Ziyue Xu

发表

Interstitial Lung Diseases via Deep Convolutional Neural Networks: Segmentation Label Propagation, Unordered Pooling and Cross-Dataset Learning

Mingchen Gao, Daniel J. Mollura, Ziyue Xu, 2017, Deep Learning and Convolutional Neural Networks for Medical Image Computing.

Recent improvements in tensor scale computation and new applications to medical image registration and interpolation

Ziyue Xu, Ziyue Xu, 2009 .

Searching Learning Strategy with Reinforcement Learning for 3D Medical Image Segmentation pdf

Daguang Xu, Ling Zhang, Fausto Milletari, 2019, MICCAI.

NeurReg: Neural Registration and Its Application to Image Segmentation

Daguang Xu, Wenqi Li, Wentao Zhu, 2019, 2020 IEEE Winter Conference on Applications of Computer Vision (WACV).

Recent improvements in tensor scale computation and its applications to medical imaging

Milan Sonka, Punam K. Saha, Ziyue Xu, 2009, Medical Imaging.

Tunable CT Lung Nodule Synthesis Conditioned on Background Image and Semantic Features

Daguang Xu, Xiaosong Wang, Ling Zhang, 2019, SASHIMI@MICCAI.

3D Convolutional Neural Networks with Graph Refinement for Airway Segmentation Using Incomplete Data Labels

Adam P. Harrison, Dakai Jin, Daniel J. Mollura, 2017, MLMI@MICCAI.

Correction to "A Generic Approach to Pathological Lung Segmentation"

Jayaram K. Udupa, Ulas Bagci, Daniel J. Mollura, 2015, IEEE Trans. Medical Imaging.

Holistic classification of CT attenuation patterns for interstitial lung diseases via deep convolutional neural networks

Ronald M. Summers, Ulas Bagci, Holger Roth, 2018, Comput. methods Biomech. Biomed. Eng. Imaging Vis..

Progressive and Multi-path Holistically Nested Neural Networks for Pathological Lung Segmentation from CT Images pdf

Ronald M. Summers, Adam P. Harrison, Le Lu, 2017, MICCAI.

Going to Extremes: Weakly Supervised Medical Image Segmentation pdf

Dong Yang, Daguang Xu, Xiaosong Wang, 2020, Mach. Learn. Knowl. Extr..

Joint solution for PET image segmentation, denoising, and partial volume correction

Ulas Bagci, Mingchen Gao, Daniel J. Mollura, 2018, Medical Image Anal..

Pathological Pulmonary Lobe Segmentation from CT Images Using Progressive Holistically Nested Neural Networks and Random Walker pdf

Adam P. Harrison, Dakai Jin, Daniel J. Mollura, 2017, DLMIA/ML-CDS@MICCAI.

A hybrid multi-scale approach to automatic airway tree segmentation from CT scans

Ulas Bagci, Daniel J. Mollura, Ziyue Xu, 2013, 2013 IEEE 10th International Symposium on Biomedical Imaging.

Efficient ribcage segmentation from CT scans using shape features

Ulas Bagci, Daniel J. Mollura, Ziyue Xu, 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Interactive 3D Segmentation Editing and Refinement via Gated Graph Neural Networks

Daguang Xu, Xiaosong Wang, Ling Zhang, 2019, GLMI@MICCAI.

Capsules for Biomedical Image Segmentation

Ulas Bagci, Sanjay Jain, Rodney LaLonde, 2020, Medical Image Anal..

Tensor scale-based anisotropic region growing for segmentation of elongated biological structures

Eric A. Hoffman, Punam K. Saha, Zhiyun Gao, 2012, 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI).

Application of Image Processing Techniques in Molecular Imaging of Cancer

Guoyan Zheng, Silun Wang, Ziyue Xu, 2017, Contrast media & molecular imaging.

Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning

Ronald M. Summers, Jianhua Yao, Mingchen Gao, 2016, IEEE Transactions on Medical Imaging.

Highly precise partial volume correction for PET images: An iterative approach via shape consistency

Ulas Bagci, Mingchen Gao, Daniel J. Mollura, 2015, 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI).

An Analytic Approach to Tensor Scale with an Efficient Algorithm and Applications to Image Filtering

Punam K. Saha, Ziyue Xu, 2010, 2010 International Conference on Digital Image Computing: Techniques and Applications.

Atlas-based rib-bone detection in chest X-rays

Ulas Bagci, George R. Thoma, Sema Candemir, 2016, Comput. Medical Imaging Graph..

Spatially Constrained Random Walk Approach for Accurate Estimation of Airway Wall Surfaces

Ulas Bagci, Daniel J. Mollura, Awais Mansoor, 2013, MICCAI.

CT-Realistic Lung Nodule Simulation from 3D Conditional Generative Adversarial Networks for Robust Lung Segmentation

Youbao Tang, Adam P. Harrison, Dakai Jin, 2018, MICCAI.

Learning Image Labels On-the-fly for Training Robust Classification Models pdf

Dong Yang, Daguang Xu, Xiaosong Wang, 2020, ArXiv.

Accurate and efficient separation of left and right lungs from 3D CT scans: A generic hysteresis approach

Ulas Bagci, Daniel J. Mollura, Ziyue Xu, 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Weakly supervised segmentation from extreme points

Daguang Xu, Ling Zhang, Fausto Milletari, 2019, LABELS/HAL-MICCAI/CuRIOUS@MICCAI.

Correlation via synthesis: end-to-end nodule image generation and radiogenomic map learning based on generative adversarial network pdf

Dong Yang, Daguang Xu, Xiaosong Wang, 2019, ArXiv.

Robust segmentation and accurate target definition for positron emission tomography images using Affinity Propagation

Ulas Bagci, Daniel J. Mollura, Ziyue Xu, 2013, 2013 IEEE 10th International Symposium on Biomedical Imaging.

White matter hyperintensity segmentation from T1 and FLAIR images using fully convolutional neural networks enhanced with residual connections

Adam P. Harrison, Dakai Jin, Daniel J. Mollura, 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018).

Characterization of Lung Nodule Malignancy Using Hybrid Shape and Appearance Features

Ulas Bagci, Mingchen Gao, Daniel J. Mollura, 2016, MICCAI.

Quantitative Characterization of Trabecular Bone Micro-architecture Using Tensor Scale and Multi-Detector CT Imaging

Punam K. Saha, Yinxiao Liu, Ziyue Xu, 2012, MICCAI.

A hybrid method for airway segmentation and automated measurement of bronchial wall thickness on CT

Jayaram K. Udupa, Ulas Bagci, Daniel J. Mollura, 2015, Medical Image Anal..

An Analytic Approach To Tensor Scale

Ziyue Xu, 2012 .

ScribbleBox: Interactive Annotation Framework for Video Object Segmentation pdf

Sanja Fidler, Gao Jun, Xiaohui Zeng, 2020, ECCV.

Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge

Simon Andermatt, Simon Pezold, Sang Hyun Park, 2019, IEEE Transactions on Medical Imaging.

Segmentation Based Denoising of PET Images: An Iterative Approach via Regional Means and Affinity Propagation

Ulas Bagci, Daniel J. Mollura, David Thomasson, 2014, MICCAI.

Cardiac Segmentation of LGE MRI with Noisy Labels

Daguang Xu, Wentao Zhu, Ziyue Xu, 2019, STACOM@MICCAI.

Deep vessel tracking: A generalized probabilistic approach via deep learning

Mingchen Gao, Daniel J. Mollura, Ziyue Xu, 2016, 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI).

A Generic Approach to Pathological Lung Segmentation

Jayaram K. Udupa, Ulas Bagci, Daniel J. Mollura, 2014, IEEE Transactions on Medical Imaging.

Enhancing Foreground Boundaries for Medical Image Segmentation pdf

Dong Yang, Daguang Xu, Xiaosong Wang, 2020, ArXiv.

Generalizing Deep Learning for Medical Image Segmentation to Unseen Domains via Deep Stacked Transformation

Daguang Xu, Bradford J. Wood, Ling Zhang, 2020, IEEE Transactions on Medical Imaging.

LAMP: Large Deep Nets with Automated Model Parallelism for Image Segmentation pdf

Daguang Xu, Wenqi Li, Wentao Zhu, 2020, MICCAI.

Segmentation of PET Images for Computer-Aided Functional Quantification of Tuberculosis in Small Animal Models

Ulas Bagci, Daniel J. Mollura, Ziyue Xu, 2014, IEEE Transactions on Biomedical Engineering.

Improved tensor scale computation with application to medical image interpolation

Milan Sonka, Punam K. Saha, Ziyue Xu, 2011, Comput. Medical Imaging Graph..

Correlation via Synthesis: End-to-end Image Generation and Radiogenomic Learning Based on Generative Adversarial Network

Daguang Xu, Xiaosong Wang, Ling Zhang, 2020, MIDL.

A multichannel block‐matching denoising algorithm for spectral photon‐counting CT images

Ziyue Xu, Amir Pourmorteza, Adam P. Harrison, 2017, Medical physics.

Computer-aided detection and quantification of cavitary tuberculosis from CT scans.

Sanjay Jain, Ulas Bagci, Ziyue Xu, 2013, Medical physics.

An improved algorithm to compute tensor scale and its application to medical image interpolation

Milan Sonka, Punam K. Saha, Ziyue Xu, 2009, International Symposium on Multispectral Image Processing and Pattern Recognition.

Tensor scale: An analytic approach with efficient computation and applications

Punam K. Saha, Soura Dasgupta, Ziyue Xu, 2012, Comput. Vis. Image Underst..

CIDI-lung-seg: A single-click annotation tool for automatic delineation of lungs from CT scans

Jayaram K. Udupa, Ulas Bagci, Daniel J. Mollura, 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Generic rebooting scheme and model-based probabilistic pruning algorithm for tree-like structure tracking

Bipul Das, Fei Zhao, Ziyue Xu, 2012, 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI).

Accurate quantification of brown adipose tissue through PET-guided CT image segmentation

Ulas Bagci, Daniel J. Mollura, Awais Mansoor, 2013 .

Fuzzy Connectedness Image Co-segmentation for HybridPET/MRI and PET/CT Scans

Jayaram K. Udupa, Ulas Bagci, Daniel J. Mollura, 2015 .

When Unseen Domain Generalization is Unnecessary? Rethinking Data Augmentation pdf

Dong Yang, Thomas Sanford, Daguang Xu, 2019, ArXiv.

Holistic Interstitial Lung Disease Detection using Deep Convolutional Neural Networks: Multi-label Learning and Unordered Pooling pdf

Ronald M. Summers, Adam P. Harrison, Le Lu, 2017, ArXiv.

A review on segmentation of positron emission tomography images

Ulas Bagci, Daniel J. Mollura, Awais Mansoor, 2014, Comput. Biol. Medicine.

Interactive segmentation of medical images through fully convolutional neural networks pdf

Daguang Xu, Holger Roth, Bradley J. Erickson, 2019, ArXiv.

Segmentation label propagation using deep convolutional neural networks and dense conditional random field

Ronald M. Summers, Le Lu, Mingchen Gao, 2016, 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI).

When Radiology Report Generation Meets Knowledge Graph pdf

Daguang Xu, Xiaosong Wang, Qihang Yu, 2020, AAAI.

Joint segmentation of anatomical and functional images: Applications in quantification of lesions from PET, PET-CT, MRI-PET, and MRI-PET-CT images

Xinjian Chen, Jayaram K. Udupa, Ulas Bagci, 2013, Medical Image Anal..

Three Aspects on Using Convolutional Neural Networks for Computer-Aided Detection in Medical Imaging

Ronald M. Summers, Jianhua Yao, Holger Roth, 2017, Deep Learning and Convolutional Neural Networks for Medical Image Computing.

Multi-label Deep Regression and Unordered Pooling for Holistic Interstitial Lung Disease Pattern Detection

Ronald M. Summers, Adam P. Harrison, Le Lu, 2016, MLMI@MICCAI.

Federated learning improves site performance in multicenter deep learning without data sharing

Daguang Xu, Baris Turkbey, Jesse Tetreault, 2021, J. Am. Medical Informatics Assoc..

Quantitative Image Quality Comparison of Reduced- and Standard-Dose Dual-Energy Multiphase Chest, Abdomen, and Pelvis CT

Ulas Bagci, Baris Turkbey, Daniel J. Mollura, 2017, Tomography.

Proceedings from the First Global Artificial Intelligence in Gastroenterology and Endoscopy Summit.

Ulas Bagci, Yuichi Mori, Keyvan Farahani, 2020, Gastrointestinal endoscopy.