Papers Anatomy
“Anatomy” 태그가 달린 논문 1,133편 · 필터 해제
Are Vision Foundation Models Ready for Out-of-the-Box Medical Image Registration?
Foundation models, pre-trained on large image datasets and capable of capturing rich feature representations, have recently shown potential for zero-shot image registration. However, their performance has mostly been tes…
AnatomyImage RegistrationMedical Image RegistrationPSAT: Pediatric Segmentation Approaches via Adult Augmentations and Transfer Learning
Pediatric medical imaging presents unique challenges due to significant anatomical and developmental differences compared to adults. Direct application of segmentation models trained on adult data often yields suboptimal…
AnatomyContinual LearningData AugmentationSegmentation+1SV-DRR: High-Fidelity Novel View X-Ray Synthesis Using Diffusion Model
X-ray imaging is a rapid and cost-effective tool for visualizing internal human anatomy. While multi-view X-ray imaging provides complementary information that enhances diagnosis, intervention, and education, acquiring i…
AnatomyImage GenerationCausal-SAM-LLM: Large Language Models as Causal Reasoners for Robust Medical Segmentation
The clinical utility of deep learning models for medical image segmentation is severely constrained by their inability to generalize to unseen domains. This failure is often rooted in the models learning spurious correla…
AnatomyDisentanglementImage SegmentationMedical Image Segmentation+1Pose-Star: Anatomy-Aware Editing for Open-World Fashion Images
To advance real-world fashion image editing, we analyze existing two-stage pipelines(mask generation followed by diffusion-based editing)which overly prioritize generator optimization while neglecting mask controllabilit…
AnatomyX-SiT: Inherently Interpretable Surface Vision Transformers for Dementia Diagnosis
Interpretable models are crucial for supporting clinical decision-making, driving advances in their development and application for medical images. However, the nature of 3D volumetric data makes it inherently challengin…
AnatomyDecision MakingDecoderVolumetric segmentation of muscle compartments using in vivo imaging and architectural validation in human finger flexors
Segmenting muscle compartments and measuring their architecture can facilitate movement function assessment, accurate musculoskeletal modeling, and synergy-based electromyogram simulation. Here, we presented a novel meth…
AnatomySegmentationLearning from Anatomy: Supervised Anatomical Pretraining (SAP) for Improved Metastatic Bone Disease Segmentation in Whole-Body MRI
The segmentation of metastatic bone disease (MBD) in whole-body MRI (WB-MRI) is a challenging problem. Due to varying appearances and anatomical locations of lesions, ambiguous boundaries, and severe class imbalance, obt…
AnatomyInductive BiasLesion DetectionSelf-Supervised LearningConvergent and divergent connectivity patterns of the arcuate fasciculus in macaques and humans
The organization and connectivity of the arcuate fasciculus (AF) in nonhuman primates remain contentious, especially concerning how its anatomy diverges from that of humans. Here, we combined cross-scale single-neuron tr…
AnatomyDiffusion MRICF-Seg: Counterfactuals meet Segmentation
Segmenting anatomical structures in medical images plays an important role in the quantitative assessment of various diseases. However, accurate segmentation becomes significantly more challenging in the presence of dise…
AnatomycounterfactualDecision MakingSegmentationViT-NeBLa: A Hybrid Vision Transformer and Neural Beer-Lambert Framework for Single-View 3D Reconstruction of Oral Anatomy from Panoramic Radiographs
Dental diagnosis relies on two primary imaging modalities: panoramic radiographs (PX) providing 2D oral cavity representations, and Cone-Beam Computed Tomography (CBCT) offering detailed 3D anatomical information. While …
3D ReconstructionAnatomyDiagnosticSingle-View 3D ReconstructionImproving Prostate Gland Segmenting Using Transformer based Architectures
Inter reader variability and cross site domain shift challenge the automatic segmentation of prostate anatomy using T2 weighted MRI images. This study investigates whether transformer models can retain precision amid suc…
AnatomyComputational EfficiencyOn the performance of multi-fidelity and reduced-dimensional neural emulators for inference of physiologic boundary conditions
Solving inverse problems in cardiovascular modeling is particularly challenging due to the high computational cost of running high-fidelity simulations. In this work, we focus on Bayesian parameter estimation and explore…
AnatomyDimensionality Reductionparameter estimationAnatomy-Grounded Weakly Supervised Prompt Tuning for Chest X-ray Latent Diffusion Models
Latent Diffusion Models have shown remarkable results in text-guided image synthesis in recent years. In the domain of natural (RGB) images, recent works have shown that such models can be adapted to various vision-langu…
AnatomyImage GenerationPhrase GroundingAutomatic Treatment Planning using Reinforcement Learning for High-dose-rate Prostate Brachytherapy
Purpose: In high-dose-rate (HDR) prostate brachytherapy procedures, the pattern of needle placement solely relies on physician experience. We investigated the feasibility of using reinforcement learning (RL) to provide n…
AnatomyReinforcement Learning (RL)Towards Cross-Subject EMG Pattern Recognition via Dual-Branch Adversarial Feature Disentanglement
Cross-subject electromyography (EMG) pattern recognition faces significant challenges due to inter-subject variability in muscle anatomy, electrode placement, and signal characteristics. Traditional methods rely on subje…
AnatomyDisentanglementElectromyography (EMG)SakugaFlow: A Stagewise Illustration Framework Emulating the Human Drawing Process and Providing Interactive Tutoring for Novice Drawing Skills
While current AI illustration tools can generate high-quality images from text prompts, they rarely reveal the step-by-step procedure that human artists follow. We present SakugaFlow, a four-stage pipeline that pairs dif…
AnatomyImage GenerationLanguage ModelingLanguage Modelling+1Biologically Inspired Deep Learning Approaches for Fetal Ultrasound Image Classification
Accurate classification of second-trimester fetal ultrasound images remains challenging due to low image quality, high intra-class variability, and significant class imbalance. In this work, we introduce a simple yet pow…
AnatomyDeep Learningimage-classificationImage ClassificationToward Reliable AR-Guided Surgical Navigation: Interactive Deformation Modeling with Data-Driven Biomechanics and Prompts
In augmented reality (AR)-guided surgical navigation, preoperative organ models are superimposed onto the patient's intraoperative anatomy to visualize critical structures such as vessels and tumors. Accurate deformation…
AnatomyComputational EfficiencyDM-SegNet: Dual-Mamba Architecture for 3D Medical Image Segmentation with Global Context Modeling
Accurate 3D medical image segmentation demands architectures capable of reconciling global context modeling with spatial topology preservation. While State Space Models (SSMs) like Mamba show potential for sequence model…
AnatomyBrain Tumor SegmentationDecoderImage Segmentation+7