Medical Image Computing and Computer Assisted Intervention – MICCAI 2020: 23rd International Conference, Lima, Peru, October 4–8, 2020, Proceedings, Part VI [1st ed.] 9783030597245, 9783030597252

Table of contents :
Front Matter ....Pages i-xxxvii
Front Matter ....Pages 1-1
Lightweight Double Attention-Fused Networks for Intraoperative Stent Segmentation (Yan-Jie Zhou, Xiao-Liang Xie, Zeng-Guang Hou, Xiao-Hu Zhou, Gui-Bin Bian, Shi-Qi Liu)....Pages 3-13
TopNet: Topology Preserving Metric Learning for Vessel Tree Reconstruction and Labelling (Deepak Keshwani, Yoshiro Kitamura, Satoshi Ihara, Satoshi Iizuka, Edgar Simo-Serra)....Pages 14-23
Learning Hybrid Representations for Automatic 3D Vessel Centerline Extraction (Jiafa He, Chengwei Pan, Can Yang, Ming Zhang, Yang Wang, Xiaowei Zhou et al.)....Pages 24-34
Branch-Aware Double DQN for Centerline Extraction in Coronary CT Angiography (Yuyang Zhang, Gongning Luo, Wei Wang, Kuanquan Wang)....Pages 35-44
Automatic CAD-RADS Scoring Using Deep Learning (Felix Denzinger, Michael Wels, Katharina Breininger, Mehmet A. Gülsün, Max Schöbinger, Florian André et al.)....Pages 45-54
Higher-Order Flux with Spherical Harmonics Transform for Vascular Analysis (Jierong Wang, Albert C. S. Chung)....Pages 55-65
Cerebrovascular Segmentation in MRA via Reverse Edge Attention Network (Hao Zhang, Likun Xia, Ran Song, Jianlong Yang, Huaying Hao, Jiang Liu et al.)....Pages 66-75
Automated Intracranial Artery Labeling Using a Graph Neural Network and Hierarchical Refinement (Li Chen, Thomas Hatsukami, Jenq-Neng Hwang, Chun Yuan)....Pages 76-85
Time Matters: Handling Spatio-Temporal Perfusion Information for Automated TICI Scoring (Maximilian Nielsen, Moritz Waldmann, Thilo Sentker, Andreas Frölich, Jens Fiehler, René Werner)....Pages 86-96
ID-Fit: Intra-Saccular Device Adjustment for Personalized Cerebral Aneurysm Treatment (Romina Muñoz, Ana Paula Narata, Ignacio Larrabide)....Pages 97-105
JointVesselNet: Joint Volume-Projection Convolutional Embedding Networks for 3D Cerebrovascular Segmentation (Yifan Wang, Guoli Yan, Haikuan Zhu, Sagar Buch, Ying Wang, Ewart Mark Haacke et al.)....Pages 106-116
Classification of Retinal Vessels into Artery-Vein in OCT Angiography Guided by Fundus Images (Jianyang Xie, Yonghuai Liu, Yalin Zheng, Pan Su, Yan Hu, Jianlong Yang et al.)....Pages 117-127
Vascular Surface Segmentation for Intracranial Aneurysm Isolation and Quantification (Žiga Bizjak, Boštjan Likar, Franjo Pernuš, Žiga àpiclin)....Pages 128-137
Front Matter ....Pages 139-139
Deep Doubly Supervised Transfer Network for Diagnosis of Breast Cancer with Imbalanced Ultrasound Imaging Modalities (Xiangmin Han, Jun Wang, Weijun Zhou, Cai Chang, Shihui Ying, Jun Shi)....Pages 141-149
2D X-Ray Mammogram and 3D Breast MRI Registration (Hossein Soleimani, Oleg V. Michailovich)....Pages 150-159
A Second-Order Subregion Pooling Network for Breast Lesion Segmentation in Ultrasound (Lei Zhu, Rongzhen Chen, Huazhu Fu, Cong Xie, Liansheng Wang, Liang Wan et al.)....Pages 160-170
Multi-scale Gradational-Order Fusion Framework for Breast Lesions Classification Using Ultrasound Images (Zhenyuan Ning, Chao Tu, Qing Xiao, Jiaxiu Luo, Yu Zhang)....Pages 171-180
Computer-Aided Tumor Diagnosis in Automated Breast Ultrasound Using 3D Detection Network (Junxiong Yu, Chaoyu Chen, Xin Yang, Yi Wang, Dan Yan, Jianxing Zhang et al.)....Pages 181-189
Auto-weighting for Breast Cancer Classification in Multimodal Ultrasound (Jian Wang, Juzheng Miao, Xin Yang, Rui Li, Guangquan Zhou, Yuhao Huang et al.)....Pages 190-199
MommiNet: Mammographic Multi-view Mass Identification Networks (Zhicheng Yang, Zhenjie Cao, Yanbo Zhang, Mei Han, Jing Xiao, Lingyun Huang et al.)....Pages 200-210
Multi-site Evaluation of a Study-Level Classifier for Mammography Using Deep Learning (Dustin Sargent, Sun Young Park, Amod Jog, Aly Mohamed, David Richmond)....Pages 211-219
The Case of Missed Cancers: Applying AI as a Radiologist’s Safety Net (Michal Chorev, Yoel Shoshan, Adam Spiro, Shaked Naor, Alon Hazan, Vesna Barros et al.)....Pages 220-229
Decoupling Inherent Risk and Early Cancer Signs in Image-Based Breast Cancer Risk Models (Yue Liu, Hossein Azizpour, Fredrik Strand, Kevin Smith)....Pages 230-240
Multi-task Learning for Detection and Classification of Cancer in Screening Mammography (Maria V. Sainz de Cea, Karl Diedrich, Ran Bakalo, Lior Ness, David Richmond)....Pages 241-250
Front Matter ....Pages 251-251
Adaptive Context Selection for Polyp Segmentation (Ruifei Zhang, Guanbin Li, Zhen Li, Shuguang Cui, Dahong Qian, Yizhou Yu)....Pages 253-262
PraNet: Parallel Reverse Attention Network for Polyp Segmentation (Deng-Ping Fan, Ge-Peng Ji, Tao Zhou, Geng Chen, Huazhu Fu, Jianbing Shen et al.)....Pages 263-273
Few-Shot Anomaly Detection for Polyp Frames from Colonoscopy (Yu Tian, Gabriel Maicas, Leonardo Zorron Cheng Tao Pu, Rajvinder Singh, Johan W. Verjans, Gustavo Carneiro)....Pages 274-284
PolypSeg: An Efficient Context-Aware Network for Polyp Segmentation from Colonoscopy Videos (Jiafu Zhong, Wei Wang, Huisi Wu, Zhenkun Wen, Jing Qin)....Pages 285-294
Endoscopic Polyp Segmentation Using a Hybrid 2D/3D CNN (Juana González-Bueno Puyal, Kanwal K. Bhatia, Patrick Brandao, Omer F. Ahmad, Daniel Toth, Rawen Kader et al.)....Pages 295-305
Front Matter ....Pages 307-307
A Distance-Based Loss for Smooth and Continuous Skin Layer Segmentation in Optoacoustic Images (Stefan Gerl, Johannes C. Paetzold, Hailong He, Ivan Ezhov, Suprosanna Shit, Florian Kofler et al.)....Pages 309-319
Fairness of Classifiers Across Skin Tones in Dermatology (Newton M. Kinyanjui, Timothy Odonga, Celia Cintas, Noel C. F. Codella, Rameswar Panda, Prasanna Sattigeri et al.)....Pages 320-329
Alleviating the Incompatibility Between Cross Entropy Loss and Episode Training for Few-Shot Skin Disease Classification (Wei Zhu, Haofu Liao, Wenbin Li, Weijian Li, Jiebo Luo)....Pages 330-339
Clinical-Inspired Network for Skin Lesion Recognition (Zihao Liu, Ruiqin Xiong, Tingting Jiang)....Pages 340-350
Multi-class Skin Lesion Segmentation for Cutaneous T-cell Lymphomas on High-Resolution Clinical Images (Zihao Liu, Haihao Pan, Chen Gong, Zejia Fan, Yujie Wen, Tingting Jiang et al.)....Pages 351-361
Front Matter ....Pages 363-363
Deep Learning Automatic Fetal Structures Segmentation in MRI Scans with Few Annotated Datasets (Gal Dudovitch, Daphna Link-Sourani, Liat Ben Sira, Elka Miller, Dafna Ben Bashat, Leo Joskowicz)....Pages 365-374
Data-Driven Multi-contrast Spectral Microstructure Imaging with InSpect (Paddy J. Slator, Jana Hutter, Razvan V. Marinescu, Marco Palombo, Laurence H. Jackson, Alison Ho et al.)....Pages 375-385
Semi-supervised Learning for Fetal Brain MRI Quality Assessment with ROI Consistency (Junshen Xu, Sayeri Lala, Borjan Gagoski, Esra Abaci Turk, P. Ellen Grant, Polina Golland et al.)....Pages 386-395
Enhanced Detection of Fetal Pose in 3D MRI by Deep Reinforcement Learning with Physical Structure Priors on Anatomy (Molin Zhang, Junshen Xu, Esra Abaci Turk, P. Ellen Grant, Polina Golland, Elfar Adalsteinsson)....Pages 396-405
Automatic Angle of Progress Measurement of Intrapartum Transperineal Ultrasound Image with Deep Learning (Minghong Zhou, Chao Yuan, Zhaoshi Chen, Chuan Wang, Yaosheng Lu)....Pages 406-414
Joint Image Quality Assessment and Brain Extraction of Fetal MRI Using Deep Learning (Lufan Liao, Xin Zhang, Fenqiang Zhao, Tao Zhong, Yuchen Pei, Xiangmin Xu et al.)....Pages 415-424
Front Matter ....Pages 425-425
Accelerated 4D Respiratory Motion-Resolved Cardiac MRI with a Model-Based Variational Network (Haikun Qi, Niccolo Fuin, Thomas Kuestner, René Botnar, Claudia Prieto)....Pages 427-435
Motion Pyramid Networks for Accurate and Efficient Cardiac Motion Estimation (Hanchao Yu, Xiao Chen, Humphrey Shi, Terrence Chen, Thomas S. Huang, Shanhui Sun)....Pages 436-446
ICA-UNet: ICA Inspired Statistical UNet for Real-Time 3D Cardiac Cine MRI Segmentation (Tianchen Wang, Xiaowei Xu, Jinjun Xiong, Qianjun Jia, Haiyun Yuan, Meiping Huang et al.)....Pages 447-457
A Bottom-Up Approach for Real-Time Mitral Valve Annulus Modeling on 3D Echo Images (Yue Zhang, Abdoul-aziz Amadou, Ingmar Voigt, Viorel Mihalef, Helene Houle, Matthias John et al.)....Pages 458-467
A Semi-supervised Joint Network for Simultaneous Left Ventricular Motion Tracking and Segmentation in 4D Echocardiography (Kevinminh Ta, Shawn S. Ahn, John C. Stendahl, Albert J. Sinusas, James S. Duncan)....Pages 468-477
Joint Data Imputation and Mechanistic Modelling for Simulating Heart-Brain Interactions in Incomplete Datasets (Jaume Banus, Maxime Sermesant, Oscar Camara, Marco Lorenzi)....Pages 478-486
Learning Geometry-Dependent and Physics-Based Inverse Image Reconstruction (Xiajun Jiang, Sandesh Ghimire, Jwala Dhamala, Zhiyuan Li, Prashnna Kumar Gyawali, Linwei Wang)....Pages 487-496
Hierarchical Classification of Pulmonary Lesions: A Large-Scale Radio-Pathomics Study (Jiancheng Yang, Mingze Gao, Kaiming Kuang, Bingbing Ni, Yunlang She, Dong Xie et al.)....Pages 497-507
Learning Tumor Growth via Follow-Up Volume Prediction for Lung Nodules (Yamin Li, Jiancheng Yang, Yi Xu, Jingwei Xu, Xiaodan Ye, Guangyu Tao et al.)....Pages 508-517
Multi-stream Progressive Up-Sampling Network for Dense CT Image Reconstruction (Qiuyue Liu, Zhen Zhou, Feng Liu, Xiangming Fang, Yizhou Yu, Yizhou Wang)....Pages 518-528
Abnormality Detection in Chest X-Ray Images Using Uncertainty Prediction Autoencoders (Yifan Mao, Fei-Fei Xue, Ruixuan Wang, Jianguo Zhang, Wei-Shi Zheng, Hongmei Liu)....Pages 529-538
Region Proposals for Saliency Map Refinement for Weakly-Supervised Disease Localisation and Classification (Renato Hermoza, Gabriel Maicas, Jacinto C. Nascimento, Gustavo Carneiro)....Pages 539-549
CPM-Net: A 3D Center-Points Matching Network for Pulmonary Nodule Detection in CT Scans (Tao Song, Jieneng Chen, Xiangde Luo, Yechong Huang, Xinglong Liu, Ning Huang et al.)....Pages 550-559
Interpretable Identification of Interstitial Lung Disease (ILD) Associated Findings from CT (Yifan Wu, Jiancong Wang, William D. Lindsay, Tarmily Wen, Jianbo Shi, James C. Gee)....Pages 560-569
Learning with Sure Data for Nodule-Level Lung Cancer Prediction (Hanxiao Zhang, Yun Gu, Yulei Qin, Feng Yao, Guang-Zhong Yang)....Pages 570-578
Cascaded Robust Learning at Imperfect Labels for Chest X-ray Segmentation (Cheng Xue, Qiao Deng, Xiaomeng Li, Qi Dou, Pheng-Ann Heng)....Pages 579-588
Class-Aware Multi-window Adversarial Lung Nodule Synthesis Conditioned on Semantic Features (Qiuli Wang, Xingpeng Zhang, Wei Chen, Kun Wang, Xiaohong Zhang)....Pages 589-598
Nodule2vec: A 3D Deep Learning System for Pulmonary Nodule Retrieval Using Semantic Representation (Ilia Kravets, Tal Heletz, Hayit Greenspan)....Pages 599-608
Deep Active Learning for Effective Pulmonary Nodule Detection (Jingya Liu, Liangliang Cao, Yingli Tian)....Pages 609-618
Front Matter ....Pages 619-619
Towards Robust Bone Age Assessment: Rethinking Label Noise and Ambiguity (Ping Gong, Zihao Yin, Yizhou Wang, Yizhou Yu)....Pages 621-630
Improve Bone Age Assessment by Learning from Anatomical Local Regions (Dong Wang, Kexin Zhang, Jia Ding, Liwei Wang)....Pages 631-640
An Analysis by Synthesis Method that Allows Accurate Spatial Modeling of Thickness of Cortical Bone from Clinical QCT (Stefan Reinhold, Timo Damm, Sebastian Büsse, Stanislav Gorb, Claus-C. Glüer, Reinhard Koch)....Pages 641-651
Segmentation of Paraspinal Muscles at Varied Lumbar Spinal Levels by Explicit Saliency-Aware Learning (Jiawei Huang, Haotian Shen, Bo Chen, Yue Wang, Shuo Li)....Pages 652-661
Manifold Ordinal-Mixup for Ordered Classes in TW3-Based Bone Age Assessment (Byeonguk Bae, Jaewon Lee, Seo Taek Kong, Jinkyeong Sung, Kyu-Hwan Jung)....Pages 662-670
Contour-Based Bone Axis Detection for X-Ray Guided Surgery on the Knee (Florian Kordon, Andreas Maier, Benedict Swartman, Maxim Privalov, Jan Siad El Barbari, Holger Kunze)....Pages 671-680
Automatic Segmentation, Localization, and Identification of Vertebrae in 3D CT Images Using Cascaded Convolutional Neural Networks (Naoto Masuzawa, Yoshiro Kitamura, Keigo Nakamura, Satoshi Iizuka, Edgar Simo-Serra)....Pages 681-690
Discriminative Dictionary-Embedded Network for Comprehensive Vertebrae Tumor Diagnosis (Shen Zhao, Bin Chen, Heyou Chang, Xi Wu, Shuo Li)....Pages 691-701
Multi-vertebrae Segmentation from Arbitrary Spine MR Images Under Global View (Heyou Chang, Shen Zhao, Hao Zheng, Yang Chen, Shuo Li)....Pages 702-711
A Convolutional Approach to Vertebrae Detection and Labelling in Whole Spine MRI (Rhydian Windsor, Amir Jamaludin, Timor Kadir, Andrew Zisserman)....Pages 712-722
Keypoints Localization for Joint Vertebra Detection and Fracture Severity Quantification (Maxim Pisov, Vladimir Kondratenko, Alexey Zakharov, Alexey Petraikin, Victor Gombolevskiy, Sergey Morozov et al.)....Pages 723-732
Grading Loss: A Fracture Grade-Based Metric Loss for Vertebral Fracture Detection (Malek Husseini, Anjany Sekuboyina, Maximilian Loeffler, Fernando Navarro, Bjoern H. Menze, Jan S. Kirschke)....Pages 733-742
3D Convolutional Sequence to Sequence Model for Vertebral Compression Fractures Identification in CT (David Chettrit, Tomer Meir, Hila Lebel, Mila Orlovsky, Ronen Gordon, Ayelet Akselrod-Ballin et al.)....Pages 743-752
SIMBA: Specific Identity Markers for Bone Age Assessment (Cristina González, María Escobar, Laura Daza, Felipe Torres, Gustavo Triana, Pablo Arbeláez)....Pages 753-763
Doctor Imitator: A Graph-Based Bone Age Assessment Framework Using Hand Radiographs (Jintai Chen, Bohan Yu, Biwen Lei, Ruiwei Feng, Danny Z. Chen, Jian Wu)....Pages 764-774
Inferring the 3D Standing Spine Posture from 2D Radiographs (Amirhossein Bayat, Anjany Sekuboyina, Johannes C. Paetzold, Christian Payer, Darko Stern, Martin Urschler et al.)....Pages 775-784
Generative Modelling of 3D In-Silico Spongiosa with Controllable Micro-structural Parameters (Emmanuel Iarussi, Felix Thomsen, Claudio Delrieux)....Pages 785-794
GAN-Based Realistic Bone Ultrasound Image and Label Synthesis for Improved Segmentation (Ahmed Z. Alsinan, Charles Rule, Michael Vives, Vishal M. Patel, Ilker Hacihaliloglu)....Pages 795-804
Robust Bone Shadow Segmentation from 2D Ultrasound Through Task Decomposition (Puyang Wang, Michael Vives, Vishal M. Patel, Ilker Hacihaliloglu)....Pages 805-814
Back Matter ....Pages 815-819