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MICCAI 2025

A

International Conference on Medical Image Computing and Computer Assisted Intervention

Official site ↗
1,874
accepted papers
1,788
authors
Sep 23-27, 2025
dates
Republic of Korea
location

1,874 / 1,874 papers

  1. 1
    2D to 3D MR Image Super-Resolution Using Cross-Contrast Guidance
    Zheng Zhang
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  2. 2
    2D/3D Registration of Acetabular Hip Implants Under Perspective Projection and Fully Differentiable Ellipse Fitting
    Yehyun Suh
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  3. 3
    3D Acetabular Surface Reconstruction from 2D Pre-operative X-Ray Images Using SRVF Elastic Registration and Deformation Graph
    Shuai Zhang
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  4. 4
    3D CBCT Artefact Removal Using Perpendicular Score-Based Diffusion Models
    Susanne Schaub
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  5. 5
    3D CT-Based Coronary Calcium Assessment: A Feature-Driven Machine Learning Framework
    Ayman Abaid
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  6. 6
    3D Dental Arch Curve Detection from CBCT Images and Its Applications to Tooth Segmentation
    Benxiang Jiang
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  7. 7
    3D Dynamic Prediction of Missing Teeth in Diverse Patterns via Centroid-Prompted Diffusion Model
    Zongrui Ji
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  8. 8
    3D Heart Reconstruction from Sparse Pose-Agnostic 2D Echocardiographic Slices
    Zhurong Chen
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  9. 9
    3D Reconstruction of Coronary Vessel Trees from Biplanar X-Ray Images Using a Geometric Approach
    Ethan Koland
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  10. 10
    3D Super-Resolution for Enhancing Compression Fracture Detection in Thick-Slice CT: Diffusion Models vs GANs
    Akira Kudo
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  11. 11
    3D Ultrasound Volume Reconstruction Using a CNN-Transformer Model and IMU Data
    Mark Wijkhuizen
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  12. 12
    3D Vision-Language Models with Segmentation-Guided Multimodal Data for Spinal MRI Report Generation
    Hoda Helmy
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  13. 13
    4D CardioSynth: Synthesising Dynamic Virtual Heart Populations Through Spatiotemporal Disentanglement
    Haoran Dou
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  14. 14
    6D Object Pose Tracking for Orthopedic Surgical Training Using Visual-Inertial Sensor Fusion
    Maarten Hogenkamp
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  15. 15
    A 3D Vision Transformer Trained with Synthetic and Real MRI Data for Enhancing ULF-MRI
    Peter Hsu
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  16. 16
    A Bag of Tricks for Real-Time Mitotic Figure Detection
    Christian Marzahl
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  17. 17
    A Biophysically-Conditioned Generative Framework for 3D Brain Tumor MRI Synthesis
    Valentin Biller
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  18. 18
    A Boundary-Aware Cold-Diffusion Model for Electron Microscopy Segmentation
    Muge Qi
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  19. 19
    A Causal-Holistic Adaptive Intervention Network for Tailoring Automated Coronary Artery Disease Diagnosis to Individual Patients
    Xinghua Ma
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  20. 20
    A Causality-Inspired Model for Intima-Media Thickening Assessment in Ultrasound Videos
    Shuo Gao
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  21. 21
    A Clinically-Informed Benchmark for Topology-Aware Coronary Artery Segmentation
    César Acebes
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  22. 22
    A Composite Alignment-Aware Framework for Myocardial Lesion Segmentation in Multi-sequence CMR Images
    Yifan Gao
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  23. 23
    A Comprehensive Pipeline for Aortic Segmentation and Shape Analysis
    Nairouz Shehata
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  24. 24
    A Curvature-Guided Diffeomorphic Mesh Deformation Framework for Lifespan Brain Cortical Surface Reconstruction
    Lin Teng
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  25. 25
    A Data-Driven Workflow for Real-Time Hand Tracking in Surgical Video
    Konstantinos Georgas
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  26. 26
    A Dataset and Benchmark for Enhancing Retained Foreign Object Detection Through Physics-Based Image Synthesis
    Liwei Zhou
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  27. 27
    A Diffusion-Driven Temporal Super-Resolution and Spatial Consistency Enhancement Framework for 4D MRI imaging
    Xuanru Zhou
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  28. 28
    A Domain-Inspired, Semi-supervised nnU-Net Is All You Need for Primary Breast Cancer Segmentation
    Daan Schouten
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  29. 29
    A Dual-Attention RNN for Repeat PCI Prediction Using EHRs
    Seunga Lee
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  30. 30
    A Fast, Lightweight nnUNet-Based Brain Tumor Segmentation Model Optimized for Low-Resource African Settings
    John Emeka
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  31. 31
    A Flexible Deep Learning Framework for Survival Analysis with Medical Data
    Gabriele Campanella
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  32. 32
    A Frequency-Aware Self-supervised Learning for Ultra-Wide-Field Image Enhancement
    Weicheng Liao
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  33. 33
    A Holistic Time-Aware Classification Model for Multimodal Longitudinal Patient Data
    Tobias Susetzky
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  34. 34
    A Hybrid Contrastive Ordinal Regression Method for Advancing Disease Severity Assessment in Imbalanced Medical Datasets
    Afsah Saleem
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  35. 35
    A Hybrid Fully Convolutional CNN-Transformer Model for Inherently Interpretable Disease Detection from Retinal Fundus Images
    Kerol Djoumessi
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  36. 36
    A Large-Scale Neural Model Inversion Framework for Effective Connectivity Estimation
    Guoshi Li
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  37. 37
    A Latent-Guided Hybrid Architecture for Liver Segmentation in Contrast-Enhanced MRI
    Ting Yu Tsai
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  38. 38
    A Learning Framework for Predicting CT-Based PRM Biomarker from MRI Sequences in COPD
    Yiling Xu
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  39. 39
    A Lifesaving Foundation: Leveraging Foundation Models for Recognizing and Anticipating Medical Procedure Actions
    Adrian Leon Lindloff
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  40. 40
    A Methodology for Clinically Driven Interactive Segmentation Evaluation
    Parhom Esmaeili
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  41. 41
    A Model Order-Free Method for Stable States Extraction in Dynamic Functional Connectivity
    Songke Fang
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  42. 42
    A Modular Deep-Learning Pipeline for Automated Aorta Characterization on CT
    Loris Giordano
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  43. 43
    A Multi-Branch Framework for Cross-Domain Vessel Segmentation via the Few-Shot Paradigm
    Zihang Huang
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  44. 44
    A Multi-modal Deep Learning Framework for Head and Neck Tumor Segmentation and Survival Prediction
    Fuyou Mao
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  45. 45
    A Multi-task Neural Network for Atypical Mitosis Recognition Under Domain Shift
    Gennaro Percannella
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  46. 46
    A Multimodal Contrastive Learning for Detecting Aortic Dissection on 3D Non-contrast CT with Anatomy Simplification
    Duoer Zhang
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  47. 47
    A Multitask Learning Approach for Segmenting Brain Tumor Sub-regions: Towards Better Generalization
    Mumu Aktar
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  48. 48
    A New Paradigm for Low-Dose PET/CT Reconstruction with Mamba-Powered Progressive Network and Physics-Informed Consistency
    Zixin Tang
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  49. 49
    A Non-contrast Head CT Foundation Model for Comprehensive Neuro-Trauma Triage
    Youngjin Yoo
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  50. 50
    A Novel ED Triage Framework Using Conditional Imputation, Multi-scale Semantic Learning, and Cross-Modal Fusion
    Yi Xiao
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