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23rd MICCAI 2020: Lima, Peru - Part IV
- Anne L. Martel
, Purang Abolmaesumi
Medical Image Computing and Computer Assisted Intervention - MICCAI 2020 - 23rd International Conference, Lima, Peru, October 4-8, 2020, Proceedings, Part IV. Lecture Notes in Computer Science 12264, Springer 2020, ISBN 978-3-030-59718-4
Segmentation
- Jinzheng Cai, Ke Yan, Chi-Tung Cheng, Jing Xiao, Chien-Hung Liao, Le Lu, Adam P. Harrison
Deep Volumetric Universal Lesion Detection Using Light-Weight Pseudo 3D Convolution and Surface Point Regression. 3-13 - Julia Wolleb
DeScarGAN: Disease-Specific Anomaly Detection with Weak Supervision. 14-24 - Xiaohong Liu, Kai Wang, Ke Wang, Ting Chen, Kang Zhang, Guangyu Wang:
KISEG: A Three-Stage Segmentation Framework for Multi-level Acceleration of Chest CT Scans from COVID-19 Patients. 25-34 - Haichun Yang, Ruining Deng
CircleNet: Anchor-Free Glomerulus Detection with Circle Representation. 35-44 - Leo K. Tam, Xiaosong Wang
Weakly Supervised One-Stage Vision and Language Disease Detection Using Large Scale Pneumonia and Pneumothorax Studies. 45-55 - Thomas Boot, Humayun Irshad:
Diagnostic Assessment of Deep Learning Algorithms for Detection and Segmentation of Lesion in Mammographic Images. 56-65 - Jhih-Yuan Lin, Yu-Cheng Chang, Winston H. Hsu:
Efficient and Phase-Aware Video Super-Resolution for Cardiac MRI. 66-76 - Xiaowei Xu, Tianchen Wang, Jian Zhuang, Haiyun Yuan, Meiping Huang, Jianzheng Cen, Qianjun Jia, Yuhao Dong, Yiyu Shi:
ImageCHD: A 3D Computed Tomography Image Dataset for Classification of Congenital Heart Disease. 77-87 - Shuo Wang, Giacomo Tarroni, Chen Qin
Deep Generative Model-Based Quality Control for Cardiac MRI Segmentation. 88-97 - Shunjie Dong, Jinlong Zhao, Maojun Zhang, Zhengxue Shi, Jianing Deng, Yiyu Shi, Mei Tian, Cheng Zhuo:
DeU-Net: Deformable U-Net for 3D Cardiac MRI Video Segmentation. 98-107 - Feng Cheng, Cheng Chen, Yukang Wang
Learning Directional Feature Maps for Cardiac MRI Segmentation. 108-117 - Lei Li
Joint Left Atrial Segmentation and Scar Quantification Based on a DNN with Spatial Encoding and Shape Attention. 118-127 - Sina Amirrajab
XCAT-GAN for Synthesizing 3D Consistent Labeled Cardiac MR Images on Anatomically Variable XCAT Phantoms. 128-137 - Guohao Dong, Yaoxian Zou, Jiaming Jiao, Yuxi Liu, Shuo Liu, Tianzhu Liang, Chaoyue Liu, Zhijie Chen, Lei Zhu, Dong Ni, Muqing Lin:
TexNet: Texture Loss Based Network for Gastric Antrum Segmentation in Ultrasound. 138-145 - Rui Huang, Yuanjie Zheng, Zhiqiang Hu, Shaoting Zhang, Hongsheng Li
Multi-organ Segmentation via Co-training Weight-Averaged Models from Few-Organ Datasets. 146-155 - Chengliang Dai
Suggestive Annotation of Brain Tumour Images with Gradient-Guided Sampling. 156-165 - Jiajia Chu, Yajie Chen, Wei Zhou, Heshui Shi, Yukun Cao, Dandan Tu, Ri-Chu Jin
Pay More Attention to Discontinuity for Medical Image Segmentation. 166-175 - Youyi Song, Zhen Yu, Teng Zhou
Learning 3D Features with 2D CNNs via Surface Projection for CT Volume Segmentation. 176-186 - Jingkun Chen, Wenqi Li, Hongwei Li
Deep Class-Specific Affinity-Guided Convolutional Network for Multimodal Unpaired Image Segmentation. 187-196 - Zhuoying Li, Junquan Pan, Huisi Wu, Zhenkun Wen, Jing Qin
Memory-Efficient Automatic Kidney and Tumor Segmentation Based on Non-local Context Guided 3D U-Net. 197-206 - Seung Yeon Shin, Sungwon Lee, Daniel C. Elton, James L. Gulley, Ronald M. Summers:
Deep Small Bowel Segmentation with Cylindrical Topological Constraints. 207-215 - Biting Yu, Luping Zhou
Learning Sample-Adaptive Intensity Lookup Table for Brain Tumor Segmentation. 216-226 - Hang Li, Dong Wei, Shilei Cao, Kai Ma, Liansheng Wang, Yefeng Zheng
Superpixel-Guided Label Softening for Medical Image Segmentation. 227-237 - Xing Tao, Yuexiang Li, Wenhui Zhou
Revisiting Rubik's Cube: Self-supervised Learning with Volume-Wise Transformation for 3D Medical Image Segmentation. 238-248 - Tianwei Zhang, Lequan Yu
Robust Medical Image Segmentation from Non-expert Annotations with Tri-network. 249-258 - Benoît Audelan, Dimitri Hamzaoui, Sarah Montagne, Raphaële Renard-Penna, Hervé Delingette
Robust Fusion of Probability Maps. 259-268 - Marcus Nordström, Han Bao, Fredrik Löfman, Henrik Hult, Atsuto Maki, Masashi Sugiyama:
Calibrated Surrogate Maximization of Dice. 269-278 - Guotai Wang
Uncertainty-Guided Efficient Interactive Refinement of Fetal Brain Segmentation from Stacks of MRI Slices. 279-288 - Frederic Madesta
Widening the Focus: Biomedical Image Segmentation Challenges and the Underestimated Role of Patch Sampling and Inference Strategies. 289-298 - Udaranga Wickramasinghe, Edoardo Remelli, Graham Knott, Pascal Fua:
Voxel2Mesh: 3D Mesh Model Generation from Volumetric Data. 299-308 - Youyi Song, Teng Zhou
Unsupervised Learning for CT Image Segmentation via Adversarial Redrawing. 309-320 - Mo Zhang, Bin Dong, Quanzheng Li:
Deep Active Contour Network for Medical Image Segmentation. 321-331 - Luyan Liu, Kai Ma, Yefeng Zheng
Learning Crisp Edge Detector Using Logical Refinement Network. 332-341 - Qi Liu, Han Jiang, Tao Liu, Zihao Liu, Sicheng Li, Wujie Wen, Yiyu Shi:
Defending Deep Learning-Based Biomedical Image Segmentation from Adversarial Attacks: A Low-Cost Frequency Refinement Approach. 342-351 - Yanda Meng
CNN-GCN Aggregation Enabled Boundary Regression for Biomedical Image Segmentation. 352-362 - Jeya Maria Jose Valanarasu, Vishwanath A. Sindagi, Ilker Hacihaliloglu, Vishal M. Patel:
KiU-Net: Towards Accurate Segmentation of Biomedical Images Using Over-Complete Representations. 363-373 - Wentao Zhu, Can Zhao, Wenqi Li, Holger Roth, Ziyue Xu, Daguang Xu:
LAMP: Large Deep Nets with Automated Model Parallelism for Image Segmentation. 374-384 - Grzegorz Jacenków
INSIDE: Steering Spatial Attention with Non-imaging Information in CNNs. 385-395 - Haomiao Ni, Yuan Xue
SiamParseNet: Joint Body Parsing and Label Propagation in Infant Movement Videos. 396-405 - Zihao Liu, Sicheng Li, Yen-Kuang Chen, Tao Liu, Qi Liu, Xiaowei Xu, Yiyu Shi, Wujie Wen:
Orchestrating Medical Image Compression and Remote Segmentation Networks. 406-416 - Han Li, Hu Han
Bounding Maps for Universal Lesion Detection. 417-428 - Shaocong Mo, Ming Cai, Lanfen Lin, Ruofeng Tong, Qingqing Chen, Fang Wang, Hongjie Hu, Yutaro Iwamoto, Xian-Hua Han, Yen-Wei Chen:
Multimodal Priors Guided Segmentation of Liver Lesions in MRI Using Mutual Information Based Graph Co-Attention Networks. 429-438 - Yanan Ruan, Dengwang Li, Harry Marshall, Timothy Miao, Tyler Cossetto, Ian Chan
Mt-UcGAN: Multi-task Uncertainty-Constrained GAN for Joint Segmentation, Quantification and Uncertainty Estimation of Renal Tumors on CT. 439-449 - Hao Zheng, Zhiguo Zhuang, Yulei Qin
Weakly Supervised Deep Learning for Breast Cancer Segmentation with Coarse Annotations. 450-459 - Xixi Jiang, Qingqing Luo, Zhiwei Wang, Tao Mei, Yu Wen, Xin Li, Kwang-Ting Cheng
Multi-phase and Multi-level Selective Feature Fusion for Automated Pancreas Segmentation from CT Images. 460-469 - Xuanang Xu
Asymmetrical Multi-task Attention U-Net for the Segmentation of Prostate Bed in CT Image. 470-479 - Haozhe Jia
Learning High-Resolution and Efficient Non-local Features for Brain Glioma Segmentation in MR Images. 480-490 - Ling Zhang
Robust Pancreatic Ductal Adenocarcinoma Segmentation with Multi-institutional Multi-phase Partially-Annotated CT Scans. 491-500 - Hristina Uzunova, Jan Ehrhardt, Heinz Handels
Generation of Annotated Brain Tumor MRIs with Tumor-induced Tissue Deformations for Training and Assessment of Neural Networks. 501-511 - Youbao Tang, Yuxing Tang, Yingying Zhu, Jing Xiao, Ronald M. Summers:
E2Net: An Edge Enhanced Network for Accurate Liver and Tumor Segmentation on CT Scans. 512-522 - Boris Shirokikh
Universal Loss Reweighting to Balance Lesion Size Inequality in 3D Medical Image Segmentation. 523-532 - Tongxue Zhou
Brain Tumor Segmentation with Missing Modalities via Latent Multi-source Correlation Representation. 533-541 - Shu Zhang, Jincheng Xu, Yu-Chun Chen, Jiechao Ma
Revisiting 3D Context Modeling with Supervised Pre-training for Universal Lesion Detection in CT Slices. 542-551 - Christoph Baur, Benedikt Wiestler
Scale-Space Autoencoders for Unsupervised Anomaly Segmentation in Brain MRI. 552-561 - Jiancheng Yang
AlignShift: Bridging the Gap of Imaging Thickness in 3D Anisotropic Volumes. 562-572 - Youbao Tang, Ke Yan, Jing Xiao, Ronald M. Summers:
One Click Lesion RECIST Measurement and Segmentation on CT Scans. 573-583 - Francesco La Rosa
Automated Detection of Cortical Lesions in Multiple Sclerosis Patients with 7T MRI. 584-593 - Xin Yu, Bin Lou
Deep Attentive Panoptic Model for Prostate Cancer Detection Using Biparametric MRI Scans. 594-604
Shape Models and Landmark Detection
- Tao Liu, Yun Tian, Shifeng Zhao, Xiaoying Huang:
Graph Reasoning and Shape Constraints for Cardiac Segmentation in Congenital Heart Defect. 607-616 - Martin Hanik
Nonlinear Regression on Manifolds for Shape Analysis using Intrinsic Bézier Splines. 617-626 - Riddhish Bhalodia, Ladislav Kavan, Ross T. Whitaker:
Self-supervised Discovery of Anatomical Shape Landmarks. 627-638 - Youyi Song, Lei Zhu, Baiying Lei, Bin Sheng, Qi Dou, Jing Qin
Shape Mask Generator: Learning to Refine Shape Priors for Segmenting Overlapping Cervical Cytoplasms. 639-649 - Shaheer U. Saeed
Prostate Motion Modelling Using Biomechanically-Trained Deep Neural Networks on Unstructured Nodes. 650-659 - Yanhao Zhang, Raphael Falque
Deep Learning Assisted Automatic Intra-operative 3D Aortic Deformation Reconstruction. 660-669 - Wei Liu
Landmarks Detection with Anatomical Constraints for Total Hip Arthroplasty Preoperative Measurements. 670-679 - Zhao-Yang Wang, Xiao-Yun Zhou, Peichao Li, Celia Theodoreli-Riga, Guang-Zhong Yang:
Instantiation-Net: 3D Mesh Reconstruction from Single 2D Image for Right Ventricle. 680-691 - Qingsong Yao
Miss the Point: Targeted Adversarial Attack on Multiple Landmark Detection. 692-702 - Diya Sun, Yuru Pei, Peixin Li, Guangying Song, Yuke Guo, Hongbin Zha, Tianmin Xu:
Automatic Tooth Segmentation and Dense Correspondence of 3D Dental Model. 703-712 - Katharina Breininger
Move Over There: One-Click Deformation Correction for Image Fusion During Endovascular Aortic Repair. 713-723 - Micha Pfeiffer, Carina Riediger, Stefan Leger, Jens-Peter Kühn, Danilo Seppelt, Ralf-Thorsten Hoffmann, Jürgen Weitz, Stefanie Speidel
Non-Rigid Volume to Surface Registration Using a Data-Driven Biomechanical Model. 724-734 - Nazim Haouchine, Parikshit Juvekar
Deformation Aware Augmented Reality for Craniotomy Using 3D/2D Non-rigid Registration of Cortical Vessels. 735-744 - Jaesin Ahn, Hyun-Joo Lee, Inchul Choi, Minho Lee:
Skip-StyleGAN: Skip-Connected Generative Adversarial Networks for Generating 3D Rendered Image of Hand Bone Complex. 745-754 - Jean-Rassaire Fouefack
Dynamic Multi-object Gaussian Process Models. 755-764 - Matthias Wilms, Jan Ehrhardt, Nils D. Forkert:
A Kernelized Multi-level Localization Method for Flexible Shape Modeling with Few Training Data. 765-775 - Bente Thamsen
Unsupervised Learning and Statistical Shape Modeling of the Morphometry and Hemodynamics of Coarctation of the Aorta. 776-785 - Yonghui Fan, Yalin Wang
Convolutional Bayesian Models for Anatomical Landmarking on Multi-dimensional Shapes. 786-796 - Jesse Sun, Fatemeh Darbeha, Mark Zaidi, Bo Wang:
SAUNet: Shape Attentive U-Net for Interpretable Medical Image Segmentation. 797-806 - Chunfeng Lian, Fan Wang, Hannah H. Deng, Li Wang
Multi-task Dynamic Transformer Network for Concurrent Bone Segmentation and Large-Scale Landmark Localization with Dental CBCT. 807-816 - Yankun Lang, Chunfeng Lian, Deqiang Xiao, Hannah H. Deng, Peng Yuan, Jaime Gateno
Automatic Localization of Landmarks in Craniomaxillofacial CBCT Images Using a Local Attention-Based Graph Convolution Network. 817-826
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