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ORCID23rd MICCAI 2020: Lima, Peru - Part VI
- Anne L. Martel
, Purang Abolmaesumi, Danail Stoyanov, Diana Mateus, Maria A. Zuluaga, S. Kevin Zhou, Daniel Racoceanu, Leo Joskowicz:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2020 - 23rd International Conference, Lima, Peru, October 4-8, 2020, Proceedings, Part VI. Lecture Notes in Computer Science 12266, Springer 2020, ISBN 978-3-030-59724-5
Angiography and Vessel Analysis
- Yan-Jie Zhou, Xiao-Liang Xie, Zeng-Guang Hou, Xiao-Hu Zhou, Gui-Bin Bian, Shi-Qi Liu:
Lightweight Double Attention-Fused Networks for Intraoperative Stent Segmentation. 3-13 - Deepak Keshwani, Yoshiro Kitamura, Satoshi Ihara, Satoshi Iizuka, Edgar Simo-Serra:
TopNet: Topology Preserving Metric Learning for Vessel Tree Reconstruction and Labelling. 14-23 - Jiafa He, Chengwei Pan, Can Yang, Ming Zhang, Yang Wang, Xiaowei Zhou, Yizhou Yu:
Learning Hybrid Representations for Automatic 3D Vessel Centerline Extraction. 24-34 - Yuyang Zhang, Gongning Luo, Wei Wang, Kuanquan Wang:
Branch-Aware Double DQN for Centerline Extraction in Coronary CT Angiography. 35-44 - Felix Denzinger, Michael Wels, Katharina Breininger, Mehmet A. Gülsün, Max Schöbinger, Florian André, Sebastian Buß, Johannes Görich, Michael Sühling, Andreas K. Maier:
Automatic CAD-RADS Scoring Using Deep Learning. 45-54 - Jierong Wang, Albert C. S. Chung:
Higher-Order Flux with Spherical Harmonics Transform for Vascular Analysis. 55-65 - Hao Zhang, Likun Xia, Ran Song, Jianlong Yang, Huaying Hao, Jiang Liu, Yitian Zhao:
Cerebrovascular Segmentation in MRA via Reverse Edge Attention Network. 66-75 - Li Chen, Thomas S. Hatsukami, Jenq-Neng Hwang, Chun Yuan:
Automated Intracranial Artery Labeling Using a Graph Neural Network and Hierarchical Refinement. 76-85 - Maximilian Nielsen, Moritz Waldmann, Thilo Sentker, Andreas Frölich, Jens Fiehler, René Werner:
Time Matters: Handling Spatio-Temporal Perfusion Information for Automated TICI Scoring. 86-96 - Romina Muñoz, Ana Paula Narata, Ignacio Larrabide:
ID-Fit: Intra-Saccular Device Adjustment for Personalized Cerebral Aneurysm Treatment. 97-105 - Yifan Wang, Guoli Yan, Haikuan Zhu, Sagar Buch, Ying Wang, Ewart Mark Haacke, Jing Hua, Zichun Zhong:
JointVesselNet: Joint Volume-Projection Convolutional Embedding Networks for 3D Cerebrovascular Segmentation. 106-116 - Jianyang Xie, Yonghuai Liu, Yalin Zheng, Pan Su, Yan Hu, Jian Yang, Jiang Liu, Yitian Zhao:
Classification of Retinal Vessels into Artery-Vein in OCT Angiography Guided by Fundus Images. 117-127 - Ziga Bizjak, Bostjan Likar, Franjo Pernus, Ziga Spiclin:
Vascular Surface Segmentation for Intracranial Aneurysm Isolation and Quantification. 128-137
Breast Imaging
- Xiangmin Han, Jun Wang, Weijun Zhou, Cai Chang, Shihui Ying, Jun Shi:
Deep Doubly Supervised Transfer Network for Diagnosis of Breast Cancer with Imbalanced Ultrasound Imaging Modalities. 141-149 - Hossein Soleimani, Oleg V. Michailovich:
2D X-Ray Mammogram and 3D Breast MRI Registration. 150-159 - Lei Zhu, Rongzhen Chen, Huazhu Fu, Cong Xie, Liansheng Wang, Liang Wan, Pheng-Ann Heng:
A Second-Order Subregion Pooling Network for Breast Lesion Segmentation in Ultrasound. 160-170 - Zhenyuan Ning, Chao Tu, Qing Xiao, Jiaxiu Luo, Yu Zhang:
Multi-scale Gradational-Order Fusion Framework for Breast Lesions Classification Using Ultrasound Images. 171-180 - Junxiong Yu, Chaoyu Chen, Xin Yang, Yi Wang, Dan Yan, Jianxing Zhang, Dong Ni:
Computer-Aided Tumor Diagnosis in Automated Breast Ultrasound Using 3D Detection Network. 181-189 - Jian Wang, Juzheng Miao, Xin Yang, Rui Li, Guangquan Zhou, Yuhao Huang, Zehui Lin, Wufeng Xue, Xiaohong Jia, Jianqiao Zhou, Ruobing Huang, Dong Ni:
Auto-weighting for Breast Cancer Classification in Multimodal Ultrasound. 190-199 - Zhicheng Yang, Zhenjie Cao, Yanbo Zhang, Mei Han, Jing Xiao, Lingyun Huang, Shibin Wu, Jie Ma, Peng Chang:
MommiNet: Mammographic Multi-view Mass Identification Networks. 200-210 - Dustin Sargent, Sun Young Park, Amod Jog, Aly A. Mohamed, David Richmond:
Multi-site Evaluation of a Study-Level Classifier for Mammography Using Deep Learning. 211-219 - Michal Chorev, Yoel Shoshan, Ayelet Akselrod-Ballin, Adam Spiro, Shaked Naor, Alon Hazan, Vesna Resende Barros, Iuliana Weinstein, Esma Herzel, Varda Shalev, Michal Guindy, Michal Rosen-Zvi:
The Case of Missed Cancers: Applying AI as a Radiologist's Safety Net. 220-229 - Yue Liu, Hossein Azizpour, Fredrik Strand, Kevin Smith:
Decoupling Inherent Risk and Early Cancer Signs in Image-Based Breast Cancer Risk Models. 230-240 - Maria V. Sainz de Cea, Karl Diedrich, Ran Bakalo, Lior Ness, David Richmond:
Multi-task Learning for Detection and Classification of Cancer in Screening Mammography. 241-250
Colonoscopy
- Ruifei Zhang, Guanbin Li, Zhen Li, Shuguang Cui, Dahong Qian, Yizhou Yu:
Adaptive Context Selection for Polyp Segmentation. 253-262 - Deng-Ping Fan, Ge-Peng Ji, Tao Zhou, Geng Chen, Huazhu Fu, Jianbing Shen, Ling Shao:
PraNet: Parallel Reverse Attention Network for Polyp Segmentation. 263-273 - Yu Tian, Gabriel Maicas, Leonardo Zorron Cheng Tao Pu, Rajvinder Singh, Johan W. Verjans, Gustavo Carneiro:
Few-Shot Anomaly Detection for Polyp Frames from Colonoscopy. 274-284 - Jiafu Zhong, Wei Wang, Huisi Wu, Zhenkun Wen, Jing Qin:
PolypSeg: An Efficient Context-Aware Network for Polyp Segmentation from Colonoscopy Videos. 285-294 - Juana González-Bueno Puyal, Kanwal K. Bhatia, Patrick Brandao, Omer F. Ahmad, Daniel Toth, Rawen Kader, Laurence B. Lovat, Peter Mountney, Danail Stoyanov:
Endoscopic Polyp Segmentation Using a Hybrid 2D/3D CNN. 295-305
Dermatology
- Stefan Gerl, Johannes C. Paetzold, Hailong He, Ivan Ezhov, Suprosanna Shit, Florian Kofler, Amirhossein Bayat, Giles Tetteh, Vasilis Ntziachristos, Bjoern H. Menze:
A Distance-Based Loss for Smooth and Continuous Skin Layer Segmentation in Optoacoustic Images. 309-319 - Newton M. Kinyanjui, Timothy Odonga, Celia Cintas, Noel C. F. Codella, Rameswar Panda, Prasanna Sattigeri, Kush R. Varshney:
Fairness of Classifiers Across Skin Tones in Dermatology. 320-329 - Wei Zhu, Haofu Liao, Wenbin Li, Weijian Li, Jiebo Luo:
Alleviating the Incompatibility Between Cross Entropy Loss and Episode Training for Few-Shot Skin Disease Classification. 330-339 - Zihao Liu, Ruiqin Xiong, Tingting Jiang:
Clinical-Inspired Network for Skin Lesion Recognition. 340-350 - Zihao Liu, Haihao Pan, Chen Gong, Zejia Fan, Yujie Wen, Tingting Jiang, Ruiqin Xiong, Hang Li, Yang Wang:
Multi-class Skin Lesion Segmentation for Cutaneous T-cell Lymphomas on High-Resolution Clinical Images. 351-361
Fetal Imaging
- Gal Dudovitch, Daphna Link-Sourani, Liat Ben-Sira, Elka Miller, Dafna Ben-Bashat, Leo Joskowicz:
Deep Learning Automatic Fetal Structures Segmentation in MRI Scans with Few Annotated Datasets. 365-374 - Paddy J. Slator, Jana Hutter, Razvan V. Marinescu, Marco Palombo, Laurence H. Jackson, Alison Ho, Lucy C. Chappell, Mary A. Rutherford, Joseph V. Hajnal, Daniel C. Alexander:
Data-Driven Multi-contrast Spectral Microstructure Imaging with InSpect. 375-385 - Junshen Xu, Sayeri Lala, Borjan A. Gagoski, Esra Abaci Turk, Patricia Ellen Grant, Polina Golland, Elfar Adalsteinsson:
Semi-supervised Learning for Fetal Brain MRI Quality Assessment with ROI Consistency. 386-395 - Molin Zhang, Junshen Xu, Esra Abaci Turk, Patricia Ellen Grant, Polina Golland, Elfar Adalsteinsson:
Enhanced Detection of Fetal Pose in 3D MRI by Deep Reinforcement Learning with Physical Structure Priors on Anatomy. 396-405 - Minghong Zhou, Chao Yuan, Zhaoshi Chen, Chuan Wang, Yaosheng Lu:
Automatic Angle of Progress Measurement of Intrapartum Transperineal Ultrasound Image with Deep Learning. 406-414 - Lufan Liao, Xin Zhang, Fenqiang Zhao, Tao Zhong, Yuchen Pei, Xiangmin Xu, Li Wang, He Zhang, Dinggang Shen, Gang Li:
Joint Image Quality Assessment and Brain Extraction of Fetal MRI Using Deep Learning. 415-424
Heart and Lung Imaging
- Haikun Qi, Niccolo Fuin, Thomas Küstner, René M. Botnar, Claudia Prieto:
Accelerated 4D Respiratory Motion-Resolved Cardiac MRI with a Model-Based Variational Network. 427-435 - Hanchao Yu, Xiao Chen, Humphrey Shi, Terrence Chen, Thomas S. Huang, Shanhui Sun:
Motion Pyramid Networks for Accurate and Efficient Cardiac Motion Estimation. 436-446 - Tianchen Wang, Xiaowei Xu, Jinjun Xiong, Qianjun Jia, Haiyun Yuan, Meiping Huang, Jian Zhuang, Yiyu Shi:
ICA-UNet: ICA Inspired Statistical UNet for Real-Time 3D Cardiac Cine MRI Segmentation. 447-457 - Yue Zhang, Abdoul-aziz Amadou, Ingmar Voigt, Viorel Mihalef, Helene Houle, Matthias John, Tommaso Mansi, Rui Liao:
A Bottom-Up Approach for Real-Time Mitral Valve Annulus Modeling on 3D Echo Images. 458-467 - Kevinminh Ta, Shawn S. Ahn, John C. Stendahl, Albert J. Sinusas, James S. Duncan:
A Semi-supervised Joint Network for Simultaneous Left Ventricular Motion Tracking and Segmentation in 4D Echocardiography. 468-477 - Jaume Banus, Maxime Sermesant, Oscar Camara, Marco Lorenzi:
Joint Data Imputation and Mechanistic Modelling for Simulating Heart-Brain Interactions in Incomplete Datasets. 478-486 - Xiajun Jiang, Sandesh Ghimire, Jwala Dhamala, Zhiyuan Li, Prashnna Kumar Gyawali, Linwei Wang:
Learning Geometry-Dependent and Physics-Based Inverse Image Reconstruction. 487-496 - Jiancheng Yang, Mingze Gao, Kaiming Kuang, Bingbing Ni, Yunlang She, Dong Xie, Chang Chen:
Hierarchical Classification of Pulmonary Lesions: A Large-Scale Radio-Pathomics Study. 497-507 - Yamin Li, Jiancheng Yang, Yi Xu, Jingwei Xu, Xiaodan Ye, Guangyu Tao, Xueqian Xie, Guixue Liu:
Learning Tumor Growth via Follow-Up Volume Prediction for Lung Nodules. 508-517 - Qiuyue Liu, Zhen Zhou, Feng Liu, Xiangming Fang, Yizhou Yu, Yizhou Wang:
Multi-stream Progressive Up-Sampling Network for Dense CT Image Reconstruction. 518-528 - Yifan Mao, Feifei Xue, Ruixuan Wang, Jianguo Zhang, Wei-Shi Zheng, Hongmei Liu:
Abnormality Detection in Chest X-Ray Images Using Uncertainty Prediction Autoencoders. 529-538 - Renato Hermoza, Gabriel Maicas, Jacinto C. Nascimento, Gustavo Carneiro:
Region Proposals for Saliency Map Refinement for Weakly-Supervised Disease Localisation and Classification. 539-549 - Tao Song, Jieneng Chen, Xiangde Luo, Yechong Huang, Xinglong Liu, Ning Huang, Yinan Chen, Zhaoxiang Ye, Huaqiang Sheng, Shaoting Zhang, Guotai Wang:
CPM-Net: A 3D Center-Points Matching Network for Pulmonary Nodule Detection in CT Scans. 550-559 - Yifan Wu, Jiancong Wang, William Lindsay, Tarmily Wen, Jianbo Shi, James C. Gee:
Interpretable Identification of Interstitial Lung Disease (ILD) Associated Findings from CT. 560-569 - Hanxiao Zhang, Yun Gu, Yulei Qin, Feng Yao, Guang-Zhong Yang:
Learning with Sure Data for Nodule-Level Lung Cancer Prediction. 570-578 - Cheng Xue, Qiao Deng, Xiaomeng Li, Qi Dou, Pheng-Ann Heng:
Cascaded Robust Learning at Imperfect Labels for Chest X-ray Segmentation. 579-588 - Qiuli Wang, Xingpeng Zhang, Wei Chen, Kun Wang, Xiaohong Zhang:
Class-Aware Multi-window Adversarial Lung Nodule Synthesis Conditioned on Semantic Features. 589-598 - Ilia Kravets, Tal Heletz, Hayit Greenspan:
Nodule2vec: A 3D Deep Learning System for Pulmonary Nodule Retrieval Using Semantic Representation. 599-608 - Jingya Liu, Liangliang Cao, Yingli Tian:
Deep Active Learning for Effective Pulmonary Nodule Detection. 609-618
Musculoskeletal Imaging
- Ping Gong, Zihao Yin, Yizhou Wang, Yizhou Yu:
Towards Robust Bone Age Assessment: Rethinking Label Noise and Ambiguity. 621-630 - Dong Wang, Kexin Zhang, Jia Ding, Liwei Wang:
Improve Bone Age Assessment by Learning from Anatomical Local Regions. 631-640 - Stefan Reinhold, Timo Damm, Sebastian Büsse, Stanislav N. Gorb, Claus Christian Glüer, Reinhard Koch:
An Analysis by Synthesis Method that Allows Accurate Spatial Modeling of Thickness of Cortical Bone from Clinical QCT. 641-651 - Jiawei Huang, Haotian Shen, Bo Chen, Yue Wang, Shuo Li:
Segmentation of Paraspinal Muscles at Varied Lumbar Spinal Levels by Explicit Saliency-Aware Learning. 652-661 - Byeonguk Bae, Jaewon Lee, Seo Taek Kong, Jinkyeong Sung, Kyu-Hwan Jung:
Manifold Ordinal-Mixup for Ordered Classes in TW3-Based Bone Age Assessment. 662-670 - Florian Kordon, Andreas K. Maier, Benedict Swartman, Maxim Privalov, Jan Siad El Barbari, Holger Kunze:
Contour-Based Bone Axis Detection for X-Ray Guided Surgery on the Knee. 671-680 - Naoto Masuzawa, Yoshiro Kitamura, Keigo Nakamura, Satoshi Iizuka, Edgar Simo-Serra:
Automatic Segmentation, Localization, and Identification of Vertebrae in 3D CT Images Using Cascaded Convolutional Neural Networks. 681-690 - Shen Zhao, Bin Chen, Heyou Chang, Xi Wu, Shuo Li:
Discriminative Dictionary-Embedded Network for Comprehensive Vertebrae Tumor Diagnosis. 691-701 - Heyou Chang, Shen Zhao, Hao Zheng, Yang Chen, Shuo Li:
Multi-vertebrae Segmentation from Arbitrary Spine MR Images Under Global View. 702-711 - Rhydian Windsor, Amir Jamaludin, Timor Kadir, Andrew Zisserman:
A Convolutional Approach to Vertebrae Detection and Labelling in Whole Spine MRI. 712-722 - Maxim Pisov, Vladimir Kondratenko, Alexey Zakharov, Alexey Petraikin, Victor Gombolevskiy, Sergey Morozov, Mikhail Belyaev:
Keypoints Localization for Joint Vertebra Detection and Fracture Severity Quantification. 723-732 - Malek El Husseini, Anjany Sekuboyina, Maximilian Löffler, Fernando Navarro, Bjoern H. Menze, Jan S. Kirschke:
Grading Loss: A Fracture Grade-Based Metric Loss for Vertebral Fracture Detection. 733-742 - David Chettrit, Tomer Meir, Hila Lebel, Mila Orlovsky, Ronen Gordon, Ayelet Akselrod-Ballin, Amir Bar:
3D Convolutional Sequence to Sequence Model for Vertebral Compression Fractures Identification in CT. 743-752 - Cristina González, María Escobar, Laura Alexandra Daza, Felipe Torres, Gustavo Triana, Pablo Arbeláez:
SIMBA: Specific Identity Markers for Bone Age Assessment. 753-763 - Jintai Chen, Bohan Yu, Biwen Lei, Ruiwei Feng, Danny Z. Chen, Jian Wu:
Doctor Imitator: A Graph-Based Bone Age Assessment Framework Using Hand Radiographs. 764-774 - Amirhossein Bayat, Anjany Sekuboyina, Johannes C. Paetzold, Christian Payer, Darko Stern, Martin Urschler, Jan S. Kirschke, Bjoern H. Menze:
Inferring the 3D Standing Spine Posture from 2D Radiographs. 775-784 - Emmanuel Iarussi, Felix Sebastian Leo Thomsen, Claudio Delrieux:
Generative Modelling of 3D In-Silico Spongiosa with Controllable Micro-structural Parameters. 785-794 - Ahmed Z. Alsinan, Charles Rule, Michael Vives, Vishal M. Patel, Ilker Hacihaliloglu:
GAN-Based Realistic Bone Ultrasound Image and Label Synthesis for Improved Segmentation. 795-804 - Puyang Wang, Michael Vives, Vishal M. Patel, Ilker Hacihaliloglu:
Robust Bone Shadow Segmentation from 2D Ultrasound Through Task Decomposition. 805-814
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