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ORCID25th MICCAI 2022: Singapore - Part IV
- Linwei Wang, Qi Dou
, P. Thomas Fletcher, Stefanie Speidel, Shuo Li:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2022 - 25th International Conference, Singapore, September 18-22, 2022, Proceedings, Part VI. Lecture Notes in Computer Science 13436, Springer 2022, ISBN 978-3-031-16445-3
Image Registration
- Junshen Xu, Daniel Moyer, Patricia Ellen Grant, Polina Golland, Juan Eugenio Iglesias, Elfar Adalsteinsson:
SVoRT: Iterative Transformer for Slice-to-Volume Registration in Fetal Brain MRI. 3-13 - Zhe Xu, Jie Luo, Donghuan Lu, Jiangpeng Yan, Sarah F. Frisken, Jayender Jagadeesan, William M. Wells III, Xiu Li, Yefeng Zheng, Raymond Kai-Yu Tong:
Double-Uncertainty Guided Spatial and Temporal Consistency Regularization Weighting for Learning-Based Abdominal Registration. 14-24 - Tony C. W. Mok, Albert C. S. Chung:
Unsupervised Deformable Image Registration with Absent Correspondences in Pre-operative and Post-recurrence Brain Tumor MRI Scans. 25-35 - Jie Luo, Guangshen Ma, Nazim Haouchine, Zhe Xu, Yixin Wang, Tina Kapur, Lipeng Ning, William M. Wells III, Sarah F. Frisken:
On the Dataset Quality Control for Image Registration Evaluation. 36-45 - Xiongchao Chen, Bo Zhou, Huidong Xie, Xueqi Guo, Jiazhen Zhang, Albert J. Sinusas, John A. Onofrey, Chi Liu:
Dual-Branch Squeeze-Fusion-Excitation Module for Cross-Modality Registration of Cardiac SPECT and CT. 46-55 - Huaqi Qiu, Kerstin Hammernik, Chen Qin, Chen Chen, Daniel Rueckert:
Embedding Gradient-Based Optimization in Image Registration Networks. 56-65 - Neel Dey, Jo Schlemper, Seyed Sadegh Mohseni Salehi, Bo Zhou, Guido Gerig, Michal Sofka:
ContraReg: Contrastive Learning of Multi-modality Unsupervised Deformable Image Registration. 66-77 - Yongpei Zhu, Shi Lu:
Swin-VoxelMorph: A Symmetric Unsupervised Learning Model for Deformable Medical Image Registration Using Swin Transformer. 78-87 - Mingyuan Meng, Lei Bi, Dagan Feng, Jinman Kim:
Non-iterative Coarse-to-Fine Registration Based on Single-Pass Deep Cumulative Learning. 88-97 - Zhehua Mao, Liang Zhao, Shoudong Huang, Yiting Fan, Alex Pui-Wai Lee:
DSR: Direct Simultaneous Registration for Multiple 3D Images. 98-107 - Aline Sindel, Bettina Hohberger, Andreas K. Maier, Vincent Christlein:
Multi-modal Retinal Image Registration Using a Keypoint-Based Vessel Structure Aligning Network. 108-118 - Mohamed A. Suliman, Logan Z. J. Williams, Abdulah Fawaz, Emma C. Robinson:
A Deep-Discrete Learning Framework for Spherical Surface Registration. 119-129 - Riccardo Taiello, Melek Önen, Olivier Humbert, Marco Lorenzi:
Privacy Preserving Image Registration. 130-140 - Jiashun Chen, Donghuan Lu, Yu Zhang, Dong Wei, Munan Ning, Xinyu Shi, Zhe Xu, Yefeng Zheng:
Deformer: Towards Displacement Field Learning for Unsupervised Medical Image Registration. 141-151 - Amaury Leroy, Marvin Lerousseau, Théophraste Henry, Alexandre Cafaro, Nikos Paragios, Vincent Grégoire, Eric Deutsch:
End-to-End Multi-Slice-to-Volume Concurrent Registration and Multimodal Generation. 152-162 - Fenqiang Zhao, Zhengwang Wu, Li Wang, Weili Lin, Gang Li:
Fast Spherical Mapping of Cortical Surface Meshes Using Deep Unsupervised Learning. 163-173 - Qi Zeng, Shahed K. Mohammed, Emily H. T. Pang, Caitlin Schneider, Mohammad Honarvar, Julio Lobo, Changhong Hu, James Jago, Gary C. Ng, Robert Rohling, Septimiu E. Salcudean:
Learning-Based US-MR Liver Image Registration with Spatial Priors. 174-184 - Takanori Asanomi, Kazuya Nishimura, Heon Song, Junya Hayashida, Hiroyuki Sekiguchi, Takayuki Yagi, Imari Sato, Ryoma Bise:
Unsupervised Deep Non-rigid Alignment by Low-Rank Loss and Multi-input Attention. 185-195 - Wen Tang, Han Kang, Haoyue Zhang, Pengxin Yu, Corey W. Arnold, Rongguo Zhang:
Transformer Lesion Tracker. 196-206 - Lin Tian, Yueh Z. Lee, Raúl San José Estépar, Marc Niethammer:
LiftReg: Limited Angle 2D/3D Deformable Registration. 207-216 - Jiacheng Shi, Yuting He, Youyong Kong, Jean-Louis Coatrieux, Huazhong Shu, Guanyu Yang, Shuo Li:
XMorpher: Full Transformer for Deformable Medical Image Registration via Cross Attention. 217-226 - Bailiang Jian, Mohammad Farid Azampour, Francesca De Benetti, Johannes Oberreuter, Christina Bukas, Alexandra S. Gersing, Sarah C. Foreman, Anna-Sophia Dietrich, Jon Rischewski, Jan S. Kirschke, Nassir Navab, Thomas Wendler:
Weakly-Supervised Biomechanically-Constrained CT/MRI Registration of the Spine. 227-236 - Ziyi Shen, Qianye Yang, Yuming Shen, Francesco Giganti, Vasilis Stavrinides, Richard E. Fan, Caroline M. Moore, Mirabela Rusu, Geoffrey A. Sonn, Philip H. S. Torr, Dean C. Barratt, Yipeng Hu:
Collaborative Quantization Embeddings for Intra-subject Prostate MR Image Registration. 237-247 - Qingjie Meng, Wenjia Bai, Tianrui Liu, Declan P. O'Regan, Daniel Rueckert:
Mesh-Based 3D Motion Tracking in Cardiac MRI Using Deep Learning. 248-258 - Ding Xia, Xi Yang, Oliver van Kaick, Taichi Kin, Takeo Igarashi:
Data-Driven Multi-modal Partial Medical Image Preregistration by Template Space Patch Mapping. 259-268 - Viktoria Markova, Matteo Ronchetti, Wolfgang Wein, Oliver Zettinig, Raphael Prevost:
Global Multi-modal 2D/3D Registration via Local Descriptors Learning. 269-279 - Alexander Bigalke, Lasse Hansen, Mattias P. Heinrich:
Adapting the Mean Teacher for Keypoint-Based Lung Registration Under Geometric Domain Shifts. 280-290 - Changchun Yang, Yidong Zhao, Lu Huang, Liming Xia, Qian Tao:
DisQ: Disentangling Quantitative MRI Mapping of the Heart. 291-300 - Fenja Falta, Lasse Hansen, Mattias P. Heinrich:
Learning Iterative Optimisation for Deformable Image Registration of Lung CT with Recurrent Convolutional Networks. 301-309 - Kunzi Xie, Yixing Yang, Maurice Pagnucco, Yang Song:
Electron Microscope Image Registration Using Laplacian Sharpening Transformer U-Net. 310-319
Image Reconstruction
- Xinwen Liu, Jing Wang, Cheng Peng, Shekhar S. Chandra, Feng Liu, S. Kevin Zhou:
Undersampled MRI Reconstruction with Side Information-Guided Normalisation. 323-333 - Xuanyu Tian, Qing Wu, Hongjiang Wei, Yuyao Zhang:
Noise2SR: Learning to Denoise from Super-Resolved Single Noisy Fluorescence Image. 334-343 - Pengxin Yu, Haoyue Zhang, Han Kang, Wen Tang, Corey W. Arnold, Rongguo Zhang:
RPLHR-CT Dataset and Transformer Baseline for Volumetric Super-Resolution from CT Scans. 344-353 - Wanyu Bian, Qingchao Zhang, Xiaojing Ye, Yunmei Chen:
A Learnable Variational Model for Joint Multimodal MRI Reconstruction and Synthesis. 354-364 - Ekaterina Kuzmina, Artem Razumov, Oleg Y. Rogov, Elfar Adalsteinsson, Jacob White, Dmitry V. Dylov:
Autofocusing+: Noise-Resilient Motion Correction in Magnetic Resonance Imaging. 365-375 - Xiaofeng Liu, Fangxu Xing, Jerry L. Prince, Jiachen Zhuo, Maureen Stone, Georges El Fakhri, Jonghye Woo:
Tagged-MRI Sequence to Audio Synthesis via Self Residual Attention Guided Heterogeneous Translator. 376-386 - Beomgu Kang, Hye-Young Heo, HyunWook Park:
Only-Train-Once MR Fingerprinting for Magnetization Transfer Contrast Quantification. 387-396 - Xiaobin Hu, Ruolin Shen, Donghao Luo, Ying Tai, Chengjie Wang, Bjoern H. Menze:
AutoGAN-Synthesizer: Neural Architecture Search for Cross-Modality MRI Synthesis. 397-409 - Siyuan Dong, Gilbert Hangel, Wolfgang Bogner, Georg Widhalm, Karl Rössler, Siegfried Trattnig, Chenyu You, Robin A. de Graaf, John A. Onofrey, James S. Duncan:
Multi-scale Super-Resolution Magnetic Resonance Spectroscopic Imaging with Adjustable Sharpness. 410-420 - Stefano B. Blumberg, Hongxiang Lin, Francesco Grussu, Yukun Zhou, Matteo Figini, Daniel C. Alexander:
Progressive Subsampling for Oversampled Data - Application to Quantitative MRI. 421-431 - Yuning Gu, Yongsheng Pan, Zhenghan Fang, Jingyang Zhang, Peng Xue, Mianxin Liu, Yuran Zhu, Lei Ma, Charlie Androjna, Xin Yu, Dinggang Shen:
Deep-Learning Based T1 and T2 Quantification from Undersampled Magnetic Resonance Fingerprinting Data to Track Tracer Kinetics in Small Laboratory Animals. 432-441 - Ruyi Zha, Yanhao Zhang, Hongdong Li:
NAF: Neural Attenuation Fields for Sparse-View CBCT Reconstruction. 442-452 - Jiale Wang, Runze Wang, Rong Tao, Guoyan Zheng:
UASSR: Unsupervised Arbitrary Scale Super-Resolution Reconstruction of Single Anisotropic 3D Images via Disentangled Representation Learning. 453-462 - Guangyuan Li, Jun Lyu, Chengyan Wang, Qi Dou, Jing Qin:
WavTrans: Synergizing Wavelet and Cross-Attention Transformer for Multi-contrast MRI Super-Resolution. 463-473 - Jun Lyu, Bin Sui, Chengyan Wang, Yapeng Tian, Qi Dou, Jing Qin:
DuDoCAF: Dual-Domain Cross-Attention Fusion with Recurrent Transformer for Fast Multi-contrast MR Imaging. 474-484 - Yunkui Pang, Xu Chen, Yunzhi Huang, Pew-Thian Yap, Jun Lian:
Weakly Supervised MR-TRUS Image Synthesis for Brachytherapy of Prostate Cancer. 485-494 - Qingqiao Hu, Hongwei Li, Jianguo Zhang:
Domain-Adaptive 3D Medical Image Synthesis: An Efficient Unsupervised Approach. 495-504 - Agnieszka Tomczak, Aarushi Gupta, Slobodan Ilic, Nassir Navab, Shadi Albarqouni:
What Can We Learn About a Generated Image Corrupting Its Latent Representation? 505-515 - Pinxian Zeng, Luping Zhou, Chen Zu, Xinyi Zeng, Zhengyang Jiao, Xi Wu, Jiliu Zhou, Dinggang Shen, Yan Wang:
3D CVT-GAN: A 3D Convolutional Vision Transformer-GAN for PET Reconstruction. 516-526 - Yuchen Fei, Chen Zu, Zhengyang Jiao, Xi Wu, Jiliu Zhou, Dinggang Shen, Yan Wang:
Classification-Aided High-Quality PET Image Synthesis via Bidirectional Contrastive GAN with Shared Information Maximization. 527-537 - Jiahao Huang, Xiaodan Xing, Zhifan Gao, Guang Yang:
Swin Deformable Attention U-Net Transformer (SDAUT) for Explainable Fast MRI. 538-548 - Xinchen Ye, Zheng Sun, Rui Xu, Zhihui Wang, Haojie Li:
Low-Dose CT Reconstruction via Dual-Domain Learning and Controllable Modulation. 549-559 - Weihang Liao, Yinqiang Zheng, Hiroki Kajita, Kazuo Kishi, Imari Sato:
Graph-Based Compression of Incomplete 3D Photoacoustic Data. 560-570 - Ziqi Huang, Li Lin, Pujin Cheng, Kai Pan, Xiaoying Tang:
DS3-Net: Difficulty-Perceived Common-to-T1ce Semi-supervised Multimodal MRI Synthesis Network. 571-581 - Siyuan Dong, Eric Z. Chen, Lin Zhao, Xiao Chen, Yikang Liu, Terrence Chen, Shanhui Sun:
Invertible Sharpening Network for MRI Reconstruction Enhancement. 582-592 - Sutanu Bera, Prabir Kumar Biswas:
Analyzing and Improving Low Dose CT Denoising Network via HU Level Slicing. 593-602 - Athena Taymourtash, Hamza Kebiri, Ernst Schwartz, Karl-Heinz Nenning, Sébastien Tourbier, Gregor Kasprian, Daniela Prayer, Meritxell Bach Cuadra, Georg Langs:
Spatio-Temporal Motion Correction and Iterative Reconstruction of In-Utero Fetal fMRI. 603-612 - Samuel W. Remedios, Shuo Han, Yuan Xue, Aaron Carass, Trac D. Tran, Dzung L. Pham, Jerry L. Prince:
Deep Filter Bank Regression for Super-Resolution of Anisotropic MR Brain Images. 613-622 - Cheng Peng, Pengfei Guo, S. Kevin Zhou, Vishal M. Patel, Rama Chellappa:
Towards Performant and Reliable Undersampled MR Reconstruction via Diffusion Model Sampling. 623-633 - Chanyong Jung, Joonhyung Lee, Sunkyoung You, Jong Chul Ye:
Patch-Wise Deep Metric Learning for Unsupervised Low-Dose CT Denoising. 634-643 - Yi Gu, Yoshito Otake, Keisuke Uemura, Mazen Soufi, Masaki Takao, Nobuhiko Sugano, Yoshinobu Sato:
BMD-GAN: Bone Mineral Density Estimation Using X-Ray Image Decomposition into Projections of Bone-Segmented Quantitative Computed Tomography Using Hierarchical Learning. 644-654 - Yutong Xie, Quanzheng Li:
Measurement-Conditioned Denoising Diffusion Probabilistic Model for Under-Sampled Medical Image Reconstruction. 655-664 - Hong Wang, Qi Xie, Yuexiang Li, Yawen Huang, Deyu Meng, Yefeng Zheng:
Orientation-Shared Convolution Representation for CT Metal Artifact Learning. 665-675 - Qiaoqiao Ding, Xiaoqun Zhang:
MRI Reconstruction by Completing Under-sampled K-space Data with Learnable Fourier Interpolation. 676-685 - Jiazhen Pan, Daniel Rueckert, Thomas Küstner, Kerstin Hammernik:
Learning-Based and Unrolled Motion-Compensated Reconstruction for Cardiac MR CINE Imaging. 686-696 - Rushdi Zahid Rusho, Qing Zou, Wahidul Alam, Subin Erattakulangara, Mathews Jacob, Sajan Goud Lingala:
Accelerated Pseudo 3D Dynamic Speech MR Imaging at 3T Using Unsupervised Deep Variational Manifold Learning. 697-706 - Brett Levac, Sidharth Kumar, Sofia Kardonik, Jonathan I. Tamir:
FSE Compensated Motion Correction for MRI Using Data Driven Methods. 707-716 - Yihao Xia, Yonggang Shi:
Personalized dMRI Harmonization on Cortical Surface. 717-725 - Chang Gao, Shu-Fu Shih, J. Paul Finn, Xiaodong Zhong:
A Projection-Based K-space Transformer Network for Undersampled Radial MRI Reconstruction with Limited Training Subjects. 726-736 - Beliz Gunel, Arda Sahiner, Arjun D. Desai, Akshay S. Chaudhari, Shreyas Vasanawala, Mert Pilanci, John M. Pauly:
Scale-Equivariant Unrolled Neural Networks for Data-Efficient Accelerated MRI Reconstruction. 737-747 - Rongjun Ge, Yuting He, Cong Xia, Hailong Sun, Yikun Zhang, Dianlin Hu, Sijie Chen, Yang Chen, Shuo Li, Daoqiang Zhang:
DDPNet: A Novel Dual-Domain Parallel Network for Low-Dose CT Reconstruction. 748-757 - Jiadong Zhang, Zhiming Cui, Caiwen Jiang, Jingyang Zhang, Fei Gao, Dinggang Shen:
Mapping in Cycles: Dual-Domain PET-CT Synthesis Framework with Cycle-Consistent Constraints. 758-767 - Artem Razumov, Oleg Y. Rogov, Dmitry V. Dylov:
Optimal MRI Undersampling Patterns for Pathology Localization. 768-779 - SeokHwan Oh, Myeong-Gee Kim, Youngmin Kim, Guil Jung, Hyuksool Kwon, Hyeon-Min Bae:
Sensor Geometry Generalization to Untrained Conditions in Quantitative Ultrasound Imaging. 780-789 - Wenjun Xia, Ziyuan Yang, Qizheng Zhou, Zexin Lu, Zhongxian Wang, Yi Zhang:
A Transformer-Based Iterative Reconstruction Model for Sparse-View CT Reconstruction. 790-800
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