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ORCID27th MICCAI 2024: Marrakesh, Morocco - Part VII
- Marius George Linguraru
, Qi Dou, Aasa Feragen, Stamatia Giannarou, Ben Glocker, Karim Lekadir, Julia A. Schnabel:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2024 - 27th International Conference, Marrakesh, Morocco, October 6-10, 2024, Proceedings, Part VII. Lecture Notes in Computer Science 15007, Springer 2024, ISBN 978-3-031-72103-8
Image Reconstruction
- Yi Gu, Yoshito Otake, Keisuke Uemura, Masaki Takao, Mazen Soufi, Seiji Okada, Nobuhiko Sugano, Hugues Talbot, Yoshinobu Sato:
3DDX: Bone Surface Reconstruction from a Single Standard-Geometry Radiograph via Dual-Face Depth Estimation. 3-13 - Xueming Fu, Yingtai Li, Fenghe Tang, Jun Li, Mingyue Zhao, Gao-Jun Teng, S. Kevin Zhou:
3DGR-CAR: Coronary Artery Reconstruction from Ultra-sparse 2D X-Ray Views with a 3D Gaussians Representation. 14-24 - Xiaoshuang Li, Mingyuan Meng, Zimo Huang, Lei Bi, Eduardo Delamare, David Dagan Feng, Bin Sheng, Jinman Kim:
3DPX: Progressive 2D-to-3D Oral Image Reconstruction with Hybrid MLP-CNN Networks. 25-34 - Qiming Cui, Duygu Tosun, Pratik Mukherjee, Reza Abbasi-Asl:
7T MRI Synthesization from 3T Acquisitions. 35-44 - Zaixin Ou, Caiwen Jiang, Yuxiao Liu, Yuanwang Zhang, Zhiming Cui, Dinggang Shen:
A Graph-Embedded Latent Space Learning and Clustering Framework for Incomplete Multimodal Multiclass Alzheimer's Disease Diagnosis. 45-55 - Qi Chen, Xiaohan Xing, Zhen Chen, Zhiwei Xiong:
Accelerated Multi-contrast MRI Reconstruction via Frequency and Spatial Mutual Learning. 56-66 - Zhiwen Yang, Haowei Chen, Ziniu Qian, Yang Yi, Hui Zhang, Dan Zhao, Bingzheng Wei, Yan Xu:
All-In-One Medical Image Restoration via Task-Adaptive Routing. 67-77 - Shiyu Xie, Kai Zhang, Alireza Entezari:
An Evaluation of State-of-the-Art Projectors in the Presence of Noise and Nonlinearity in the Beer-Lambert Law. 78-87 - Nicholas Konz, Yuwen Chen, Haoyu Dong, Maciej A. Mazurowski:
Anatomically-Controllable Medical Image Generation with Segmentation-Guided Diffusion Models. 88-98 - Yi Sheng, Hanchen Wang, Yipei Liu, Junhuan Yang, Weiwen Jiang, Youzuo Lin, Lei Yang:
APS-USCT: Ultrasound Computed Tomography on Sparse Data via AI-Physic Synergy. 99-108 - Aleksandar Milojevic, Daniel Peter, Niko Benjamin Huber, Luis Azevedo, Andrei Latyshev, Irena Sailer, Markus H. Gross, Bernhard Thomaszewski, Barbara Solenthaler, Baran Gözcü:
AutoSkull: Learning-Based Skull Estimation for Automated Pipelines. 109-118 - Shivesh Chaudhary, Sivaramakrishnan Sankarapandian, Matt Sooknah, Joy Pai, Caroline McCue, Zhenghao Chen, Jun Xu:
Baikal: Unpaired Denoising of Fluorescence Microscopy Images Using Diffusion Models. 119-129 - Xing Li, Yan Yang, Hairong Zheng, Zongben Xu:
Blind Proximal Diffusion Model for Joint Image and Sensitivity Estimation in Parallel MRI. 130-139 - Li Yang, Zhibin He, Tianyang Zhong, Changhe Li, Dajiang Zhu, Junwei Han, Tianming Liu, Tuo Zhang:
Brain Cortical Functional Gradients Predict Cortical Folding Patterns via Attention Mesh Convolution. 140-149 - Chunsu Park, Seonho Kim, DongEon Lee, SiYeoul Lee, Ashok Kambaluru, Chankue Park, MinWoo Kim:
CAPTURE-GAN: Conditional Attribute Preservation Through Unveiling Realistic GAN for Artifact Removal in Dual-Energy CT Imaging. 150-160 - Lujun Gui, Chuyang Ye, Tianyi Yan:
CAVM: Conditional Autoregressive Vision Model for Contrast-Enhanced Brain Tumor MRI Synthesis. 161-170 - Jianfeng Zhao, Shuo Li:
Center-to-Edge Denoising Diffusion Probabilistic Models with Cross-domain Attention for Undersampled MRI Reconstruction. 171-180 - Honglin Xiong, Yu Fang, Kaicong Sun, Yulin Wang, Xiaopeng Zong, Weijun Zhang, Qian Wang:
Contrast Representation Learning from Imaging Parameters for Magnetic Resonance Image Synthesis. 181-190 - DongEon Lee, Chunsu Park, Seonyeong Lee, SiYeoul Lee, MinWoo Kim:
Convolutional Implicit Neural Representation of Pathology Whole-Slide Images. 191-200 - Zhaohu Xing, Sicheng Yang, Sixiang Chen, Tian Ye, Yijun Yang, Jing Qin, Lei Zhu:
Cross-conditioned Diffusion Model for Medical Image to Image Translation. 201-211 - Xiuyu Dong, Zhengwang Wu, Laifa Ma, Ya Wang, Kaibo Tang, He Zhang, Weili Lin, Gang Li:
Cycle-Consistent Learning for Fetal Cortical Surface Reconstruction. 212-222 - Ruochong Shen, Xiaoxu Li, Yuan-Fang Li, Chao Sui, Yu Peng, Qiuhong Ke:
DCDiff: Dual-Domain Conditional Diffusion for CT Metal Artifact Reduction. 223-232 - Junaid R. Rajput, Simon Weinmueller, Jonathan Endres, Peter Dawood, Florian Knoll, Andreas K. Maier, Moritz Zaiss:
Death by Retrospective Undersampling - Caveats and Solutions for Learning-Based MRI Reconstructions. 233-241 - Zexin Ji, Beiji Zou, Xiaoyan Kui, Pierre Vera, Su Ruan:
Deform-Mamba Network for MRI Super-Resolution. 242-252 - Mareike Thies, Noah Maul, Siyuan Mei, Laura Pfaff, Nastassia Vysotskaya, Mingxuan Gu, Jonas Utz, Dennis Possart, Lukas Folle, Fabian Wagner, Andreas K. Maier:
Differentiable Score-Based Likelihoods: Learning CT Motion Compensation from Clean Images. 253-263 - Xiao-Xin Li, Fang-Zheng Zhu, Junwei Yang, Yong Chen, Dinggang Shen:
Dynamic Hybrid Unrolled Multi-scale Network for Accelerated MRI Reconstruction. 264-274 - Thomas Maitre, Elie Bretin, Romain Phan, Nicolas Ducros, Michaël Sdika:
Dynamic Single-Pixel Imaging on an Extended Field of View Without Warping the Patterns. 275-284 - Hadrien Reynaud, Qingjie Meng, Mischa Dombrowski, Arijit Ghosh, Thomas G. Day, Alberto Gómez, Paul Leeson, Bernhard Kainz:
EchoNet-Synthetic: Privacy-Preserving Video Generation for Safe Medical Data Sharing. 285-295 - Long Bai, Tong Chen, Qiaozhi Tan, Wan Jun Nah, Yanheng Li, Zhicheng He, Sishen Yuan, Zhen Chen, Jinlin Wu, Mobarakol Islam, Zhen Li, Hongbin Liu, Hongliang Ren:
EndoUIC: Promptable Diffusion Transformer for Unified Illumination Correction in Capsule Endoscopy. 296-306 - Mohammed Munzer Dwedari, William Consagra, Philip Müller, Özgün Turgut, Daniel Rueckert, Yogesh Rathi:
Estimating Neural Orientation Distribution Fields on High Resolution Diffusion MRI Scans. 307-317 - Ning Jiang, Zhengyong Huang, Yao Sui:
Explanation-Driven Cyclic Learning for High-Quality Brain MRI Reconstruction from Unknown Degradation. 318-328 - Junpeng Tan, Xin Zhang, Chunmei Qing, Chaoxiang Yang, He Zhang, Gang Li, Xiangmin Xu:
Fetal MRI Reconstruction by Global Diffusion and Consistent Implicit Representation. 329-339 - Zhongnuo Yan, Xin Yang, Mingyuan Luo, Jiongquan Chen, Rusi Chen, Lian Liu, Dong Ni:
Fine-Grained Context and Multi-modal Alignment for Freehand 3D Ultrasound Reconstruction. 340-349 - Jiaxin Guo, Jiangliu Wang, Di Kang, Wenzhen Dong, Wenting Wang, Yun-hui Liu:
Free-SurGS: SfM-Free 3D Gaussian Splatting for Surgical Scene Reconstruction. 350-360 - Xinrui Zhou, Yuhao Huang, Wufeng Xue, Haoran Dou, Jun Cheng, Han Zhou, Dong Ni:
HeartBeat: Towards Controllable Echocardiography Video Synthesis with Multimodal Conditions-Guided Diffusion Models. 361-371 - Zixin Tang, Caiwen Jiang, Zhiming Cui, Dinggang Shen:
HF-ResDiff: High-Frequency-Guided Residual Diffusion for Multi-dose PET Reconstruction. 372-381 - Ziad Al-Haj Hemidi, Christian Weihsbach, Mattias P. Heinrich:
IM-MoCo: Self-supervised MRI Motion Correction Using Motion-Guided Implicit Neural Representations. 382-392 - Ziyuan Yang, Yingyu Chen, Mengyu Sun, Yi Zhang:
Inject Backdoor in Measured Data to Jeopardize Full-Stack Medical Image Analysis System. 393-402 - Zhicheng Wang, Jiacheng Li, Yinda Chen, Jiateng Shou, Shiyu Deng, Wei Huang, Zhiwei Xiong:
Joint EM Image Denoising and Segmentation with Instance-Aware Interaction. 403-413 - Ye Liu, Zhuo-Xu Cui, Kaicong Sun, Ting Zhao, Jing Cheng, Yuliang Zhu, Dinggang Shen, Dong Liang:
k-t Self-consistency Diffusion: A Physics-Informed Model for Dynamic MR Imaging. 414-424 - Yiqun Lin, Hualiang Wang, Jixiang Chen, Xiaomeng Li:
Learning 3D Gaussians for Extremely Sparse-View Cone-Beam CT Reconstruction. 425-435 - Kaushalya Sivayogaraj, Sahan T. Guruge, Udari Liyanage, Jeevani Udupihille, Saroj Jayasinghe, Gerard Fernando, Ranga Rodrigo, M. Rukshani Liyanaarachchi:
LiverUSRecon: Automatic 3D Reconstruction and Volumetry of the Liver with a Few Partial Ultrasound Scans. 436-445 - Wei Wang, Huiying Sun, Xin Wang:
LSSNet: A Method for Colon Polyp Segmentation Based on Local Feature Supplementation and Shallow Feature Supplementation. 446-456 - Xiaopeng Yu, Qianyu Wu, Wenhui Qin, Tao Zhong, Mengqing Su, Jinglu Ma, Yikun Zhang, Xu Ji, Guotao Quan, Yang Chen, Yanfeng Du, Xiaochun Lai:
Material Decomposition in Photon-Counting CT: A Deep Learning Approach Driven by Detector Physics and ASIC Modeling. 457-466 - Jiaqi Cui, Xinyi Zeng, Pinxian Zeng, Bo Liu, Xi Wu, Jiliu Zhou, Yan Wang:
MCAD: Multi-modal Conditioned Adversarial Diffusion Model for High-Quality PET Image Reconstruction. 467-477 - Kun Huang, Xiao Ma, Yuhan Zhang, Na Su, Songtao Yuan, Yong Liu, Qiang Chen, Huazhu Fu:
Memory-Efficient High-Resolution OCT Volume Synthesis with Cascaded Amortized Latent Diffusion Models. 478-487 - Zhufeng Xu, Jiaxin Qin, Chenhao Li, Dechao Bu, Yi Zhao:
MiHATP:A Multi-hybrid Attention Super-Resolution Network for Pathological Image Based on Transformation Pool Contrastive Learning. 488-497 - Shoujin Huang, Guanxiong Luo, Xi Wang, Ziran Chen, Yuwan Wang, Huaishui Yang, Pheng-Ann Heng, Lingyan Zhang, Mengye Lyu:
Noise Level Adaptive Diffusion Model for Robust Reconstruction of Accelerated MRI. 498-508 - Tianyu Han, Sven Nebelung, Firas Khader, Jakob Nikolas Kather, Daniel Truhn:
On Instabilities of Unsupervised Denoising Diffusion Models in Magnetic Resonance Imaging Reconstruction. 509-517 - Yumin Kim, Gayoon Choi, Seong Jae Hwang:
Parameter Efficient Fine Tuning for Multi-scanner PET to PET Reconstruction. 518-528 - Yitong Li, Igor Yakushev, Dennis M. Hedderich, Christian Wachinger:
PASTA: Pathology-Aware MRI to PET CroSs-modal TrAnslation with Diffusion Models. 529-540 - Boxiao Yu, Savas Ozdemir, Yafei Dong, Wei Shao, Kuangyu Shi, Kuang Gong:
PET Image Denoising Based on 3D Denoising Diffusion Probabilistic Model: Evaluations on Total-Body Datasets. 541-550 - Zhengyao Ding, Yujian Hu, Hongkun Zhang, Fei Wu, Shifeng Yang, Xiaolong Du, Yilang Xiang, Tian Li, Xuesen Chu, Zhengxing Huang:
Physical-Priors-Guided Aortic Dissection Detection Using Non-Contrast-Enhanced CT Images. 551-561 - Hannah Eichhorn, Veronika Spieker, Kerstin Hammernik, Elisa Saks, Kilian Weiss, Christine Preibisch, Julia A. Schnabel:
Physics-Informed Deep Learning for Motion-Corrected Reconstruction of Quantitative Brain MRI. 562-571 - Sai Natarajan, Estefano Muñoz-Moya, Carlos Ruiz Wills, Gemma Piella, Jérôme Noailly, Ludovic Humbert, Miguel Ángel González Ballester:
Pixel2Mechanics: Automated Biomechanical Simulations of High-Resolution Intervertebral Discs from Anisotropic MRIs. 572-582 - Lennart Alexander Van der Goten, Kevin Smith, Alzheimer's Disease Neuroimaging Initiative:
Privacy Protection in MRI Scans Using 3D Masked Autoencoders. 583-592 - Kyungryun Lee, Won-Ki Jeong:
Reference-Free Axial Super-Resolution of 3D Microscopy Images Using Implicit Neural Representation with a 2D Diffusion Prior. 593-602 - Zhiwen Yang, Haowei Chen, Ziniu Qian, Yang Zhou, Hui Zhang, Dan Zhao, Bingzheng Wei, Yan Xu:
Region Attention Transformer for Medical Image Restoration. 603-613 - Veronika Spieker, Hannah Eichhorn, Jonathan K. Stelter, Wenqi Huang, Rickmer F. Braren, Daniel Rueckert, Francisco Sahli Costabal, Kerstin Hammernik, Claudia Prieto, Dimitrios C. Karampinos, Julia A. Schnabel:
Self-supervised k-Space Regularization for Motion-Resolved Abdominal MRI Using Neural Implicit k-Space Representations. 614-624 - Bastien Bergere, Thomas Dautremer, Claude Comtat:
Simulation Based Inference for PET Iterative Reconstruction. 625-634 - Yushen Xu, Xiaosong Li, Yuchan Jie, Haishu Tan:
Simultaneous Tri-Modal Medical Image Fusion and Super-Resolution Using Conditional Diffusion Model. 635-645 - Yunkui Pang, Yilin Liu, Xu Chen, Pew-Thian Yap, Jun Lian:
SinoSynth: A Physics-Based Domain Randomization Approach for Generalizable CBCT Image Enhancement. 646-656 - Kyobin Choo, Youngjun Jun, Mijin Yun, Seong Jae Hwang:
Slice-Consistent 3D Volumetric Brain CT-to-MRI Translation with 2D Brownian Bridge Diffusion Model. 657-667 - Jixiang Chen, Yiqun Lin, Haoran Sun, Xiaomeng Li:
Spatial-Division Augmented Occupancy Field for Bone Shape Reconstruction from Biplanar X-Rays. 668-678 - Yuliang Zhu, Jing Cheng, Zhuo-Xu Cui, Jianfeng Ren, Chengbo Wang, Dong Liang:
SRE-CNN: A Spatiotemporal Rotation-Equivariant CNN for Cardiac Cine MR Imaging. 679-689 - Vu Minh Hieu Phan, Yutong Xie, Bowen Zhang, Yuankai Qi, Zhibin Liao, Antonios Perperidis, Son Lam Phung, Johan W. Verjans, Minh-Son To:
Structural Attention: Rethinking Transformer for Unpaired Medical Image Synthesis. 690-700 - Xiaofeng Liu, Fangxu Xing, Zhangxing Bian, Tomás Arias-Vergara, Paula Andrea Pérez-Toro, Andreas K. Maier, Maureen Stone, Jiachen Zhuo, Jerry L. Prince, Jonghye Woo:
Tagged-to-Cine MRI Sequence Synthesis via Light Spatial-Temporal Transformer. 701-711 - Chenfan Xu, Zhentao Liu, Yuan Liu, Yulong Dou, Jiamin Wu, Jiepeng Wang, Minjiao Wang, Dinggang Shen, Zhiming Cui:
TeethDreamer: 3D Teeth Reconstruction from Five Intra-Oral Photographs. 712-721 - Alexandre Cafaro, Reuben Dorent, Nazim Haouchine, Vincent Lepetit, Nikos Paragios, William M. Wells III, Sarah F. Frisken:
Two Projections Suffice for Cerebral Vascular Reconstruction. 722-731 - Ishak Ayad, Cécilia Tarpau, Javier Cebeiro, Maï K. Nguyen:
UnWave-Net: Unrolled Wavelet Network for Compton Tomography Image Reconstruction. 732-742 - Jiachen Liu, Xiangzhi Bai:
VolumeNeRF: CT Volume Reconstruction from a Single Projection View. 743-753 - Siyeop Yoon, Matthew Tivnan, Rui Hu, Yuang Wang, Young-Don Son, Dufan Wu, Xiang Li, Kyungsang Kim, Quanzheng Li:
Volumetric Conditional Score-Based Residual Diffusion Model for PET/MR Denoising. 754-763 - Haoyu Zhao, Yuliang Gu, Zhou Zhao, Bo Du, Yongchao Xu, Rui Yu:
WIA-LD2ND: Wavelet-Based Image Alignment for Self-supervised Low-Dose CT Denoising. 764-774 - Xiyue Lin, Chenhe Du, Qing Wu, Xuanyu Tian, Jingyi Yu, Yuyao Zhang, Hongjiang Wei:
Zero-Shot Low-Field MRI Enhancement via Denoising Diffusion Driven Neural Representation. 775-785
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