| 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 | 333 | 2019 |
| 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 | 179 | 2017 |
| 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 | 74 | 2020 |
| 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 | 44 | 2021 |
| 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 | 42 | 2019 |
| 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 | 36 | 2018 |
| 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 | 32 | 2017 |
| 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 | 27 | 2018 |
| 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 | 24 | 2015 |
| 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 | 20 | 2017 |
| 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 | 19 | 2018 |
| 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 | 16 | 2023 |
| 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 | 16 | 2016 |
| 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 | 14 | 2021 |
| 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 | 13 | 2018 |
| 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 | 11 | 2019 |
| Encoding Human Cortex Using Spherical CNNs-A Study on Alzheimer's Disease Classification H Barbaroux, X Feng, J Yang, AF Laine, ED Angelini 2020 IEEE 17th international symposium on biomedical imaging (ISBI), 1322-1325, 2020 | 10 | 2020 |
| 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 | 10 | 2019 |
| 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 | 10 | 2017 |
| 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 | 10 | 2016 |
Andrew F. LaineColumbia University在 columbia.edu 的电子邮件经过验证
