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ORCID27th MICCAI 2024: Marrakesh, Morocco - Part II
- 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 II. Lecture Notes in Computer Science 15002, Springer 2024, ISBN 978-3-031-72068-0
Neuroimaging
- Jiaqi Ding, Tingting Dan, Ziquan Wei, Paul J. Laurienti, Guorong Wu:
A Wasserstein Recipe for Replicable Machine Learning on Functional Neuroimages. 3-13 - Mengjun Liu, Zhiyun Song, Dongdong Chen, Xin Wang, Zixu Zhuang, Manman Fei, Lichi Zhang, Qian Wang:
Affinity Learning Based Brain Function Representation for Disease Diagnosis. 14-23 - Junmo Kwon, Sang Won Seo, Hyunjin Park:
Anatomically-Guided Segmentation of Cerebral Microbleeds in T1-Weighted and T2*-Weighted MRI. 24-33 - Baris Imre, Elina Thibeau-Sutre, Jorieke Reimer, Kuan Kho, Jelmer M. Wolterink:
Brain-Shift: Unsupervised Pseudo-Healthy Brain Synthesis for Novel Biomarker Extraction in Chronic Subdural Hematoma. 34-44 - Lilong Wang, Mianxin Liu, Shaoting Zhang, Xiaosong Wang:
BrainSCK: Brain Structure and Cognition Alignment via Knowledge Injection and Reactivation for Diagnosing Brain Disorders. 45-55 - Ah-Yeong Jeong, Da-Woon Heo, Eunsong Kang, Heung-Il Suk:
BrainWaveNet: Wavelet-Based Transformer for Autism Spectrum Disorder Diagnosis. 56-66 - Juyoung Bae, Elizabeth Tong, Hao Chen:
Conditional Diffusion Model for Versatile Temporal Inpainting in 4D Cerebral CT Perfusion Imaging. 67-77 - Qing Xiao, Siyeop Yoon, Hui Ren, Matthew Tivnan, Lichao Sun, Quanzheng Li, Tianming Liu, Yu Zhang, Xiang Li:
Conditional Score-Based Diffusion Model for Cortical Thickness Trajectory Prediction. 78-87 - Dan Hu, Kangfu Han, Jiale Cheng, Gang Li:
Consecutive-Contrastive Spherical U-Net: Enhancing Reliability of Individualized Functional Brain Parcellation for Short-Duration fMRI Scans. 88-98 - Wenxuan Wu, Ruowen Qu, Dongzi Shi, Tong Xiong, Xiangmin Xu, Xiaofen Xing, Xin Zhang:
Cortical Surface Reconstruction from 2D MRI with Segmentation-Constrained Super-Resolution and Representation Learning. 99-108 - Zhengwang Xia, Huan Wang, Tao Zhou, Zhuqing Jiao, Jianfeng Lu:
Customized Relationship Graph Neural Network for Brain Disorder Identification. 109-118 - Haoyu Hu, Hongrun Zhang, Chao Li:
D-CoRP: Differentiable Connectivity Refinement for Functional Brain Networks. 119-129 - Anqi Xiao, Keyi Han, Xiaojing Shi, Jie Tian, Zhenhua Hu:
Data Augmentation with Multi-armed Bandit on Image Deformations Improves Fluorescence Glioma Boundary Recognition. 130-140 - Xiaoshan Zhang, Enze Shi, Sigang Yu, Shu Zhang:
DTCA: Dual-Branch Transformer with Cross-Attention for EEG and Eye Movement Data Fusion. 141-151 - Antoine Legouhy, Ross Callaghan, Whitney Stee, Philippe Peigneux, Hojjat Azadbakht, Hui Zhang:
Eddeep: Fast Eddy-Current Distortion Correction for Diffusion MRI with Deep Learning. 152-161 - Yuanzhuo Zhu, Chunfeng Lian, Xianjun Li, Fan Wang, Jianhua Ma:
Efficient Cortical Surface Parcellation via Full-Band Diffusion Learning at Individual Space. 162-172 - Lemuel Puglisi, Daniel C. Alexander, Daniele Ravì:
Enhancing Spatiotemporal Disease Progression Models via Latent Diffusion and Prior Knowledge. 173-183 - Mahbaneh Eshaghzadeh Torbati, Davneet S. Minhas, Ahmad P. Tafti, Charles DeCarli, Dana L. Tudorascu, Seong Jae Hwang:
ESPA: An Unsupervised Harmonization Framework via Enhanced Structure Preserving Augmentation. 184-194 - Lanting Li, Liuzeng Zhang, Peng Cao, Jinzhu Yang, Fei Wang, Osmar R. Zaïane:
Exploring Spatio-temporal Interpretable Dynamic Brain Function with Transformer for Brain Disorder Diagnosis. 195-205 - Julius B. Kirkegaard, Nikolay Kutuzov, Rasmus Netterstrøm, Sune Darkner, Martin Johannes Lauritzen, François Lauze:
In Vivo Deep Learning Estimation of Diffusion Coefficients of Nanoparticles. 206-215 - Xiangmin Han, Rundong Xue, Shaoyi Du, Yue Gao:
Inter-intra High-Order Brain Network for ASD Diagnosis via Functional MRIs. 216-226 - Haoteng Tang, Guodong Liu, Siyuan Dai, Kai Ye, Kun Zhao, Wenlu Wang, Carl Yang, Lifang He, Alex D. Leow, Paul M. Thompson, Heng Huang, Liang Zhan:
Interpretable Spatio-Temporal Embedding for Brain Structural-Effective Network with Ordinary Differential Equation. 227-237 - Lin Teng, Zihao Zhao, Jiawei Huang, Zehong Cao, Runqi Meng, Feng Shi, Dinggang Shen:
Knowledge-Guided Prompt Learning for Lifespan Brain MR Image Segmentation. 238-248 - Zihao Zhu, Tianli Tao, Yitian Tao, Haowen Deng, Xinyi Cai, Gaofeng Wu, Kaidong Wang, Haifeng Tang, Lixuan Zhu, Zhuoyang Gu, Dinggang Shen, Han Zhang:
LoCI-DiffCom: Longitudinal Consistency-Informed Diffusion Model for 3D Infant Brain Image Completion. 249-258 - Antoine Barrier, Thomas Coudert, Aurélien Delphin, Benjamin Lemasson, Thomas Christen:
MARVEL: MR Fingerprinting with Additional micRoVascular Estimates Using Bidirectional LSTMs. 259-269 - Yuxin Cai, Jianhai Zhang, Lei He, Aravind Ganesh, Wu Qiu:
Masked Residual Diffusion Probabilistic Model with Regional Asymmetry Prior for Generating Perfusion Maps from Multi-phase CTA. 270-280 - Maria Boyko, Polina Druzhinina, Georgii Kormakov, Aleksandra Beliaeva, Maxim Sharaev:
MEGFormer: Enhancing Speech Decoding from Brain Activity Through Extended Semantic Representations. 281-290 - Haolin Huang, Zhenrong Shen, Jing Wang, Xinyu Wang, Jiaying Lu, Huamei Lin, Jingjie Ge, Chuantao Zuo, Qian Wang:
MetaAD: Metabolism-Aware Anomaly Detection for Parkinson's Disease in 3D 18F-FDG PET. 291-301 - Bo Jiang, Yapeng Li, Xixi Wan, Yuan Chen, Zhengzheng Tu, Yumiao Zhao, Jin Tang:
MGDR: Multi-modal Graph Disentangled Representation for Brain Disease Prediction. 302-312 - Si-Miao Zhang, Jing Wang, Yi-Xuan Wang, Tao Liu, Haogang Zhu, Han Zhang, Jian Cheng:
Mixed Integer Linear Programming for Discrete Sampling Scheme Design in Diffusion MRI. 313-322 - Junjie He, Bangkang Fu, Zhenliang Xiong, Yunsong Peng, Rongpin Wang:
mQSM: Multitask Learning-Based Quantitative Susceptibility Mapping for Iron Analysis in Brain. 323-333 - Seunghun Baek, Jaeyoon Sim, Guorong Wu, Won Hwa Kim:
OCL: Ordinal Contrastive Learning for Imputating Features with Progressive Labels. 334-344 - Juanhua Zhang, Ruodan Yan, Alessandro Perelli, Xi Chen, Chao Li:
Phy-Diff: Physics-Guided Hourglass Diffusion Model for Diffusion MRI Synthesis. 345-355 - Tao Hou, Jiashuang Huang, Shu Jiang, Weiping Ding:
Quality-Aware Fuzzy Min-Max Neural Networks for Dynamic Brain Network Analysis. 356-366 - Ziquan Wei, Tingting Dan, Jiaqi Ding, Paul J. Laurienti, Guorong Wu:
Representing Functional Connectivity with Structural Detour: A New Perspective to Decipher Structure-Function Coupling Mechanism. 367-377 - Zhepeng Wang, Runxue Bao, Yawen Wu, Guodong Liu, Lei Yang, Liang Zhan, Feng Zheng, Weiwen Jiang, Yanfu Zhang:
Self-guided Knowledge-Injected Graph Neural Network for Alzheimer's Diseases. 378-388 - Debashis Das Chakladar, Foteini Simistira Liwicki, Rajkumar Saini:
SimBrainNet: Evaluating Brain Network Similarity for Attention Disorders. 389-399 - Jiahong Ouyang, Qingyu Zhao, Ehsan Adeli, Greg Zaharchuk, Kilian M. Pohl:
SOM2LM: Self-Organized Multi-Modal Longitudinal Maps. 400-410 - Ruodan Yan, Carola-Bibiane Schönlieb, Chao Li:
Spatiotemporal Graph Neural Network Modelling Perfusion MRI. 411-421 - Yuan Li, Xinyu Nie, Jianwei Zhang, Yonggang Shi:
Surface-Based and Shape-Informed U-Fiber Atlasing for Robust Superficial White Matter Connectivity Analysis. 422-432 - Jianhai Zhang, Tonghua Wan, M. Ethan MacDonald, Bijoy K. Menon, Wu Qiu, Aravind Ganesh:
Synchronous Image-Label Diffusion with Anisotropic Noise for Stroke Lesion Segmentation on Non-Contrast CT. 433-443 - Mattia Litrico, Francesco Guarnera, Mario Valerio Giuffrida, Daniele Ravì, Sebastiano Battiato:
TADM: Temporally-Aware Diffusion Model for Neurodegenerative Progression on Brain MRI. 444-453 - Xinmei Qiu, Fan Wang, Yongheng Sun, Chunfeng Lian, Jianhua Ma:
Towards Graph Neural Networks with Domain-Generalizable Explainability for fMRI-Based Brain Disorder Diagnosis. 454-464 - Skylar E. Stolte, Aprinda Indahlastari, Alejandro Albizu, Adam J. Woods, Ruogu Fang:
Towards tDCS Digital Twins Using Deep Learning-Based Direct Estimation of Personalized Electrical Field Maps from T1-Weighted MRI. 465-475 - Antoine Théberge, Maxime Descoteaux, Pierre-Marc Jodoin:
TractOracle: Towards an Anatomically-Informed Reward Function for RL-Based Tractography. 476-486 - Jiameng Liu, Feihong Liu, Kaicong Sun, Yuhang Sun, Jiawei Huang, Caiwen Jiang, Islem Rekik, Dinggang Shen:
UinTSeg: Unified Infant Brain Tissue Segmentation with Anatomy Delineation. 487-497 - Yanquan Huang, Tingting Dan, Won Hwa Kim, Guorong Wu:
Uncovering Cortical Pathways of Prion-Like Pathology Spreading in Alzheimer's Disease by Neural Optimal Mass Transport. 498-508 - Chiyuen Chow, Tingting Dan, Martin Styner, Guorong Wu:
Understanding Brain Dynamics Through Neural Koopman Operator with Structure-Function Coupling. 509-518 - Antoine P. Sanner, Nils F. Grauhan, Marc A. Brockmann, Ahmed E. Othman, Anirban Mukhopadhyay:
Voxel Scene Graph for Intracranial Hemorrhage. 519-529 - Xi Zhu, Wei Zhang, Yijie Li, Lauren J. O'Donnell, Fan Zhang:
When Diffusion MRI Meets Diffusion Model: A Novel Deep Generative Model for Diffusion MRI Generation. 530-540
Image Registration
- Yanan Lv, Haoze Jia, Xi Chen, Haiyang Yan, Hua Han:
Aligning and Restoring Imperfect ssEM Images for Continuity Reconstruction. 543-552 - SaeHyun Kim, Yongjin Choi, Jincheol Na, In-Seok Song, You-Sun Lee, Bo-Yeon Hwang, Ho-Kyung Lim, Seung Jun Baek:
Best of Both Modalities: Fusing CBCT and Intraoral Scan Data Into a Single Tooth Image. 553-563 - Zhe Min, Zachary M. C. Baum, Shaheer U. Saeed, Mark Emberton, Dean C. Barratt, Zeike A. Taylor, Yipeng Hu:
Biomechanics-Informed Non-rigid Medical Image Registration and its Inverse Material Property Estimation with Linear and Nonlinear Elasticity. 564-574 - Anna Reithmeir, Lina Felsner, Rickmer Braren, Julia A. Schnabel, Veronika A. Zimmer:
Data-Driven Tissue- and Subject-Specific Elastic Regularization for Medical Image Registration. 575-585 - Yi Zhang, Yidong Zhao, Lu Huang, Liming Xia, Qian Tao:
Deep-Learning-Based Groupwise Registration for Motion Correction of Cardiac T1 Mapping. 586-596 - Yongtai Zhuo, Yiqing Shen:
DiffuseReg: Denoising Diffusion Model for Obtaining Deformation Fields in Unsupervised Deformable Image Registration. 597-607 - Xinrui Song, Xuanang Xu, Pingkun Yan:
DINO-Reg: General Purpose Image Encoder for Training-Free Multi-modal Deformable Medical Image Registration. 608-617 - Long Lei, Jun Zhou, Jialun Pei, Baoliang Zhao, Yueming Jin, Jeremy Yuen-Chun Teoh, Jing Qin, Pheng-Ann Heng:
Epicardium Prompt-Guided Real-Time Cardiac Ultrasound Frame-to-Volume Registration. 618-628 - Zhenyu Li, Fan Yu, Jie Lu, Zhen Qian:
GMM-CoRegNet: A Multimodal Groupwise Registration Framework Based on Gaussian Mixture Model. 629-639 - Fanwen Wang, Yihao Luo, Ke Wen, Jiahao Huang, Pedro F. Ferreira, Yaqing Luo, Yinzhe Wu, Camila Munoz, Dudley J. Pennell, Andrew D. Scott, Sonia Nielles-Vallespin, Guang Yang:
Groupwise Deformable Registration of Diffusion Tensor Cardiovascular Magnetic Resonance: Disentangling Diffusion Contrast, Respiratory and Cardiac Motions. 640-650 - Xiaoran Zhang, Daniel H. Pak, Shawn S. Ahn, Xiaoxiao Li, Chenyu You, Lawrence H. Staib, Albert J. Sinusas, Alexandra L. N. Wong, James S. Duncan:
Heteroscedastic Uncertainty Estimation Framework for Unsupervised Registration. 651-661 - Qingrui Sha, Kaicong Sun, Mingze Xu, Yonghao Li, Zhong Xue, Xiaohuan Cao, Dinggang Shen:
Hierarchical Symmetric Normalization Registration Using Deformation-Inverse Network. 662-672 - Hao Bai, Yi Hong:
NODER: Image Sequence Regression Based on Neural Ordinary Differential Equations. 673-682 - Chongwei Wu, Xiaoyu Zeng, Hao Wang, Xu Zhang, Wei Fang, Qiang Li, Zhiwei Wang:
Noise Removed Inconsistency Activation Map for Unsupervised Registration of Brain Tumor MRI Between Pre-operative and Follow-Up Phases. 683-693 - Yuelin Xin, Yicheng Chen, Shengxiang Ji, Kun Han, Xiaohui Xie:
On-the-Fly Guidance Training for Medical Image Registration. 694-705 - Niklas Gunnarsson, Jens Sjölund, Peter Kimstrand, Thomas B. Schön:
Online Learning in Motion Modeling for Intra-interventional Image Sequences. 706-716 - Leonard Siegert, Paul Fischer, Mattias P. Heinrich, Christian F. Baumgartner:
PULPo: Probabilistic Unsupervised Laplacian Pyramid Registration. 717-727 - Nian Wu, Jiarui Xing, Miaomiao Zhang:
TLRN: Temporal Latent Residual Networks for Large Deformation Image Registration. 728-738 - Bomin Wang, Xinzhe Luo, Xiahai Zhuang:
Toward Universal Medical Image Registration via Sharpness-Aware Meta-Continual Learning. 739-748 - Lin Tian, Thomas Hastings Greer, Roland Kwitt, François-Xavier Vialard, Raúl San José Estépar, Sylvain Bouix, Richard J. Rushmore, Marc Niethammer:
uniGradICON: A Foundation Model for Medical Image Registration. 749-760 - Xinxing Cheng, Xi Jia, Wenqi Lu, Qiufu Li, Linlin Shen, Alexander Krull, Jinming Duan:
WiNet: Wavelet-Based Incremental Learning for Efficient Medical Image Registration. 761-771
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