Xue Feng

Hooshangnejad, H., Chen, Q., Feng, X., Zhang, R., & Ding, K. (2023). deepPERFECT: Novel Deep Learning CT Synthesis Method for Expeditious Pancreatic Cancer Radiotherapy. CANCERS, 15(11). doi:10.3390/cancers15113061

Zhao, L. -M., Zhang, H., Kim, D. D., Ghimire, K., Hu, R., Kargilis, D. C., . . . Feng, X. (2023). Head and neck tumor segmentation convolutional neural network robust to missing PET/CT modalities using channel dropout. PHYSICS IN MEDICINE AND BIOLOGY, 68(9). doi:10.1088/1361-6560/accac9

Kellogg, R. T., Park, M. S., Snyder, M. H., Marino, A., Patel, S., Feng, X., & Vargas, J. (2023). Establishment of Age- and Sex-Specific Reference Cerebral Ventricle Volumes. WORLD NEUROSURGERY, 175, E976-E983. doi:10.1016/j.wneu.2023.04.055

Wang, Z., Ramasawmy, R., Feng, X., Campbell-Washburn, A. E., Mugler III, J. P., & Meyer, C. H. (2023). Concomitant magnetic-field compensation for 2D spiral-ring turbo spin-echo imaging at 0.55T and 1.5T. MAGNETIC RESONANCE IN MEDICINE, 90(2), 552-568. doi:10.1002/mrm.29663

Wang, Z., Allen, S. P., Feng, X., Mugler, J. P. I. I. I., & Meyer, C. H. (2022). SPRING-RIO TSE: 2D T₂-Weighted Turbo Spin-Echo brain imaging using SPiral RINGs with retraced in/out trajectories. MAGNETIC RESONANCE IN MEDICINE, 88(2), 601-616. doi:10.1002/mrm.29210

Lalande, A., Chen, Z., Pommier, T., Decourselle, T., Qayyum, A., Salomon, M., . . . Meriaudeau, F. (2022). Deep learning methods for automatic evaluation of delayed enhancement-MRI. The results of the EMIDEC challenge. MEDICAL IMAGE ANALYSIS, 79. doi:10.1016/j.media.2022.102428

Zhao, L., Asis-Cruz, J. D., Feng, X., Wu, Y., Kapse, K., Largent, A., . . . Limperopoulos, C. (2022). Automated 3D Fetal Brain Segmentation Using an Optimized Deep Learning Approach. AMERICAN JOURNAL OF NEURORADIOLOGY, 43(3), 448-454. doi:10.3174/ajnr.A7419

Qing, K., Nie, K., Liu, B., Feng, X., Stone, J. R., Cui, T., . . . Chundury, A. (2022). The Impact of Optic Nerve Movement on Intracranial Radiation Treatment. FRONTIERS IN ONCOLOGY, 12. doi:10.3389/fonc.2022.803329

Oreiller, V., Andrearczyk, V., Jreige, M., Boughdad, S., Elhalawani, H., Castelli, J., . . . Depeursinge, A. (2022). Head and neck tumor segmentation in PET/CT: The HECKTOR challenge. MEDICAL IMAGE ANALYSIS, 77. doi:10.1016/j.media.2021.102336

Balagurunathan, Y., Beers, A., Mcnitt-Gray, M., Hadjiiski, L., Napel, S., Goldgof, D., . . . Farahani, K. (2021). Lung Nodule Malignancy Prediction in Sequential CT Scans: Summary of ISBI 2018 Challenge. IEEE TRANSACTIONS ON MEDICAL IMAGING, 40(12), 3748-3761. doi:10.1109/TMI.2021.3097665

Peng, J., Kim, D. D., Patel, J. B., Zeng, X., Huang, J., Chang, K., . . . Bai, H. X. (2021). Deep learning-based automatic tumor burden assessment of pediatric high-grade gliomas, medulloblastomas, and other leptomeningeal seeding tumors (Jun, noab151, 2021). NEURO-ONCOLOGY, 23(12), 2124. doi:10.1093/neuonc/noab226

Peng, J., Kim, D. D., Patel, J. B., Zeng, X., Huang, J., Chang, K., . . . Bai, H. X. (2022). Deep learning-based automatic tumor burden assessment of pediatric high-grade gliomas, medulloblastomas, and other leptomeningeal seeding tumors. NEURO-ONCOLOGY, 24(2), 289-299. doi:10.1093/neuonc/noab151

Timmins, K. M., van der Schaaf, I. C., Bennink, E., Ruigrok, Y. M., An, X., Baumgartner, M., . . . Kuijf, H. J. (2021). Comparing methods of detecting and segmenting unruptured intracranial aneurysms on TOF-MRAS: The ADAM challenge. NEUROIMAGE, 238. doi:10.1016/j.neuroimage.2021.118216

Abdi, M., Feng, X., Sun, C., Bilchick, K. C., Meyer, C. H., & Epstein, F. H. (2021). Suppression of artifact-generating echoes in cine DENSE using deep learning. MAGNETIC RESONANCE IN MEDICINE, 86(4), 2095-2104. doi:10.1002/mrm.28832

Feng, X., Wang, Z., & Meyer, C. H. (2021). Real-time dynamic vocal tract imaging using an accelerated spiral GRE sequence and low rank plus sparse reconstruction. MAGNETIC RESONANCE IMAGING, 80, 106-112. doi:10.1016/j.mri.2021.04.016

Sun, Y., Gao, K., Wu, Z., Li, G., Zong, X., Lei, Z., . . . Li, W. (2021). Multi-Site Infant Brain Segmentation Algorithms: The iSeg-2019 Challenge. IEEE TRANSACTIONS ON MEDICAL IMAGING, 40(5), 1363-1376. doi:10.1109/TMI.2021.3055428

Pal, N., Abernathy, J. H., Taylor, M. A., Bollen, B. A., Shah, A. S., Feng, X., . . . Kertai, M. D. (2021). Dexmedetomidine, Delirium, and Adverse Outcomes: Analysis of the Society of Thoracic Surgeons Adult Cardiac Surgery Database.. The Annals of thoracic surgery, 112(6), 1886-1892. doi:10.1016/j.athoracsur.2021.03.098

Ghadimi, S., Auger, D. A., Feng, X., Sun, C., Meyer, C. H., Bilchick, K. C., . . . Epstein, F. H. (2021). Fully-automated global and segmental strain analysis of DENSE cardiovascular magnetic resonance using deep learning for segmentation and phase unwrapping. JOURNAL OF CARDIOVASCULAR MAGNETIC RESONANCE, 23(1). doi:10.1186/s12968-021-00712-9

Purkayastha, S., Xiao, Y., Jiao, Z., Thepumnoeysuk, R., Halsey, K., Wu, J., . . . Bai, H. X. (2021). Machine Learning-Based Prediction of COVID-19 Severity and Progression to Critical Illness Using CT Imaging and Clinical Data. KOREAN JOURNAL OF RADIOLOGY, 22(7), 1213-1224. doi:10.3348/kjr.2020.1104

Allen, S. P., Prada, F., Xu, Z., Gatesman, J., Feng, X., Sporkin, H., . . . Meyer, C. H. (2021). A preclinical study of diffusion-weighted MRI contrast as an early indicator of thermal ablation. MAGNETIC RESONANCE IN MEDICINE, 85(4), 2145-2159. doi:10.1002/mrm.28537

Aliotta, E., Dutta, S. W., Feng, X., Tustison, N. J., Batchala, P. P., Schiff, D., . . . Patel, S. H. (2020). Automated apparent diffusion coefficient analysis for genotype prediction in lower grade glioma: association with the T2-FLAIR mismatch sign. JOURNAL OF NEURO-ONCOLOGY, 149(2), 325-335. doi:10.1007/s11060-020-03611-8

Geng, J., Hu, P., Ji, Z., Li, C., Li, L., Shen, J., . . . Zhang, H. (2020). Accuracy and reliability of computer-assisted semi-automated morphological analysis of intracranial aneurysms: an experimental study with digital phantoms and clinical aneurysm cases. INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY, 15(10), 1749-1759. doi:10.1007/s11548-020-02218-8

Feng, X., Bernard, M. E., Hunter, T., & Chen, Q. (2020). Improving accuracy and robustness of deep convolutional neural network based thoracic OAR segmentation. PHYSICS IN MEDICINE AND BIOLOGY, 65(7). doi:10.1088/1361-6560/ab7877

Feng, X., Tustison, N. J., Patel, S. H., & Meyer, C. H. (2020). Brain Tumor Segmentation Using an Ensemble of 3D U-Nets and Overall Survival Prediction Using Radiomic Features. FRONTIERS IN COMPUTATIONAL NEUROSCIENCE, 14. doi:10.3389/fncom.2020.00025

Ni, R., Meyer, C. H., Blemker, S. S., Hart, J. M., & Feng, X. (2019). Automatic segmentation of all lower limb muscles from high-resolution magnetic resonance imaging using a cascaded three-dimensional deep convolutional neural network. JOURNAL OF MEDICAL IMAGING, 6(4). doi:10.1117/1.JMI.6.4.044009

Pelland, C. M., Feng, X., Horowitz, K. C., Meyer, C. H., & Blemker, S. S. (2019). A Dynamic Magnetic Resonance Imaging-Based Method to Examine In Vivo Levator Veli Palatini Muscle Function During Speech. JOURNAL OF SPEECH LANGUAGE AND HEARING RESEARCH, 62(8), 2713-2722. doi:10.1044/2019_JSLHR-S-18-0459

Feng, X., Qing, K., Tustison, N. J., Meyer, C. H., & Chen, Q. (2019). Deep convolutional neural network for segmentation of thoracic organs-at-risk using cropped 3D images. MEDICAL PHYSICS, 46(5), 2169-2180. doi:10.1002/mp.13466

Allen, S. P., Feng, X., Fielden, S. W., & Meyer, C. H. (2019). Correcting image blur in spiral, retraced in/out (RIO) acquisitions using a maximized energy objective. MAGNETIC RESONANCE IN MEDICINE, 81(3), 1806-1817. doi:10.1002/mrm.27541

Yang, J., Veeraraghavan, H., Armato, S. G. I. I. I., Farahani, K., Kirby, J. S., Kalpathy-Kramer, J., . . . Sharp, G. C. (2018). Autosegmentation for thoracic radiation treatment planning: A grand challenge at AAPM 2017. MEDICAL PHYSICS, 45(10), 4568-4581. doi:10.1002/mp.13141

Tustison, N. J., Avants, B. B., Lin, Z., Feng, X., Cullen, N., Mata, J. F., . . . Qing, K. (2019). Convolutional Neural Networks with Template-Based Data Augmentation for Functional Lung Image Quantification. ACADEMIC RADIOLOGY, 26(3), 412-423. doi:10.1016/j.acra.2018.08.003

Fielden, S., Zhao, L., Miller, W., Feng, X., Wintermark, M., Pauly, K. B., & Meyer, C. (2015). Spiral-based 3D MR thermometry. Journal of Therapeutic Ultrasound, 3(S1). doi:10.1186/2050-5736-3-s1-p18

Zhao, L., Fielden, S., Miller, W., Feng, X., Wintermark, M., Pauly, K. B., & Meyer, C. (2015). Accelerated MR thermometry using the Kalman filter. Journal of Therapeutic Ultrasound, 3(S1). doi:10.1186/2050-5736-3-s1-p40