Papers with Code 아카이브
Anatomy
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/starbucks-drinker/mi-segnet
공식 코드MI-SegNet: Mutual Information-Based US Segmentation for Unseen Domain Generalization
https://github.com/stjude/deepmrirec
공식 코드https://github.com/sunnychencool/Anatomy3D
공식 코드Anatomy-aware 3D Human Pose Estimation with Bone-based Pose Decomposition
https://github.com/surgical-vision/servcttk
공식 코드SERV-CT: A disparity dataset from CT for validation of endoscopic 3D reconstruction
https://github.com/tarolangner/mri-biometry
공식 코드Large-scale biometry with interpretable neural network regression on UK Biobank body MRI
https://github.com/tarolangner/ukb_segmentation
공식 코드Kidney segmentation in neck-to-knee body MRI of 40,000 UK Biobank participants
https://github.com/thanosvlo/MARL-for-Anatomical-Landmark-Detection
공식 코드Multiple Landmark Detection using Multi-Agent Reinforcement Learning
https://github.com/tiangexiang/squid
공식 코드SQUID: Deep Feature In-Painting for Unsupervised Anomaly Detection
https://github.com/tinolan/curve_fit_multi_idif
공식 코드https://github.com/tvaranka/fineface
공식 코드Towards Localized Fine-Grained Control for Facial Expression Generation
https://github.com/uark-aicv/fg-cxr
공식 코드https://github.com/ucl-candi/freehand
공식 코드Privileged Anatomical and Protocol Discrimination in Trackerless 3D Ultrasound Reconstruction
https://github.com/uncbiag/unigradicon
공식 코드multiGradICON: A Foundation Model for Multimodal Medical Image Registration
https://github.com/urbslab/streamline
공식 코드https://github.com/uw-bionlp/camir
공식 코드https://github.com/uw-bionlp/mimic-cxr_clinical_findings
공식 코드Event-based clinical findings extraction from radiology reports with pre-trained language model
https://github.com/v-sundaresan/fiberbundle_seg_tracing
공식 코드https://github.com/valette/frog
공식 코드https://github.com/veronicacorona/multicontrastSegmentation
공식 코드https://github.com/vios-s/DAA-GAN
공식 코드Controllable cardiac synthesis via disentangled anatomy arithmetic
https://github.com/vios-s/multimodal_segmentation
공식 코드Disentangle, align and fuse for multimodal and semi-supervised image segmentation
https://github.com/vios-s/vmfnet
공식 코드vMFNet: Compositionality Meets Domain-generalised Segmentation
https://github.com/voanna/slices-to-3d-brain-vae
공식 코드Modelling the Distribution of 3D Brain MRI using a 2D Slice VAE
https://github.com/vuenc/slice-to-shape
공식 코드On the Localization of Ultrasound Image Slices within Point Distribution Models
https://github.com/wanderinrain/xray2ct
공식 코드CT Reconstruction from Few Planar X-rays with Application towards Low-resource Radiotherapy
https://github.com/wangkaihong/hadm
공식 코드https://github.com/wd111624/cmr_plan
공식 코드https://github.com/wlsdzyzl/flemme
공식 코드Hierarchical Feature Learning for Medical Point Clouds via State Space Model
https://github.com/xamyzhao/brainstorm
공식 코드Data augmentation using learned transformations for one-shot medical image segmentation
https://github.com/xiaobo-guo/The-Computational-Anatomy-of-Humility-Modeling-Intellectual-Humility-in-Online-Public-Discourse
공식 코드The Computational Anatomy of Humility: Modeling Intellectual Humility in Online Public Discourse
https://github.com/xiat0616/BrainAgeing
공식 코드Learning to synthesise the ageing brain without longitudinal data
https://github.com/xiechun298/sv-drr
공식 코드SV-DRR: High-Fidelity Novel View X-Ray Synthesis Using Diffusion Model
https://github.com/xmed-lab/C2RV-CBCT
공식 코드C^2RV: Cross-Regional and Cross-View Learning for Sparse-View CBCT Reconstruction
https://github.com/xmed-lab/sdaof
공식 코드Spatial-Division Augmented Occupancy Field for Bone Shape Reconstruction from Biplanar X-Rays
https://github.com/xujiahuayz/pumpdump
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.