Universal Loss Reweighting to Balance Lesion Size Inequality in 3D Medical Image Segmentation (English)
- New search for: Shirokikh, Boris
- New search for: Shevtsov, Alexey
- New search for: Kurmukov, Anvar
- New search for: Dalechina, Alexandra
- New search for: Krivov, Egor
- New search for: Kostjuchenko, Valery
- New search for: Golanov, Andrey
- New search for: Belyaev, Mikhail
- New search for: Martel, Anne L.
- Further information on Martel, Anne L.:
- https://orcid.org/https://orcid.org/0000-0003-1375-5501
- New search for: Abolmaesumi, Purang
- Further information on Abolmaesumi, Purang:
- https://orcid.org/https://orcid.org/0000-0002-7259-8609
- New search for: Stoyanov, Danail
- Further information on Stoyanov, Danail:
- https://orcid.org/https://orcid.org/0000-0002-0980-3227
- New search for: Mateus, Diana
- Further information on Mateus, Diana:
- https://orcid.org/https://orcid.org/0000-0002-2252-8717
- New search for: Zuluaga, Maria A.
- Further information on Zuluaga, Maria A.:
- https://orcid.org/https://orcid.org/0000-0002-1147-766X
- New search for: Zhou, S. Kevin
- Further information on Zhou, S. Kevin:
- https://orcid.org/https://orcid.org/0000-0002-6881-4444
- New search for: Racoceanu, Daniel
- Further information on Racoceanu, Daniel:
- https://orcid.org/https://orcid.org/0000-0002-9416-1803
- New search for: Joskowicz, Leo
- Further information on Joskowicz, Leo:
- https://orcid.org/https://orcid.org/0000-0002-3010-4770
- New search for: Shirokikh, Boris
- New search for: Shevtsov, Alexey
- New search for: Kurmukov, Anvar
- New search for: Dalechina, Alexandra
- New search for: Krivov, Egor
- New search for: Kostjuchenko, Valery
- New search for: Golanov, Andrey
- New search for: Belyaev, Mikhail
In:
Medical Image Computing and Computer Assisted Intervention – MICCAI 2020
: 23rd International Conference, Lima, Peru, October 4–8, 2020, Proceedings, Part IV
;
Chapter: 51
;
523-532
;
2020
- Article/Chapter (Book) / Electronic Resource
-
Title:Universal Loss Reweighting to Balance Lesion Size Inequality in 3D Medical Image Segmentation
-
Additional title:Lect.Notes Computer
-
Contributors:Martel, Anne L. ( editor ) / Abolmaesumi, Purang ( editor ) / Stoyanov, Danail ( editor ) / Mateus, Diana ( editor ) / Zuluaga, Maria A. ( editor ) / Zhou, S. Kevin ( editor ) / Racoceanu, Daniel ( editor ) / Joskowicz, Leo ( editor ) / Shirokikh, Boris ( author ) / Shevtsov, Alexey ( author )
-
Conference:International Conference on Medical Image Computing and Computer-Assisted Intervention ; 2020 ; Lima, Peru
-
Published in:Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 : 23rd International Conference, Lima, Peru, October 4–8, 2020, Proceedings, Part IV ; Chapter: 51 ; 523-532Lecture Notes in Computer Science ; 12264 ; 523-532
-
Publisher:
- New search for: Springer International Publishing
-
Place of publication:Cham
-
Publication date:2020-09-29
-
Size:10 pages
-
ISBN:
-
ISSN:
-
DOI:
-
Type of media:Article/Chapter (Book)
-
Type of material:Electronic Resource
-
Language:English
-
Keywords:
-
Source:
Table of contents eBook
The tables of contents are generated automatically and are based on the data records of the individual contributions available in the index of the TIB portal. The display of the Tables of Contents may therefore be incomplete.
- 1
-
Deep Volumetric Universal Lesion Detection Using Light-Weight Pseudo 3D Convolution and Surface Point RegressionCai, Jinzheng / Yan, Ke / Cheng, Chi-Tung / Xiao, Jing / Liao, Chien-Hung / Lu, Le / Harrison, Adam P. et al. | 2020
- 2
-
DeScarGAN: Disease-Specific Anomaly Detection with Weak SupervisionWolleb, Julia / Sandkühler, Robin / Cattin, Philippe C. et al. | 2020
- 3
-
KISEG: A Three-Stage Segmentation Framework for Multi-level Acceleration of Chest CT Scans from COVID-19 PatientsLiu, Xiaohong / Wang, Kai / Wang, Ke / Chen, Ting / Zhang, Kang / Wang, Guangyu et al. | 2020
- 4
-
CircleNet: Anchor-Free Glomerulus Detection with Circle RepresentationYang, Haichun / Deng, Ruining / Lu, Yuzhe / Zhu, Zheyu / Chen, Ye / Roland, Joseph T. / Lu, Le / Landman, Bennett A. / Fogo, Agnes B. / Huo, Yuankai et al. | 2020
- 5
-
Weakly Supervised One-Stage Vision and Language Disease Detection Using Large Scale Pneumonia and Pneumothorax StudiesTam, Leo K. / Wang, Xiaosong / Turkbey, Evrim / Lu, Kevin / Wen, Yuhong / Xu, Daguang et al. | 2020
- 6
-
Diagnostic Assessment of Deep Learning Algorithms for Detection and Segmentation of Lesion in Mammographic ImagesBoot, Thomas / Irshad, Humayun et al. | 2020
- 7
-
Efficient and Phase-Aware Video Super-Resolution for Cardiac MRILin, Jhih-Yuan / Chang, Yu-Cheng / Hsu, Winston H. et al. | 2020
- 8
-
ImageCHD: A 3D Computed Tomography Image Dataset for Classification of Congenital Heart DiseaseXu, Xiaowei / Wang, Tianchen / Zhuang, Jian / Yuan, Haiyun / Huang, Meiping / Cen, Jianzheng / Jia, Qianjun / Dong, Yuhao / Shi, Yiyu et al. | 2020
- 9
-
Deep Generative Model-Based Quality Control for Cardiac MRI SegmentationWang, Shuo / Tarroni, Giacomo / Qin, Chen / Mo, Yuanhan / Dai, Chengliang / Chen, Chen / Glocker, Ben / Guo, Yike / Rueckert, Daniel / Bai, Wenjia et al. | 2020
- 10
-
DeU-Net: Deformable U-Net for 3D Cardiac MRI Video SegmentationDong, Shunjie / Zhao, Jinlong / Zhang, Maojun / Shi, Zhengxue / Deng, Jianing / Shi, Yiyu / Tian, Mei / Zhuo, Cheng et al. | 2020
- 11
-
Learning Directional Feature Maps for Cardiac MRI SegmentationCheng, Feng / Chen, Cheng / Wang, Yukang / Shi, Heshui / Cao, Yukun / Tu, Dandan / Zhang, Changzheng / Xu, Yongchao et al. | 2020
- 12
-
Joint Left Atrial Segmentation and Scar Quantification Based on a DNN with Spatial Encoding and Shape AttentionLi, Lei / Weng, Xin / Schnabel, Julia A. / Zhuang, Xiahai et al. | 2020
- 13
-
XCAT-GAN for Synthesizing 3D Consistent Labeled Cardiac MR Images on Anatomically Variable XCAT PhantomsAmirrajab, Sina / Abbasi-Sureshjani, Samaneh / Al Khalil, Yasmina / Lorenz, Cristian / Weese, Jürgen / Pluim, Josien / Breeuwer, Marcel et al. | 2020
- 14
-
TexNet: Texture Loss Based Network for Gastric Antrum Segmentation in UltrasoundDong, Guohao / Zou, Yaoxian / Jiao, Jiaming / Liu, Yuxi / Liu, Shuo / Liang, Tianzhu / Liu, Chaoyue / Chen, Zhijie / Zhu, Lei / Ni, Dong et al. | 2020
- 15
-
Multi-organ Segmentation via Co-training Weight-Averaged Models from Few-Organ DatasetsHuang, Rui / Zheng, Yuanjie / Hu, Zhiqiang / Zhang, Shaoting / Li, Hongsheng et al. | 2020
- 16
-
Suggestive Annotation of Brain Tumour Images with Gradient-Guided SamplingDai, Chengliang / Wang, Shuo / Mo, Yuanhan / Zhou, Kaichen / Angelini, Elsa / Guo, Yike / Bai, Wenjia et al. | 2020
- 17
-
Pay More Attention to Discontinuity for Medical Image SegmentationChu, Jiajia / Chen, Yajie / Zhou, Wei / Shi, Heshui / Cao, Yukun / Tu, Dandan / Jin, Richu / Xu, Yongchao et al. | 2020
- 18
-
Learning 3D Features with 2D CNNs via Surface Projection for CT Volume SegmentationSong, Youyi / Yu, Zhen / Zhou, Teng / Teoh, Jeremy Yuen-Chun / Lei, Baiying / Choi, Kup-Sze / Qin, Jing et al. | 2020
- 19
-
Deep Class-Specific Affinity-Guided Convolutional Network for Multimodal Unpaired Image SegmentationChen, Jingkun / Li, Wenqi / Li, Hongwei / Zhang, Jianguo et al. | 2020
- 20
-
Memory-Efficient Automatic Kidney and Tumor Segmentation Based on Non-local Context Guided 3D U-NetLi, Zhuoying / Pan, Junquan / Wu, Huisi / Wen, Zhenkun / Qin, Jing et al. | 2020
- 21
-
Deep Small Bowel Segmentation with Cylindrical Topological ConstraintsShin, Seung Yeon / Lee, Sungwon / Elton, Daniel / Gulley, James L. / Summers, Ronald M. et al. | 2020
- 22
-
Learning Sample-Adaptive Intensity Lookup Table for Brain Tumor SegmentationYu, Biting / Zhou, Luping / Wang, Lei / Yang, Wanqi / Yang, Ming / Bourgeat, Pierrick / Fripp, Jurgen et al. | 2020
- 23
-
Superpixel-Guided Label Softening for Medical Image SegmentationLi, Hang / Wei, Dong / Cao, Shilei / Ma, Kai / Wang, Liansheng / Zheng, Yefeng et al. | 2020
- 24
-
Revisiting Rubik’s Cube: Self-supervised Learning with Volume-Wise Transformation for 3D Medical Image SegmentationTao, Xing / Li, Yuexiang / Zhou, Wenhui / Ma, Kai / Zheng, Yefeng et al. | 2020
- 25
-
Robust Medical Image Segmentation from Non-expert Annotations with Tri-networkZhang, Tianwei / Yu, Lequan / Hu, Na / Lv, Su / Gu, Shi et al. | 2020
- 26
-
Robust Fusion of Probability MapsAudelan, Benoît / Hamzaoui, Dimitri / Montagne, Sarah / Renard-Penna, Raphaële / Delingette, Hervé et al. | 2020
- 27
-
Calibrated Surrogate Maximization of DiceNordström, Marcus / Bao, Han / Löfman, Fredrik / Hult, Henrik / Maki, Atsuto / Sugiyama, Masashi et al. | 2020
- 28
-
Uncertainty-Guided Efficient Interactive Refinement of Fetal Brain Segmentation from Stacks of MRI SlicesWang, Guotai / Aertsen, Michael / Deprest, Jan / Ourselin, Sébastien / Vercauteren, Tom / Zhang, Shaoting et al. | 2020
- 29
-
Widening the Focus: Biomedical Image Segmentation Challenges and the Underestimated Role of Patch Sampling and Inference StrategiesMadesta, Frederic / Schmitz, Rüdiger / Rösch, Thomas / Werner, René et al. | 2020
- 30
-
Voxel2Mesh: 3D Mesh Model Generation from Volumetric DataWickramasinghe, Udaranga / Remelli, Edoardo / Knott, Graham / Fua, Pascal et al. | 2020
- 31
-
Unsupervised Learning for CT Image Segmentation via Adversarial RedrawingSong, Youyi / Zhou, Teng / Teoh, Jeremy Yuen-Chun / Zhang, Jing / Qin, Jing et al. | 2020
- 32
-
Deep Active Contour Network for Medical Image SegmentationZhang, Mo / Dong, Bin / Li, Quanzheng et al. | 2020
- 33
-
Learning Crisp Edge Detector Using Logical Refinement NetworkLiu, Luyan / Ma, Kai / Zheng, Yefeng et al. | 2020
- 34
-
Defending Deep Learning-Based Biomedical Image Segmentation from Adversarial Attacks: A Low-Cost Frequency Refinement ApproachLiu, Qi / Jiang, Han / Liu, Tao / Liu, Zihao / Li, Sicheng / Wen, Wujie / Shi, Yiyu et al. | 2020
- 35
-
CNN-GCN Aggregation Enabled Boundary Regression for Biomedical Image SegmentationMeng, Yanda / Wei, Meng / Gao, Dongxu / Zhao, Yitian / Yang, Xiaoyun / Huang, Xiaowei / Zheng, Yalin et al. | 2020
- 36
-
KiU-Net: Towards Accurate Segmentation of Biomedical Images Using Over-Complete RepresentationsValanarasu, Jeya Maria Jose / Sindagi, Vishwanath A. / Hacihaliloglu, Ilker / Patel, Vishal M. et al. | 2020
- 37
-
LAMP: Large Deep Nets with Automated Model Parallelism for Image SegmentationZhu, Wentao / Zhao, Can / Li, Wenqi / Roth, Holger / Xu, Ziyue / Xu, Daguang et al. | 2020
- 38
-
INSIDE: Steering Spatial Attention with Non-imaging Information in CNNsJacenków, Grzegorz / O’Neil, Alison Q. / Mohr, Brian / Tsaftaris, Sotirios A. et al. | 2020
- 39
-
SiamParseNet: Joint Body Parsing and Label Propagation in Infant Movement VideosNi, Haomiao / Xue, Yuan / Zhang, Qian / Huang, Xiaolei et al. | 2020
- 40
-
Orchestrating Medical Image Compression and Remote Segmentation NetworksLiu, Zihao / Li, Sicheng / Chen, Yen-kuang / Liu, Tao / Liu, Qi / Xu, Xiaowei / Shi, Yiyu / Wen, Wujie et al. | 2020
- 41
-
Bounding Maps for Universal Lesion DetectionLi, Han / Han, Hu / Zhou, S. Kevin et al. | 2020
- 42
-
Multimodal Priors Guided Segmentation of Liver Lesions in MRI Using Mutual Information Based Graph Co-Attention NetworksMo, Shaocong / Cai, Ming / Lin, Lanfen / Tong, Ruofeng / Chen, Qingqing / Wang, Fang / Hu, Hongjie / Iwamoto, Yutaro / Han, Xian-Hua / Chen, Yen-Wei et al. | 2020
- 43
-
Mt-UcGAN: Multi-task Uncertainty-Constrained GAN for Joint Segmentation, Quantification and Uncertainty Estimation of Renal Tumors on CTRuan, Yanan / Li, Dengwang / Marshall, Harry / Miao, Timothy / Cossetto, Tyler / Chan, Ian / Daher, Omar / Accorsi, Fabio / Goela, Aashish / Li, Shuo et al. | 2020
- 44
-
Weakly Supervised Deep Learning for Breast Cancer Segmentation with Coarse AnnotationsZheng, Hao / Zhuang, Zhiguo / Qin, Yulei / Gu, Yun / Yang, Jie / Yang, Guang-Zhong et al. | 2020
- 45
-
Multi-phase and Multi-level Selective Feature Fusion for Automated Pancreas Segmentation from CT ImagesJiang, Xixi / Luo, Qingqing / Wang, Zhiwei / Mei, Tao / Wen, Yu / Li, Xin / Cheng, Kwang-Ting / Yang, Xin et al. | 2020
- 46
-
Asymmetrical Multi-task Attention U-Net for the Segmentation of Prostate Bed in CT ImageXu, Xuanang / Lian, Chunfeng / Wang, Shuai / Wang, Andrew / Royce, Trevor / Chen, Ronald / Lian, Jun / Shen, Dinggang et al. | 2020
- 47
-
Learning High-Resolution and Efficient Non-local Features for Brain Glioma Segmentation in MR ImagesJia, Haozhe / Xia, Yong / Cai, Weidong / Huang, Heng et al. | 2020
- 48
-
Robust Pancreatic Ductal Adenocarcinoma Segmentation with Multi-institutional Multi-phase Partially-Annotated CT ScansZhang, Ling / Shi, Yu / Yao, Jiawen / Bian, Yun / Cao, Kai / Jin, Dakai / Xiao, Jing / Lu, Le et al. | 2020
- 49
-
Generation of Annotated Brain Tumor MRIs with Tumor-induced Tissue Deformations for Training and Assessment of Neural NetworksUzunova, Hristina / Ehrhardt, Jan / Handels, Heinz et al. | 2020
- 50
-
E\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$^2$$\end{document}Net: An Edge Enhanced Network for Accurate Liver and Tumor Segmentation on CT ScansTang, Youbao / Tang, Yuxing / Zhu, Yingying / Xiao, Jing / Summers, Ronald M. et al. | 2020
- 51
-
Universal Loss Reweighting to Balance Lesion Size Inequality in 3D Medical Image SegmentationShirokikh, Boris / Shevtsov, Alexey / Kurmukov, Anvar / Dalechina, Alexandra / Krivov, Egor / Kostjuchenko, Valery / Golanov, Andrey / Belyaev, Mikhail et al. | 2020
- 52
-
Brain Tumor Segmentation with Missing Modalities via Latent Multi-source Correlation RepresentationZhou, Tongxue / Canu, Stéphane / Vera, Pierre / Ruan, Su et al. | 2020
- 53
-
Revisiting 3D Context Modeling with Supervised Pre-training for Universal Lesion Detection in CT SlicesZhang, Shu / Xu, Jincheng / Chen, Yu-Chun / Ma, Jiechao / Li, Zihao / Wang, Yizhou / Yu, Yizhou et al. | 2020
- 54
-
Scale-Space Autoencoders for Unsupervised Anomaly Segmentation in Brain MRIBaur, Christoph / Wiestler, Benedikt / Albarqouni, Shadi / Navab, Nassir et al. | 2020
- 55
-
AlignShift: Bridging the Gap of Imaging Thickness in 3D Anisotropic VolumesYang, Jiancheng / He, Yi / Huang, Xiaoyang / Xu, Jingwei / Ye, Xiaodan / Tao, Guangyu / Ni, Bingbing et al. | 2020
- 56
-
One Click Lesion RECIST Measurement and Segmentation on CT ScansTang, Youbao / Yan, Ke / Xiao, Jing / Summers, Ronald M. et al. | 2020
- 57
-
Automated Detection of Cortical Lesions in Multiple Sclerosis Patients with 7T MRILa Rosa, Francesco / Beck, Erin S. / Abdulkadir, Ahmed / Thiran, Jean-Philippe / Reich, Daniel S. / Sati, Pascal / Bach Cuadra, Meritxell et al. | 2020
- 58
-
Deep Attentive Panoptic Model for Prostate Cancer Detection Using Biparametric MRI ScansYu, Xin / Lou, Bin / Zhang, Donghao / Winkel, David / Arrahmane, Nacim / Diallo, Mamadou / Meng, Tongbai / von Busch, Heinrich / Grimm, Robert / Kiefer, Berthold et al. | 2020
- 59
-
Graph Reasoning and Shape Constraints for Cardiac Segmentation in Congenital Heart DefectLiu, Tao / Tian, Yun / Zhao, Shifeng / Huang, Xiaoying et al. | 2020
- 60
-
Nonlinear Regression on Manifolds for Shape Analysis using Intrinsic Bézier SplinesHanik, Martin / Hege, Hans-Christian / Hennemuth, Anja / von Tycowicz, Christoph et al. | 2020
- 61
-
Self-supervised Discovery of Anatomical Shape LandmarksBhalodia, Riddhish / Kavan, Ladislav / Whitaker, Ross T. et al. | 2020
- 62
-
Shape Mask Generator: Learning to Refine Shape Priors for Segmenting Overlapping Cervical CytoplasmsSong, Youyi / Zhu, Lei / Lei, Baiying / Sheng, Bin / Dou, Qi / Qin, Jing / Choi, Kup-Sze et al. | 2020
- 63
-
Prostate Motion Modelling Using Biomechanically-Trained Deep Neural Networks on Unstructured NodesSaeed, Shaheer U. / Taylor, Zeike A. / Pinnock, Mark A. / Emberton, Mark / Barratt, Dean C. / Hu, Yipeng et al. | 2020
- 64
-
Deep Learning Assisted Automatic Intra-operative 3D Aortic Deformation ReconstructionZhang, Yanhao / Falque, Raphael / Zhao, Liang / Huang, Shoudong / Hu, Boni et al. | 2020
- 65
-
Landmarks Detection with Anatomical Constraints for Total Hip Arthroplasty Preoperative MeasurementsLiu, Wei / Wang, Yu / Jiang, Tao / Chi, Ying / Zhang, Lei / Hua, Xian-Sheng et al. | 2020
- 66
-
Instantiation-Net: 3D Mesh Reconstruction from Single 2D Image for Right VentricleWang, Zhao-Yang / Zhou, Xiao-Yun / Li, Peichao / Theodoreli-Riga, Celia / Yang, Guang-Zhong et al. | 2020
- 67
-
Miss the Point: Targeted Adversarial Attack on Multiple Landmark DetectionYao, Qingsong / He, Zecheng / Han, Hu / Zhou, S. Kevin et al. | 2020
- 68
-
Automatic Tooth Segmentation and Dense Correspondence of 3D Dental ModelSun, Diya / Pei, Yuru / Li, Peixin / Song, Guangying / Guo, Yuke / Zha, Hongbin / Xu, Tianmin et al. | 2020
- 69
-
Move Over There: One-Click Deformation Correction for Image Fusion During Endovascular Aortic RepairBreininger, Katharina / Pfister, Marcus / Kowarschik, Markus / Maier, Andreas et al. | 2020
- 70
-
Non-Rigid Volume to Surface Registration Using a Data-Driven Biomechanical ModelPfeiffer, Micha / Riediger, Carina / Leger, Stefan / Kühn, Jens-Peter / Seppelt, Danilo / Hoffmann, Ralf-Thorsten / Weitz, Jürgen / Speidel, Stefanie et al. | 2020
- 71
-
Deformation Aware Augmented Reality for Craniotomy Using 3D/2D Non-rigid Registration of Cortical VesselsHaouchine, Nazim / Juvekar, Parikshit / Wells III, William M. / Cotin, Stephane / Golby, Alexandra / Frisken, Sarah et al. | 2020
- 72
-
Skip-StyleGAN: Skip-Connected Generative Adversarial Networks for Generating 3D Rendered Image of Hand Bone ComplexAhn, Jaesin / Lee, Hyun-Joo / Choi, Inchul / Lee, Minho et al. | 2020
- 73
-
Dynamic Multi-object Gaussian Process ModelsFouefack, Jean-Rassaire / Borotikar, Bhushan / Douglas, Tania S. / Burdin, Valérie / Mutsvangwa, Tinashe E. M. et al. | 2020
- 74
-
A Kernelized Multi-level Localization Method for Flexible Shape Modeling with Few Training DataWilms, Matthias / Ehrhardt, Jan / Forkert, Nils D. et al. | 2020
- 75
-
Unsupervised Learning and Statistical Shape Modeling of the Morphometry and Hemodynamics of Coarctation of the AortaThamsen, Bente / Yevtushenko, Pavlo / Gundelwein, Lina / Lamecker, Hans / Kühne, Titus / Goubergrits, Leonid et al. | 2020
- 76
-
Convolutional Bayesian Models for Anatomical Landmarking on Multi-dimensional ShapesFan, Yonghui / Wang, Yalin et al. | 2020
- 77
-
SAUNet: Shape Attentive U-Net for Interpretable Medical Image SegmentationSun, Jesse / Darbehani, Fatemeh / Zaidi, Mark / Wang, Bo et al. | 2020
- 78
-
Multi-task Dynamic Transformer Network for Concurrent Bone Segmentation and Large-Scale Landmark Localization with Dental CBCTLian, Chunfeng / Wang, Fan / Deng, Hannah H. / Wang, Li / Xiao, Deqiang / Kuang, Tianshu / Lin, Hung-Ying / Gateno, Jaime / Shen, Steve G. F. / Yap, Pew-Thian et al. | 2020
- 79
-
Automatic Localization of Landmarks in Craniomaxillofacial CBCT Images Using a Local Attention-Based Graph Convolution NetworkLang, Yankun / Lian, Chunfeng / Xiao, Deqiang / Deng, Hannah / Yuan, Peng / Gateno, Jaime / Shen, Steve G. F. / Alfi, David M. / Yap, Pew-Thian / Xia, James J. et al. | 2020