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Jie Yang
Jie Yang
Dirección de correo verificada de google.com
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Association between long-term exposure to ambient air pollution and change in quantitatively assessed emphysema and lung function
M Wang, CP Aaron, J Madrigano, EA Hoffman, E Angelini, J Yang, ...
Jama 322 (6), 546-556, 2019
3082019
Discriminative localization in CNNs for weakly-supervised segmentation of pulmonary nodules
X Feng, J Yang, AF Laine, ED Angelini
Medical Image Computing and Computer Assisted Intervention− MICCAI 2017 …, 2017
1662017
Estimating brain age based on a uniform healthy population with deep learning and structural magnetic resonance imaging
X Feng, ZC Lipton, J Yang, SA Small, FA Provenzano, ...
Neurobiology of aging 91, 15-25, 2020
652020
Class-aware adversarial lung nodule synthesis in CT images
J Yang, S Liu, S Grbic, AAA Setio, Z Xu, E Gibson, G Chabin, ...
2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019 …, 2019
402019
Deep learning for distinguishing normal versus abnormal chest radiographs and generalization to two unseen diseases tuberculosis and COVID-19
Z Nabulsi, A Sellergren, S Jamshy, C Lau, E Santos, AP Kiraly, W Ye, ...
Scientific reports 11 (1), 15523, 2021
382021
A longitudinal cohort study of aspirin use and progression of emphysema-like lung characteristics on CT imaging: the MESA lung study
CP Aaron, JE Schwartz, EA Hoffman, E Angelini, JHM Austin, M Cushman, ...
Chest 154 (1), 41-50, 2018
352018
Unsupervised discovery of spatially-informed lung texture patterns for pulmonary emphysema: The MESA COPD study
J Yang, ED Angelini, PP Balte, EA Hoffman, JHM Austin, BM Smith, ...
Medical Image Computing and Computer Assisted Intervention− MICCAI 2017 …, 2017
322017
Deep learning on MRI affirms the prominence of the hippocampal formation in Alzheimer’s disease classification
X Feng, J Yang, ZC Lipton, SA Small, FA Provenzano, ...
bioRxiv, 456277, 2018
262018
A robust automated markerless registration framework for neurosurgery navigation
L Jiang, S Zhang, J Yang, X Zhuang, L Zhang, L Gu
The International Journal of Medical Robotics and Computer Assisted Surgery …, 2015
242015
Explaining radiological emphysema subtypes with unsupervised texture prototypes: MESA COPD study
J Yang, ED Angelini, BM Smith, JHM Austin, EA Hoffman, DA Bluemke, ...
Medical Computer Vision and Bayesian and Graphical Models for Biomedical …, 2017
202017
Decompose to manipulate: manipulable object synthesis in 3D medical images with structured image decomposition
S Liu, E Gibson, S Grbic, Z Xu, AAA Setio, J Yang, B Georgescu, ...
arXiv preprint arXiv:1812.01737, 2018
182018
Texton and sparse representation based texture classification of lung parenchyma in CT images
J Yang, X Feng, ED Angelini, AF Laine
2016 38th Annual International Conference of the IEEE Engineering in …, 2016
162016
Alzheimer's disease diagnosis based on anatomically stratified texture analysis of the hippocampus in structural MRI
X Feng, J Yang, AF Laine, ED Angelini
2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018 …, 2018
132018
Novel subtypes of pulmonary emphysema based on spatially-informed lung texture learning: the multi-ethnic study of Atherosclerosis (MESA) COPD study
J Yang, ED Angelini, PP Balte, EA Hoffman, JHM Austin, BM Smith, ...
IEEE transactions on medical imaging 40 (12), 3652-3662, 2021
122021
Unsupervised domain adaption with adversarial learning (UDAA) for emphysema subtyping on cardiac CT scans: The mesa study
J Yang, T Vetterli, PP Balte, RG Barr, AF Laine, ED Angelini
2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019 …, 2019
102019
Generative method to discover emphysema subtypes with unsupervised learning using lung macroscopic patterns (LMPS): The MESA COPD study
J Song, J Yang, B Smith, P Balte, EA Hoffman, RG Barr, AF Laine, ...
2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017 …, 2017
102017
Emphysema quantification on cardiac CT scans using hidden Markov measure field model: the MESA Lung Study
J Yang, ED Angelini, PP Balte, EA Hoffman, CO Wu, BA Venkatesh, ...
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2016: 19th …, 2016
102016
Characterizing Alzheimer's disease with image and genetic biomarkers using supervised topic models
J Yang, X Feng, AF Laine, ED Angelini
IEEE journal of biomedical and health informatics 24 (4), 1180-1187, 2019
92019
Estimating brain age based on a healthy population with deep learning and structural MRI
X Feng, ZC Lipton, J Yang, SA Small, FA Provenzano
arXiv preprint arXiv:1907.00943, 2019
92019
Pulmonary emphysema subtypes defined by unsupervised machine learning on CT scans
ED Angelini, J Yang, PP Balte, EA Hoffman, AW Manichaikul, Y Sun, ...
Thorax 78 (11), 1067-1079, 2023
82023
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