| Title | Code | |
|---|---|---|
| A denoised Mean Teacher for domain adaptive point cloud registration | ||
| A Patient-Specific Self-supervised Model for Automatic X-ray/CT Registration | ||
| An Unsupervised Multispectral Image Registration Network for Skin Diseases | ||
| Co-Learning Semantic-aware Unsupervised Segmentation for Pathological Image Registration | ||
| CortexMorph: fast cortical thickness estimation via diffeomorphic registration using VoxelMorph | ||
| DISA: DIfferentiable Similarity Approximation for Universal Multimodal Registration | ||
| FSDiffReg: Feature-wise and Score-wise Diffusion-guided Unsupervised Deformable Image Registration for Cardiac Images | ||
| GSMorph: Gradient Surgery for cine-MRI Cardiac Deformable Registration | ||
| Implicit neural representations for joint decomposition and registration of gene expression images in the marmoset brain | ||
| Inverse Consistency by Construction for Multistep Deep Registration | ||
| Learning Expected Appearances for Intraoperative Registration during Neurosurgery | ||
| ModeT: Learning Deformable Image Registration via Motion Decomposition Transformer | ||
| Non-iterative Coarse-to-fine Transformer Networks for Joint Affine and Deformable Image Registration | ||
| PIViT: Large Deformation Image Registration with Pyramid-Iterative Vision Transformer | ||
| Unsupervised 3D registration through optimization-guided cyclical self-training | ||
| X-Ray to CT Rigid Registration Using Scene Coordinate Regression |
| Title | Code | |
|---|---|---|
| 3D Arterial Segmentation via Single 2D Projections and Depth Supervision in Contrast-Enhanced CT Images | code | |
| 3D Dental Mesh Segmentation Using Semantics-Based Feature Learning with Graph-Transformer | code | |
| 3D Medical Image Segmentation with Sparse Annotation via Cross-Teaching between 3D and 2D Networks | ||
| 3D Mitochondria Instance Segmentation with Spatio-Temporal Transformers | ||
| A Sheaf Theoretic Perspective for Robust Prostate Segmentation | ||
| A Video-based End-to-end Pipeline for Non-nutritive Sucking Action Recognition and Segmentation in Young Infants | ||
| A2FSeg: Adaptive Multi-Modal Fusion Network for Medical Image Segmentation | ||
| ACTION++: Improving Semi-supervised Medical Image Segmentation with Adaptive Anatomical Contrast | ||
| Adaptive Multi-scale Online Likelihood Network for AI-assisted Interactive Segmentation | ||
| Adaptive Region Selection for Active Learning in Whole Slide Image Semantic Segmentation | ||
| Adult-like Phase and Multi-scale Assistance for Isointense Infant Brain Tissue Segmentation | ||
| AME-CAM: Attentive Multiple-Exit CAM for Weakly Supervised Segmentation on MRI Brain Tumor | ||
| An Anti-Biased TBSRTC-Category Aware Nuclei Segmentation Framework with A Multi-Label Thyroid Cytology Benchmark | ||
| An automated pipeline for quantitative T2* fetal body MRI and segmentation at low field | ||
| Annotator Consensus Prediction for Medical Image Segmentation with Diffusion Models | ||
| Ariadne's Thread: Using Text Prompts to Improve Segmentation of Infected Areas from Chest X-ray images | ||
| Asymmetric Contour Uncertainty Estimation for Medical Image Segmentation | ||
| atTRACTive: Semi-automatic white matter tract segmentation using active learning | ||
| Automatic Segmentation of Internal Tooth Structure from CBCT Images using Hierarchical Deep Learning | ||
| BerDiff: Conditional Bernoulli Diffusion Model for Medical Image Segmentation | ||
| Boundary Difference Over Union Loss For Medical Image Segmentation | ||
| Boundary-weighted logit consistency improves calibration of segmentation networks | ||
| CAS-Net: Cross-view Aligned Segmentation by Graph Representation of Knees | ||
| Certification of Deep Learning Models for Medical Image Segmentation | ||
| Class-Aware Feature Alignment for Domain Adaptative Mitochondria Segmentation | ||
| CoactSeg: Learning from Heterogeneous Data for New Multiple Sclerosis Lesion Segmentation | ||
| Co-Learning Semantic-aware Unsupervised Segmentation for Pathological Image Registration | ||
| Collaborative modality generation and tissue segmentation for early-developing macaque brain MR images | ||
| COLosSAL: A Benchmark for Cold-start Active Learning for 3D Medical Image Segmentation | ||
| Conditional Diffusion Models for Weakly Supervised Medical Image Segmentation | ||
| Consistency-guided Meta-Learning for Bootstrapping Semi-Supervised Medical Image Segmentation | ||
| Context-Aware Pseudo-Label Refinement for Source-Free Domain Adaptive Fundus Image Segmentation | ||
| ConvFormer: Plug-and-Play CNN-Style Transformers for Improving Medical Image Segmentation | ||
| Correlation-Aware Mutual Learning for Semi-supervised Medical Image Segmentation | ||
| Cross-adversarial local distribution regularization for semi-supervised medical image segmentation | ||
| DARC: Distribution-Aware Re-Coloring Model for Generalizable Nucleus Segmentation | ||
| DBTrans: A Dual-Branch Vision Transformer for Multi-modal Brain Tumor Segmentation | ||
| Decoupled Consistency for Semi-supervised Medical Image Segmentation | ||
| Deep Mutual Distillation for Semi-Supervised Medical Image Segmentation | ||
| Democratizing Pathological Image Segmentation with Lay Annotators via Molecular-empowered Learning | ||
| Developing Large Pre-trained Model for Breast Tumor Segmentation from Ultrasound Images | ||
| Devil is in Channels: Contrastive Single Domain Generalization for Medical Image Segmentation | ||
| DHC: Dual-debiased Heterogeneous Co-training Framework for Class-imbalanced Semi-supervised Medical Image Segmentation | ||
| DiffMix: Diffusion Model-based Data Synthesis for Nuclei Segmentation and Classification in Imbalanced Pathology Image Datasets | ||
| Diffusion Kinetic Model for Breast Cancer Segmentation in Incomplete DCE-MRI | ||
| Domain Adaptation for Medical Image Segmentation using Transformation-Invariant Self-Training | ||
| Domain-agnostic segmentation of thalamic nuclei from joint structural and diffusion MRI | ||
| Dose Guidance for Radiotherapy-oriented Deep Learning Segmentation | ||
| EdgeAL: An Edge Estimation Based Active Learning Approach for OCT Segmentation | ||
| EdgeMixup: Embarrassingly Simple Data Alteration to Improve Lyme Disease Lesion Segmentation and Diagnosis Fairness | ||
| Efficient Subclass Segmentation in Medical Images | ||
| EGE-UNet: an Efficient Group Enhanced UNet for skin lesion segmentation | ||
| EoFormer: Edge-oriented Transformer for Brain Tumor Segmentation | ||
| Evolutionary normalization optimization boosts semantic segmentation network performance | ||
| Eye-Guided Dual-Path Network for Multi-organ Segmentation of Abdomen | ||
| Factor Space and Spectrum for Medical Hyperspectral Image Segmentation | ||
| FEDD - Fair, Efficient, and Diverse Diffusion-based Lesion Segmentation and Malignancy Classification | ||
| Few-Shot Medical Image Segmentation via a Region-enhanced Prototypical Transformer | ||
| Fine-grained Hand Bone Segmentation via Adaptive Multi-dimensional Convolutional Network and Anatomy-constraint Loss | ||
| Frequency Domain Adversarial Training for Robust Volumetric Medical Segmentation | ||
| Frequency-mixed Single-source Domain Generalization for Medical Image Segmentation | ||
| GL-Fusion: Global-Local Fusion Network for Multi-view Echocardiogram Video Segmentation | ||
| Guiding the Guidance: A Comparative Analysis of User Guidance Signals for Interactive Segmentation of Volumetric Images | ||
| H-DenseFormer: An Efficient Hybrid Densely Connected Transformer for Multimodal Tumor Segmentation | ||
| HENet: Hierarchical Enhancement Network for Pulmonary Vessel Segmentation in Non-contrast CT Images | ||
| Implicit Anatomical Rendering for Medical Image Segmentation with Stochastic Experts | ||
| Instructive Feature Enhancement for Dichotomous Medical Image Segmentation | ||
| Ischemic stroke segmentation from a cross-domain representation in multimodal diffusion studies | ||
| Joint Dense-Point Representation for Contour-Aware Graph Segmentation | ||
| Joint Segmentation and Sub-Pixel Localization in Structured Light Laryngoscopy | ||
| Learnable Query Initialization for Surgical Instrument Instance Segmentation | ||
| Learning Ontology-based Hierarchical Structural Relationship for Whole Brain Segmentation | ||
| Learning Transferable Object-Centric Diffeomorphic Transformations for Data Augmentation in Medical Image Segmentation | ||
| Masked Frequency Consistency for Domain-Adaptive Semantic Segmentation of Laparoscopic Images | ||
| Maximum Entropy on Erroneous Predictions: Improving model calibration for medical image segmentation | ||
| MDViT: Multi-domain Vision Transformer for Small Medical Image Segmentation Datasets | ||
| Medical Boundary Diffusion Model for Skin Lesion Segmentation | ||
| MedNeXt: Transformer-driven Scaling of ConvNets for Medical Image Segmentation | ||
| M-GenSeg: Domain Adaptation For Target Modality Tumor Segmentation With Annotation-Efficient Supervision | ||
| MI-SegNet: Mutual Information-Based US Segmentation for Unseen Domain Generalization | ||
| Morphology-inspired Unsupervised Gland Segmentation via Selective Semantic Grouping | ||
| Multi-shot Prototype Contrastive Learning and Semantic Reasoning for Medical Image Segmentation | ||
| MultiTalent: A Multi-Dataset Approach to Medical Image Segmentation | ||
| Multi-Target Domain Adaptation with Prompt Learning for Medical Image Segmentation | ||
| NISF: Neural Implicit Segmentation Functions | ||
| One-Shot Traumatic Brain Segmentation with Adversarial Training and Uncertainty Rectification | ||
| Partial Vessels Annotation-based Coronary Artery Segmentation with Self-training and Prototype Learning | ||
| Pelvic Fracture Segmentation Using a Multi-scale Distance-weighted Neural Network | ||
| Pick and Trace: Instance Segmentation for Filamentous Objects with a Recurrent Neural Network | ||
| Pick the Best Pre-trained Model: Towards Transferability Estimation for Medical Image Segmentation | ||
| PLD-AL: Pseudo-Label Divergence-Based Active Learning in Carotid Intima-Media Segmentation for Ultrasound Images | ||
| Probabilistic Modeling Ensemble Vision Transformer Improves Complex Polyp Segmentation | ||
| Punctate White Matter Lesion Segmentation in Preterm Infants Powered by Counterfactually Generative Learning | ||
| QCResUNet: Joint Subject-level and Voxel-level Prediction of Segmentation Quality | ||
| RBGNet: Reliable Boundary-Guided Segmentation of Choroidal Neovascularization | ||
| Rectifying Noisy Labels with Sequential Prior: Multi-Scale Temporal Feature Affinity Learning for Robust Video Segmentation | ||
| Robust and Generalisable Segmentation of Subtle Epilepsy-causing Lesions: a Graph Convolutional Approach | ||
| Robust Segmentation via Topology Violation Detection and Feature Synthesis | ||
| S2ME: Spatial-Spectral Mutual Teaching and Ensemble Learning for Scribble-supervised Polyp Segmentation | ||
| Scale-aware Test-time Click Adaptation for Pulmonary Nodule and Mass Segmentation | ||
| Scaling Up 3D Kernels with Bayesian Frequency Re-Parameterization for Medical Image Segmentation | ||
| Segmentation Distortion: Quantifying Segmentation Uncertainty under Domain Shift via the Effects of Anomalous Activations | ||
| Segmentation of Kidney Tumors on Non-Contrast CT Images using Protuberance Detection Network | ||
| Self-adaptive Adversarial Training for Robust Medical Segmentation | ||
| Self-aware and Cross-sample Prototypical Learning for Semi-supervised Medical Image Segmentation | ||
| Self-supervised learning via inter-modal reconstruction and feature projection networks for label-efficient 3D-to-2D segmentation | ||
| Semantic difference guidance for the uncertain boundary segmentation of CT left atrial appendage | ||
| Semantic segmentation of surgical hyperspectral images under geometric domain shifts | ||
| Semi-supervised Class Imbalanced Deep Learning for Cardiac MRI Segmentation | ||
| Semi-supervised Domain Adaptive Medical Image Segmentation through Consistency Regularized Disentangled Contrastive Learning | ||
| Shape-Aware 3D Small Vessel Segmentation with Local Contrast Guided Attention | ||
| Shifting More Attention to Breast Lesion Segmentation in Ultrasound Videos | ||
| SimPLe: Similarity-Aware Propagation Learning for Weakly-Supervised Breast Cancer Segmentation in DCE-MRI | ||
| Source-Free Domain Adaptation for Medical Image Segmentation via Prototype-Anchored Feature Alignment and Contrastive Learning | ||
| Source-Free Domain Adaptive Fundus Image Segmentation with Class-Balanced Mean Teacher | ||
| Spinal nerve segmentation method and dataset construction in endoscopic surgical scenarios | ||
| SwinMM: Masked Multi-view with Swin Transformers for 3D Medical Image Segmentation | ||
| SwinUNETR-V2: Stronger Swin Transformers with Stagewise Convolutions for 3D Medical Image Segmentation | ||
| SwIPE: Efficient and Robust Medical Image Segmentation with Implicit Patch Embeddings | ||
| Towards AI-driven radiology education: A self-supervised segmentation-based framework for high-precision medical image editing | ||
| Towards Expert-Amateur Collaboration: Prototypical Label Isolation Learning for Left Atrium Segmentation with Mixed-Quality Labels | ||
| TPRO: Text-prompting-based Weakly Supervised Histopathology Tissue Segmentation | ||
| Transferability-Guided Multi-Source Model Adaptation for Medical Image Segmentation | ||
| Transformer-based Annotation Bias-aware Medical Image Segmentation | ||
| TransNuSeg: A Lightweight Multi-Task Transformer for Nuclei Segmentation | ||
| Treasure in Distribution: A Domain Randomization based Multi-Source Domain Generalization for 2D Medical Image Segmentation | ||
| TSegFormer: 3D Tooth Segmentation in Intraoral Scans with Geometry Guided Transformer | ||
| Uncertainty and Shape-Aware Continual Test-Time Adaptation for Cross-Domain Segmentation of Medical Images | ||
| Uncertainty-informed Mutual Learning for Joint Medical Image Classification and Segmentation | ||
| UniSeg: A Prompt-driven Universal Segmentation Model as well as A Strong Representation Learner | ||
| Unpaired Cross-modal Interaction Learning for COVID-19 Segmentation on Limited CT images | ||
| UPCoL: Uncertainty-informed Prototype Consistency Learning for Semi-supervised Medical Image Segmentation | ||
| VISA-FSS: A Volume-Informed Self Supervised Approach for Few-Shot 3D Segmentation | ||
| Weakly Supervised Medical Image Segmentation via Superpixel-guided Scribble Walking and Class-wise Contrastive Regularization | ||
| WeakPolyp: You Only Look Bounding Box for Polyp Segmentation |
| Title | Code | |
|---|---|---|
| A Multi-Task Method for Immunofixation Electrophoresis Image Classification | code | |
| CARL: Cross-aligned Representation Learning for Multi-view Lung Cancer Histology Classification | code | |
| CellGAN: Conditional Cervical Cell Synthesis for Augmenting Cytopathological Image Classification | ||
| Chest X-ray Image Classification: A Causal Perspective | ||
| Combat Long-tails in Medical Classification with Relation-aware Consistency and Virtual Features Compensation | ||
| cOOpD: Reformulating COPD classification on chest CT scans as anomaly detection using contrastive representations | ||
| COVID-19 Pneumonia Classification with Transformer from Incomplete Modalities | ||
| Cross-Dataset Adaptation for Instrument Classification in Cataract Surgery Videos | ||
| Cross-modulated Few-shot Image Generation for Colorectal Tissue Classification | ||
| DAS-MIL: Distilling Across Scales for MIL Classification of Histological WSIs | ||
| DiffMIC: Dual-Guidance Diffusion Network for Medical Image Classification | ||
| DiffMix: Diffusion Model-based Data Synthesis for Nuclei Segmentation and Classification in Imbalanced Pathology Image Datasets | ||
| Dynamic Curriculum Learning via In-Domain Uncertainty for Medical Image Classification | ||
| ECL: Class-Enhancement Contrastive Learning for Long-tailed Skin Lesion Classification | ||
| Explainable Image Classification with Improved Trustworthiness for Tissue Characterisation | ||
| FairAdaBN: Mitigating unfairness with adaptive batch normalization and its application to dermatological disease classification | ||
| FEDD - Fair, Efficient, and Diverse Diffusion-based Lesion Segmentation and Malignancy Classification | ||
| FedIIC: Towards Robust Federated Learning for Class-Imbalanced Medical Image Classification | ||
| Fundus-Enhanced Disease-Aware Distillation Model for Retinal Disease Classification from OCT Images | ||
| Gene-induced Multimodal Pre-training for Image-omic Classification | ||
| HC-Net: Hybrid Classification Network for Automatic Periodontal Disease Diagnosis | ||
| Histopathology Image Classification using Deep Manifold Contrastive Learning | ||
| Interpretable Medical Image Classification using Prototype Learning and Privileged Information | ||
| Iteratively Coupled Multiple Instance Learning from Instance to Bag Classifier for Whole Slide Image Classification | ||
| Longitudinal Multimodal Transformer Integrating Imaging and Latent Clinical Signatures From Routine EHRs for Pulmonary Nodule Classification | ||
| ProtoASNet: Dynamic Prototypes for Inherently Interpretable and Uncertainty-Aware Aortic Stenosis Classification in Echocardiography | ||
| Radiomics-Informed Deep Learning for Classification of Atrial Fibrillation Sub-Types from Left-Atrium CT Volumes | ||
| Scale Federated Learning for Label Set Mismatch in Medical Image Classification | ||
| SHISRCNet: Super-resolution And Classification Network For Low-resolution Breast Cancer Histopathology Image | ||
| Text-guided Foundation Model Adaptation for Pathological Image Classification | ||
| The Role of Subgroup Separability in Group-Fair Medical Image Classification | ||
| Transformer-based end-to-end classification of variable-length volumetric data | ||
| TransLiver: A Hybrid Transformer Model for Multi-phase Liver Lesion Classification | ||
| Uncertainty-informed Mutual Learning for Joint Medical Image Classification and Segmentation | ||
| Understanding Silent Failures in Medical Image Classification | ||
| Unsupervised classification of congenital inner ear malformations using DeepDiffusion for latent space representation | ||
| Weakly-supervised positional contrastive learning: application to cirrhosis classification | ||
| Xplainer: From X-Ray Observations to Explainable Zero-Shot Diagnosis | ||
| Toward Fairness Through Fair Multi-Exit Framework for Dermatological Disease Diagnosis | ||
| MixUp-MIL: Novel Data Augmentation for Multiple Instance Learning and a Study on Thyroid Cancer Diagnosis | ||
| Lesion-aware Contrastive Learning for Diabetic Retinopathy Diagnosis | ||
| Learning Asynchronous Common and Individual Functional Brain Network for AD Diagnosis | ||
| Learnable Subdivision Graph Neural Network for Functional Brain Network Analysis and Interpretable Cognitive Disorder Diagnosis | ||
| HC-Net: Hybrid Classification Network for Automatic Periodontal Disease Diagnosis | ||
| HACL-Net: Hierarchical Attention and Contrastive Learning Network for MRI-Based Placenta Accreta Spectrum Diagnosis | ||
| FE-STGNN: Spatio-Temporal Graph Neural Network with Functional and Effective Connectivity Fusion for MCI Diagnosis | ||
| EdgeMixup: Embarrassingly Simple Data Alteration to Improve Lyme Disease Lesion Segmentation and Diagnosis Fairness | ||
| Distributionally Robust Image Classifiers for Stroke Diagnosis in Accelerated MRI | ||
| Development and Fast Transferring of General Connectivity-based Diagnosis Model to New Brain Disorders with Adaptive Graph Meta-learner | ||
| A Video-based End-to-end Pipeline for Non-nutritive Sucking Action Recognition and Segmentation in Young Infants | ||
| EPVT: Environment-aware Prompt Vision Transformer for Domain Generalization in Skin Lesion Recognition | ||
| Exploring Unsupervised Cell Recognition with Prior Self-activation Maps | ||
| Forensic Histopathological Recognition via a Context-Aware MIL Network Powered by Self-Supervised Contrastive Learning | ||
| GLSFormer : Gated - Long, Short Sequence Transformer for Step Recognition in Surgical Videos | ||
| Label-preserving Data Augmentation in Latent Space for Diabetic Retinopathy Recognition | ||
| On the Relevance of Temporal Features for Medical Ultrasound Video Recognition | ||
| Pelphix: Surgical Phase Recognition from X-ray Images in Percutaneous Pelvic Fixation | ||
| Representation, Alignment, Fusion: A Generic Transformer-based Framework for Multi-modal Glaucoma Recognition | ||
| Self-distillation for surgical action recognition | ||
| A Multi-Task Network for Anatomy Identification in Endoscopic Pituitary Surgery | ||
| An Explainable Geometric-Weighted Graph Attention Network for Identifying Functional Networks Associated with Gait Impairment | ||
| Data AUDIT: Identifying Attribute Utility- and Detectability-Induced Bias in Task Models | ||
| Deep Learning for Tumor-associated Stroma Identification in Prostate Histopathology Slides | ||
| Deep unsupervised clustering for conditional identification of subgroups within a digital pathology image set | ||
| Multi-View Vertebra Localization and Identification from CT Images | ||
| Robust vertebra identification using simultaneous node and edge predicting Graph Neural Networks |