Follow
Ziyue Xu
Title
Cited by
Cited by
Year
Deep convolutional neural networks for computer-aided detection: CNN architectures, dataset characteristics and transfer learning
HC Shin, HR Roth, M Gao, L Lu, Z Xu, I Nogues, J Yao, D Mollura, ...
IEEE transactions on medical imaging 35 (5), 1285-1298, 2016
58772016
Artificial intelligence for the detection of COVID-19 pneumonia on chest CT using multinational datasets
SA Harmon, TH Sanford, S Xu, EB Turkbey, H Roth, Z Xu, D Yang, ...
Nature communications 11 (1), 4080, 2020
5672020
A review on segmentation of positron emission tomography images
B Foster, U Bagci, A Mansoor, Z Xu, DJ Mollura
Computers in biology and medicine 50, 76-96, 2014
4302014
Generalizing deep learning for medical image segmentation to unseen domains via deep stacked transformation
L Zhang, X Wang, D Yang, T Sanford, S Harmon, B Turkbey, BJ Wood, ...
IEEE transactions on medical imaging 39 (7), 2531-2540, 2020
3602020
Segmentation and image analysis of abnormal lungs at CT: current approaches, challenges, and future trends
A Mansoor, U Bagci, B Foster, Z Xu, GZ Papadakis, LR Folio, JK Udupa, ...
Radiographics 35 (4), 1056-1076, 2015
3132015
Holistic classification of CT attenuation patterns for interstitial lung diseases via deep convolutional neural networks
M Gao, U Bagci, L Lu, A Wu, M Buty, HC Shin, H Roth, GZ Papadakis, ...
Computer Methods in Biomechanics and Biomedical Engineering: Imaging …, 2018
2882018
Standardized assessment of automatic segmentation of white matter hyperintensities and results of the WMH segmentation challenge
HJ Kuijf, JM Biesbroek, J De Bresser, R Heinen, S Andermatt, M Bento, ...
IEEE transactions on medical imaging 38 (11), 2556-2568, 2019
2702019
Monai: An open-source framework for deep learning in healthcare
MJ Cardoso, W Li, R Brown, N Ma, E Kerfoot, Y Wang, B Murrey, ...
arXiv preprint arXiv:2211.02701, 2022
2452022
When radiology report generation meets knowledge graph
Y Zhang, X Wang, Z Xu, Q Yu, A Yuille, D Xu
Proceedings of the AAAI conference on artificial intelligence 34 (07), 12910 …, 2020
2272020
Federated semi-supervised learning for COVID region segmentation in chest CT using multi-national data from China, Italy, Japan
D Yang, Z Xu, W Li, A Myronenko, HR Roth, S Harmon, S Xu, B Turkbey, ...
Medical image analysis 70, 101992, 2021
2242021
CT-Realistic Lung Nodule Simulation from 3D Conditional Generative Adversarial Networks for Robust Lung Segmentation
D Jin, Z Xu, Y Tang, AP Harrison, DJ Mollura
Medical Image Computing and Computer Assisted Intervention – MICCAI 2018 2 …, 2018
2102018
A generic approach to pathological lung segmentation
A Mansoor, U Bagci, Z Xu, B Foster, KN Olivier, JM Elinoff, AF Suffredini, ...
IEEE transactions on medical imaging 33 (12), 2293-2310, 2014
2062014
Joint segmentation of anatomical and functional images: Applications in quantification of lesions from PET, PET-CT, MRI-PET, and MRI-PET-CT images
U Bagci, JK Udupa, N Mendhiratta, B Foster, Z Xu, J Yao, X Chen, ...
Medical image analysis 17 (8), 929-945, 2013
1982013
Progressive and multi-path holistically nested neural networks for pathological lung segmentation from CT images
AP Harrison, Z Xu, K George, L Lu, RM Summers, DJ Mollura
International Conference on Medical Image Computing and Computer-Assisted …, 2017
1592017
Federated learning improves site performance in multicenter deep learning without data sharing
KV Sarma, S Harmon, T Sanford, HR Roth, Z Xu, J Tetreault, D Xu, ...
Journal of the American Medical Informatics Association 28 (6), 1259-1264, 2021
1452021
Mycobacterium tuberculosis dysregulates MMP/TIMP balance to drive rapid cavitation and unrestrained bacterial proliferation
A Kübler, B Luna, C Larsson, NC Ammerman, BB Andrade, M Orandle, ...
The Journal of pathology 235 (3), 431-444, 2015
1192015
Deep vessel tracking: A generalized probabilistic approach via deep learning
A Wu, Z Xu, M Gao, M Buty, DJ Mollura
2016 IEEE 13th International symposium on biomedical imaging (ISBI), 1363-1367, 2016
932016
Interactive segmentation of medical images through fully convolutional neural networks
T Sakinis, F Milletari, H Roth, P Korfiatis, P Kostandy, K Philbrick, Z Akkus, ...
arXiv preprint arXiv:1903.08205, 2019
922019
Capsules for biomedical image segmentation
R LaLonde, Z Xu, I Irmakci, S Jain, U Bagci
Medical image analysis 68, 101889, 2021
852021
Segmentation of PET images for computer-aided functional quantification of tuberculosis in small animal models
B Foster, U Bagci, Z Xu, B Dey, B Luna, W Bishai, S Jain, DJ Mollura
IEEE Transactions on Biomedical Engineering 61 (3), 711-724, 2013
782013
The system can't perform the operation now. Try again later.
Articles 1–20