| & Summers, RM (2016). Deep convolutional neural networks for computer-aided detection: CNN architectures, dataset characteristics and transfer learning S Hoo-Chang, HR Roth, M Gao, L Lu, Z Xu, I Nogues IEEE transactions on medical imaging 35 (5), 1285, 0 | 16 | |
| 3D convolutional neural networks with graph refinement for airway segmentation using incomplete data labels D Jin, Z Xu, AP Harrison, K George, DJ Mollura Machine Learning in Medical Imaging: 8th International Workshop, MLMI 2017 …, 2017 | 66 | 2017 |
| 3D lightweight network for simultaneous registration and segmentation of organs-at-risk in CT images of head and neck cancer B Huang, Y Ye, Z Xu, Z Cai, Y He, Z Zhong, L Liu, X Chen, H Chen, ... IEEE Transactions on Medical Imaging 41 (4), 951-964, 2021 | 16 | 2021 |
| A cascaded deep learning–based artificial intelligence algorithm for automated lesion detection and classification on biparametric prostate magnetic resonance imaging S Mehralivand, D Yang, SA Harmon, D Xu, Z Xu, H Roth, S Masoudi, ... Academic radiology 29 (8), 1159-1168, 2022 | 30 | 2022 |
| A computational platform for quantification of infectious lung disease using PET-CT imaging U Bagci, B Foster, Z Xu, B Luna, B Dey, W Bishai, C Jonsson, S Jain, ... Journal of Nuclear Medicine 54 (supplement 2), 314-314, 2013 | | 2013 |
| A deep-learning based artificial intelligence (AI) approach for differentiation of clear cell renal cell carcinoma from oncocytoma on multi-phasic MRI M Nikpanah, Z Xu, D Jin, F Farhadi, B Saboury, MW Ball, R Gautam, ... Clinical imaging 77, 291-298, 2021 | 34 | 2021 |
| 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 | 206 | 2014 |
| A hybrid method for airway segmentation and automated measurement of bronchial wall thickness on CT Z Xu, U Bagci, B Foster, A Mansoor, JK Udupa, DJ Mollura Medical image analysis 24 (1), 1-17, 2015 | 58 | 2015 |
| A hybrid multi-scale approach to automatic airway tree segmentation from CT scans Z Xu, U Bagci, B Foster, DJ Mollura 2013 IEEE 10th International Symposium on Biomedical Imaging, 1308-1311, 2013 | 16 | 2013 |
| A multichannel block‐matching denoising algorithm for spectral photon‐counting CT images AP Harrison, Z Xu, A Pourmorteza, DA Bluemke, DJ Mollura Medical physics 44 (6), 2447-2452, 2017 | 21 | 2017 |
| 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 | 426 | 2014 |
| Accounting for dependencies in deep learning based multiple instance learning for whole slide imaging A Myronenko, Z Xu, D Yang, HR Roth, D Xu International Conference on Medical Image Computing and Computer-Assisted …, 2021 | 38 | 2021 |
| Accurate and efficient separation of left and right lungs from 3D CT scans: a generic hysteresis approach Z Xu, U Bagci, C Jonsson, S Jain, DJ Mollura 2014 36th Annual International Conference of the IEEE Engineering in …, 2014 | 6 | 2014 |
| Accurate quantification of brown adipose tissue through PET-guided CT image segmentation A Sandouk, U Bagci, Z Xu, A Mansoor, B Foster, D Mollura Journal of Nuclear Medicine 54 (supplement 2), 318-318, 2013 | 3 | 2013 |
| Affinity propagation clustering determines distributed uptake regions in PET images: A computer-aided approach for quantification of pulmonary infections in small animals B Foster, U Bagci, Z Xu, B Dey, B Luna, W Bishai, S Jain, D Mollura Journal of Nuclear Medicine 54 (supplement 2), 313-313, 2013 | | 2013 |
| An analytic approach to tensor scale with an efficient algorithm and applications to image filtering PK Saha, Z Xu 2010 International Conference on Digital Image Computing: Techniques and …, 2010 | 6 | 2010 |
| An analytic approach to tensor scale with efficient computational solution and applications to medical imaging Z Xu University of Iowa, 2012 | | 2012 |
| An improved algorithm to compute tensor scale and its application to medical image interpolation Z Xu, M Sonka, PK Saha MIPPR 2009: Medical Imaging, Parallel Processing of Images, and Optimization …, 2009 | | 2009 |
| Application of image processing techniques in molecular imaging of cancer B Huang, G Zheng, Z Xu, S Rao, S Wang Contrast media & molecular imaging 2017, 2017 | 4 | 2017 |
| 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 | 576 | 2020 |
Holger R. RothNVIDIA在 nvidia.com 的电子邮件经过验证
