Machine Learning in Medical Imaging

16th International Workshop, MLMI 2025, Held in Conjunction with MICCAI 2025, Daejeon, South Korea, September 23, 2025, Proceedings
Herausgegeben:Cui, Zhiming; Rekik, Islem; Suk, Heung-Il; Ouyang, Xi; Sun, Kaicong; Wang, Sheng

• Broschiertes Buch

Produktbeschreibung

This book constitutes the refereed proceedings of the 16th International Workshop on Machine Learning in Medical Imaging, MLMI 2025, held in Conjunction with MICCAI 2025, Daejeon, South Korea, on September 23, 2025.

The 65 full papers included in this book were carefully reviewed and selected from 101 submissions. They focus on advanced scientific research covering topics such as deep learning, foundation models, generative learning, and statistical methods with their applications to computer-aided diagnosis, multi-modality fusion, image reconstruction, digital pathology, and large-scale data analytics.

Produktdetails

• Lecture Notes in Computer Science 16241
• Verlag: Springer, Berlin; European Commission; Austrian Scien
• Artikelnr. des Verlages: 89586379
• Seitenzahl: 670
• Erscheinungstermin: 13. Dezember 2025
• Englisch
• Abmessung: 235mm x 155mm
• ISBN-13: 9783032095121
• ISBN-10: 3032095123
• Artikelnr.: 75474075

Inhaltsangabe

.
LGE
Guided Cross
Modality Contrastive Learning for Gadolinium
Free Cardiomyopathy Screening in Cine CMR. .
Facial Model Assisted Shape Prediction for Orthognathic Surgery. .
Joint Motion Correction of Multi
Atlas Functional Connectivity during Infancy. .
3D
ReVert: 3D Reconstruction of Vertebrae from a Single Radiograph for Minimally Invasive Spine Surgery. .
VIViT: Variable
Input Vision Transformer Framework for 3D MR Image Segmentation. .
gResDM: A Graph
driven Residual Diffusion Model for Accelerating DWI Data Acquisition. .
Semi
Supervised 3D Medical Segmentation from 2D Natural Images Pretrained Model. .
Regional Hausdorff Distance Losses for Medical Image Segmentation. .
Identification of functional brain dynamics based on structural connectivity constrained functional time series. .
MR
CLIP: Efficient Metadata
Guided Learning of MRI Contrast Representations. .
Lightweight Hypercomplex MRI Reconstruction: A Generalized Kronecker
Parameterized Approach. .
Leveraging self
supervised pretraining using transformers for enhanced lung nodule detection in CT scans. .
From Action to Anatomy
Countering Data Scarcity with Video
Based Training for Ill
Posed MRI Problems. .
Auditing Significance, Metric Choice, and Demographic Fairness in Medical AI Challenges. .
Synthesis of Abdominal Contrast
Enhanced CT using Diffusion
based Spatial Transform Control. .
AMD
Mamba: A Phenotype
Aware Multi
Modal Framework for Robust AMD Prognosis. .
DEnPL: Improved Classification in Imbalanced Medical Datasets via Data
Engineered Prototypical Metric Loss. .
A Detail
preserving Latent Diffusion Model for Arbitrarily Accelerated MR Imaging. .
TransGATNet: Hybrid Temporal
Frequency Features with Graph
Attention Transformers for Sleep Staging in OSA Patients. .
U
DFA: A Unified DINOv2
Unet with Dual Fusion Attention for Multi
Dataset Medical Segmentation. .
UniDis: Universal Distillation for Efficient and Personalized Pathology Diagnosis. .
End
to
end Cortical Surface Reconstruction from Clinical Magnetic Resonance Images. .
Brain Network Mamba: A Bi
directional State
Space Model for Brain Network Analysis on rs
fMRI. .
Emerging Semantic Segmentation from Positive and Negative Coarse Label Learning. .
ClinicalFMamba: Advancing Clinical Assessment using Mamba
based Multimodal Neuroimaging Fusion. .
TissueAgeNet: Quantitative Textual Guidance for Tissue Level Brain Age Estimation. .
Surface
Guided Construction of 4D Volumetric Atlases of Fetal Brains. .
Radiogenomic Bipartite Graph Representation Learning for Alzheimer's Disease Detection. .
Feature Imputation for Missing Modalities in Multimodal Ultrasound. .
CCMorph: Conditional Contrastive Learning for Unsupervised Medical Image Registration. .
CAC
MAE: A Calcification
aware Masked Autoencoder for Cardiovascular Disease Risk Assessment on Low
Dose CT. .
HiT
ULM: Hierarchical Temporal Dynamics Learning for Efficient Clinical Ultrasound Localization Microscopy. .
Policy to Assist Iteratively Local Segmentation: Optimising Modality and Location Selection for Prostate Cancer Localisation. .
Domain Adaptation for Ulcerative Colitis Severity Estimation Using Patient
Level Diagnoses. .
AREPAS: Anomaly Detection in Fine
Grained Anatomy with Reconstruction based Semantic Patch Scoring. .
Beyond Pixels: Medical Image Quality Assessment with Implicit Neural Representations. .
Medical Referring Image Segmentation: Addressing Multi
Lesion Reference and Annotation Uncertainty via Vision
Language Fusion. .
Towards Generalizable Clinical Knowledge Discovery for Radiology Report Generation. .
Weighted Mean Frequencies: a handcraft Fourier feature for 4D Flow MRI segmentation. .
ConnecToMind: Connectome
Aware fMRI Decoding for Visual Image Reconstruction. .
Segmentation of glioblastoma infiltration using hybrid labels from MRI and [18F]FET PET. .
Patch
level attribution of multimodal fracture risk prediction. .
Scheduled Cross
Domain Multi
Center DINO for Robust High
Content Screening Representation Learning. .
Temporal Periodic Image Registration with Implicit Neural Representations. .
Diagnosis of Blood Diseases and Disorders with Topological Deep Learning. .
Temporal Super
Resolution of Medical Images with Implicit Neural Representations. .
GyralNet Sub
network Partitioning via Differentiable Spectral Modularity Optimization. .
GRASPing Anatomy to Improve Pathology Segmentation. .
Preserving Diagnostic Details in Low
Dose CT with Frequency
Domain Guided Deep Learning. .
Evaluating structural uncertainty in accelerated MRI: are voxelwise measures useful surrogates?. .
SwinDDF: Dense Dynamic Fusion Network for 3D Segmentation of Complex
Shaped Nuclei. .
Improving Visual Search in Medical Videos with Self
Supervised Learning and Temporal Feature Integration. .
Ontology
Based Concept Distillation for Radiology Report Retrieval and Labeling. .
Automated Dental Caries Segmentation in Panoramic Radiographs Using Dual
Stage Deep Learning. .
Anatomy
Guided Semi
Supervised Registration with Combined Rigid and Label Supervision for Improved Rib Deformation Consistency. .
MultiMAE for Brain MRIs: Robustness to Missing Inputs Using Multi
Modal Masked Autoencoder. .
Attention Pooling Enhances NCA
based Classification of Microscopy Images. .
Predicting Cognitive Outcomes by Mapping White Matter Tracts to Surface. .
Bridging Brain Connectomes and Clinical Reports for Early Alzheimer's Disease Diagnosis. .
Image
Guided Liver Tumor Synthesis. .
Relation
Preserving Harmonization of Functional Connectivity Representation: Ensuring Local Functional, Longitudinal, and Population
Level Consistency. .
nnU
BNST: Deep Learning
Based Automated Segmentation of the Bed Nucleus of the Stria Terminalis. .
AGFuse
Net: Enhancing Rapid SPECT/CT Imaging via Anatomy
Guided Attention Gates and Multimodality Fusion Network. .
GMPT: General Multimodal Segmentation Model Guided by Multi
Expert Pathway. .
Diff4MMLiTS: Advanced Multimodal Liver Tumor Segmentation via Diffusion
Based Image Synthesis and Alignment.