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ORCID26th MICCAI 2023: Vancouver, BC, Canada - Part X
- Hayit Greenspan, Anant Madabhushi
, Parvin Mousavi, Septimiu Salcudean, James Duncan, Tanveer F. Syeda-Mahmood, Russell H. Taylor:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 - 26th International Conference, Vancouver, BC, Canada, October 8-12, 2023, Proceedings, Part X. Lecture Notes in Computer Science 14229, Springer 2023, ISBN 978-3-031-43998-8
Image Reconstruction
- Jiahao Huang, Angelica I. Avilés-Rivero, Carola-Bibiane Schönlieb, Guang Yang:
CDiffMR: Can We Replace the Gaussian Noise with K-Space Undersampling for Fast MRI? 3-12 - Yiqun Lin, Zhongjin Luo, Wei Zhao, Xiaomeng Li:
Learning Deep Intensity Field for Extremely Sparse-View CBCT Reconstruction. 13-23 - Yongsheng Pan, Feihong Liu, Caiwen Jiang, Jiawei Huang, Yong Xia, Dinggang Shen:
Revealing Anatomical Structures in PET to Generate CT for Attenuation Correction. 24-33 - Long Bai, Tong Chen, Yanan Wu, An Wang, Mobarakol Islam, Hongliang Ren:
LLCaps: Learning to Illuminate Low-Light Capsule Endoscopy with Curved Wavelet Attention and Reverse Diffusion. 34-44 - Luyi Han, Tianyu Zhang, Yunzhi Huang, Haoran Dou, Xin Wang, Yuan Gao, Chunyao Lu, Tao Tan, Ritse Mann:
An Explainable Deep Framework: Towards Task-Specific Fusion for Multi-to-One MRI Synthesis. 45-55 - Minh-Hieu Phan, Zhibin Liao, Johan W. Verjans, Minh-Son To:
Structure-Preserving Synthesis: MaskGAN for Unpaired MR-CT Translation. 56-65 - Zhiyun Song, Xin Wang, Xiangyu Zhao, Sheng Wang, Zhenrong Shen, Zixu Zhuang, Mengjun Liu, Qian Wang, Lichi Zhang:
Alias-Free Co-modulated Network for Cross-Modality Synthesis and Super-Resolution of MR Images. 66-76 - Haiyang Mao, Yanyang Wang, Hengyong Yu, Weiwen Wu, Jianjia Zhang:
Multi-perspective Adaptive Iteration Network for Metal Artifact Reduction. 77-87 - Sutanu Bera, Prabir Kumar Biswas:
Noise Conditioned Weight Modulation for Robust and Generalizable Low Dose CT Denoising. 88-97 - Jianning Chi, Zhiyi Sun, Tianli Zhao, Huan Wang, Xiaosheng Yu, Chengdong Wu:
Low-Dose CT Image Super-Resolution Network with Dual-Guidance Feature Distillation and Dual-Path Content Communication. 98-108 - Hong Wang, Minghao Zhou, Dong Wei, Yuexiang Li, Yefeng Zheng:
MEPNet: A Model-Driven Equivariant Proximal Network for Joint Sparse-View Reconstruction and Metal Artifact Reduction in CT Images. 109-120 - Weitong Zhang, Berke Doga Basaran, Qingjie Meng, Matthew Baugh, Jonathan K. Stelter, Phillip Lung, Uday Patel, Wenjia Bai, Dimitrios C. Karampinos, Bernhard Kainz:
MoCoSR: Respiratory Motion Correction and Super-Resolution for 3D Abdominal MRI. 121-131 - Prabhjot Kaur, Atul S. Minhas, Chirag Kamal Ahuja, Anil Kumar Sao:
Estimation of 3T MR Images from 1.5T Images Regularized with Physics Based Constraint. 132-141 - Hadrien Reynaud, Mengyun Qiao, Mischa Dombrowski, Thomas G. Day, Reza Razavi, Alberto Gómez, Paul Leeson, Bernhard Kainz:
Feature-Conditioned Cascaded Video Diffusion Models for Precise Echocardiogram Synthesis. 142-152 - Rui Hu, Yunmei Chen, Kyung Sang Kim, Marcio Aloisio Bezerra Cavalcanti Rockenbach, Quanzheng Li, Huafeng Liu:
DULDA: Dual-Domain Unsupervised Learned Descent Algorithm for PET Image Reconstruction. 153-162 - Huidong Xie, Bo Zhou, Xiongchao Chen, Xueqi Guo, Stephanie Thorn, Yi-Hwa Liu, Ge Wang, Albert J. Sinusas, Chi Liu:
Transformer-Based Dual-Domain Network for Few-View Dedicated Cardiac SPECT Image Reconstructions. 163-172 - Chi Ding, Qingchao Zhang, Ge Wang, Xiaojing Ye, Yunmei Chen:
Learned Alternating Minimization Algorithm for Dual-Domain Sparse-View CT Reconstruction. 173-183 - Jiaqi Cui, Pinxian Zeng, Xinyi Zeng, Peng Wang, Xi Wu, Jiliu Zhou, Yan Wang, Dinggang Shen:
TriDo-Former: A Triple-Domain Transformer for Direct PET Reconstruction from Low-Dose Sinograms. 184-194 - Eric Z. Chen, Chi Zhang, Xiao Chen, Yikang Liu, Terrence Chen, Shanhui Sun:
Computationally Efficient 3D MRI Reconstruction with Adaptive MLP. 195-205 - Tao Wang, Hui Yu, Yan Liu, Huaiqiang Sun, Yi Zhang:
Building a Bridge: Close the Domain Gap in CT Metal Artifact Reduction. 206-216 - Christopher Hahne, Raphael Sznitman:
Geometric Ultrasound Localization Microscopy. 217-227 - Jiazhen Pan, Suprosanna Shit, Özgün Turgut, Wenqi Huang, Hongwei Bran Li, Nil Stolt Ansó, Thomas Küstner, Kerstin Hammernik, Daniel Rueckert:
Global k-Space Interpolation for Dynamic MRI Reconstruction Using Masked Image Modeling. 228-238 - Zeyu Han, Yuhan Wang, Luping Zhou, Peng Wang, Binyu Yan, Jiliu Zhou, Yan Wang, Dinggang Shen:
Contrastive Diffusion Model with Auxiliary Guidance for Coarse-to-Fine PET Reconstruction. 239-249 - Chenglong Ma, Zilong Li, Junping Zhang, Yi Zhang, Hongming Shan:
FreeSeed: Frequency-Band-Aware and Self-guided Network for Sparse-View CT Reconstruction. 250-259 - Yuetan Chu, Longxi Zhou, Gongning Luo, Zhaowen Qiu, Xin Gao:
Topology-Preserving Computed Tomography Super-Resolution Based on Dual-Stream Diffusion Model. 260-270 - Boqi Chen, Marc Niethammer:
MRIS: A Multi-modal Retrieval Approach for Image Synthesis on Diverse Modalities. 271-281 - Jiamiao Zhang, Yichen Chi, Jun Lyu, Wenming Yang, Yapeng Tian:
Dual Arbitrary Scale Super-Resolution for Multi-contrast MRI. 282-292 - Jiazhen Wang, Yizhe Yang, Yan Yang, Jian Sun:
Dual Domain Motion Artifacts Correction for MR Imaging Under Guidance of K-space Uncertainty. 293-302 - Sidaty El Hadramy, Juan Verde, Karl-Philippe Beaudet, Nicolas Padoy, Stéphane Cotin:
Trackerless Volume Reconstruction from Intraoperative Ultrasound Images. 303-312 - Shoujin Huang, Jingyu Li, Lifeng Mei, Tan Zhang, Ziran Chen, Yu Dong, Linzheng Dong, Shaojun Liu, Mengye Lyu:
Accurate Multi-contrast MRI Super-Resolution via a Dual Cross-Attention Transformer Network. 313-322 - Mingjie Pan, Yulu Gan, Fangxu Zhou, Jiaming Liu, Ying Zhang, Aimin Wang, Shanghang Zhang, Dawei Li:
DiffuseIR: Diffusion Models for Isotropic Reconstruction of 3D Microscopic Images. 323-332 - Matthew Ragoza, Kayhan Batmanghelich:
Physics-Informed Neural Networks for Tissue Elasticity Reconstruction in Magnetic Resonance Elastography. 333-343 - Changyong Choi, Jiheon Jeong, Sangyoon Lee, Sang Min Lee, Namkug Kim:
CT Kernel Conversion Using Multi-domain Image-to-Image Translation with Generator-Guided Contrastive Learning. 344-354 - Zhihao Chen, Qi Gao, Yi Zhang, Hongming Shan:
ASCON: Anatomy-Aware Supervised Contrastive Learning Framework for Low-Dose CT Denoising. 355-365 - Jiheon Jeong, Ki Duk Kim, Yujin Nam, Kyungjin Cho, Jiseon Kang, Gil-Sun Hong, Namkug Kim:
Generating High-Resolution 3D CT with 12-Bit Depth Using a Diffusion Model with Adjacent Slice and Intensity Calibration Network. 366-375 - Sihwa Park, Seongjun Kim, In-Seok Song, Seung Jun Baek:
3D Teeth Reconstruction from Panoramic Radiographs Using Neural Implicit Functions. 376-386 - Ye Mao, Lan Jiang, Xi Chen, Chao Li:
DisC-Diff: Disentangled Conditional Diffusion Model for Multi-contrast MRI Super-Resolution. 387-397 - Lan Jiang, Ye Mao, Xiangfeng Wang, Xi Chen, Chao Li:
CoLa-Diff: Conditional Latent Diffusion Model for Multi-modal MRI Synthesis. 398-408 - Rongjun Ge, Yuting He, Cong Xia, Daoqiang Zhang:
JCCS-PFGM: A Novel Circle-Supervision Based Poisson Flow Generative Model for Multiphase CECT Progressive Low-Dose Reconstruction with Joint Condition. 409-418 - Joseph Kettelkamp, Ludovica Romanin, Davide Piccini, Sarv Priya, Mathews Jacob:
Motion Compensated Unsupervised Deep Learning for 5D MRI. 419-427 - Walter Simson, Louise Zhuang, Sergio J. Sanabria, Neha Antil, Jeremy J. Dahl, Dongwoon Hyun:
Differentiable Beamforming for Ultrasound Autofocusing. 428-437 - Jueqi Wang, Jacob Levman, Walter Hugo Lopez Pinaya, Petru-Daniel Tudosiu, M. Jorge Cardoso, Razvan V. Marinescu:
InverseSR: 3D Brain MRI Super-Resolution Using a Latent Diffusion Model. 438-447 - Reuben Dorent, Nazim Haouchine, Fryderyk Victor Kögl, Samuel Joutard, Parikshit Juvekar, Erickson Torio, Alexandra J. Golby, Sébastien Ourselin, Sarah F. Frisken, Tom Vercauteren, Tina Kapur, William M. Wells III:
Unified Brain MR-Ultrasound Synthesis Using Multi-modal Hierarchical Representations. 448-458 - Lennart Bastian, Alexander Baumann, Emily Hoppe, Vincent Bürgin, Ha Young Kim, Mahdi Saleh, Benjamin Busam, Nassir Navab:
S3M: Scalable Statistical Shape Modeling Through Unsupervised Correspondences. 459-469 - Ellen Jieun Oh, Yechan Hwang, Yubin Han, Taegeun Choi, Geunyoung Lee, Won Hwa Kim:
RESToring Clarity: Unpaired Retina Image Enhancement Using Scattering Transform. 470-480 - Samuele Papa, Efstratios Gavves, Jan-Jakob Sonke:
Noise2Aliasing: Unsupervised Deep Learning for View Aliasing and Noise Reduction in 4DCBCT. 481-490 - Yilmaz Korkmaz, Tolga Çukur, Vishal M. Patel:
Self-supervised MRI Reconstruction with Unrolled Diffusion Models. 491-501 - Victor M. Batlle, José M. M. Montiel, Pascal Fua, Juan D. Tardós:
LightNeuS: Neural Surface Reconstruction in Endoscopy Using Illumination Decline. 502-512 - Mykhaylo Zayats, Christopher Hansen, Ronan A. Cahill, Gareth Gallagher, Ra'ed Malallah, Amit Joshi, Sergiy Zhuk:
Reflectance Mode Fluorescence Optical Tomography with Consumer-Grade Cameras. 513-523 - Wenjie Liu, Hu Ding:
Solving Low-Dose CT Reconstruction via GAN with Local Coherence. 524-534
Image Registration
- Yang Liu, Shi Gu:
Co-learning Semantic-Aware Unsupervised Segmentation for Pathological Image Registration. 537-547 - Zhibin He, Wuyang Li, Tuo Zhang, Yixuan Yuan:
$\mathrm {H^{2}}$GM: A Hierarchical Hypergraph Matching Framework for Brain Landmark Alignment. 548-558 - Zi Li, Lin Tian, Tony C. W. Mok, Xiaoyu Bai, Puyang Wang, Jia Ge, Jingren Zhou, Le Lu, Xianghua Ye, Ke Yan, Dakai Jin:
SAMConvex: Fast Discrete Optimization for CT Registration Using Self-supervised Anatomical Embedding and Correlation Pyramid. 559-569 - Rema Daher, Oscar León Barbed, Ana C. Murillo, Francisco Vasconcelos, Danail Stoyanov:
CycleSTTN: A Learning-Based Temporal Model for Specular Augmentation in Endoscopy. 570-580 - Kangrong Xu, Qirui Huang, Xuan Yang:
Importance Weighted Variational Cardiac MRI Registration Using Transformer and Implicit Prior. 581-591 - Lingting Zhu, Zeyue Xue, Zhenchao Jin, Xian Liu, Jingzhen He, Ziwei Liu, Lequan Yu:
Make-A-Volume: Leveraging Latent Diffusion Models for Cross-Modality 3D Brain MRI Synthesis. 592-601 - Tai Ma, Xinru Dai, Suwei Zhang, Ying Wen:
PIViT: Large Deformation Image Registration with Pyramid-Iterative Vision Transformer. 602-612 - Haoran Dou, Ning Bi, Luyi Han, Yuhao Huang, Ritse Mann, Xin Yang, Dong Ni, Nishant Ravikumar, Alejandro F. Frangi, Yunzhi Huang:
GSMorph: Gradient Surgery for Cine-MRI Cardiac Deformable Registration. 613-622 - Zuopeng Tan, Hengyu Zhang, Feng Tian, Lihe Zhang, Weibing Sun, Huchuan Lu:
Progressively Coupling Network for Brain MRI Registration in Few-Shot Situation. 623-633 - Haosheng Su, Xuan Yang:
Nonuniformly Spaced Control Points Based on Variational Cardiac Image Registration. 634-644 - Michal Byra, Charissa Poon, Tomomi Shimogori, Henrik Skibbe:
Implicit Neural Representations for Joint Decomposition and Registration of Gene Expression Images in the Marmoset Brain. 645-654 - Yi Qin, Xiaomeng Li:
FSDiffReg: Feature-Wise and Score-Wise Diffusion-Guided Unsupervised Deformable Image Registration for Cardiac Images. 655-665 - Alexander Bigalke, Mattias P. Heinrich:
A Denoised Mean Teacher for Domain Adaptive Point Cloud Registration. 666-676 - Alexander Bigalke, Lasse Hansen, Tony C. W. Mok, Mattias P. Heinrich:
Unsupervised 3D Registration Through Optimization-Guided Cyclical Self-training. 677-687 - Hastings Greer, Lin Tian, François-Xavier Vialard, Roland Kwitt, Sylvain Bouix, Raúl San José Estépar, Richard J. Rushmore, Marc Niethammer:
Inverse Consistency by Construction for Multistep Deep Registration. 688-698 - Alexandre Cafaro, Quentin Spinat, Amaury Leroy, Pauline Maury, Alexandre Munoz, Guillaume Beldjoudi, Charlotte Robert, Eric Deutsch, Vincent Grégoire, Vincent Lepetit, Nikos Paragios:
X2Vision: 3D CT Reconstruction from Biplanar X-Rays with Deep Structure Prior. 699-709 - Tianyi Zeng, Jiazhen Zhang, Eléonore V. Lieffrig, Zhuotong Cai, Fuyao Chen, Chenyu You, Mika Naganawa, Yihuan Lu, John A. Onofrey:
Fast Reconstruction for Deep Learning PET Head Motion Correction. 710-719 - Songhui Diao, Wenxue Zhou, Chenchen Qin, Jun Liao, Junzhou Huang, Wenming Yang, Jianhua Yao:
An Unsupervised Multispectral Image Registration Network for Skin Diseases. 720-729 - Richard McKinley, Christian Rummel:
CortexMorph: Fast Cortical Thickness Estimation via Diffeomorphic Registration Using VoxelMorph. 730-739 - Haiqiao Wang, Dong Ni, Yi Wang:
ModeT: Learning Deformable Image Registration via Motion Decomposition Transformer. 740-749 - Mingyuan Meng, Lei Bi, Michael J. Fulham, David Dagan Feng, Jinman Kim:
Non-iterative Coarse-to-Fine Transformer Networks for Joint Affine and Deformable Image Registration. 750-760 - Matteo Ronchetti, Wolfgang Wein, Nassir Navab, Oliver Zettinig, Raphael Prevost:
DISA: DIfferentiable Similarity Approximation for Universal Multimodal Registration. 761-770 - Amaury Leroy, Alexandre Cafaro, Grégoire Gessain, Anne Champagnac, Vincent Grégoire, Eric Deutsch, Vincent Lepetit, Nikos Paragios:
StructuRegNet: Structure-Guided Multimodal 2D-3D Registration. 771-780 - Pragyan Shrestha, Chun Xie, Hidehiko Shishido, Yuichi Yoshii, Itaru Kitahara:
X-Ray to CT Rigid Registration Using Scene Coordinate Regression. 781-790
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