Machine Learning in Medical Imaging, Kartoniert / Broschiert

Blurb

.- 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-Cont