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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/mengyunq/cheart

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CHeart: A Conditional Spatio-Temporal Generative Model for Cardiac Anatomy

https://github.com/mevanekanayake/cl-mri

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CL-MRI: Self-Supervised Contrastive Learning to Improve the Accuracy of Undersampled MRI Reconstruction

https://github.com/mic-dkfz/anatomy_informed_da

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Anatomy-informed Data Augmentation for Enhanced Prostate Cancer Detection

https://github.com/michelleespranita/ct_palette

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Diffusion-based Generative Image Outpainting for Recovery of FOV-Truncated CT Images

https://github.com/miclab-unicamp/medpseg

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MEDPSeg: Hierarchical polymorphic multitask learning for the segmentation of ground-glass opacities, consolidation, and pulmonary structures on computed tomography

https://github.com/miracle-center/yolo_universal_anatomical_landmark_detection

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You Only Learn Once: Universal Anatomical Landmark Detection

https://github.com/miruna20/shape-completion-in-the-dark

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Shape Completion in the Dark: Completing Vertebrae Morphology from 3D Ultrasound

https://github.com/mli0603/tatoo

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TAToo: Vision-based Joint Tracking of Anatomy and Tool for Skull-base Surgery

https://github.com/monkeygobah/periorbital_package

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State-of-the-Art Periorbital Distance Prediction and Disease Classification Using Periorbital Features

https://github.com/mostafa-ghazi/fast-aid-brain

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FAST-AID Brain: Fast and Accurate Segmentation Tool using Artificial Intelligence Developed for Brain

https://github.com/mostafa-ghazi/mri-augmentation

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FAST-AID Brain: Fast and Accurate Segmentation Tool using Artificial Intelligence Developed for Brain

https://github.com/mrgiovanni/radgpt

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RadGPT: Constructing 3D Image-Text Tumor Datasets

https://github.com/mrgiovanni/simsid

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Exploiting Structural Consistency of Chest Anatomy for Unsupervised Anomaly Detection in Radiography Images

https://github.com/mrkolarik/transfer2d3d

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Planar 3D Transfer Learning for End to End Unimodal MRI Unbalanced Data Segmentation

https://github.com/multimodallearning/da-3dhpe-anatomy

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Anatomy-guided domain adaptation for 3D in-bed human pose estimation

https://github.com/mungomeng/densepred-fullmlp

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Full-resolution MLPs Empower Medical Dense Prediction

https://github.com/mungomeng/registration-aan

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Enhancing Medical Image Registration via Appearance Adjustment Networks

https://github.com/namjohn10/bidirectionalgaitnet

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Bidirectional GaitNet: A Bidirectional Prediction Model of Human Gait and Anatomical Conditions

https://github.com/neerakara/tta-1d-density-matching

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A Field of Experts Prior for Adapting Neural Networks at Test Time

https://github.com/neuro-ml/domain_shift_anatomy

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Anatomy of Domain Shift Impact on U-Net Layers in MRI Segmentation

https://github.com/neuropoly/deep-active-learning

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Deep Active Learning for Axon-Myelin Segmentation on Histology Data

https://github.com/ngaggion/hybridgnet_3d

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Multi-view Hybrid Graph Convolutional Network for Volume-to-mesh Reconstruction in Cardiovascular MRI

https://github.com/nick-byrne/topological-losses

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A persistent homology-based topological loss for CNN-based multi-class segmentation of CMR

https://github.com/niloide/cmr_intensity_3dmoco

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Intensity-based 3D motion correction for cardiac MR images

https://github.com/nki-ai/direct

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Recurrent Variational Network: A Deep Learning Inverse Problem Solver applied to the task of Accelerated MRI Reconstruction

https://github.com/nndt-team/nndt

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Computational anatomy atlas using multilayer perceptron with Lipschitz regularization

https://github.com/nyukat/3d_gmic

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An efficient deep neural network to find small objects in large 3D images

https://github.com/oetu/mmcl-ecg-cmr

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Unlocking the diagnostic potential of electrocardiograms through information transfer from cardiac magnetic resonance imaging

https://github.com/osome-iu/aibot_fox8

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Anatomy of an AI-powered malicious social botnet

https://github.com/ovo1111/jointimagegeneration

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GuideGen: A Text-Guided Framework for Full-torso Anatomy and CT Volume Generation

https://github.com/pedromorao/counterfactual-mri-data-augmentation

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Counterfactual MRI Data Augmentation using Conditional Denoising Diffusion Generative Models

https://github.com/peirong26/Brain-ID

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Brain-ID: Learning Contrast-agnostic Anatomical Representations for Brain Imaging

https://github.com/peirong26/PEPSI

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PEPSI: Pathology-Enhanced Pulse-Sequence-Invariant Representations for Brain MRI

https://github.com/peirong26/una

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Unraveling Normal Anatomy via Fluid-Driven Anomaly Randomization

https://github.com/philip-mueller/adpd

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Anatomy-Driven Pathology Detection on Chest X-rays

https://github.com/plan-lab/chexrelnet

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CheXRelNet: An Anatomy-Aware Model for Tracking Longitudinal Relationships between Chest X-Rays

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