| A deep neural network for unsupervised anomaly detection and diagnosis in multivariate time series data C Zhang, D Song, Y Chen, X Feng, C Lumezanu, W Cheng, J Ni, B Zong, ... Proceedings of the AAAI conference on artificial intelligence 33 (01), 1409-1416, 2019 | 855 | 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 | 180 | 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 | 81* | 2020 |
| Hippocampal pathology in clinical high-risk patients and the onset of schizophrenia FA Provenzano, J Guo, MM Wall, X Feng, HC Sigmon, G Brucato, MB First, ... Biological psychiatry 87 (3), 234-242, 2020 | 76 | 2020 |
| Convolutional transformer based dual discriminator generative adversarial networks for video anomaly detection X Feng, D Song, Y Chen, Z Chen, J Ni, H Chen Proceedings of the 29th ACM International Conference on Multimedia, 5546-5554, 2021 | 69 | 2021 |
| Alzheimer's vulnerable brain region relies on a distinct retromer core dedicated to endosomal recycling S Simoes, J Guo, L Buitrago, YH Qureshi, X Feng, M Kothiya, E Cortes, ... Cell reports 37 (13), 2021 | 46 | 2021 |
| Insights into the role of diet and dietary flavanols in cognitive aging: results of a randomized controlled trial RP Sloan, M Wall, LK Yeung, T Feng, X Feng, F Provenzano, H Schroeter, ... Scientific Reports 11 (1), 3837, 2021 | 46 | 2021 |
| A deep learning MRI approach outperforms other biomarkers of prodromal Alzheimer’s disease X Feng, FA Provenzano, SA Small Alzheimer's Research & Therapy 14 (1), 1-11, 2022 | 39 | 2022 |
| Brain regions vulnerable and resistant to aging without Alzheimer’s disease X Feng, J Guo, HC Sigmon, RP Sloan, AM Brickman, FA Provenzano, ... Plos one 15 (7), e0234255, 2020 | 39 | 2020 |
| Substituting gadolinium in brain MRI using DeepContrast H Sun, X Liu, X Feng, C Liu, N Zhu, SJ Gjerswold-Selleck, HJ Wei, ... 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 908-912, 2020 | 28 | 2020 |
| 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 |
| Enhanced effective connectivity in mild occipital stroke patients with hemianopia X Guo, Z Jin, X Feng, S Tong IEEE transactions on neural systems and rehabilitation engineering 22 (6 …, 2014 | 26 | 2014 |
| 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 |
| Deep learning improves utility of tau PET in the study of Alzheimer's disease J Zou, D Park, A Johnson, X Feng, M Pardo, J France, Z Tomljanovic, ... Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring 13 (1 …, 2021 | 13 | 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 |
| Fully convolutional transformer based generative adversarial networks D Song, Y Chen, H Chen, X Feng US Patent 11,538,143, 2022 | 12 | 2022 |
| 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 | 11 | 2020 |
| 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 |
| Depression is associated with preserved cortical thickness relative to apathy in frontotemporal dementia R Basavaraju, X Feng, J France, ED Huey, FA Provenzano Journal of geriatric psychiatry and neurology 35 (1), 78-88, 2022 | 10 | 2022 |
| Deep learning of MRI contrast enhancement for mapping cerebral blood volume from single-modal non-contrast scans of aging and Alzheimer's disease brains C Liu, N Zhu, H Sun, J Zhang, X Feng, S Gjerswold-Selleck, D Sikka, ... Frontiers in Aging Neuroscience 14, 923673, 2022 | 9 | 2022 |
Scott A. SmallColumbia University在 columbia.edu 的电子邮件经过验证
