Xue Feng

According to our database, Xue Feng authored at least 17 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

EXACT-Net: EHR-guided lung tumor auto-segmentation for non-small cell lung cancer radiotherapy.

Hamed Hooshangnejad, Xue Feng, Gaofeng Huang, Rui Zhang, Quan Chen, Kai Ding

CoRR, 2024

2023

C³-Net: Complex-Valued Cascading Cross-Domain Convolutional Neural Network for Reconstructing Undersampled CMR Images.

Quan Dou, Kang Yan, Sheng Chen, Zhixing Wang, Xue Feng, Craig H. Meyer

Proceedings of the Statistical Atlases and Computational Models of the Heart. Regular and CMRxRecon Challenge Papers, 2023

2022

Deep learning methods for automatic evaluation of delayed enhancement-MRI. The results of the EMIDEC challenge.

Alain Lalande, Zhihao Chen, Thibaut Pommier, Thomas Decourselle, Abdul Qayyum, Michel Salomon, Dominique Ginhac, Youssef Skandarani, Arnaud Boucher, Khawla Brahim, Marleen de Bruijne, Robin Camarasa, Teresa M. Correia, Xue Feng, Kibrom Berihu Girum, Anja Hennemuth, Markus Hüllebrand, Raabid Hussain, Matthias Ivantsits, Jun Ma, Craig H. Meyer, Rishabh Sharma, Jixi Shi, Nikolaos V. Tsekos, Marta Varela, Xiyue Wang, Sen Yang, Hannu Zhang, Yichi Zhang, Yuncheng Zhou, Xiahai Zhuang, Raphaël Couturier, Fabrice Mériaudeau

Medical Image Anal., 2022

2021

Lung Nodule Malignancy Prediction in Sequential CT Scans: Summary of ISBI 2018 Challenge.

Yoganand Balagurunathan, Andrew Beers, Michael F. McNitt-Gray, Lubomir M. Hadjiiski, Sandy Napel, Dmitry B. Goldgof, Gustavo Pérez, Pablo Arbeláez, Alireza Mehrtash, Tina Kapur, Ehwa Yang, Jung Won Moon, Gabriel Bernardino Perez, Ricard Delgado-Gonzalo, Mohammad Mehdi Farhangi, Amir A. Amini, Renkun Ni, Xue Feng, Aditya Bagari, Kiran Vaidhya, Benjamin Veasey, Wiem Safta, Hichem Frigui, Joseph Enguehard, Ali Gholipour, Laura Silvana Castillo, Laura Alexandra Daza, Paul F. Pinsky, Jayashree Kalpathy-Cramer, Keyvan Farahani

IEEE Trans. Medical Imaging, 2021

QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Metrics and Benchmarking Results.

Raghav Mehta, Angelos Filos, Ujjwal Baid, Chiharu Sako, Richard McKinley, Michael Rebsamen, Katrin Dätwyler, Raphael Meier, Piotr Radojewski, Gowtham Krishnan Murugesan, Sahil S. Nalawade, Chandan Ganesh, Benjamin C. Wagner, Fang F. Yu, Baowei Fei, Ananth J. Madhuranthakam, Joseph A. Maldjian, Laura Alexandra Daza, Catalina Gómez Caballero, Pablo Arbeláez, Chengliang Dai, Shuo Wang, Hadrien Raynaud, Yuanhan Mo, Elsa D. Angelini, Yike Guo, Wenjia Bai, Subhashis Banerjee, Linmin Pei, Murat Ak, Sarahi Rosas-González, Ilyess Zemmoura, Clovis Tauber, Minh H. Vu, Tufve Nyholm, Tommy Löfstedt, Laura Mora Ballestar, Verónica Vilaplana, Hugh McHugh, Gonzalo D. Maso Talou, Alan Wang, Jay B. Patel, Ken Chang, Katharina Hoebel, Mishka Gidwani, Nishanth Thumbavanam Arun, Sharut Gupta, Mehak Aggarwal, Praveer Singh, Elizabeth R. Gerstner, Jayashree Kalpathy-Cramer, Nicolas Boutry, Alexis Huard, Lasitha Vidyaratne, Md Monibor Rahman, Khan M. Iftekharuddin, Joseph Chazalon, Élodie Puybareau, Guillaume Tochon, Jun Ma, Mariano Cabezas, Xavier Lladó, Arnau Oliver, Liliana Valencia, Sergi Valverde, Mehdi Amian, Mohammadreza Soltaninejad, Andriy Myronenko, Ali Hatamizadeh, Xue Feng, Quan Dou, Nicholas J. Tustison, Craig H. Meyer, Nisarg A. Shah, Sanjay N. Talbar, Marc-André Weber, Abhishek Mahajan, András Jakab, Roland Wiest, Hassan M. Fathallah-Shaykh, Arash Nazeri, Mikhail Milchenko, Daniel S. Marcus, Aikaterini Kotrotsou, Rivka Colen, John B. Freymann, Justin S. Kirby, Christos Davatzikos, Bjoern H. Menze, Spyridon Bakas, Yarin Gal, Tal Arbel

CoRR, 2021

Deep Learning methods for automatic evaluation of delayed enhancement-MRI. The results of the EMIDEC challenge.

Alain Lalande, Zhihao Chen, Thibaut Pommier, Thomas Decourselle, Abdul Qayyum, Michel Salomon, Dominique Ginhac, Youssef Skandarani, Arnaud Boucher, Khawla Brahim, Marleen de Bruijne, Robin Camarasa, Teresa M. Correia, Xue Feng, Kibrom Berihu Girum, Anja Hennemuth, Markus Hüllebrand, Raabid Hussain, Matthias Ivantsits, Jun Ma, Craig H. Meyer, Rishabh Sharma, Jixi Shi, Nikolaos V. Tsekos, Marta Varela, Xiyue Wang, Sen Yang, Hannu Zhang, Yichi Zhang, Yuncheng Zhou, Xiahai Zhuang, Raphaël Couturier, Fabrice Mériaudeau

CoRR, 2021

Brain Tumor Segmentation with Patch-Based 3D Attention UNet from Multi-parametric MRI.

Xue Feng, Harrison Bai, Daniel Kim, Georgios Maragkos, Jan Machaj, Ryan Kellogg

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2021

2020

Brain Tumor Segmentation Using an Ensemble of 3D U-Nets and Overall Survival Prediction Using Radiomic Features.

Xue Feng, Nicholas J. Tustison, Sohil H. Patel, Craig H. Meyer

Frontiers Comput. Neurosci., 2020

Patch-Based 3D UNet for Head and Neck Tumor Segmentation with an Ensemble of Conventional and Dilated Convolutions.

Kanchan Ghimire, Quan Chen, Xue Feng

Proceedings of the Head and Neck Tumor Segmentation - First Challenge, 2020

Automatic Scar Segmentation from DE-MRI Using 2D Dilated UNet with Rotation-Based Augmentation.

Xue Feng, Christopher M. Kramer, Michael Salerno, Craig H. Meyer

Proceedings of the Statistical Atlases and Computational Models of the Heart. M&Ms and EMIDEC Challenges, 2020

Choroid Plexus Segmentation Using Optimized 3D U-Net.

Li Zhao, Xue Feng, Craig H. Meyer, David C. Alsop

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2019

Prostate Segmentation From 3D Mri Using A Two-Stage Model and Variable-Input Based Uncertainty Measure.

Huitong Pan, Yushan Feng, Quan Chen, Craig H. Meyer, Xue Feng

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

A Self-Adaptive Network for Multiple Sclerosis Lesion Segmentation From Multi-Contrast MRI With Various Imaging Sequences.

Yushan Feng, Huitong Pan, Craig H. Meyer, Xue Feng

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Brain Tumor Segmentation with Uncertainty Estimation and Overall Survival Prediction.

Xue Feng, Quan Dou, Nicholas J. Tustison, Craig H. Meyer

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2019

2018

A Self-Adaptive Network For Multiple Sclerosis Lesion Segmentation From Multi-Contrast MRI With Various Imaging Protocols.

Yushan Feng, Huitong Pan, Craig H. Meyer, Xue Feng

CoRR, 2018

Brain Tumor Segmentation Using an Ensemble of 3D U-Nets and Overall Survival Prediction Using Radiomic Features.

Xue Feng, Nicholas J. Tustison, Craig H. Meyer

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2018

2015

Rapid 3D dynamic arterial spin labeling with a sparse model-based image reconstruction.

Li Zhao, Samuel W. Fielden, Xue Feng, Max Wintermark, John P. Mugler III, Craig H. Meyer

NeuroImage, 2015