao Zhang, Xiaosong Wang, Ziyue Xu, Qihang Yu, Alan L. Yuille, Daguang Xu
When Radiology Report Generation Meets Knowledge Graph. AAAI (2020)
Dong Yang, Holger Roth, Ziyue Xu, Fausto Milletari, Ling Zhang, Daguang Xu
Searching Learning Strategy with Reinforcement Learning for 3D Medical Image Segmentation. CoRR (2020)
Wentao Zhu, Can Zhao, Wenqi Li, Holger Roth, Ziyue Xu, Daguang Xu
LAMP: Large Deep Nets with Automated Model Parallelism for Image Segmentation. MICCAI (4) (2020)
Xiaosong Wang, Ziyue Xu, Dong Yang, Leo K. Tam, Holger Roth, Daguang Xu
Learning Image Labels On-the-fly for Training Robust Classification Models. CoRR (2020)
Bowen Chen, Huan Ling, Xiaohui Zeng, Jun Gao, Ziyue Xu, Sanja Fidler
ScribbleBox: Interactive Annotation Framework for Video Object Segmentation. ECCV (13) (2020)
Bowen Chen, Huan Ling, Xiaohui Zeng, Gao Jun, Ziyue Xu, Sanja Fidler
ScribbleBox: Interactive Annotation Framework for Video Object Segmentation. CoRR (2020)
Ziyue Xu, Nikita Mirchandani, Mahmoud A. A. Ibrahim, Marvin Onabajo, Aatmesh Shrivastava
A High Efficiency DC-DC Converter Architecture with Adjustable Switching Frequency to Suppress Noise Injection in RF Receiver Front-Ends. ISCAS (2020)
Yixiao Zhang, Xiaosong Wang, Ziyue Xu, Qihang Yu, Alan L. Yuille, Daguang Xu
When Radiology Report Generation Meets Knowledge Graph. CoRR (2020)
Holger R. Roth, Dong Yang, Ziyue Xu, Xiaosong Wang, Daguang Xu
Going to Extremes: Weakly Supervised Medical Image Segmentation. CoRR (2020)
Dong Yang, Holger Roth, Xiaosong Wang, Ziyue Xu, Andriy Myronenko, Daguang Xu
Enhancing Foreground Boundaries for Medical Image Segmentation. CoRR (2020)
Ling Zhang, Xiaosong Wang, Dong Yang, Thomas Sanford, Stephanie A. Harmon, Baris Turkbey, Bradford J. Wood, Holger Roth, Andriy Myronenko, Daguang Xu, Ziyue Xu
Generalizing Deep Learning for Medical Image Segmentation to Unseen Domains via Deep Stacked Transformation. IEEE Trans. Medical Imaging 39 (7) (2020)
Ziyue Xu, Xiaosong Wang, Hoo-Chang Shin, Dong Yang, Holger Roth, Fausto Milletari, Ling Zhang, Daguang Xu
Correlation via Synthesis: End-to-end Image Generation and Radiogenomic Learning Based on Generative Adversarial Network. MIDL (2020)
Wentao Zhu, Andriy Myronenko, Ziyue Xu, Wenqi Li, Holger Roth, Yufang Huang, Fausto Milletari, Daguang Xu
NeurReg: Neural Registration and Its Application to Image Segmentation. WACV (2020)
Dong Yang, Holger Roth, Ziyue Xu, Fausto Milletari, Ling Zhang, Daguang Xu
Searching Learning Strategy with Reinforcement Learning for 3D Medical Image Segmentation. MICCAI (2) (2019)
Holger Roth, Wentao Zhu, Dong Yang, Ziyue Xu, Daguang Xu
Cardiac Segmentation of LGE MRI with Noisy Labels. STACOM@MICCAI (2019)
Hugo J. Kuijf, J. Matthijs Biesbroek, Jeroen de Bresser, Rutger Heinen, Simon Andermatt, Mariana P. Bento, Matt Berseth, Mikhail Belyaev, M. Jorge Cardoso, Adrià Casamitjana, D. Louis Collins, Mahsa Dadar, Achilleas Georgiou, Mohsen Ghafoorian, Dakai Jin, April Khademi, Jesse Knight, Hongwei Li, Xavier Lladó, Miguel Luna, Qaiser Mahmood, Richard McKinley, Alireza Mehrtash, Sébastien Ourselin, Bo-yong Park, Hyunjin Park, Sang Hyun Park, Simon Pezold, Élodie Puybareau, Letícia Rittner, Carole H. Sudre, Sergi Valverde, Verónica Vilaplana, Roland Wiest, Yongchao Xu, Ziyue Xu, Guodong Zeng, Jianguo Zhang, Guoyan Zheng, Christopher Chen, Wiesje M. van der Flier, Frederik Barkhof, Max A. Viergever, Geert Jan Biessels
Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge. CoRR (2019)
Holger Roth, Wentao Zhu, Dong Yang, Ziyue Xu, Daguang Xu
Cardiac Segmentation of LGE MRI with Noisy Labels. CoRR (2019)
Holger Roth, Ling Zhang, Dong Yang, Fausto Milletari, Ziyue Xu, Xiaosong Wang, Daguang Xu
Weakly Supervised Segmentation from Extreme Points. LABELS/HAL-MICCAI/CuRIOUS@MICCAI (2019)
Holger Roth, Ling Zhang, Dong Yang, Fausto Milletari, Ziyue Xu, Xiaosong Wang, Daguang Xu
Weakly supervised segmentation from extreme points. CoRR (2019)
Tomas Sakinis, Fausto Milletari, Holger Roth, Panagiotis Korfiatis, Petro M. Kostandy, Kenneth Philbrick, Zeynettin Akkus, Ziyue Xu, Daguang Xu, Bradley J. Erickson
Interactive segmentation of medical images through fully convolutional neural networks. CoRR (2019)
Ziyue Xu, Xiaosong Wang, Hoo-Chang Shin, Holger Roth, Dong Yang, Fausto Milletari, Ling Zhang, Daguang Xu
Tunable CT Lung Nodule Synthesis Conditioned on Background Image and Semantic Features. SASHIMI@MICCAI (2019)
Ling Zhang, Xiaosong Wang, Dong Yang, Thomas Sanford, Stephanie A. Harmon, Baris Turkbey, Holger Roth, Andriy Myronenko, Daguang Xu, Ziyue Xu
When Unseen Domain Generalization is Unnecessary? Rethinking Data Augmentation. CoRR (2019)
Wentao Zhu, Andriy Myronenko, Ziyue Xu, Wenqi Li, Holger Roth, Yufang Huang, Fausto Milletari, Daguang Xu
NeurReg: Neural Registration and Its Application to Image Segmentation. CoRR (2019)
Hugo J. Kuijf, Adrià Casamitjana, D. Louis Collins, Mahsa Dadar, Achilleas Georgiou, Mohsen Ghafoorian, Dakai Jin, April Khademi, Jesse Knight, Hongwei Li, Xavier Lladó, J. Matthijs Biesbroek, Miguel Luna, Qaiser Mahmood, Richard McKinley, Alireza Mehrtash, Sébastien Ourselin, Bo-yong Park, Hyunjin Park, Sang Hyun Park, Simon Pezold, Élodie Puybareau, Jeroen de Bresser, Letícia Rittner, Carole H. Sudre, Sergi Valverde, Verónica Vilaplana, Roland Wiest, Yongchao Xu, Ziyue Xu, Guodong Zeng, Jianguo Zhang, Guoyan Zheng, Rutger Heinen, Christopher Chen, Wiesje M. van der Flier, Frederik Barkhof, Max A. Viergever, Geert Jan Biessels, Simon Andermatt, Mariana P. Bento, Matt Berseth, Mikhail Belyaev, M. Jorge Cardoso
Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge. IEEE Trans. Medical Imaging 38 (11) (2019)
Ziyue Xu, Xiaosong Wang, Hoo-Chang Shin, Dong Yang, Holger Roth, Fausto Milletari, Ling Zhang, Daguang Xu
Correlation via synthesis: end-to-end nodule image generation and radiogenomic map learning based on generative adversarial network. CoRR (2019)
Xiaosong Wang, Ling Zhang, Holger Roth, Daguang Xu, Ziyue Xu
Interactive 3D Segmentation Editing and Refinement via Gated Graph Neural Networks. GLMI@MICCAI (2019)
Dakai Jin, Ziyue Xu, Adam P. Harrison, Daniel J. Mollura
White matter hyperintensity segmentation from T1 and FLAIR images using fully convolutional neural networks enhanced with residual connections. ISBI (2018)
Dakai Jin, Ziyue Xu, Adam P. Harrison, Daniel J. Mollura
White matter hyperintensity segmentation from T1 and FLAIR images using fully convolutional neural networks enhanced with residual connections. CoRR (2018)
Dakai Jin, Ziyue Xu, Youbao Tang, Adam P. Harrison, Daniel J. Mollura
CT-Realistic Lung Nodule Simulation from 3D Conditional Generative Adversarial Networks for Robust Lung Segmentation. MICCAI (2) (2018)
Ziyue Xu, Mingchen Gao, Georgios Z. Papadakis, Brian Luna, Sanjay Jain, Daniel J. Mollura, Ulas Bagci
Joint solution for PET image segmentation, denoising, and partial volume correction. Medical Image Anal. 46 (2018)
Mingchen Gao, Ulas Bagci, Le Lu, Aaron Wu, Mario Buty, Hoo-Chang Shin, Holger Roth, Georgios Z. Papadakis, Adrien Depeursinge, Ronald M. Summers, Ziyue Xu, Daniel J. Mollura
Holistic classification of CT attenuation patterns for interstitial lung diseases via deep convolutional neural networks. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 6 (1) (2018)
Dakai Jin, Ziyue Xu, Youbao Tang, Adam P. Harrison, Daniel J. Mollura
CT-Realistic Lung Nodule Simulation from 3D Conditional Generative Adversarial Networks for Robust Lung Segmentation. CoRR (2018)
Mingchen Gao, Ziyue Xu, Le Lu, Adam P. Harrison, Ronald M. Summers, Daniel J. Mollura
Holistic Interstitial Lung Disease Detection using Deep Convolutional Neural Networks: Multi-label Learning and Unordered Pooling. CoRR (2017)
Kevin George, Adam P. Harrison, Dakai Jin, Ziyue Xu, Daniel J. Mollura
Pathological Pulmonary Lobe Segmentation from CT Images using Progressive Holistically Nested Neural Networks and Random Walker. CoRR (2017)
Adam P. Harrison, Ziyue Xu, Kevin George, Le Lu, Ronald M. Summers, Daniel J. Mollura
Progressive and Multi-path Holistically Nested Neural Networks for Pathological Lung Segmentation from CT Images. MICCAI (3) (2017)
Adam P. Harrison, Ziyue Xu, Kevin George, Le Lu, Ronald M. Summers, Daniel J. Mollura
Progressive and Multi-Path Holistically Nested Neural Networks for Pathological Lung Segmentation from CT Images. CoRR (2017)
Kevin George, Adam P. Harrison, Dakai Jin, Ziyue Xu, Daniel J. Mollura
Pathological Pulmonary Lobe Segmentation from CT Images Using Progressive Holistically Nested Neural Networks and Random Walker. DLMIA/ML-CDS@MICCAI (2017)
Dakai Jin, Ziyue Xu, Adam P. Harrison, Kevin George, Daniel J. Mollura
3D Convolutional Neural Networks with Graph Refinement for Airway Segmentation Using Incomplete Data Labels. MLMI@MICCAI (2017)
Mario Buty, Ziyue Xu, Mingchen Gao, Ulas Bagci, Aaron Wu, Daniel J. Mollura
Characterization of Lung Nodule Malignancy Using Hybrid Shape and Appearance Features. MICCAI (1) (2016)
Sema Candemir, Stefan Jaeger, Sameer K. Antani, Ulas Bagci, Les R. Folio, Ziyue Xu, George R. Thoma
Atlas-based rib-bone detection in chest X-rays. Comput. Medical Imaging Graph. 51 (2016)
Hoo-Chang Shin, Holger R. Roth, Mingchen Gao, Le Lu, Ziyue Xu, Isabella Nogues, Jianhua Yao, Daniel J. Mollura, Ronald M. Summers
Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning. IEEE Trans. Medical Imaging 35 (5) (2016)
Hoo-Chang Shin, Holger R. Roth, Mingchen Gao, Le Lu, Ziyue Xu, Isabella Nogues, Jianhua Yao, Daniel J. Mollura, Ronald M. Summers
Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning. CoRR (2016)
Aaron Wu, Ziyue Xu, Mingchen Gao, Mario Buty, Daniel J. Mollura
Deep vessel tracking: A generalized probabilistic approach via deep learning. ISBI (2016)
Mario Buty, Ziyue Xu, Mingchen Gao, Ulas Bagci, Aaron Wu, Daniel J. Mollura
Characterization of Lung Nodule Malignancy using Hybrid Shape and Appearance Features. CoRR (2016)
Mingchen Gao, Ziyue Xu, Le Lu, Aaron Wu, Isabella Nogues, Ronald M. Summers, Daniel J. Mollura
Segmentation label propagation using deep convolutional neural networks and dense conditional random field. ISBI (2016)
Mingchen Gao, Ziyue Xu, Le Lu, Adam P. Harrison, Ronald M. Summers, Daniel J. Mollura
Multi-label Deep Regression and Unordered Pooling for Holistic Interstitial Lung Disease Pattern Detection. MLMI@MICCAI (2016)
Ziyue Xu, Ulas Bagci, Mingchen Gao, Daniel J. Mollura
Highly precise partial volume correction for PET images: An iterative approach via shape consistency. ISBI (2015)
Ziyue Xu, Ulas Bagci, Brent Foster, Awais Mansoor, Jayaram K. Udupa, Daniel J. Mollura
A hybrid method for airway segmentation and automated measurement of bronchial wall thickness on CT. Medical Image Anal. 24 (1) (2015)
Awais Mansoor, Ulas Bagci, Ziyue Xu, Brent Foster, Kenneth N. Olivier, Jason M. Elinoff, Anthony F. Suffredini, Jayaram K. Udupa, Daniel J. Mollura
Correction to "A Generic Approach to Pathological Lung Segmentation". IEEE Trans. Medical Imaging 34 (1) (2015)
Awais Mansoor, Ulas Bagci, Brent Foster, Ziyue Xu, Deborah Douglas, Jeffrey M. Solomon, Jayaram K. Udupa, Daniel J. Mollura
CIDI-lung-seg: A single-click annotation tool for automatic delineation of lungs from CT scans. EMBC (2014)
Awais Mansoor, Ulas Bagci, Brent Foster, Ziyue Xu, Deborah Douglas, Jeffrey M. Solomon, Jayaram K. Udupa, Daniel J. Mollura
CIDI-Lung-Seg: A Single-Click Annotation Tool for Automatic Delineation of Lungs from CT Scans. CoRR (2014)
Awais Mansoor, Ulas Bagci, Ziyue Xu, Brent Foster, Kenneth N. Olivier, Jason M. Elinoff, Anthony F. Suffredini, Jayaram K. Udupa, Daniel J. Mollura
A Generic Approach to Pathological Lung Segmentation. IEEE Trans. Medical Imaging 33 (12) (2014)
Brent Foster, Ulas Bagci, Ziyue Xu, Bappaditya Dey, Brian Luna, William Bishai, Sanjay Jain, Daniel J. Mollura
Segmentation of PET Images for Computer-Aided Functional Quantification of Tuberculosis in Small Animal Models. IEEE Trans. Biomed. Eng. 61 (3) (2014)
Brent Foster, Ulas Bagci, Awais Mansoor, Ziyue Xu, Daniel J. Mollura
A review on segmentation of positron emission tomography images. Comput. Biol. Medicine 50 (2014)
Ziyue Xu, Ulas Bagci, Colleen Jonsson, Sanjay Jain, Daniel J. Mollura
Efficient ribcage segmentation from CT scans using shape features. EMBC (2014)
Ziyue Xu, Ulas Bagci, Jurgen Seidel, David Thomasson, Jeffrey M. Solomon, Daniel J. Mollura
Segmentation Based Denoising of PET Images: An Iterative Approach via Regional Means and Affinity Propagation. MICCAI (1) (2014)
Ziyue Xu, Ulas Bagci, Colleen Jonsson, Sanjay Jain, Daniel J. Mollura
Accurate and efficient separation of left and right lungs from 3D CT scans: A generic hysteresis approach. EMBC (2014)
Ulas Bagci, Jayaram K. Udupa, Neil Mendhiratta, Brent Foster, Ziyue Xu, Jianhua Yao, Xinjian Chen, Daniel J. Mollura
Joint segmentation of anatomical and functional images: Applications in quantification of lesions from PET, PET-CT, MRI-PET, and MRI-PET-CT images. Medical Image Anal. 17 (8) (2013)
Brent Foster, Ulas Bagci, Brian Luna, Bappaditya Dey, William Bishai, Sanjay Jain, Ziyue Xu, Daniel J. Mollura
Robust segmentation and accurate target definition for positron emission tomography images using Affinity Propagation. ISBI (2013)
Ziyue Xu, Ulas Bagci, Brent Foster, Daniel J. Mollura
A hybrid multi-scale approach to automatic airway tree segmentation from CT scans. ISBI (2013)
Ziyue Xu, Ulas Bagci, Brent Foster, Awais Mansoor, Daniel J. Mollura
Spatially Constrained Random Walk Approach for Accurate Estimation of Airway Wall Surfaces. MICCAI (2) (2013)
Ziyue Xu, Punam K. Saha, Soura Dasgupta
Tensor scale: An analytic approach with efficient computation and applications. Comput. Vis. Image Underst. 116 (10) (2012)
Ziyue Xu, Zhiyun Gao, Eric A. Hoffman, Punam K. Saha
Tensor scale-based anisotropic region growing for segmentation of elongated biological structures. ISBI (2012)
Yinxiao Liu, Punam K. Saha, Ziyue Xu
Quantitative Characterization of Trabecular Bone Micro-architecture Using Tensor Scale and Multi-Detector CT Imaging. MICCAI (1) (2012)
Ziyue Xu, Fei Zhao, Roshni R. Bhagalia, Bipul Das
Generic rebooting scheme and model-based probabilistic pruning algorithm for tree-like structure tracking. ISBI (2012)
Ziyue Xu, Milan Sonka, Punam K. Saha
Improved tensor scale computation with application to medical image interpolation. Comput. Medical Imaging Graph. 35 (1) (2011)
Punam K. Saha, Ziyue Xu
An Analytic Approach to Tensor Scale with an Efficient Algorithm and Applications to Image Filtering. DICTA (2010)
Ziyue Xu, Milan Sonka, Punam K. Saha
Recent improvements in tensor scale computation and its applications to medical imaging. Medical Imaging: Image Processing (2009)