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ORCIDLing Zhang 0002
Person information
- affiliation: Nvidia Corporation, Bethesda, MD, USA
- affiliation: National Institutes of Health Clinical Center, Radiology and Imaging Sciences Department, Bethesda, MD, USA
Other persons with the same name
- Ling Zhang — disambiguation page
- Ling Zhang 0001 — Anhui University, Department of Computer Science, China (and 1 more)
- Ling Zhang 0003
![[0000-0002-1679-7128]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-1679-7128")
— Ocean University of China, College of Engineering, Qingdao, China - Ling Zhang 0004 — Guangdong University of Technology, Faculty of Computer Science and Technology, Guangzhou, China
- Ling Zhang 0005 — South China University of Technology, School of Computer Science and Engineering, Guangzhou, China
- Ling Zhang 0006 — Jilin University, College of Geo-Exploration Science and Technology / Key Laboratory of Applied Geophysics, Changchun, China
- Ling Zhang 0007 — Pennsylvania State University, Department of Statistics, University Park, PA, USA
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Journal Articles
- 2021
[j11]Jiawen Yao, Yu Shi, Kai Cao, Le Lu, Jianping Lu, Qike Song, Gang Jin, Jing Xiao, Yang Hou, Ling Zhang:
DeepPrognosis: Preoperative prediction of pancreatic cancer survival and surgical margin via comprehensive understanding of dynamic contrast-enhanced CT imaging and tumor-vascular contact parsing. Medical Image Anal. 73: 102150 (2021)- 2020
- [j10]Ling Zhang, Le Lu, Xiaosong Wang, Robert Zhu, Mohammadhadi Bagheri, Ronald M. Summers, Jianhua Yao:
Spatio-Temporal Convolutional LSTMs for Tumor Growth Prediction by Learning 4D Longitudinal Patient Data. IEEE Trans. Medical Imaging 39(4): 1114-1126 (2020) - [j9]Ling Zhang, Xiaosong Wang, Dong Yang, Thomas Sanford, Stephanie A. Harmon, Baris Turkbey, Bradford J. Wood, Holger Roth, Andriy Myronenko, Daguang Xu, Ziyue Xu:
Generalizing Deep Learning for Medical Image Segmentation to Unseen Domains via Deep Stacked Transformation. IEEE Trans. Medical Imaging 39(7): 2531-2540 (2020) - 2019
- [j8]Haoming Lin, Yuyang Hu, Siping Chen, Jianhua Yao, Ling Zhang:
Fine-Grained Classification of Cervical Cells Using Morphological and Appearance Based Convolutional Neural Networks. IEEE Access 7: 71541-71549 (2019) - 2018
- [j7]Ling Zhang, Andreas Wahle, Zhi Chen, John J. Lopez, Tomas Kovarnik, Milan Sonka:
Predicting Locations of High-Risk Plaques in Coronary Arteries in Patients Receiving Statin Therapy. IEEE Trans. Medical Imaging 37(1): 151-161 (2018) - [j6]Ling Zhang, Le Lu, Ronald M. Summers, Electron Kebebew, Jianhua Yao:
Convolutional Invasion and Expansion Networks for Tumor Growth Prediction. IEEE Trans. Medical Imaging 37(2): 638-648 (2018) - 2017
- [j5]Ling Zhang, Hui Kong, Shaoxiong Liu, Tianfu Wang, Siping Chen, Milan Sonka:
Graph-based segmentation of abnormal nuclei in cervical cytology. Comput. Medical Imaging Graph. 56: 38-48 (2017) - [j4]Ling Zhang, Le Lu, Isabella Nogues, Ronald M. Summers, Shaoxiong Liu, Jianhua Yao:
DeepPap: Deep Convolutional Networks for Cervical Cell Classification. IEEE J. Biomed. Health Informatics 21(6): 1633-1643 (2017) - 2015
- [j3]Youyi Song, Ling Zhang, Siping Chen, Dong Ni, Bai Ying Lei, Tianfu Wang:
Accurate Segmentation of Cervical Cytoplasm and Nuclei Based on Multiscale Convolutional Network and Graph Partitioning. IEEE Trans. Biomed. Eng. 62(10): 2421-2433 (2015) - [j2]Ling Zhang, Andreas Wahle, Zhi Chen, Li Zhang, Richard W. Downe, Tomas Kovarnik, Milan Sonka:
Simultaneous Registration of Location and Orientation in Intravascular Ultrasound Pullbacks Pairs Via 3D Graph-Based Optimization. IEEE Trans. Medical Imaging 34(12): 2550-2561 (2015) - 2014
- [j1]Ling Zhang, Hui Kong, Chien Ting Chin, Shaoxiong Liu, Zhi Chen, Tianfu Wang, Siping Chen:
Segmentation of cytoplasm and nuclei of abnormal cells in cervical cytology using global and local graph cuts. Comput. Medical Imaging Graph. 38(5): 369-380 (2014)
Conference and Workshop Papers
- 2023
- [c30]Mingze Yuan, Yingda Xia, Hexin Dong, Zifan Chen, Jiawen Yao, Mingyan Qiu, Ke Yan, Xiaoli Yin, Yu Shi, Xin Chen, Zaiyi Liu, Bin Dong, Jingren Zhou, Le Lu, Ling Zhang, Li Zhang:
Devil is in the Queries: Advancing Mask Transformers for Real-world Medical Image Segmentation and Out-of-Distribution Localization. CVPR 2023: 23879-23889 - [c29]Bo Zhou, Yingda Xia, Jiawen Yao, Le Lu, Jingren Zhou, Chi Liu, James S. Duncan, Ling Zhang:
Meta-information-Aware Dual-path Transformer for Differential Diagnosis of Multi-type Pancreatic Lesions in Multi-phase CT. IPMI 2023: 119-131 - [c28]Lin Zhao, Hexin Dong, Ping Wu, Jiaying Lu, Le Lu, Jingren Zhou, Tianming Liu, Li Zhang, Ling Zhang, Yuxing Tang, Chuantao Zuo:
MetaViT: Metabolism-Aware Vision Transformer for Differential Diagnosis of Parkinsonism with 18F-FDG PET. IPMI 2023: 132-144 - [c27]Quan Liu, Jiawen Yao, Lisha Yao, Xin Chen, Jingren Zhou, Le Lu, Ling Zhang, Zaiyi Liu, Yuankai Huo:
M2Fusion: Bayesian-Based Multimodal Multi-level Fusion on Colorectal Cancer Microsatellite Instability Prediction. MTSAIL/LEAF/AI4Treat/MMMI/REMIA@MICCAI 2023: 125-134 - [c26]Mingze Yuan, Yingda Xia, Xin Chen, Jiawen Yao, Junli Wang, Mingyan Qiu, Hexin Dong, Jingren Zhou, Bin Dong, Le Lu, Li Zhang, Zaiyi Liu, Ling Zhang:
Cluster-Induced Mask Transformers for Effective Opportunistic Gastric Cancer Screening on Non-contrast CT Scans. MICCAI (5) 2023: 146-156 - [c25]Jianpeng Zhang, Xianghua Ye, Jianfeng Zhang, Yuxing Tang, Minfeng Xu, Jianfei Guo, Xin Chen, Zaiyi Liu, Jingren Zhou, Le Lu, Ling Zhang:
Parse and Recall: Towards Accurate Lung Nodule Malignancy Prediction Like Radiologists. MICCAI (5) 2023: 199-209 - 2022
- [c24]Jiawen Yao, Xianghua Ye, Yingda Xia, Jian Zhou, Yu Shi, Ke Yan, Fang Wang, Lili Lin, Haogang Yu, Xian-Sheng Hua, Le Lu, Dakai Jin, Ling Zhang:
Effective Opportunistic Esophageal Cancer Screening Using Noncontrast CT Imaging. MICCAI (3) 2022: 344-354 - [c23]Lisha Yao, Yingda Xia, Haochen Zhang, Jiawen Yao, Dakai Jin, Bingjiang Qiu, Yuan Zhang, Suyun Li, Yanting Liang, Xian-Sheng Hua, Le Lu, Xin Chen, Zaiyi Liu, Ling Zhang:
DeepCRC: Colorectum and Colorectal Cancer Segmentation in CT Scans via Deep Colorectal Coordinate Transform. MICCAI (3) 2022: 564-573 - 2021
- [c22]Tianyi Zhao, Kai Cao, Jiawen Yao, Isabella Nogues, Le Lu, Lingyun Huang, Jing Xiao, Zhaozheng Yin, Ling Zhang:
3D Graph Anatomy Geometry-Integrated Network for Pancreatic Mass Segmentation, Diagnosis, and Quantitative Patient Management. CVPR 2021: 13743-13752 - [c21]Yingda Xia, Jiawen Yao, Le Lu, Lingyun Huang, Guotong Xie, Jing Xiao, Alan L. Yuille, Kai Cao, Ling Zhang:
Effective Pancreatic Cancer Screening on Non-contrast CT Scans via Anatomy-Aware Transformers. MICCAI (5) 2021: 259-269 - 2020
- [c20]Jiawen Yao, Yu Shi, Le Lu, Jing Xiao, Ling Zhang:
DeepPrognosis: Preoperative Prediction of Pancreatic Cancer Survival and Surgical Margin via Contrast-Enhanced CT Imaging. MICCAI (2) 2020: 272-282 - [c19]Ling Zhang, Yu Shi, Jiawen Yao, Yun Bian, Kai Cao, Dakai Jin, Jing Xiao, Le Lu:
Robust Pancreatic Ductal Adenocarcinoma Segmentation with Multi-institutional Multi-phase Partially-Annotated CT Scans. MICCAI (4) 2020: 491-500 - [c18]Ziyue Xu, Xiaosong Wang, Hoo-Chang Shin, Dong Yang, Holger Roth, Fausto Milletari, Ling Zhang, Daguang Xu:
Correlation via Synthesis: End-to-end Image Generation and Radiogenomic Learning Based on Generative Adversarial Network. MIDL 2020: 857-866 - 2019
- [c17]Dong Yang, Holger Roth, Ziyue Xu, Fausto Milletari, Ling Zhang, Daguang Xu:
Searching Learning Strategy with Reinforcement Learning for 3D Medical Image Segmentation. MICCAI (2) 2019: 3-11 - [c16]Xiaosong Wang, Ling Zhang, Holger Roth, Daguang Xu, Ziyue Xu:
Interactive 3D Segmentation Editing and Refinement via Gated Graph Neural Networks. GLMI@MICCAI 2019: 9-17 - [c15]Holger Roth, Ling Zhang, Dong Yang, Fausto Milletari, Ziyue Xu, Xiaosong Wang, Daguang Xu:
Weakly Supervised Segmentation from Extreme Points. LABELS/HAL-MICCAI/CuRIOUS@MICCAI 2019: 42-50 - [c14]Ziyue Xu, Xiaosong Wang, Hoo-Chang Shin, Holger Roth, Dong Yang, Fausto Milletari, Ling Zhang, Daguang Xu:
Tunable CT Lung Nodule Synthesis Conditioned on Background Image and Semantic Features. SASHIMI@MICCAI 2019: 62-70 - 2018
- [c13]Ke Yan, Xiaosong Wang, Le Lu, Ling Zhang, Adam P. Harrison, Mohammadhadi Bagheri, Ronald M. Summers:
Deep Lesion Graphs in the Wild: Relationship Learning and Organization of Significant Radiology Image Findings in a Diverse Large-Scale Lesion Database. CVPR 2018: 9261-9270 - [c12]Ling Zhang, Vissagan Gopalakrishnan, Le Lu, Ronald M. Summers, Joel Moss, Jianhua Yao:
Self-learning to detect and segment cysts in lung CT images without manual annotation. ISBI 2018: 1100-1103 - [c11]Zhihui Quo, Ling Zhang, Le Lu, Mohammadhadi Bagheri, Ronald M. Summers, Milan Sonka, Jianhua Yao:
Deep LOGISMOS: Deep learning graph-based 3D segmentation of pancreatic tumors on CT scans. ISBI 2018: 1230-1233 - 2017
- [c10]Ling Zhang, Milan Sonka, Le Lu, Ronald M. Summers, Jianhua Yao:
Combining fully convolutional networks and graph-based approach for automated segmentation of cervical cell nuclei. ISBI 2017: 406-409 - [c9]Ling Zhang, Le Lu, Ronald M. Summers, Electron Kebebew, Jianhua Yao:
Personalized Pancreatic Tumor Growth Prediction via Group Learning. MICCAI (2) 2017: 424-432 - 2016
- [c8]Ling Zhang, Andreas Wahle, Zhi Chen, John J. Lopez, Tomas Kovarnik, Milan Sonka:
Location-specific prediction of vulnerable plaque using IVUS, virtual histology, and spatial context. ISBI 2016: 1354-1358 - [c7]Zhi Chen, Andreas Wahle, Ling Zhang, Tomas Kovarnik, John J. Lopez, Milan Sonka:
Comprehensive serial study of dynamic remodeling of atherosclerotic coronary arteries using IVUS. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2016: 97880Y - 2015
- [c6]Ling Zhang, Andreas Wahle, Zhi Chen, John J. Lopez, Tomas Kovarnik, Milan Sonka:
Prospective Prediction of Thin-Cap Fibroatheromas from Baseline Virtual Histology Intravascular Ultrasound Data. MICCAI (2) 2015: 603-610 - [c5]Ling Zhang, Shaoxiong Liu, Tianfu Wang, Siping Chen, Milan Sonka:
Improved segmentation of abnormal cervical nuclei using a graph-search based approach. Medical Imaging: Digital Pathology 2015: 94200W - [c4]Ling Zhang, Andreas Wahle, Zhi Chen, Li Zhang, Richard W. Downe, Tomas Kovarnik, Milan Sonka:
Joint registration of location and orientation of intravascular ultrasound pullbacks using a 3D graph based method. Medical Imaging: Image Processing 2015: 94131I - 2014
- [c3]Youyi Song, Ling Zhang, Siping Chen, Dong Ni, Baopu Li, Yongjing Zhou, Baiying Lei, Tianfu Wang:
A deep learning based framework for accurate segmentation of cervical cytoplasm and nuclei. EMBC 2014: 2903-2906 - [c2]Ling Zhang, Hui Kong, Chien Ting Chin, Shaoxiong Liu, Tianfu Wang, Siping Chen:
Automated segmentation of abnormal cervical cells using global and local graph cuts. ISBI 2014: 485-488 - 2011
- [c1]Ling Zhang, Siping Chen, Shengli Li, Tianfu Wang:
Automatic measurement of early gestational sac diameters from one scan session. Medical Imaging: Computer-Aided Diagnosis 2011: 796342
Parts in Books or Collections
- 2019
- [p2]Ling Zhang, Le Lu, Ronald M. Summers, Electron Kebebew, Jianhua Yao:
Tumor Growth Prediction Using Convolutional Networks. Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics 2019: 239-260 - [p1]Ke Yan, Xiaosong Wang, Le Lu, Ling Zhang, Adam P. Harrison, Mohammadhadi Bagheri, Ronald M. Summers:
Deep Lesion Graph in the Wild: Relationship Learning and Organization of Significant Radiology Image Findings in a Diverse Large-Scale Lesion Database. Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics 2019: 413-435
Informal and Other Publications
- 2024
- [i27]Quan Liu, Jiawen Yao, Lisha Yao, Xin Chen, Jingren Zhou, Le Lu, Ling Zhang, Zaiyi Liu, Yuankai Huo:
M2Fusion: Bayesian-based Multimodal Multi-level Fusion on Colorectal Cancer Microsatellite Instability Prediction. CoRR abs/2401.07854 (2024) - [i26]Wei Fang, Yuxing Tang, Heng Guo, Mingze Yuan, Tony C. W. Mok, Ke Yan, Jiawen Yao, Xin Chen, Zaiyi Liu, Le Lu, Ling Zhang, Minfeng Xu:
CycleINR: Cycle Implicit Neural Representation for Arbitrary-Scale Volumetric Super-Resolution of Medical Data. CoRR abs/2404.04878 (2024) - [i25]Weiwei Cao, Jianpeng Zhang, Yingda Xia, Tony C. W. Mok, Zi Li, Xianghua Ye, Le Lu, Jian Zheng, Yuxing Tang, Ling Zhang:
Bootstrapping Chest CT Image Understanding by Distilling Knowledge from X-ray Expert Models. CoRR abs/2404.04936 (2024) - [i24]Guangyu Guo, Jiawen Yao, Yingda Xia, Tony C. W. Mok, Zhilin Zheng, Junwei Han, Le Lu, Dingwen Zhang, Jian Zhou, Ling Zhang:
Boosting Medical Image-based Cancer Detection via Text-guided Supervision from Reports. CoRR abs/2405.14230 (2024) - 2023
- [i23]Zhilin Zheng, Xu Fang, Jiawen Yao, Mengmeng Zhu, Le Lu, Lingyun Huang, Jing Xiao, Yu Shi, Hong Lu, Jianping Lu, Ling Zhang, Chengwei Shao, Yun Bian:
A deep local attention network for pre-operative lymph node metastasis prediction in pancreatic cancer via multiphase CT imaging. CoRR abs/2301.01448 (2023) - [i22]Jieneng Chen, Yingda Xia, Jiawen Yao, Ke Yan, Jianpeng Zhang, Le Lu, Fakai Wang, Bo Zhou, Mingyan Qiu, Qihang Yu, Mingze Yuan, Wei Fang, Yuxing Tang, Minfeng Xu, Jian Zhou, Yuqian Zhao, Qifeng Wang, Xianghua Ye, Xiaoli Yin, Yu Shi, Xin Chen, Jingren Zhou, Alan L. Yuille, Zaiyi Liu, Ling Zhang:
Towards a Single Unified Model for Effective Detection, Segmentation, and Diagnosis of Eight Major Cancers Using a Large Collection of CT Scans. CoRR abs/2301.12291 (2023) - [i21]Bo Zhou, Yingda Xia, Jiawen Yao, Le Lu, Jingren Zhou, Chi Liu, James S. Duncan, Ling Zhang:
Meta-information-aware Dual-path Transformer for Differential Diagnosis of Multi-type Pancreatic Lesions in Multi-phase CT. CoRR abs/2303.00942 (2023) - [i20]Mingze Yuan, Yingda Xia, Hexin Dong, Zifan Chen, Jiawen Yao, Mingyan Qiu, Ke Yan, Xiaoli Yin, Yu Shi, Xin Chen, Zaiyi Liu, Bin Dong, Jingren Zhou, Le Lu, Ling Zhang, Li Zhang:
Devil is in the Queries: Advancing Mask Transformers for Real-world Medical Image Segmentation and Out-of-Distribution Localization. CoRR abs/2304.00212 (2023) - [i19]Fakai Wang, Chi-Tung Cheng, Chien-Wei Peng, Ke Yan, Min Wu, Le Lu, Chien-Hung Liao, Ling Zhang:
A Cascaded Approach for ultraly High Performance Lesion Detection and False Positive Removal in Liver CT Scans. CoRR abs/2306.16036 (2023) - [i18]Mingze Yuan, Yingda Xia, Xin Chen, Jiawen Yao, Junli Wang, Mingyan Qiu, Hexin Dong, Jingren Zhou, Bin Dong, Le Lu, Li Zhang, Zaiyi Liu, Ling Zhang:
Cluster-Induced Mask Transformers for Effective Opportunistic Gastric Cancer Screening on Non-contrast CT Scans. CoRR abs/2307.04525 (2023) - [i17]Ke Yan, Xiaoli Yin, Yingda Xia, Fakai Wang, Shu Wang, Yuan Gao, Jiawen Yao, Chunli Li, Xiaoyu Bai, Jingren Zhou, Ling Zhang, Le Lu, Yu Shi:
Liver Tumor Screening and Diagnosis in CT with Pixel-Lesion-Patient Network. CoRR abs/2307.08268 (2023) - [i16]Jianpeng Zhang, Xianghua Ye, Jianfeng Zhang, Yuxing Tang, Minfeng Xu, Jianfei Guo, Xin Chen, Zaiyi Liu, Jingren Zhou, Le Lu, Ling Zhang:
Parse and Recall: Towards Accurate Lung Nodule Malignancy Prediction like Radiologists. CoRR abs/2307.10824 (2023) - 2020
- [i15]Dong Yang, Holger Roth, Ziyue Xu, Fausto Milletari, Ling Zhang, Daguang Xu:
Searching Learning Strategy with Reinforcement Learning for 3D Medical Image Segmentation. CoRR abs/2006.05847 (2020) - [i14]Ling Zhang, Yu Shi, Jiawen Yao, Yun Bian, Kai Cao, Dakai Jin, Jing Xiao, Le Lu:
Robust Pancreatic Ductal Adenocarcinoma Segmentation with Multi-Institutional Multi-Phase Partially-Annotated CT Scans. CoRR abs/2008.10652 (2020) - [i13]Jiawen Yao, Yu Shi, Le Lu, Jing Xiao, Ling Zhang:
DeepPrognosis: Preoperative Prediction of Pancreatic Cancer Survival and Surgical Margin via Contrast-Enhanced CT Imaging. CoRR abs/2008.11853 (2020) - [i12]Tianyi Zhao, Kai Cao, Jiawen Yao, Isabella Nogues, Le Lu, Lingyun Huang, Jing Xiao, Zhaozheng Yin, Ling Zhang:
3D Graph Anatomy Geometry-Integrated Network for Pancreatic Mass Segmentation, Diagnosis, and Quantitative Patient Management. CoRR abs/2012.04701 (2020) - 2019
- [i11]Ling Zhang, Le Lu, Robert Zhu, Mohammadhadi Bagheri, Ronald M. Summers, Jianhua Yao:
Spatial-Temporal Convolutional LSTMs for Tumor Growth Prediction by Learning 4D Longitudinal Patient Data. CoRR abs/1902.08716 (2019) - [i10]Ling Zhang, Xiaosong Wang, Dong Yang, Thomas Sanford, Stephanie A. Harmon, Baris Turkbey, Holger Roth, Andriy Myronenko, Daguang Xu, Ziyue Xu:
When Unseen Domain Generalization is Unnecessary? Rethinking Data Augmentation. CoRR abs/1906.03347 (2019) - [i9]Ziyue Xu, Xiaosong Wang, Hoo-Chang Shin, Dong Yang, Holger Roth, Fausto Milletari, Ling Zhang, Daguang Xu:
Correlation via synthesis: end-to-end nodule image generation and radiogenomic map learning based on generative adversarial network. CoRR abs/1907.03728 (2019) - [i8]Holger Roth, Ling Zhang, Dong Yang, Fausto Milletari, Ziyue Xu, Xiaosong Wang, Daguang Xu:
Weakly supervised segmentation from extreme points. CoRR abs/1910.01236 (2019) - 2018
- [i7]Ling Zhang, Le Lu, Ronald M. Summers, Electron Kebebew, Jianhua Yao:
Convolutional Invasion and Expansion Networks for Tumor Growth Prediction. CoRR abs/1801.08468 (2018) - [i6]Ling Zhang, Vissagan Gopalakrishnan, Le Lu, Ronald M. Summers, Joel Moss, Jianhua Yao:
Self-Learning to Detect and Segment Cysts in Lung CT Images without Manual Annotation. CoRR abs/1801.08486 (2018) - [i5]Zhihui Guo, Ling Zhang, Le Lu, Mohammadhadi Bagheri, Ronald M. Summers, Milan Sonka, Jianhua Yao:
Deep LOGISMOS: Deep Learning Graph-based 3D Segmentation of Pancreatic Tumors on CT scans. CoRR abs/1801.08599 (2018) - [i4]Ling Zhang, Le Lu, Isabella Nogues, Ronald M. Summers, Shaoxiong Liu, Jianhua Yao:
DeepPap: Deep Convolutional Networks for Cervical Cell Classification. CoRR abs/1801.08616 (2018) - [i3]Haoming Lin, Yuyang Hu, Siping Chen, Jianhua Yao, Ling Zhang:
Fine-Grained Classification of Cervical Cells Using Morphological and Appearance Based Convolutional Neural Networks. CoRR abs/1810.06058 (2018) - 2017
- [i2]Ling Zhang, Le Lu, Ronald M. Summers, Electron Kebebew, Jianhua Yao:
Personalized Pancreatic Tumor Growth Prediction via Group Learning. CoRR abs/1706.00493 (2017) - [i1]Ke Yan, Xiaosong Wang, Le Lu, Ling Zhang, Adam P. Harrison, Mohammadhadi Bagheri, Ronald M. Summers:
Deep Lesion Graphs in the Wild: Relationship Learning and Organization of Significant Radiology Image Findings in a Diverse Large-scale Lesion Database. CoRR abs/1711.10535 (2017)
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