Machine Learning in Medical Imaging

.- 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.