Feng Yang - RankMe

48 papers Journal 27Unranked 20

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Semantically redundant training data removal and deep model classification performance: A study with chest X-rays. Comput. Medical Imaging Graph. Sivaramakrishnan Rajaraman, Ghada Zamzmi, Feng Yang, Zhaohui Liang, Zhiyun Xue, Sameer K. Antani
2023	—	`conf`	A Comparative Study of Fairness in Medical Machine Learning. ISBI Tochi Oguguo, Ghada Zamzmi, Sivaramakrishnan Rajaraman, Feng Yang, Zhiyun Xue, Sameer K. Antani
2023	J	`jnl`	Assessing Inter-Annotator Agreement for Medical Image Segmentation. IEEE Access Feng Yang, Ghada Zamzmi, Sandeep Angara, Sivaramakrishnan Rajaraman, André Aquilina, Zhiyun Xue, Stefan Jäger, Emmanouil Papagiannakis, Sameer K. Antani
2023	—	`conf`	Automatic Quantification of COVID-19 Pulmonary Edema by Self-supervised Contrastive Learning. MILLanD@MICCAI Zhaohui Liang, Zhiyun Xue, Sivaramakrishnan Rajaraman, Feng Yang, Sameer K. Antani
2023	J	`jnl`	Can deep adult lung segmentation models generalize to the pediatric population? Expert Syst. Appl. Sivaramakrishnan Rajaraman, Feng Yang, Ghada Zamzmi, Zhiyun Xue, Sameer K. Antani
2023	J	`jnl`	Combining Radiological and Genomic TB Portals Data for Drug Resistance Analysis. IEEE Access Vy C. B. Bui, Ziv Yaniv, Michael Harris, Feng Yang, Karthik Kantipudi, Darrell E. Hurt, Alex Rosenthal, Stefan Jäger
2023	J	`jnl`	Does image resolution impact chest X-ray based fine-grained Tuberculosis-consistent lesion segmentation? CoRR Sivaramakrishnan Rajaraman, Feng Yang, Ghada Zamzmi, Zhiyun Xue, Sameer K. Antani
2023	—	`ed.`	Medical Image Learning with Limited and Noisy Data - Second International Workshop, MILLanD 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings MILLanD@MICCAI Zhiyun Xue, Sameer K. Antani, Ghada Zamzmi, Feng Yang, Sivaramakrishnan Rajaraman, Sharon Xiaolei Huang, Marius George Linguraru, Zhaohui Liang
2023	J	`jnl`	Semantically Redundant Training Data Removal and Deep Model Classification Performance: A Study with Chest X-rays. CoRR Sivaramakrishnan Rajaraman, Ghada Zamzmi, Feng Yang, Zhaohui Liang, Zhiyun Xue, Sameer K. Antani
2023	J	`jnl`	Uncovering the effects of model initialization on deep model generalization: A study with adult and pediatric Chest X-ray images. CoRR Sivaramakrishnan Rajaraman, Ghada Zamzmi, Feng Yang, Zhaohui Liang, Zhiyun Xue, Sameer K. Antani
2022	J	`jnl`	Annotations of Lung Abnormalities in the Shenzhen Chest X-ray Dataset for Computer-Aided Screening of Pulmonary Diseases. Data Feng Yang, Pu Xuan Lu, Min Deng, Yi-Xiang J. Wang, Sivaramakrishnan Rajaraman, Zhiyun Xue, Les R. Folio, Sameer K. Antani, Stefan Jäger
2022	J	`jnl`	Connecting macroscopic diffusion metrics of cardiac diffusion tensor imaging and microscopic myocardial structures based on simulation. Medical Image Anal. Li-Hui Wang, Yao Hong, Yongbin Qin, Xinyu Cheng, Feng Yang, Jie Yang, Yue-Min Zhu
2022	—	`conf`	Data Characterization for Reliable AI in Medicine. RTIP2R Sivaramakrishnan Rajaraman, Ghada Zamzmi, Feng Yang, Zhiyun Xue, Sameer K. Antani
2022	J	`jnl`	Deep ensemble learning for segmenting tuberculosis-consistent manifestations in chest radiographs. CoRR Sivaramakrishnan Rajaraman, Feng Yang, Ghada Zamzmi, Peng Guo, Zhiyun Xue, Sameer K. Antani
2022	J	`jnl`	Generalizability of Deep Adult Lung Segmentation Models to the Pediatric Population: A Retrospective Study. CoRR Sivaramakrishnan Rajaraman, Feng Yang, Ghada Zamzmi, Zhiyun Xue, Sameer K. Antani
2021	—	`conf`	Automated Drug-Resistant TB Screening: Importance of Demographic Features and Radiological Findings in Chest X-Ray. AIPR Feng Yang, Hang Yu, Karthik Kantipudi, Alex Rosenthal, Darrell E. Hurt, Ziv Yaniv, Stefan Jaeger
2021	J	`jnl`	Clustering-Based Dual Deep Learning Architecture for Detecting Red Blood Cells in Malaria Diagnostic Smears. IEEE J. Biomed. Health Informatics Yasmin M. Kassim, Kannappan Palaniappan, Feng Yang, Mahdieh Poostchi, Nila Palaniappan, Richard James Maude, Sameer K. Antani, Stefan Jäger
2021	—	`conf`	Deep Learning-Based Cell Detection and Extraction in Thin Blood Smears for Malaria Diagnosis. AIPR Deniz Kavzak Ufuktepe, Feng Yang, Yasmin M. Kassim, Hang Yu, Richard James Maude, Kannappan Palaniappan, Stefan Jaeger
2021	—	`conf`	Identifying Drug-Resistant Tuberculosis in Chest Radiographs: Evaluation of CNN Architectures and Training Strategies. EMBC Manohar Karki, Karthik Kantipudi, Hang Yu, Feng Yang, Yasmin M. Kassim, Ziv Yaniv, Stefan Jäger
2021	J	`jnl`	Improved Image Reconstruction Using Multi-Energy Information in Spectral Photon-Counting CT. IEEE Access Pei Niu, Lihuiwang, Bingqing Xie, Marc C. Robini, Loïc Boussel, Phillippe Douek, Yuemin Zhu, Feng Yang
2021	J	`jnl`	Super-Energy-Resolution Material Decomposition for Spectral Photon-Counting CT Using Pixel-Wise Learning. IEEE Access Bingqing Xie, Yuemin Zhu, Pei Niu, Ting Su, Feng Yang, Lihui Wang, Pierre-Antoine Rodesch, Loïc Boussel, Philippe Douek, Philippe Duvauchelle
2021	—	`conf`	Systematic Study of Joint Influence of Angular Resolution and Noise in Cardiac Diffusion Tensor Imaging. FIMH Yunlong He, Lihui Wang, Feng Yang, Yong Xia, Patrick Clarysse, Yuemin Zhu
2020	J	`jnl`	A stochastic approach to full inverse treatment planning for charged-particle therapy. J. Glob. Optim. Marc C. Robini, Feng Yang, Yuemin Zhu
2020	—	`conf`	Cascading YOLO: automated malaria parasite detection for Plasmodium vivax in thin blood smears. Computer-Aided Diagnosis Feng Yang, Nicolas Quizon, Hang Yu, Kamolrat Silamut, Richard James Maude, Stefan Jaeger, Sameer K. Antani
2020	J	`jnl`	Deep Learning for Smartphone-Based Malaria Parasite Detection in Thick Blood Smears. IEEE J. Biomed. Health Informatics Feng Yang, Mahdieh Poostchi, Hang Yu, Zhou Zhou, Kamolrat Silamut, Jian Yu, Richard James Maude, Stefan Jäger, Sameer K. Antani
2019	J	`jnl`	Adaptive information sharing approach for crowd networks based on two stage optimization. Int. J. Crowd Sci. Xiaoni Wang, Zhiwen Pan, Zhouxia Li, Wen Ji, Feng Yang
2019	J	`jnl`	CNN-Based Invertible Wavelet Scattering for the Investigation of Diffusion Properties of the In Vivo Human Heart in Diffusion Tensor Imaging. CoRR Zeyu Deng, Lihui Wang, Zi-Xiang Kuai, Qijian Chen, Xinyu Cheng, Feng Yang, Jie Yang, Yuemin Zhu
2019	J	`jnl`	Intelligence level analysis for crowd networks based on business entropy. Int. J. Crowd Sci. Zhouxia Li, Zhiwen Pan, Xiaoni Wang, Wen Ji, Feng Yang
2019	—	`conf`	Intelligent Network Application in Computer-aided Diagnosis. ICCSE Tiantian Miao, Yuhong Shen, Lihui Wang, Wen Ji, Yuemin Zhu, Feng Yang
2019	—	`conf`	Optimizing Information Sharing in Crowd Networks based on Reinforcement Learning. ICCSE Xiaoni Wang, Zhiwen Pan, Zhouxia Li, Yifan Du, Yuanlin Zhu, Wen Ji, Feng Yang
2019	—	`conf`	Parasite Detection in Thick Blood Smears Based on Customized Faster-RCNN on Smartphones. AIPR Feng Yang, Hang Yu, Kamolrat Silamut, Richard James Maude, Stefan Jäger, Sameer K. Antani
2019	—	`conf`	Smartphone-Supported Malaria Diagnosis Based on Deep Learning. MLMI@MICCAI Feng Yang, Hang Yu, Kamolrat Silamut, Richard James Maude, Stefan Jaeger, Sameer K. Antani
2019	J	`jnl`	Structure Prior Constrained Estimation of Human Cardiac Diffusion Tensors. IEEE Trans. Biomed. Eng. Chun-Yu Chu, Chang-Yu Sun, Zi-Xiang Kuai, Feng Yang, Yue-Min Zhu
2018	—	`conf`	Automatic Segmentation of Left Myocardium in CMR Based on Fully Convolutional Networks. ICCSE Yifan Du, Yuanlin Zhu, Shengjie Wu, Lihui Wang, Yuemin Zhu, Feng Yang
2018	J	`jnl`	Detecting drug-resistant tuberculosis in chest radiographs. Int. J. Comput. Assist. Radiol. Surg. Stefan Jäger, Octavio H. Juarez-Espinosa, Sema Candemir, Mahdieh Poostchi, Feng Yang, Lewis Kim, Meng Ding, Les R. Folio, Sameer K. Antani, Andrei E. Gabrielian, Darrell E. Hurt, Alex Rosenthal, George R. Thoma
2018	J	`jnl`	Inexact Half-Quadratic Optimization for Linear Inverse Problems. SIAM J. Imaging Sci. Marc C. Robini, Feng Yang, Yuemin Zhu
2017	—	`conf`	A Region Histogram of Oriented Optical Flow (RHOOF) feature for apex frame spotting in micro-expression. ISPACS Haoyuan Ma, Gaoyun An, Shengjie Wu, Feng Yang
2017	—	`conf`	An automatic segmentation method of left myocardium based on SSD model and CNN. ISPACS Shengjie Wu, Feng Yang, Haoyuan Ma, Gaoyun An
2017	J	`jnl`	Global Diffusion Tractography by Simulated Annealing. IEEE Trans. Biomed. Eng. Marc C. Robini, Matthew Ozon, Carole Frindel, Feng Yang, Yue Min Zhu
2016	—	`conf`	Diffusion MRI simulation for human brain based on the atlas. ISBI Hong-bo Du, Lihui Wang, Wanyu Liu, Feng Yang, Zhi Li, Yue-Min Zhu
2015	J	`jnl`	Cardiac Fiber Unfolding by Semidefinite Programming. IEEE Trans. Biomed. Eng. Hongying Li, Marc C. Robini, Feng Yang, Isabelle E. Magnin, Yue Min Zhu
2015	J	`jnl`	Free-Breathing Diffusion Tensor Imaging and Tractography of the Human Heart in Healthy Volunteers Using Wavelet-Based Image Fusion. IEEE Trans. Medical Imaging Hongjiang Wei, Magalie Viallon, Bénédicte M. A. Delattre, Kevin Moulin, Feng Yang, Pierre Croisille, Yue Min Zhu
2014	J	`jnl`	A Comparative Study of Different Level Interpolations for Improving Spatial Resolution in Diffusion Tensor Imaging. IEEE J. Biomed. Health Informatics Feng Yang, Yue-Min Zhu, Jianhua Luo, Marc C. Robini, Jie Liu, Pierre Croisille
2014	—	`conf`	Simulation of dynamic DTI of 3D cardiac fiber structures. ISBI Lihui Wang, Yue-Min Zhu, Feng Yang, Wanyu Liu, Isabelle E. Magnin
2012	—	`conf`	A neighborhood-based probabilistic approach for fiber tracking in human cardiac DTI. ISBI Hongying Li, Marc C. Robini, Feng Yang, Yuemin Zhu
2012	J	`jnl`	Feature-based interpolation of diffusion tensor fields and application to human cardiac DT-MRI. Medical Image Anal. Feng Yang, Yue-Min Zhu, Isabelle E. Magnin, Jianhua Luo, Pierre Croisille, Peter B. Kingsley
2012	—	`conf`	Registration of cardiac diffusion tensor images using B-spline free-form deformation. BMEI Tao Wu, Ling Xia, Feng Yang
2009	—	`conf`	Noise-Reduced TPS Interpolation of Primary Vector Fields for Fiber Tracking in Human Cardiac DT-MRI. FIMH Feng Yang, Xin Song, Stanislas Rapacchi, Laurent Fanton, Pierre Croisille, Yue-Min Zhu