| 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 | 2901 | 2016 |
| 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 | 275 | 2014 |
| 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 | 176 | 2018 |
| 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 | 165 | 2015 |
| 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 | 164 | 2013 |
| 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 | 150 | 2014 |
| 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 | 99 | 2017 |
| 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 | 86 | 2015 |
| 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 | 79 | 2018 |
| 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 | 78 | 2019 |
| 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 | 60 | 2013 |
| 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), 1-7, 2020 | 58 | 2020 |
| 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 | 51 | 2016 |
| Characterization of lung nodule malignancy using hybrid shape and appearance features M Buty, Z Xu, M Gao, U Bagci, A Wu, DJ Mollura International Conference on Medical Image Computing and Computer-Assisted …, 2016 | 42 | 2016 |
| Mouse model of pulmonary cavitary tuberculosis and expression of matrix metalloproteinase-9 AA Ordonez, R Tasneen, S Pokkali, Z Xu, PJ Converse, MH Klunk, ... Disease models & mechanisms 9 (7), 779-788, 2016 | 41 | 2016 |
| Segmentation label propagation using deep convolutional neural networks and dense conditional random field M Gao, Z Xu, L Lu, A Wu, I Nogues, RM Summers, DJ Mollura 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI), 1265-1268, 2016 | 38 | 2016 |
| 3D convolutional neural networks with graph refinement for airway segmentation using incomplete data labels D Jin, Z Xu, AP Harrison, K George, DJ Mollura International Workshop on Machine Learning in Medical Imaging, 141-149, 2017 | 36 | 2017 |
| 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 | 35 | 2015 |
| Pathological pulmonary lobe segmentation from CT images using progressive holistically nested neural networks and random walker K George, AP Harrison, D Jin, Z Xu, DJ Mollura Deep learning in medical image analysis and multimodal learning for clinical …, 2017 | 31 | 2017 |
| Characterization of trabecular bone plate‐rod microarchitecture using multirow detector CT and the tensor scale: Algorithms, validation, and applications to pilot human studies PK Saha, Y Liu, C Chen, D Jin, EM Letuchy, Z Xu, RE Amelon, TL Burns, ... Medical physics 42 (9), 5410-5425, 2015 | 27 | 2015 |
Ulas BagciNorthwestern UniversityVerified email at northwestern.edu
