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ORCID24th MICCAI 2021: Strasbourg, France - Part IV
- Marleen de Bruijne
, Philippe C. Cattin, Stéphane Cotin, Nicolas Padoy, Stefanie Speidel, Yefeng Zheng, Caroline Essert:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27 - October 1, 2021, Proceedings, Part VI. Lecture Notes in Computer Science 12906, Springer 2021, ISBN 978-3-030-87230-4
Image Reconstruction
- Zhiyang Lu, Zheng Li, Jun Wang, Jun Shi, Dinggang Shen:
Two-Stage Self-supervised Cycle-Consistency Network for Reconstruction of Thin-Slice MR Images. 3-12 - Pengfei Guo, Jeya Maria Jose Valanarasu, Puyang Wang, Jinyuan Zhou, Shanshan Jiang, Vishal M. Patel:
Over-and-Under Complete Convolutional RNN for MRI Reconstruction. 13-23 - Junxiao Chen, Jia Wei, Rui Li:
TarGAN: Target-Aware Generative Adversarial Networks for Multi-modality Medical Image Translation. 24-33 - Bo Zhou, Rui Wang, Ming-Kai Chen, Adam P. Mecca, Ryan S. O'Dell, Christopher H. van Dyck, Richard E. Carson, James S. Duncan, Chi Liu:
Synthesizing Multi-tracer PET Images for Alzheimer's Disease Patients Using a 3D Unified Anatomy-Aware Cyclic Adversarial Network. 34-43 - Hongxiang Lin, Yukun Zhou, Paddy J. Slator, Daniel C. Alexander:
Generalised Super Resolution for Quantitative MRI Using Self-supervised Mixture of Experts. 44-54 - Zhicheng Zhang, Lequan Yu, Xiaokun Liang, Wei Zhao, Lei Xing:
TransCT: Dual-Path Transformer for Low Dose Computed Tomography. 55-64 - Qing Wu, Yuwei Li, Lan Xu, Ruiming Feng, Hongjiang Wei, Qing Yang, Boliang Yu, Xiaozhao Liu, Jingyi Yu, Yuyao Zhang:
IREM: High-Resolution Magnetic Resonance Image Reconstruction via Implicit Neural Representation. 65-74 - Cheng Peng, S. Kevin Zhou, Rama Chellappa:
DA-VSR: Domain Adaptable Volumetric Super-Resolution for Medical Images. 75-85 - Ce Wang, Haimiao Zhang, Qian Li, Kun Shang, Yuanyuan Lyu, Bin Dong, S. Kevin Zhou:
Improving Generalizability in Limited-Angle CT Reconstruction with Sinogram Extrapolation. 86-96 - Liyan Sun, Hongyu Huang, Xinghao Ding, Yue Huang, Xiaoqing Liu, Yizhou Yu:
Fast Magnetic Resonance Imaging on Regions of Interest: From Sensing to Reconstruction. 97-106 - Hong Wang, Yuexiang Li, Haimiao Zhang, Jiawei Chen, Kai Ma, Deyu Meng, Yefeng Zheng:
InDuDoNet: An Interpretable Dual Domain Network for CT Metal Artifact Reduction. 107-118 - Kai Cheng, Yiting Ma, Bin Sun, Yang Li, Xuejin Chen:
Depth Estimation for Colonoscopy Images with Self-supervised Learning from Videos. 119-128 - Alan Q. Wang, Aaron K. LaViolette, Leo Moon, Chris Xu, Mert R. Sabuncu:
Joint Optimization of Hadamard Sensing and Reconstruction in Compressed Sensing Fluorescence Microscopy. 129-139 - Chun-Mei Feng, Huazhu Fu, Shuhao Yuan, Yong Xu:
Multi-contrast MRI Super-Resolution via a Multi-stage Integration Network. 140-149 - Yunlong Zhang, Chenxin Li, Xin Lin, Liyan Sun, Yihong Zhuang, Yue Huang, Xinghao Ding, Xiaoqing Liu, Yizhou Yu:
Generator Versus Segmentor: Pseudo-healthy Synthesis. 150-160 - Yilin Liu, Yong Chen, Pew-Thian Yap:
Real-Time Mapping of Tissue Properties for Magnetic Resonance Fingerprinting. 161-170 - Nazim Haouchine, Parikshit Juvekar, Xin Xiong, Jie Luo, Tina Kapur, Rose Du, Alexandra J. Golby, Sarah F. Frisken:
Estimation of High Framerate Digital Subtraction Angiography Sequences at Low Radiation Dose. 171-180 - Changyeop Shin, Hyun Ryu, Eun-Seo Cho, Young-Gyu Yoon:
RLP-Net: A Recursive Light Propagation Network for 3-D Virtual Refocusing. 181-190 - Khoi Minh Huynh, Wei-Tang Chang, Sang Hun Chung, Yong Chen, Yueh Lee, Pew-Thian Yap:
Noise Mapping and Removal in Complex-Valued Multi-Channel MRI via Optimal Shrinkage of Singular Values. 191-200 - Mingyuan Luo, Xin Yang, Xiaoqiong Huang, Yuhao Huang, Yuxin Zou, Xindi Hu, Nishant Ravikumar, Alejandro F. Frangi, Dong Ni:
Self Context and Shape Prior for Sensorless Freehand 3D Ultrasound Reconstruction. 201-210 - Xinwen Liu, Jing Wang, Feng Liu, S. Kevin Zhou:
Universal Undersampled MRI Reconstruction. 211-221 - SeokHwan Oh, Myeong-Gee Kim, Youngmin Kim, Hyuksool Kwon, Hyeon-Min Bae:
A Neural Framework for Multi-variable Lesion Quantification Through B-Mode Style Transfer. 222-231 - Jinwei Zhang, Hang Zhang, Chao Li, Pascal Spincemaille, Mert R. Sabuncu, Thanh D. Nguyen, Yi Wang:
Temporal Feature Fusion with Sampling Pattern Optimization for Multi-echo Gradient Echo Acquisition and Image Reconstruction. 232-242 - Tao Wang, Wenjun Xia, Yongqiang Huang, Huaiqiang Sun, Yan Liu, Hu Chen, Jiliu Zhou, Yi Zhang:
Dual-Domain Adaptive-Scaling Non-local Network for CT Metal Artifact Reduction. 243-253 - Aleksandr Belov, Joël Valentin Stadelmann, Sergey Kastryulin, Dmitry V. Dylov:
Towards Ultrafast MRI via Extreme k-Space Undersampling and Superresolution. 254-264 - Hangfan Liu, Tanweer Rashid, Jeffrey B. Ware, Paul Jensen, Thomas Austin, Ilya M. Nasrallah, Robert B. Fisher, Susan R. Heckbert, Mohamad Habes:
Adaptive Squeeze-and-Shrink Image Denoising for Improving Deep Detection of Cerebral Microbleeds. 265-275 - Yanmei Luo, Yan Wang, Chen Zu, Bo Zhan, Xi Wu, Jiliu Zhou, Dinggang Shen, Luping Zhou:
3D Transformer-GAN for High-Quality PET Reconstruction. 276-285 - Qiaoqiao Ding, Hui Ji, Hao Gao, Xiaoqun Zhang:
Learnable Multi-scale Fourier Interpolation for Sparse View CT Image Reconstruction. 286-295 - Yuanyuan Lyu, Jiajun Fu, Cheng Peng, S. Kevin Zhou:
U-DuDoNet: Unpaired Dual-Domain Network for CT Metal Artifact Reduction. 296-306 - Chun-Mei Feng, Yunlu Yan, Huazhu Fu, Li Chen, Yong Xu:
Task Transformer Network for Joint MRI Reconstruction and Super-Resolution. 307-317 - Euijin Jung, Miguel Luna, Sanghyun Park:
Conditional GAN with an Attention-Based Generator and a 3D Discriminator for 3D Medical Image Generation. 318-328 - Xiao-Xin Li, Zhijie Chen, Xin-Jie Lou, Junwei Yang, Yong Chen, Dinggang Shen:
Multimodal MRI Acceleration via Deep Cascading Networks with Peer-Layer-Wise Dense Connections. 329-339 - Rosa Maza-Quiroga, Karl Thurnhofer-Hemsi, Domingo López-Rodríguez, Ezequiel López-Rubio:
Rician Noise Estimation for 3D Magnetic Resonance Images Based on Benford's Law. 340-349 - Marius Arvinte, Sriram Vishwanath, Ahmed H. Tewfik, Jonathan I. Tamir:
Deep J-Sense: Accelerated MRI Reconstruction via Unrolled Alternating Optimization. 350-360 - Xiajun Jiang, Ryan Missel, Maryam Toloubidokhti, Zhiyuan Li, Omar Gharbia, John L. Sapp, Linwei Wang:
Label-Free Physics-Informed Image Sequence Reconstruction with Disentangled Spatial-Temporal Modeling. 361-371 - Yi Zhou, Jiang Li, Meng Wang, Weifang Zhu, Yuanyuan Peng, Zhongyue Chen, Lianyu Wang, Tingting Wang, Chenpu Yao, Ting Wang, Xinjian Chen:
High-Resolution Hierarchical Adversarial Learning for OCT Speckle Noise Reduction. 372-381 - Chen Hu, Cheng Li, Haifeng Wang, Qiegen Liu, Hairong Zheng, Shanshan Wang:
Self-supervised Learning for MRI Reconstruction with a Parallel Network Training Framework. 382-391 - Sudhanya Chatterjee, Suresh Emmanuel Joel, Ramesh Venkatesan, Dattesh Dayanand Shanbhag:
Acceleration by Deep-Learnt Sharing of Superfluous Information in Multi-contrast MRI. 392-401 - Sungho Suh, Sojeong Cheon, Dong-Jin Chang, Deukhee Lee, Yong Oh Lee:
Sequential Lung Nodule Synthesis Using Attribute-Guided Generative Adversarial Networks. 402-411 - Yinran Chen, Jing Liu, Jianwen Luo, Xiongbiao Luo:
A Data-Driven Approach for High Frame Rate Synthetic Transmit Aperture Ultrasound Imaging. 412-420 - Evaggelia Tsiligianni, Matina Zerva, Iman Marivani, Nikos Deligiannis, Lisimachos P. Kondi:
Interpretable Deep Learning for Multimodal Super-Resolution of Medical Images. 421-429 - Yao Sui, Onur Afacan, Ali Gholipour, Simon K. Warfield:
MRI Super-Resolution Through Generative Degradation Learning. 430-440 - Jiajin Zhang, Hanqing Chao, Xuanang Xu, Chuang Niu, Ge Wang, Pingkun Yan:
Task-Oriented Low-Dose CT Image Denoising. 441-450 - Christophe Chênes, Jérôme Schmid:
Revisiting Contour-Driven and Knowledge-Based Deformable Models: Application to 2D-3D Proximal Femur Reconstruction from X-ray Images. 451-460 - Ke Wang, Michael R. Kellman, Christopher M. Sandino, Kevin Zhang, Shreyas S. Vasanawala, Jonathan I. Tamir, Stella X. Yu, Michael Lustig:
Memory-Efficient Learning for High-Dimensional MRI Reconstruction. 461-470 - Hajar Emami, Ming Dong, Siamak P. Nejad-Davarani, Carri K. Glide-Hurst:
SA-GAN: Structure-Aware GAN for Organ-Preserving Synthetic CT Generation. 471-481
Clinical Applications - Cardiac
- Daniel H. Pak, Minliang Liu, Theodore Kim, Liang Liang, Raymond McKay, Wei Sun, James S. Duncan:
Distortion Energy for Deep Learning-Based Volumetric Finite Element Mesh Generation for Aortic Valves. 485-494 - Hadrien Reynaud, Athanasios Vlontzos, Benjamin Hou, Arian Beqiri, Paul Leeson, Bernhard Kainz:
Ultrasound Video Transformers for Cardiac Ejection Fraction Estimation. 495-505 - Tianchen Wang, Zhihe Li, Meiping Huang, Jian Zhuang, Shanshan Bi, Jiawei Zhang, Yiyu Shi, Hongwen Fei, Xiaowei Xu:
EchoCP: An Echocardiography Dataset in Contrast Transthoracic Echocardiography for Patent Foramen Ovale Diagnosis. 506-515 - Xinghua Ma, Gongning Luo, Wei Wang, Kuanquan Wang:
Transformer Network for Significant Stenosis Detection in CCTA of Coronary Arteries. 516-525 - Dong Wei, Kai Ma, Yefeng Zheng:
Training Automatic View Planner for Cardiac MR Imaging via Self-supervision by Spatial Relationship Between Views. 526-536 - Josquin Harrison, Marco Lorenzi, Benoit Legghe, Xavier Iriart, Hubert Cochet, Maxime Sermesant:
Phase-Independent Latent Representation for Cardiac Shape Analysis. 537-546 - Lide Mu, Huafeng Liu:
Cardiac Transmembrane Potential Imaging with GCN Based Iterative Soft Threshold Network. 547-556 - Lei Li, Veronika A. Zimmer, Julia A. Schnabel, Xiahai Zhuang:
AtrialGeneral: Domain Generalization for Left Atrial Segmentation of Multi-center LGE MRIs. 557-566 - Ricardo A. Gonzales, Jérôme Lamy, Felicia Seemann, Einar Heiberg, John A. Onofrey, Dana C. Peters:
TVnet: Automated Time-Resolved Tracking of the Tricuspid Valve Plane in MRI Long-Axis Cine Images with a Dual-Stage Deep Learning Pipeline. 567-576
Clinical Applications - Vascular
- Li Chen, Wenjin Liu, Niranjan Balu, Mahmud Mossa-Basha, Thomas S. Hatsukami, Jenq-Neng Hwang, Chun Yuan:
Deep Open Snake Tracker for Vessel Tracing. 579-589 - Zewen Liu, Timothy F. Cootes:
MASC-Units: Training Oriented Filters for Segmenting Curvilinear Structures. 590-599 - Rui-Qi Li, Gui-Bin Bian, Xiao-Hu Zhou, Xiaoliang Xie, Zhen-Liang Ni, Yan-Jie Zhou, Yuhan Wang, Zengguang Hou:
Vessel Width Estimation via Convolutional Regression. 600-610 - Rudan Xiao, Eric Debreuve, Damien Ambrosetti, Xavier Descombes:
Renal Cell Carcinoma Classification from Vascular Morphology. 611-621
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