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Anatomy

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이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.

X-SiT: Inherently Interpretable Surface Vision Transformers for Dementia Diagnosis

Are Vision Foundation Models Ready for Out-of-the-Box Medical Image Registration?

PSAT: Pediatric Segmentation Approaches via Adult Augmentations and Transfer Learning

SV-DRR: High-Fidelity Novel View X-Ray Synthesis Using Diffusion Model

Pose-Star: Anatomy-Aware Editing for Open-World Fashion Images

Causal-SAM-LLM: Large Language Models as Causal Reasoners for Robust Medical Segmentation

Volumetric segmentation of muscle compartments using in vivo imaging and architectural validation in human finger flexors

Convergent and divergent connectivity patterns of the arcuate fasciculus in macaques and humans

Learning from Anatomy: Supervised Anatomical Pretraining (SAP) for Improved Metastatic Bone Disease Segmentation in Whole-Body MRI

CF-Seg: Counterfactuals meet Segmentation

ViT-NeBLa: A Hybrid Vision Transformer and Neural Beer-Lambert Framework for Single-View 3D Reconstruction of Oral Anatomy from Panoramic Radiographs

Improving Prostate Gland Segmenting Using Transformer based Architectures

On the performance of multi-fidelity and reduced-dimensional neural emulators for inference of physiologic boundary conditions

Anatomy-Grounded Weakly Supervised Prompt Tuning for Chest X-ray Latent Diffusion Models

Automatic Treatment Planning using Reinforcement Learning for High-dose-rate Prostate Brachytherapy

SakugaFlow: A Stagewise Illustration Framework Emulating the Human Drawing Process and Providing Interactive Tutoring for Novice Drawing Skills

Towards Cross-Subject EMG Pattern Recognition via Dual-Branch Adversarial Feature Disentanglement

Biologically Inspired Deep Learning Approaches for Fetal Ultrasound Image Classification

Toward Reliable AR-Guided Surgical Navigation: Interactive Deformation Modeling with Data-Driven Biomechanics and Prompts

DM-SegNet: Dual-Mamba Architecture for 3D Medical Image Segmentation with Global Context Modeling

Personalized MR-Informed Diffusion Models for 3D PET Image Reconstruction

LASPA: Language Agnostic Speaker Disentanglement with Prefix-Tuned Cross-Attention

Are Pixel-Wise Metrics Reliable for Sparse-View Computed Tomography Reconstruction?

Deformable registration and generative modelling of aortic anatomies by auto-decoders and neural ODEs

MR2US-Pro: Prostate MR to Ultrasound Image Translation and Registration Based on Diffusion Models

A Novel Coronary Artery Registration Method Based on Super-pixel Particle Swarm Optimization

ImmunoDiff: A Diffusion Model for Immunotherapy Response Prediction in Lung Cancer

Improved Accuracy in Pelvic Tumor Resections Using a Real-Time Vision-Guided Surgical System

Surf2CT: Cascaded 3D Flow Matching Models for Torso 3D CT Synthesis from Skin Surface

Multipath cycleGAN for harmonization of paired and unpaired low-dose lung computed tomography reconstruction kernels

Are Vision Language Models Ready for Clinical Diagnosis? A 3D Medical Benchmark for Tumor-centric Visual Question Answering

PolyPose: Localizing Deformable Anatomy in 3D from Sparse 2D X-ray Images using Polyrigid Transforms

Anatomy-Guided Multitask Learning for MRI-Based Classification of Placenta Accreta Spectrum and its Subtypes

Dual Attention Residual U-Net for Accurate Brain Ultrasound Segmentation in IVH Detection

Explainable Anatomy-Guided AI for Prostate MRI: Foundation Models and In Silico Clinical Trials for Virtual Biopsy-based Risk Assessment

BOTM: Echocardiography Segmentation via Bi-directional Optimal Token Matching

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.