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Anatomy

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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/arturia-pendragon-iris/hipas_av_segmentation

공식 코드

Deep learning-driven pulmonary artery and vein segmentation reveals demography-associated vasculature anatomical differences

https://github.com/avishakumar21/nonlinear-fus-with-neural-operators

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Convolutional Deep Operator Networks for Learning Nonlinear Focused Ultrasound Wave Propagation in Heterogeneous Spinal Cord Anatomy

https://github.com/b-com/anatomynlm

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Anatomy of Neural Language Models

https://github.com/barisimre/brain-morphing

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Brain-Shift: Unsupervised Pseudo-Healthy Brain Synthesis for Novel Biomarker Extraction in Chronic Subdural Hematoma

https://github.com/batmanlab/Context_Aware_SSL

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Context Matters: Graph-based Self-supervised Representation Learning for Medical Images

https://github.com/batmanlab/agxnet

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Anatomy-Guided Weakly-Supervised Abnormality Localization in Chest X-rays

https://github.com/batmanlab/medsyn

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MedSyn: Text-guided Anatomy-aware Synthesis of High-Fidelity 3D CT Images

https://github.com/baumgach/SonoNet-weights

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SonoNet: Real-Time Detection and Localisation of Fetal Standard Scan Planes in Freehand Ultrasound

https://github.com/bbbbbbzhou/APA2Seg-Net

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Anatomy-guided Multimodal Registration by Learning Segmentation without Ground Truth: Application to Intraprocedural CBCT/MR Liver Segmentation and Registration

https://github.com/bbbbbbzhou/AccSeg-Net

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Anatomy-Constrained Contrastive Learning for Synthetic Segmentation without Ground-truth

https://github.com/bbbbbbzhou/UCAN

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Synthesizing Multi-Tracer PET Images for Alzheimer's Disease Patients using a 3D Unified Anatomy-aware Cyclic Adversarial Network

https://github.com/bchimagine/fetal-brain-extraction

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Fetal-BET: Brain Extraction Tool for Fetal MRI

https://github.com/bhartidivya/aad-dce

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AAD-DCE: An Aggregated Multimodal Attention Mechanism for Early and Late Dynamic Contrast Enhanced Prostate MRI Synthesis

https://github.com/biomedia-mbzuai/xreal

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XReal: Realistic Anatomy and Pathology-Aware X-ray Generation via Controllable Diffusion Model

https://github.com/bonnerlab/scale-free-visual-cortex

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Universal scale-free representations in human visual cortex

https://github.com/brats-inpainting/2023_challenge

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The Brain Tumor Segmentation (BraTS) Challenge: Local Synthesis of Healthy Brain Tissue via Inpainting

https://github.com/byaman14/ZS-SSL

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Zero-Shot Self-Supervised Learning for MRI Reconstruction

https://github.com/cagladbahadir/LOUPE

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Deep-learning-based Optimization of the Under-sampling Pattern in MRI

https://github.com/cai4cai/defacing_pipeline

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A generalisable head MRI defacing pipeline: Evaluation on 2,566 meningioma scans

https://github.com/camma-public/cvs_annotator

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Surgical data science for safe cholecystectomy: a protocol for segmentation of hepatocystic anatomy and assessment of the critical view of safety

https://github.com/camma-public/endoscapes

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The Endoscapes Dataset for Surgical Scene Segmentation, Object Detection, and Critical View of Safety Assessment: Official Splits and Benchmark

https://github.com/camma-public/surglatentgraph

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Encoding Surgical Videos as Latent Spatiotemporal Graphs for Object and Anatomy-Driven Reasoning

https://github.com/chaoyi-wu/gpt-4v_medical_evaluation

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Can GPT-4V(ision) Serve Medical Applications? Case Studies on GPT-4V for Multimodal Medical Diagnosis

https://github.com/charlesyou999648/MONA

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Mine yOur owN Anatomy: Revisiting Medical Image Segmentation with Extremely Limited Labels

https://github.com/charlierabea/FORTE

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Towards a Holistic Framework for Multimodal Large Language Models in Three-dimensional Brain CT Report Generation

https://github.com/cherise215/atria_segmentation_2018

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Multi-Task Learning for Left Atrial Segmentation on GE-MRI

https://github.com/chinmay5/vessel_diffuse

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3D Vessel Graph Generation Using Denoising Diffusion

https://github.com/constantinseibold/chestxrayanatomysegmentation

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Accurate Fine-Grained Segmentation of Human Anatomy in Radiographs via Volumetric Pseudo-Labeling

https://github.com/costapt/vess2ret

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Towards Adversarial Retinal Image Synthesis

https://github.com/cpeng93/XraySyn

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XraySyn: Realistic View Synthesis From a Single Radiograph Through CT Priors

https://github.com/curli-quan/slide-sam

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Slide-SAM: Medical SAM Meets Sliding Window

https://github.com/cvlablums/cvgl-camera-calibration

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Camera Calibration through Geometric Constraints from Rotation and Projection Matrices

https://github.com/cyuan-sjtu/vit-asym

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Surgical Scene Segmentation by Transformer With Asymmetric Feature Enhancement

https://github.com/dadashkarimi/cascade

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Search Wide, Focus Deep: Automated Fetal Brain Extraction with Sparse Training Data

https://github.com/dae-plz/re-gips

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Novel-view X-ray Projection Synthesis through Geometry-Integrated Deep Learning

https://github.com/danyuan001/brainimgsegment

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

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