Xue Feng - RankMe

33 papers Journal 23Unranked 10

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Language Vision Model Approach for Automated Tumor Contouring in Radiation Oncology. CoRR Yi Luo, Hamed Hooshangnejad, Xue Feng, Gaofeng Huang, Xiaojian Chen, Rui Zhang, Quan Chen, Wil Ngwa, Kai Ding
2025	J	`jnl`	Morphological changes of the choroid plexus in the lateral ventricle across the lifespan: 5551 subjects from fetus to elderly. NeuroImage Jiaxin Li, Yuxuan Gao, Yunzhi Xu, Weiying Dai, Yueqin Hu, Xue Feng, Dan Wu, Li Zhao
2025	J	`jnl`	Multimodal Slice Interaction Network Enhanced by Transfer Learning for Precise Segmentation of Internal Gross Tumor Volume in Lung Cancer PET/CT Imaging. CoRR Yi Luo, Yike Guo, Hamed Hooshangnejad, Rui Zhang, Xue Feng, Quan Chen, Wil Ngwa, Kai Ding
2025	J	`jnl`	Vision-language model for report generation and outcome prediction in CT pulmonary angiogram. npj Digit. Medicine Zhusi Zhong, Yuli Wang, Jing Wu, Wen-Chi Hsu, Vin Somasundaram, Lulu Bi, Shreyas Kulkarni, Zhuoqi Ma, Scott Collins, Grayson Baird, Sun Ho Ahn, Xue Feng, Ihab Kamel, Cheng Ting Lin, Colin Greineder, Michael Atalay, Zhicheng Jiao, Harrison X. Bai
2024	—	`conf`	A Supervised Segmentation Solution: Diabetic Foot Ulcers Challenge 2024. DFUC@MICCAI Xue Feng, Gaofeng Huang
2024	J	`jnl`	Active Learning in Brain Tumor Segmentation with Uncertainty Sampling and Annotation Redundancy Restriction. J. Imaging Inform. Medicine Daniel D. Kim, Rajat S. Chandra, Li Yang, Jing Wu, Xue Feng, Michael Atalay, Chetan Bettegowda, Craig K. Jones, Haris I. Sair, Wei-hua Liao, Chengzhang Zhu, Beiji Zou, Anahita Fathi Kazerooni, Ali Nabavizadeh, Zhicheng Jiao, Jian Peng, Harrison X. Bai
2024	J	`jnl`	EXACT-Net: EHR-guided lung tumor auto-segmentation for non-small cell lung cancer radiotherapy. CoRR Hamed Hooshangnejad, Xue Feng, Gaofeng Huang, Rui Zhang, Quan Chen, Kai Ding
2023	J	`jnl`	Active Learning in Brain Tumor Segmentation with Uncertainty Sampling, Annotation Redundancy Restriction, and Data Initialization. CoRR Daniel D. Kim, Rajat S. Chandra, Jian Peng, Jing Wu, Xue Feng, Michael Atalay, Chetan Bettegowda, Craig K. Jones, Haris I. Sair, Wei-hua Liao, Chengzhang Zhu, Beiji Zou, Li Yang, Anahita Fathi Kazerooni, Ali Nabavizadeh, Harrison X. Bai, Zhicheng Jiao
2023	J	`jnl`	Brain Tumor Segmentation for Multi-Modal MRI with Missing Information. J. Imaging Inform. Medicine Xue Feng, Kanchan Ghimire, Daniel D. Kim, Rajat S. Chandra, Helen Zhang, Jian Peng, Binghong Han, Gaofeng Huang, Quan Chen, Sohil H. Patel, Chetan Bettagowda, Haris I. Sair, Craig K. Jones, Zhicheng Jiao, Li Yang, Harrison X. Bai
2023	—	`conf`	C STACOM@MICCAI Quan Dou, Kang Yan, Sheng Chen, Zhixing Wang, Xue Feng, Craig H. Meyer
2022	J	`jnl`	An automated COVID-19 triage pipeline using artificial intelligence based on chest radiographs and clinical data. npj Digit. Medicine Chris K. Kim, Ji Whae Choi, Zhicheng Jiao, Dongcui Wang, Jing Wu, Thomas Y. Yi, Kasey C. Halsey, Feyisope Eweje, Thi My Linh Tran, Chang Liu, Robin Wang, John Sollee, Celina Hsieh, Ken Chang, Fang-Xue Yang, Ritambhara Singh, Jie-Lin Ou, Raymond Y. Huang, Cai Feng, Michael D. Feldman, Tao Liu, Ji Sheng Gong, Shaolei Lu, Carsten Eickhoff, Xue Feng, Ihab Kamel, Ronnie Sebro, Michael Atalay, Terrance Healey, Yong Fan, Wei-hua Liao, Jianxin Wang, Harrison X. Bai
2022	J	`jnl`	Deep learning methods for automatic evaluation of delayed enhancement-MRI. The results of the EMIDEC challenge. Medical Image Anal. 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
2022	J	`jnl`	Dynamic prototypical feature representation learning framework for semi-supervised skin lesion segmentation. Neurocomputing Zhenxi Zhang, Chunna Tian, Xinbo Gao, Cui Wang, Xue Feng, Harrison X. Bai, Zhicheng Jiao
2022	J	`jnl`	Head and neck tumor segmentation in PET/CT: The HECKTOR challenge. Medical Image Anal. Valentin Oreiller, Vincent Andrearczyk, Mario Jreige, Sarah Boughdad, Hesham Elhalawani, Joël Castelli, Martin Vallières, Simeng Zhu, Juanying Xie, Ying Peng, Andrei Iantsen, Mathieu Hatt, Yading Yuan, Jun Ma, Xiaoping Yang, Chinmay Rao, Suraj Pai, Kanchan Ghimire, Xue Feng, Mohamed A. Naser, Clifton D. Fuller, Fereshteh Yousefirizi, Arman Rahmim, Huai Chen, Lisheng Wang, John O. Prior, Adrien Depeursinge
2021	—	`conf`	Brain Tumor Segmentation with Patch-Based 3D Attention UNet from Multi-parametric MRI. BrainLes@MICCAI (2) Xue Feng, Harrison X. Bai, Daniel Kim, Georgios Maragkos, Jan Machaj, Ryan Kellogg
2021	J	`jnl`	Comparing methods of detecting and segmenting unruptured intracranial aneurysms on TOF-MRAS: The ADAM challenge. NeuroImage Kimberley M. Timmins, Irene C. van der Schaaf, Edwin Bennink, Ynte M. Ruigrok, Xingle An, Michael Baumgartner, Pascal Bourdon, Riccardo de Feo, Tommaso Di Noto, Florian Dubost, Augusto Fava-Sanches, Xue Feng, Corentin Giroud, Inteneural Group, Minghui Hu, Paul F. Jaeger, Juhana Kaiponen, Michal Klimont, Yuexiang Li, Hongwei Li, Yi Lin, Timo Loehr, Jun Ma, Klaus H. Maier-Hein, Guillaume Marie, Bjoern H. Menze, Jonas Richiardi, Saifeddine Rjiba, Dhaval Shah, Suprosanna Shit, Jussi Tohka, Thierry Urruty, Urszula Walinska, Xiaoping Yang, Yunqiao Yang, Yin Yin, Birgitta K. Velthuis, Hugo J. Kuijf
2021	J	`jnl`	Deep Learning methods for automatic evaluation of delayed enhancement-MRI. The results of the EMIDEC challenge. CoRR 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
2021	J	`jnl`	Lung Nodule Malignancy Prediction in Sequential CT Scans: Summary of ISBI 2018 Challenge. IEEE Trans. Medical Imaging 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
2021	J	`jnl`	Multi-Site Infant Brain Segmentation Algorithms: The iSeg-2019 Challenge. IEEE Trans. Medical Imaging Yue Sun, Kun Gao, Zhengwang Wu, Guannan Li, Xiaopeng Zong, Zhihao Lei, Ying Wei, Jun Ma, Xiaoping Yang, Xue Feng, Li Zhao, Trung Le Phan, Jitae Shin, Tao Zhong, Yu Zhang, Lequan Yu, Caizi Li, Ramesh Basnet, M. Omair Ahmad, M. N. S. Swamy, Wenao Ma, Qi Dou, Toan Duc Bui, Camilo Bermudez Noguera, Bennett A. Landman, Ian H. Gotlib, Kathryn L. Humphreys, Sarah Shultz, Longchuan Li, Sijie Niu, Weili Lin, Valerie Jewells, Dinggang Shen, Gang Li, Li Wang
2021	J	`jnl`	QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Metrics and Benchmarking Results. CoRR 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
2020	—	`conf`	Automatic Scar Segmentation from DE-MRI Using 2D Dilated UNet with Rotation-Based Augmentation. M&Ms and EMIDEC/STACOM@MICCAI Xue Feng, Christopher M. Kramer, Michael Salerno, Craig H. Meyer
2020	J	`jnl`	Brain Tumor Segmentation Using an Ensemble of 3D U-Nets and Overall Survival Prediction Using Radiomic Features. Frontiers Comput. Neurosci. Xue Feng, Nicholas J. Tustison, Sohil H. Patel, Craig H. Meyer
2020	—	`conf`	Choroid Plexus Segmentation Using Optimized 3D U-Net. ISBI Li Zhao, Xue Feng, Craig H. Meyer, David C. Alsop
2020	J	`jnl`	Multi-Site Infant Brain Segmentation Algorithms: The iSeg-2019 Challenge. CoRR Yue Sun, Kun Gao, Zhengwang Wu, Zhihao Lei, Ying Wei, Jun Ma, Xiaoping Yang, Xue Feng, Li Zhao, Trung Le Phan, Jitae Shin, Tao Zhong, Yu Zhang, Lequan Yu, Caizi Li, Ramesh Basnet, M. Omair Ahmad, M. N. S. Swamy, Wenao Ma, Qi Dou, Toan Duc Bui, Camilo Bermudez Noguera, Bennett A. Landman, Ian H. Gotlib, Kathryn L. Humphreys, Sarah Shultz, Longchuan Li, Sijie Niu, Weili Lin, Valerie Jewells, Gang Li, Dinggang Shen, Li Wang
2020	—	`conf`	Patch-Based 3D UNet for Head and Neck Tumor Segmentation with an Ensemble of Conventional and Dilated Convolutions. HECKTOR@MICCAI Kanchan Ghimire, Quan Chen, Xue Feng
2019	—	`conf`	A Self-Adaptive Network for Multiple Sclerosis Lesion Segmentation From Multi-Contrast MRI With Various Imaging Sequences. ISBI Yushan Feng, Huitong Pan, Craig H. Meyer, Xue Feng
2019	—	`conf`	Brain Tumor Segmentation with Uncertainty Estimation and Overall Survival Prediction. BrainLes@MICCAI (1) Xue Feng, Quan Dou, Nicholas J. Tustison, Craig H. Meyer
2019	—	`conf`	Prostate Segmentation From 3D Mri Using A Two-Stage Model and Variable-Input Based Uncertainty Measure. ISBI Huitong Pan, Yushan Feng, Quan Chen, Craig H. Meyer, Xue Feng
2019	J	`jnl`	Prostate Segmentation from 3D MRI Using a Two-Stage Model and Variable-Input Based Uncertainty Measure. CoRR Huitong Pan, Yushan Feng, Quan Chen, Craig H. Meyer, Xue Feng
2018	J	`jnl`	A Self-Adaptive Network For Multiple Sclerosis Lesion Segmentation From Multi-Contrast MRI With Various Imaging Protocols. CoRR Yushan Feng, Huitong Pan, Craig H. Meyer, Xue Feng
2018	—	`conf`	Brain Tumor Segmentation Using an Ensemble of 3D U-Nets and Overall Survival Prediction Using Radiomic Features. BrainLes@MICCAI (2) Xue Feng, Nicholas J. Tustison, Craig H. Meyer
2018	J	`jnl`	Brain Tumor Segmentation using an Ensemble of 3D U-Nets and Overall Survival Prediction using Radiomic Features. CoRR Xue Feng, Nicholas J. Tustison, Craig H. Meyer
2015	J	`jnl`	Rapid 3D dynamic arterial spin labeling with a sparse model-based image reconstruction. NeuroImage Li Zhao, Samuel W. Fielden, Xue Feng, Max Wintermark, John P. Mugler III, Craig H. Meyer