Radiology AI Papers with Code

A curated list of 335 radiology / medical-imaging AI papers that ship public code, grouped by imaging modality.

Built by scanning PubMed for papers whose abstract links to a GitHub repository. Each entry links to the code and the paper.

Contents

• CT (69)
• MRI (69)
• X-ray (31)
• Ultrasound (15)
• Mammography (5)
• Angiography (DSA) (5)
• Multi-modal (53)
• General (88)
• Contributing
• License

CT (69)

• Airway — Segments peripheral airways from incompletely annotated chest CT to support navigational bronchoscopy. _{IEEE Trans Med Imaging · Jun 2026 · paper}
• MARVEL_CardiacCT — Motion-aware deep learning that reconstructs time-resolved cardiac CT using an embedded motion prior. _{IEEE Trans Med Imaging · Jun 2026 · paper}
• PromptCT — Prompt-driven Lipschitz-constrained network for unified multiple-in-one sparse-view CT reconstruction. _{IEEE Trans Med Imaging · Apr 2026 · paper}
• CoW-multiclass-segmentation-TopCoW24 — Topology-aware multiclass segmentation of the Circle of Willis from brain MRA and CTA images. _{Comput Biol Med · 03 Feb 2026 · paper}
• Falcon — Automatically detects intravenous contrast and classifies body parts in CT scans. _{J Imaging Inform Med · 26 Feb 2026 · paper}
• SynCAS — Segments coronary arteries in non-contrast cardiac CT using contrastive learning and synthetic data. _{Phys Med Biol · 28 Jan 2026 · paper}
• ACVTT — Interpolates CT slices via anisotropic cross-view texture transfer with multi-reference non-local attention. _{IEEE Trans Med Imaging · Jan 2026 · paper}
• FBA_DL — Deep learning pipeline combining airway segmentation and classification to detect radiolucent foreign body aspiration on chest CT. _{NPJ Digit Med · 10 Nov 2025 · paper}
• KC-UNIT — Converts reconstruction kernels in chest CT via unpaired image-to-image translation with perceptual guidance. _{Comput Biol Med · 26 Jul 2025 · paper}
• LA-Seg — Sinogram-pattern-guided transformer for lesion segmentation in limited-angle CT. _{Comput Biol Med · 21 Jul 2025 · paper}
• Multiclass-Vessel-Segmentation — Deep learning multiclass segmentation of liver vessels in CT for surgical pre-planning. _{Phys Eng Sci Med · 14 Jul 2025 · paper}
• ML-based-Breast-Radiation-Dosimetry-in-CT — Estimates personalized breast radiation dose in CT using radiomics and deep neural networks. _{Eur J Radiol · 11 Jun 2025 · paper}
• DMFINet — Unsupervised MR-to-CT image synthesis using a dynamic multi-scale feature integration network. _{Neural Netw · 21 May 2025 · paper}
• Dual-Task-Seg — Dual-task synergy framework for generalizable pancreatic cancer segmentation in CT scans. _{IEEE Trans Med Imaging · Sep 2025 · paper}
• vss — Zero-shot sparse-view CT reconstruction using a variational score-based diffusion solver. _{IEEE Trans Med Imaging · Sep 2025 · paper}
• SMILE — Classifies lung cancer screening from multiple CT scans via sequential multi-instance learning. _{IEEE Trans Med Imaging · Aug 2025 · paper}
• RadiomicsLiverFibrosisDetection — Non-invasive radiomics-based screening for liver fibrosis on CT images. _{BMC Med Imaging · 15 Jul 2025 · paper}
• LungSSFNet — Deep learning CT reading system for diagnosing lung cancer associated with cystic airspaces. _{Sci Rep · 02 Jul 2025 · paper}
• SwinUNETR-IGM — Self-supervised intensity-guided masking pretraining for aorta segmentation in CT. _{Annu Int Conf IEEE Eng Med Biol Soc · Jul 2025 · paper}
• Attention-GhostUNetPlusPlus — Attention-enhanced GhostUNet++ for segmenting adipose tissue and liver in CT images. _{Annu Int Conf IEEE Eng Med Biol Soc · Jul 2025 · paper}
• Abdominal-DIR-QA — Vessel-bifurcation landmark dataset for validating abdominal CT deformable image registration. _{Med Phys · 28 May 2025 · paper}
• calimar-gan — Unpaired mask-guided attention GAN for metal artifact reduction in CT scans. _{Comput Med Imaging Graph · 09 May 2025 · paper}
• CRET — Continuous representation-based reconstruction method for computed tomography. _{Med Phys · 02 May 2025 · paper}
• CAD-Unet — Capsule-network-enhanced UNet for segmenting COVID-19 lung infections from CT images. _{Med Image Anal · 19 Apr 2025 · paper}
• rise-mar — Radiologist-in-the-loop self-training for generalizable CT metal artifact reduction. _{IEEE Trans Med Imaging · Jun 2025 · paper}
• Double-Mix — Double-mix pseudo-label framework for semi-supervised segmentation of category-imbalanced CT volumes. _{Int J Comput Assist Radiol Surg · 11 Feb 2025 · paper}
• NAS-DRP — Neural architecture search with deep Radon prior for sparse-view CT reconstruction. _{Med Phys · 10 Feb 2025 · paper}
• colorectaltumor — AI model for detecting colorectal cancer on routine abdominopelvic CT examinations. _{AJR Am J Roentgenol · 12 Feb 2025 · paper}
• veterinary-kidney-segmentation — Parallel frequency-spatial hybrid network for segmenting kidney stones in canine pre-contrast CT. _{Comput Biol Med · 02 Jan 2025 · paper}
• XCT-COVID — Explainable deep transfer learning for COVID-19 diagnosis from multi-national chest CT scans. _{Comput Biol Med · 03 Dec 2024 · paper}
• multi-structure-CT-dosimetry — Machine learning pipeline for patient-specific multi-organ radiation dosimetry in CT. _{Eur Radiol · 13 Aug 2024 · paper}
• HyperFed — Hypernetwork-based physics-driven personalized federated learning for CT imaging. _{IEEE Trans Neural Netw Learn Syst · 06 Feb 2025 · paper}
• Vertebrae-Labeling-Segmentation — Interactive semantics-and-instance learning for vertebrae labeling and segmentation in CT. _{Med Image Anal · 01 Nov 2024 · paper}
• DIR-MUSA — Musculoskeleton-aware deep learning for anatomically guided head-and-neck CT deformable registration. _{Med Image Anal · 21 Sep 2024 · paper}
• FlyerScanCT — Computer-aided detection of lung nodules on standard-dose and low-dose pediatric CT. _{AJR Am J Roentgenol · 09 Oct 2024 · paper}
• CADS — Self-supervised CT volume segmentation via cross-modal alignment and deep self-distillation. _{IEEE Trans Med Imaging · 02 Jan 2025 · paper}
• CRVIA — Clinician-centric deep learning method for reliable assessment of pancreatic cancer vascular invasion. _{Lancet Reg Health West Pac · 30 May 2026 · paper}
• MG-3D — Multi-grained knowledge-enhanced vision-language pre-training framework for 3D medical image analysis. _{Med Image Anal · 11 Mar 2026 · paper}
• TextoMorph — Text-driven tumor synthesis that generates realistic tumors from medical reports. _{IEEE Trans Med Imaging · Jun 2026 · paper}
• FedRS — Federated learning under reliable supervision for multi-organ segmentation with inconsistent labels. _{IEEE Trans Med Imaging · May 2026 · paper}
• GRFormer — Transformer-based point cloud completion for 3D reconstruction of liver and tumor. _{Comput Med Imaging Graph · 30 Mar 2026 · paper}
• FLASH-UNETR — Wavelet-transformed frequency attention transformer for abdominal organ segmentation. _{J Imaging Inform Med · 19 Mar 2026 · paper}
• ImPulSe — Template-guided reconstruction of pulmonary segments using neural implicit functions from CT. _{Med Image Anal · 16 Dec 2025 · paper}
• implant_detection — Self-supervised out-of-distribution detection of metal implants and anomalies in medical images. _{Med Phys · Feb 2026 · paper}
• PLS4MIS — Segments abdominal organs from partially labeled datasets using classwise orthogonal contrastive learning and progressive self-distillation. _{Med Image Anal · 21 Nov 2025 · paper}
• TfeNet — Segments airways using a direction-aware convolution network that enhances tubular features in CT scans. _{Med Image Anal · 20 Nov 2025 · paper}
• DCMamba — Semi-supervised medical image segmentation using a diversity-enhanced collaborative Mamba architecture. _{IEEE Trans Med Imaging · Feb 2026 · paper}
• S2CAC — Semi-supervised coronary artery calcium segmentation in CT via scoring-driven consistency and negative sample boosting. _{Med Image Anal · 30 Sep 2025 · paper}
• GAS-Pulmonary-Nodule-Classification — Lightweight teacherless framework for classifying benign versus malignant pulmonary nodules using GAS. _{Biomed Phys Eng Express · 19 Dec 2025 · paper}
• shap — Game-theoretic SHAP explainability used to predict midterm coronary plaque progression risk in subclinical atherosclerosis. _{Can J Cardiol · 03 Dec 2025 · paper}
• CLIP_nodule — Vision-language model with semantic imaging biomarkers for predicting lung nodule malignancy on CT. _{J Biomed Inform · 27 Oct 2025 · paper}
• NoisyLabel — Region uncertainty estimation for robust medical image segmentation under noisy labels. _{IEEE Trans Med Imaging · Dec 2025 · paper}
• SinusSegment — Open-source algorithm for automated segmentation of paranasal sinuses in CT scans. _{Laryngoscope · 27 May 2025 · paper}
• ICE-RAR — Removes ring artifacts in CT using a central-region reinforced network with inter-slice complementarity. _{Phys Med Biol · 27 Oct 2025 · paper}
• MiM — Mask-in-Mask self-supervised pre-training framework for 3D medical image analysis. _{IEEE Trans Med Imaging · Sep 2025 · paper}
• CLIP_nodule — Vision-language model with semantic imaging biomarkers for predicting lung nodule malignancy on CT. _{ArXiv · 08 Aug 2025 · paper}
• SegStageIVNSCLC — Automatic segmentation with uncertainty quantification for stage IV non-small cell lung cancer. _{Comput Med Imaging Graph · 13 May 2025 · paper}
• Fusion-UADL — Unsupervised 3D lung lesion detection and localization fusing global and local features. _{Med Image Anal · 01 Apr 2025 · paper}
• EGPDC-Seg — Multi-organ segmentation combining expert guidance with partially-labeled data collaboration. _{Neural Netw · 19 Mar 2025 · paper}
• KidneyDiseaseDetection — Multi-level feature fusion network for detecting kidney disease from medical images. _{Comput Biol Med · 14 Apr 2025 · paper}
• NIH_CADLab_Body_Composition — Whole-torso CT muscle and adipose tissue segmentation using mixed supervision and transfer learning. _{Comput Med Imaging Graph · 05 Mar 2025 · paper}
• AI-CAC — Deep learning model segmenting and scoring coronary artery calcium on non-gated chest CT. _{NEJM AI · 16 May 2025 · paper}
• SLAD — Clinically-inspired model for pancreas and pancreatic cancer segmentation on CT. _{Med Image Anal · 13 Mar 2025 · paper}
• Kidney-Stone-Detection-using-RTDETR — RT-DETR transformer model for detecting multiple kidney stones in medical images. _{Comput Biol Med · 18 Mar 2025 · paper}
• SCA-UNet — SCA-UNet automated segmentation feeding radiomics diagnosis of thymic epithelial tumors. _{Eur J Radiol · 20 Feb 2025 · paper}
• VSNet — Vessel structure-aware network segmenting hepatic and portal veins in liver imaging. _{Med Image Anal · 16 Jan 2025 · paper}
• fissure-segmentation-IJCARS — Geometric deep learning segmenting lung fissures via sparse keypoints from volumetric CT. _{Int J Comput Assist Radiol Surg · 07 Jan 2025 · paper}
• LobTe — Lobe-based transformer predicting emphysema progression from CT in Alpha-1 Antitrypsin Deficiency. _{Comput Biol Med · 06 Dec 2024 · paper}
• pulmonary-tree-labeling — Anatomical labeling of pulmonary tree structures via deep point-graph implicit fields. _{Med Image Anal · 08 Oct 2024 · paper}

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MRI (69)

• ATCDM — Anatomy-guided truncated conditional diffusion model for super-resolution arterial spin labeling MRI. _{Neuroimage · 13 May 2026 · paper}
• MicroKAN — Maps human brain microstructure from diffusion MRI using adaptive nonlinear KAN modeling. _{Neuroimage · 07 Jun 2026 · paper}
• PHIVE — Physics-informed variational encoder for rapid spectral fitting of 7T brain metabolite mapping. _{Med Image Anal · 03 Mar 2026 · paper}
• NMISynCT-LungSeg — Label-free lung MRI segmentation via misalignment-aware diffusion-based image translation. _{J Imaging Inform Med · 26 May 2026 · paper}
• seg-sc-ms-lesion-multicontrast — Generalizable spinal cord multiple sclerosis lesion segmentation across MRI contrasts and centers. _{Mult Scler · 24 Apr 2026 · paper}
• def_diff_rec — Deformation-recovery diffusion model for medical image manipulation and synthesis. _{Med Image Anal · 11 Feb 2026 · paper}
• OR-KAN — Quality-label-free fetal brain MRI quality control via orientation-recognition uncertainty. _{Med Image Anal · 10 Feb 2026 · paper}
• DDTracking — Diffusion-model generative framework with spatiotemporal modeling for diffusion MRI tractography. _{Med Image Anal · 29 Jan 2026 · paper}
• UniRecon — Unified prompt-learning framework that reconstructs high-quality brain MRI from unknown, mixed degradations. _{Comput Med Imaging Graph · 28 Mar 2026 · paper}
• Deep-learning-AI-and-RSI-for-patient-level-detection-of-csPCa-on-MRI — Deep learning with restriction spectrum imaging for patient-level detection of clinically significant prostate cancer on biparametric MRI. _{Eur Urol Open Sci · 06 Feb 2026 · paper}
• U2AD — Vision Transformer framework for uncertainty-guided unsupervised detection of T2 hyperintensities in spinal cord MRI. _{Med Image Anal · 17 Jan 2026 · paper}
• LDAE — Latent diffusion autoencoder for unsupervised 3D brain MRI representation learning, applied to Alzheimer's disease. _{Med Image Anal · 07 Jan 2026 · paper}
• SFDC-MambaDiff — Spatial-frequency dual-constrained Mamba diffusion model for cross-modal retinal image generation from CFP to FFA. _{Med Image Anal · 25 Dec 2025 · paper}
• RVMISegNet — Segments right ventricular myocardial infarction in multi-centre cardiac MRI images. _{Med Image Anal · 09 Dec 2025 · paper}
• 2025-pisco-spieker — Self-supervised k-space regularization improving neural implicit representations for dynamic MRI reconstruction. _{Med Image Anal · 29 Nov 2025 · paper}
• Q-MMTN — Q-space guided multi-modal translation network for synthesizing diffusion-weighted MR images. _{IEEE Trans Med Imaging · Mar 2026 · paper}
• An-Efficient-3D-Latent-Diffusion-Model-for-T1-contrast-Enhanced-MRI-Generation — Efficient 3D latent diffusion model for generating T1 contrast-enhanced brain MRI. _{Biomed Phys Eng Express · 10 Feb 2026 · paper}
• longitudinal-mri-deep-recon — Deep learning reconstruction that accelerates brain MRI using prior subject-specific longitudinal scans. _{Magn Reson Imaging · 20 Nov 2025 · paper}
• wasabi-mri — Wasserstein-based anatomical metric for evaluating morphometric realism of synthetic brain MRIs. _{Med Image Comput Comput Assist Interv · 20 Sep 2025 · paper}
• adaptive-sampling-mri-suno — Scan-adaptive MRI undersampling optimized via neighbor-based search to accelerate acquisition. _{IEEE Trans Comput Imaging · 12 Jan 2026 · paper}
• PI-uMSS — Prior-information-based unsupervised magnetic source separation for quantitative susceptibility mapping in MRI. _{Neuroimage · 12 Dec 2025 · paper}
• EPDiff — Erasure-perception diffusion model for unsupervised anomaly detection in preoperative multimodal images. _{IEEE Trans Med Imaging · Jan 2026 · paper}
• TGVN — Trust-guided deep network for MR image reconstruction leveraging complementary side information. _{IEEE Trans Med Imaging · Jan 2026 · paper}
• zs-nac — Fast zero-shot deep learning denoising method for low-field MR images. _{MAGMA · 22 Dec 2025 · paper}
• PHASE — Personalized head-based automatic simulation of electromagnetic properties for 7T MRI. _{Magn Reson Imaging · 25 Sep 2025 · paper}
• RAS — Benchmark framework for right atrium cavity segmentation from LGE-MRI scans. _{IEEE Trans Med Imaging · Dec 2025 · paper}
• AbdoBench — Benchmark of deep learning methods for generic multi-organ abdominal MRI segmentation. _{J Med Imaging (Bellingham) · 05 Dec 2025 · paper}
• LVPSegNet — Segments the left ventricle and its pathologies after acute myocardial infarction in LGE-CMR images. _{IEEE Trans Med Imaging · Nov 2025 · paper}
• Synomaly — Synomaly noise with multi-stage diffusion for unsupervised anomaly detection in medical images. _{Med Image Anal · 26 Jul 2025 · paper}
• from-segmentation-to-explanation — Generates explainable textual brain tumor reports from MRI using segmentation and large language models. _{Comput Methods Programs Biomed · 01 Jul 2025 · paper}
• DiffBoost — Text-guided diffusion model that augments data to enhance medical image segmentation. _{IEEE Trans Med Imaging · Sep 2025 · paper}
• BrainTumorDetection — Deep learning brain tumor detection on MRI with SHAP-based explainable multi-feature analysis. _{Sci Rep · 11 Aug 2025 · paper}
• A2-CDic — Deep convolutional dictionary model with alignment assistance for multi-contrast MRI super-resolution. _{IEEE Trans Med Imaging · Aug 2025 · paper}
• MCFDiffusion — Multi-channel fusion diffusion model for augmenting brain tumor MRI datasets. _{Sci Rep · 02 Jul 2025 · paper}
• multi-modal-mri-and-mask-synthesis-with-conditional-slice-based-ldm — Conditional slice-based latent diffusion synthesizes multimodal MRI and masks to augment tumor segmentation. _{Comput Med Imaging Graph · 21 Mar 2025 · paper}
• Multi-channel-DeepLiverNet2.0 — Deep learning model predicting liver stiffness from abdominal biparametric MRI across multiple sites and vendors. _{Eur Radiol · 09 Jan 2025 · paper}
• Res-SRDiff — Diffusion-based MRI super-resolution using residual shifting for faster, detailed reconstruction. _{Phys Med Biol · 16 Jun 2025 · paper}
• pediatric-auto-defacer-public — Deep learning de-facing tool that de-identifies pediatric brain MRIs for data sharing. _{AJNR Am J Neuroradiol · 02 May 2025 · paper}
• radiomics_ai — Hybrid radiomics machine learning models for preoperative meningioma grading on multiparametric MRI. _{J Clin Neurosci · 05 Mar 2025 · paper}
• INR_for_DynamicMRI — Spatiotemporal implicit neural representation for unsupervised dynamic MRI reconstruction. _{IEEE Trans Med Imaging · 02 May 2025 · paper}
• Res-SRDiff — Diffusion-based MRI super-resolution using residual shifting for faster, detailed reconstruction. _{ArXiv · 26 Apr 2025 · paper}
• semi-proto-seg — Semi-supervised prototypical network for prostate lesion segmentation from multimodality MRI. _{Phys Med Biol · 22 Apr 2025 · paper}
• EdgeGCN — Longitudinal MRI texture-guided graph convolutional network for predicting knee osteoarthritis progression. _{Comput Methods Programs Biomed · 13 Jan 2025 · paper}
• influence_of_fusion_on_pancreas_segmentation — Studies how early-to-late fusion affects pancreas segmentation from imperfectly registered multimodal MRI. _{J Med Imaging (Bellingham) · 26 Apr 2025 · paper}
• MDM — Masked deformation modeling for self-supervised pre-training on volumetric brain MRI. _{IEEE Trans Med Imaging · 17 Mar 2025 · paper}
• Awesome-DL-based-CS-MRI — Curated review of deep learning and compressed sensing methods for accelerated MRI reconstruction. _{ArXiv · 01 Feb 2025 · paper}
• ProxiMO — Proximal multi-operator networks for quantitative susceptibility mapping in MRI. _{Mach Learn Clin Neuroimaging · 06 Dec 2024 · paper}
• FGDL — Fine-grained difference learning bridging MRI cross-modality synthesis and multi-contrast super-resolution. _{IEEE Trans Med Imaging · 02 Jan 2025 · paper}
• GAutoMRI — Generalizable accelerated MRI reconstruction via federated learning with neural architecture search. _{IEEE Trans Med Imaging · 02 Jan 2025 · paper}
• CSSN_TMI — Cross-supervision similarity network for medical image classification on imbalanced small datasets. _{IEEE Trans Med Imaging · May 2026 · paper}
• prostate-rl-segmentation — Promptable reinforcement-learning segmentation for minimal-effort expert-level prostate cancer delineation. _{Int J Comput Assist Radiol Surg · 17 Apr 2026 · paper}
• UNISELF — Unified network with instance normalization and self-ensembled fusion for multiple sclerosis lesion segmentation on MRI. _{Med Image Anal · 20 Jan 2026 · paper}
• GlioMODA — Robust multi-modal MRI glioma segmentation for varied sequence combinations in clinical routine. _{Neurooncol Adv · 12 Feb 2026 · paper}
• Slim-UNETRV2 — Lightweight 3D medical image segmentation network optimized for resource-limited portable devices. _{IEEE Trans Med Imaging · Feb 2026 · paper}
• CLPKnet — Predicts high-risk recurrence areas in gliomas using contrastive learning and prior-knowledge-induced feature extraction. _{Med Image Anal · 05 Aug 2025 · paper}
• DSMT — Semi-supervised medical image segmentation via a dual-student mean teacher network with pixel-level pseudo-label optimization. _{Comput Biol Chem · 09 Jul 2025 · paper}
• RAML — Reliability-aware semi-supervised mutual learning for acute ischemic stroke lesion segmentation. _{J Imaging Inform Med · 07 Oct 2025 · paper}
• claustrum_segmentation — Contrast-agnostic deep learning method for ultra-high-resolution brain claustrum segmentation on MRI. _{Hum Brain Mapp · 15 Aug 2025 · paper}
• DeepIsles — Clinically validated deep learning tool for ischemic stroke lesion segmentation from the ISLES'22 challenge. _{Nat Commun · 09 Aug 2025 · paper}
• SEN-MTKD — Semi-supervised knee cartilage segmentation using eigen-noise mean-teacher knowledge distillation. _{IEEE Trans Med Imaging · Jul 2025 · paper}
• FedGmTE-Net-plus — Federated multi-trajectory graph neural network predicting infant brain connectivity from scarce data. _{Med Image Anal · 13 Mar 2025 · paper}
• MERIT — Multi-view evidential learning for reliable, interpretable liver fibrosis staging. _{Med Image Anal · 22 Feb 2025 · paper}
• DBM_with_DL — Disentangles normal aging from Alzheimer's brain morphology changes using learned aging templates. _{Sci Rep · 07 Apr 2025 · paper}
• Regre4Regis — Learning-based deformable registration for neuroimaging with hierarchical uncertainty estimation via regression. _{Int Conf Learn Represent · Apr 2025 · paper}
• EncoderReg — Cross-domain deformable image registration using learned encoding of matching criteria. _{Med Phys · 17 Dec 2024 · paper}
• DSPHARM-Net — Spherical-harmonic network with guided attention for cortical sulcal labeling. _{IEEE Trans Med Imaging · 04 Feb 2025 · paper}
• MUNet — Brain tumor segmentation framework combining UNet with Mamba state-space networks. _{Front Comput Neurosci · 29 Jan 2025 · paper}
• MS_WML_uncs — Structural multi-scale uncertainty estimation for white matter lesion segmentation in multiple sclerosis. _{Comput Biol Med · 15 Nov 2024 · paper}
• AWA_BoundaryDoULoss — Cascade prostate cancer segmentation on bpMRI using adaptive window adjustment and boundary DoU loss. _{Neural Netw · 28 Oct 2024 · paper}

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X-ray (31)

• FAIR_DRL_CXR — Disentangled representation learning to mitigate bias in chest X-ray disease diagnosis. _{Artif Intell Med · 19 May 2026 · paper}
• AnatoDiff — Diffusion model synthesizing anatomically faithful radiographs from limited training images. _{IEEE Trans Med Imaging · Jun 2026 · paper}
• AgeMiner — Predicts chronological age from bone mineral density data integrated with metadata. _{J Forensic Leg Med · 17 Apr 2026 · paper}
• lineReg — Performs semantic edge-guided single-view 2D/3D registration of vertebrae in X-ray images. _{Med Phys · Mar 2026 · paper}
• ca_instance_segmentation — Instance-segments and matches individual coronary artery branches in X-ray angiograms. _{Comput Med Imaging Graph · 26 Dec 2025 · paper}
• FracDet-v11 — Real-time detection of pediatric wrist fractures in X-rays using a multi-scale attention and wavelet-enhanced network. _{Sci Rep · 21 Jan 2026 · paper}
• PSB-Conference-2025 — Large-scale visual question answering benchmark for generalist chest X-ray understanding. _{Pac Symp Biocomput · 2026 · paper}
• fluorosam — Language-promptable foundation model for flexible segmentation of arbitrary structures in X-ray images. _{Med Image Comput Comput Assist Interv · 20 Sep 2025 · paper}
• semi-supervised-learning-for-vessel-segmentation — Self-training semi-supervised framework for pulmonary vessel segmentation applied to COPD assessment. _{J Xray Sci Technol · 17 Oct 2025 · paper}
• POPAR — Self-supervised pretraining for chest radiography via patch order prediction and appearance recovery. _{Med Image Anal · 19 Jul 2025 · paper}
• TCFNet — Transformer-based coarse-to-fine point network for bidirectional face-bone shape transformation. _{Med Image Anal · 16 Jun 2025 · paper}
• Lung_disease_classification — Convolutional neural networks classifying diverse pulmonary conditions on chest X-rays. _{J Imaging Inform Med · 13 Dec 2024 · paper}
• NEC_MTL — Deep multi-task learning model detecting neonatal pneumoperitoneum on radiographs. _{Comput Biol Med · 20 Aug 2025 · paper}
• TPFSeg-MAE — Masked autoencoder for tibial plateau fracture segmentation from limited annotations. _{Annu Int Conf IEEE Eng Med Biol Soc · Jul 2025 · paper}
• SemiMCD — Semi-supervised multi-connection contrastive learning with mutual distillation for X-ray lung segmentation. _{Med Phys · Jul 2025 · paper}
• Risser-stage-assessment — Deep learning grading of skeletal maturity from pelvis radiographs for adolescent idiopathic scoliosis. _{Med Biol Eng Comput · 22 Jan 2025 · paper}
• xvr — Rapid patient-specific neural networks for intraoperative 2D X-ray to 3D volume registration. _{ArXiv · 20 Mar 2025 · paper}
• DDKG — Dual-domain knowledge guidance for localizing and diagnosing non-displaced femoral neck fractures on X-rays. _{Med Image Anal · 19 Nov 2024 · paper}
• wsrpn — Weakly supervised object detection in chest X-rays using differentiable ROI proposals and soft ROI pooling. _{IEEE Trans Med Imaging · 02 Jan 2025 · paper}
• FEDERATED_LEARNING_FOR_THORACIC_DISEASE_CLASSIFICATION — Federated learning with differential privacy and CNNs for thoracic disease classification. _{Healthc Technol Lett · 02 May 2026 · paper}
• ShortKit-ML — Unified framework to detect, benchmark, and mitigate shortcut learning in medical imaging embeddings. _{medRxiv · 30 Apr 2026 · paper}
• BoxMed-RL — Chain-of-thought reasoning with reinforcement learning for verifiable radiology report generation. _{Med Image Anal · 11 Dec 2025 · paper}
• Ark — Trains a single high-performance medical imaging foundation model from many heterogeneously labeled datasets without label consolidation. _{Med Image Anal · 29 Oct 2025 · paper}
• FairREAD — Fair medical image classification by disentangling and re-fusing demographic attributes to reduce bias. _{Med Image Anal · 31 Oct 2025 · paper}
• ALTA — Efficient medical vision-language alignment achieved by adapting pretrained masked vision models. _{IEEE Trans Med Imaging · Nov 2025 · paper}
• WT-CMUNeXt — Lightweight wavelet convolutional network for segmenting guidewires in interventional imaging. _{Comput Med Imaging Graph · 06 Aug 2025 · paper}
• SS-FewSOME_Disease_Severity_Knee_Osteoarthritis — Anomaly-detection-inspired system grading knee osteoarthritis severity from few labeled images. _{Artif Intell Med · 28 May 2025 · paper}
• CoE-DG — Co-evolutionary framework leveraging weakly labeled data for joint abnormality detection and radiology report generation. _{IEEE Trans Med Imaging · 03 Apr 2025 · paper}
• LHR-RFL — Reinforced focal learning with linear hybrid rewards for automatic radiology report generation. _{IEEE Trans Med Imaging · 17 Mar 2025 · paper}
• osteopenia — Interpretable deep learning for osteopenia detection on radiographs balancing accuracy and explainability. _{J Imaging Inform Med · 17 Jul 2024 · paper}
• IMITATE-TMI2024 — Clinical-prior-guided hierarchical vision-language pre-training for medical imaging. _{IEEE Trans Med Imaging · 02 Jan 2025 · paper}

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Ultrasound (15)

• DAUS-Net — Scanner-agnostic domain-generalized network for robust ultrasound image segmentation. _{Ultrason Imaging · 25 Dec 2025 · paper}
• GRN — Generative reinforcement network segmenting tissue layers in 3D ultrasound for chronic low-back pain assessment. _{Comput Med Imaging Graph · 26 Feb 2026 · paper}
• CADBUSI-Database — Database manager for computer-aided breast ultrasound cancer research datasets. _{J Imaging Inform Med · 13 Jan 2026 · paper}
• ESPC-MIL-Model — Weakly supervised ultrasound image segmentation guided by an elliptical shape prior constraint. _{Artif Intell Med · 15 Nov 2025 · paper}
• radiomicsUS — Radiomics on ultrasound radiofrequency data to improve evaluation of Duchenne muscular dystrophy. _{J Imaging Inform Med · 14 Mar 2025 · paper}
• Lung-Ultrasound-Classification — Weak-label learning to detect pneumonia from volume sweep lung ultrasound clips. _{Annu Int Conf IEEE Eng Med Biol Soc · Jul 2025 · paper}
• MUBTD — Multiparametric ultrasound diagnosis of BI-RADS category 4 breast tumors via feature disentanglement and cross-fusion. _{IEEE Trans Med Imaging · Jul 2025 · paper}
• FedBCD — Federated joint learning of ultrasound video and images for breast cancer diagnosis. _{IEEE Trans Med Imaging · Jun 2025 · paper}
• TISA — Training-free image style alignment to handle domain shift on handheld ultrasound devices. _{IEEE Trans Med Imaging · 03 Apr 2025 · paper}
• SSL_ABUS — Multi-task self-supervised mass detection in 3D automated breast ultrasound using attention recurrent residual U-Net. _{Comput Biol Med · 20 Feb 2025 · paper}
• MSMO — Multi-scale multi-object semi-supervised consistency learning for ultrasound image segmentation. _{Neural Netw · 30 Dec 2024 · paper}
• BLTA-CNN — Deep learning on bimodal ultrasound to predict breast cancer neoadjuvant chemotherapy response. _{BMC Med Imaging · 23 Jan 2025 · paper}
• PRISM-placenta — Interactive segmentation model for delineating the placenta in 3D ultrasound images. _{Simpl Med Ultrasound · 05 Oct 2024 · paper}
• Thyroid-AI — Multi-instance convolutional neural network for risk assessment of thyroid nodules on ultrasound. _{Front Oncol · 24 Jul 2025 · paper}
• CRIDA — Collaborative reasoning-based data augmentation for dual-view contrast-enhanced ultrasound classification. _{Med Image Anal · 27 Mar 2025 · paper}

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Mammography (5)

• DICOM_SR_Uncertainty — Uncertainty-aware SwinIR super-resolution of mammography phantoms with Monte Carlo dropout confidence maps. _{J Imaging Inform Med · 28 May 2026 · paper}
• CMFS — Deep learning synthesis of digital breast tomosynthesis features from mammography for cancer diagnosis. _{Eur J Radiol · 23 Oct 2025 · paper}
• ARFL — Breast cancer diagnosis robust against mammographic adversarial samples. _{Artif Intell Imaging Diagn Treat Chall Breast Care · 12 Feb 2025 · paper}
• BI-RADS-Diagnosis-for-Mammograms — Explainable BI-RADS assisted diagnosis pipeline for mammograms. _{Phys Med · 05 Mar 2025 · paper}
• DIFLF — Domain-invariant feature learning for single-source domain generalization in mammogram classification. _{Comput Methods Programs Biomed · 06 Jan 2025 · paper}

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Angiography (DSA) (5)

• Coronary_Angiography_Detection — Hyperparameter-optimized YOLO models for stenosis lesion detection in invasive coronary angiography. _{Comput Biol Med · 24 Jul 2025 · paper}
• SAM-VMNet — Deep learning model for coronary artery segmentation and quantitative stenosis detection in angiograms. _{Med Phys · Jul 2025 · paper}
• perfDSA — Automatic cerebral perfusion imaging from digital subtraction angiography. _{Int J Comput Assist Radiol Surg · 24 Apr 2025 · paper}
• MDA-Net — Multi-scale dual-attention U-shaped network for coronary vessel segmentation in digital subtraction angiography. _{Med Phys · 03 Feb 2025 · paper}
• mil-stenosis — Transformer-based multiple-instance learning for multi-view stenosis classification from clinical data. _{IEEE Trans Med Imaging · 15 Jun 2026 · paper}

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Multi-modal (53)

• X2Shape — CT-free 3D multi-organ shape reconstruction from biplanar X-rays. _{Med Image Anal · 15 Apr 2026 · paper}
• FoundDiff — Foundational diffusion model for generalizable low-dose CT denoising. _{IEEE Trans Med Imaging · 01 Jun 2026 · paper}
• HGA — Handles imbalanced missing modalities in multi-modal medical image segmentation via hierarchical gradient alignment. _{IEEE Trans Med Imaging · Jun 2026 · paper}
• DOSTA-Net — Domain-shuffle temporal attention network for vessel extraction in X-ray coronary angiography using synthetic data. _{IEEE Trans Med Imaging · Jun 2026 · paper}
• AttCo — Attention-based co-learning fusion of multimodality deep features for medical image segmentation. _{Neural Netw · 08 Jan 2026 · paper}
• CIM-VTP — Correlation-guided image modeling with visual-textual prompts for universal medical image registration. _{IEEE Trans Med Imaging · 06 May 2026 · paper}
• MGML — Plug-and-play meta-guided multimodal learning framework for brain tumor segmentation with incomplete MRI modalities. _{Neural Netw · 25 Dec 2025 · paper}
• 3d-ultrasound-diffusion.github.io — Reconstructs high volume-rate 3D ultrasound images using diffusion generative models. _{IEEE Trans Med Imaging · May 2026 · paper}
• CoGMA — Multi-modality co-learning for early cerebral palsy screening via infant general movements assessment. _{IEEE Trans Med Imaging · May 2026 · paper}
• CiSeg — Unsupervised cross-modality domain adaptation for 3D medical image segmentation using causal intervention. _{IEEE Trans Med Imaging · Apr 2026 · paper}
• TSFDAN — Domain adaptation for low-dose CT denoising via pretraining and self-supervised fine-tuning. _{J Xray Sci Technol · 02 Mar 2026 · paper}
• UTMorph — Hybrid CNN-transformer network for weakly-supervised multimodal image registration in biopsy puncture guidance. _{Med Image Anal · 10 Jan 2026 · paper}
• CKRA-MedVQA — Dynamic context-aware cross-modal contrastive learning for medical visual question answering. _{IEEE Trans Med Imaging · Mar 2026 · paper}
• MC_MMD — Quantifies each modality's contribution in multimodal medical deep learning models. _{Int J Comput Assist Radiol Surg · 02 Oct 2025 · paper}
• Patch2Space — Registration-free segmentation method for spatially misaligned multimodal medical images. _{Phys Med Biol · 19 Feb 2026 · paper}
• XGeM — Multi-prompt foundation model for generating multimodal medical data across imaging types. _{Comput Med Imaging Graph · 30 Jan 2026 · paper}
• CINeMA — Conditional implicit neural multimodal atlas for spatio-temporal representation of the perinatal brain. _{IEEE Trans Med Imaging · Feb 2026 · paper}
• DCL — Dynamic causal learning for cross-modality cardiac image segmentation. _{IEEE Trans Image Process · 2026 · paper}
• Scale-Adjusted-Distance-Transform — C++ scale-adjusted distance transform method for segmenting multimodal medical images. _{Methods · 07 Nov 2025 · paper}
• DAAMAF — Deep association analysis with multimodal attention fusion for brain imaging genetics. _{Med Image Anal · 29 Sep 2025 · paper}
• EICSeg — Universal medical image segmentation via explicit in-context learning across modalities. _{IEEE Trans Med Imaging · Jan 2026 · paper}
• Lung-DDPM-PLUS — Efficient diffusion probabilistic model for synthesizing thoracic lung CT images. _{Comput Biol Med · 20 Nov 2025 · paper}
• 3D_LabelGeneration — Semi-supervised label generation for 3D multimodal MRI bone tumor segmentation. _{J Imaging Inform Med · 20 Feb 2025 · paper}
• MultiP-R2Gen — Enhances radiology report generation using multi-phased supervision. _{IEEE Trans Med Imaging · Nov 2025 · paper}
• LEM-UNet — Edge-guided network for 3D multimodal segmentation of focal cortical dysplasia. _{Front Neurosci · 08 Oct 2025 · paper}
• NEED — Noise-inspired diffusion model for generalizable low-dose CT reconstruction. _{Med Image Anal · 08 Jul 2025 · paper}
• DINO-Reg — Efficient multimodal image registration using distilled DINO foundation features. _{IEEE Trans Med Imaging · Sep 2025 · paper}
• MM-GTUNets — Unified multimodal graph deep learning for predicting brain disorders. _{IEEE Trans Med Imaging · Sep 2025 · paper}
• IPDM-PyTorch — Domain-progressive low-dose CT imaging using an iterative partial diffusion model. _{IEEE Trans Med Imaging · Sep 2025 · paper}
• LungCancerDC — Contrastive learning with multimodal integration for lung adenocarcinoma subtype classification. _{Sci Rep · 19 Aug 2025 · paper}
• Contrastive-Masked-UNet — Self-supervised contrastive masked UNet for coronary artery segmentation in X-ray angiography. _{Annu Int Conf IEEE Eng Med Biol Soc · Jul 2025 · paper}
• pid-multimodal — Information-theoretic approach for selecting multimodal data fusion methods in medical tasks. _{J Biomed Inform · 10 May 2025 · paper}
• SynMSE — Multimodal similarity evaluator for unsupervised deformable multimodal medical image registration. _{Med Image Anal · 22 Apr 2025 · paper}
• self-supervised-anatomical-embedding-v2 — Self-supervised universal anatomical embedding for matching across multi-modality medical images. _{Med Image Anal · 04 Apr 2025 · paper}
• TeachFormer — Multimodal multi-teacher knowledge distillation for efficient medical image segmentation. _{Sci Rep · 07 May 2025 · paper}
• HyperFusion — Hypernetwork approach fusing tabular and medical imaging data for predictive modeling. _{Med Image Anal · 21 Feb 2025 · paper}
• LLD-MMRI-Dataset — Siamese dual-resolution transformer for liver lesion classification on 3D multi-phase MRI. _{Neural Netw · 01 Feb 2025 · paper}
• VertebraeFx — Deep learning pipeline for systematic vertebral fracture detection and reporting in CT. _{Clin Radiol · 25 Jan 2025 · paper}
• A-Eval — Benchmark for cross-dataset and cross-modality evaluation of abdominal multi-organ segmentation. _{Med Image Anal · 14 Feb 2025 · paper}
• UMA-Net — Learns robust medical image segmentation from multi-source noisy annotations. _{Med Image Anal · 08 Feb 2025 · paper}
• DBAHNet — Dual-branch attention hybrid network segmenting cortical and trabecular bone in mouse micro-CT. _{Sci Rep · 13 Mar 2025 · paper}
• fl-multi-modal-dataset-creation — Multimodal dataset creation for federated learning using DICOM structured reports. _{Int J Comput Assist Radiol Surg · 03 Feb 2025 · paper}
• CCL-survival — Cohort-individual cooperative learning for multimodal cancer survival analysis. _{IEEE Trans Med Imaging · 04 Feb 2025 · paper}
• CMCRL — Cross-modal causal representation learning for radiology report generation. _{IEEE Trans Image Process · 2025 · paper}
• PaNSegNet — Large-scale multi-center deep learning segmentation of the pancreas on CT and MRI. _{Med Image Anal · 08 Nov 2024 · paper}
• Dn-Dp — Diffusion probabilistic priors for zero-shot low-dose CT image denoising. _{Med Phys · 16 Oct 2024 · paper}
• CPKD — Privileged knowledge distillation using clinical priors for reliable pancreatic lesion classification. _{Med Image Anal · 23 Mar 2026 · paper}
• DVAP-Reg — Dual-view anatomical prior-driven cross-dimensional image registration for spinal surgery navigation. _{Med Image Anal · 31 Dec 2025 · paper}
• Voxelmap — Deep learning framework for patient-specific 3D respiratory motion modeling and volumetric imaging during radiotherapy. _{Med Phys · Jul 2025 · paper}
• StruP-Net — Unsupervised domain adaptation for intracranial vessel segmentation with structure-preservation constraints. _{Med Biol Eng Comput · 21 Oct 2024 · paper}
• UTSRMorph — Unsupervised medical image registration unifying transformer and super-resolution networks. _{IEEE Trans Med Imaging · 04 Feb 2025 · paper}
• NExpR — Neural explicit representation for fast arbitrary-scale medical image super-resolution. _{Comput Biol Med · 26 Nov 2024 · paper}
• OTMorph — Unsupervised multi-domain abdominal image registration using neural optimal transport. _{IEEE Trans Med Imaging · 02 Jan 2025 · paper}

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General (88)

• Eden — Self-supervised autodidactic learning of dense anatomical models from medical images. _{Med Image Anal · 05 May 2026 · paper}
• YoloSeg — You-only-label-once weakly-supervised framework for efficient medical image segmentation. _{Med Image Anal · 21 Apr 2026 · paper}
• HP-GAN — Improves GAN image generation using pretrained networks, FakeTwins, and discriminator consistency. _{Neural Netw · 29 Jan 2026 · paper}
• MedSapiens — Pose-estimation-inspired model for anatomical landmark detection across medical images. _{Med Image Anal · 07 Mar 2026 · paper}
• UnCoL — Uncertainty-informed collaborative learning for semi-supervised medical image segmentation. _{IEEE Trans Med Imaging · Jun 2026 · paper}
• BankCausal — Causal intervention framework for multi-label medical image diagnosis beyond correlation. _{IEEE Trans Med Imaging · 29 May 2026 · paper}
• OpenRad — Curated repository of open-access AI models for radiology applications. _{Eur Radiol · 28 May 2026 · paper}
• medical_report_generation — Bilingual medical report generation using open-weight language models with oversight analysis. _{J Am Med Inform Assoc · 08 May 2026 · paper}
• CPAC-SAM — SAM-driven cross prompting with adaptive sampling consistency for semi-supervised medical segmentation. _{Med Image Anal · 03 Feb 2026 · paper}
• mgmae — Self-supervised masked autoencoder with Vision Transformers for 3D CT/MRI segmentation pretraining. _{Med Image Anal · 06 Feb 2026 · paper}
• SAViT — Efficient shared attention Vision Transformer framework for general medical image analysis. _{IEEE Trans Med Imaging · May 2026 · paper}
• Co-Seg-Plus — Mutual prompt-guided collaborative learning for versatile multi-task medical image segmentation. _{IEEE Trans Med Imaging · May 2026 · paper}
• Expert-Like-Reparameterization-of-Heterogeneous-Pyramid-Receptive-Fields — Reparameterized heterogeneous pyramid receptive fields in efficient CNNs for fair medical image classification. _{IEEE Trans Med Imaging · May 2026 · paper}
• NeuroAIHub — AI-driven framework for automated curation and discovery of neuroradiology datasets. _{AJNR Am J Neuroradiol · 24 Apr 2026 · paper}
• EviVLM — Evidential learning combined with vision-language models for reliable medical image segmentation. _{IEEE Trans Med Imaging · Apr 2026 · paper}
• FairFedMed — Benchmark and FairLoRA method for group fairness in federated medical imaging. _{IEEE Trans Med Imaging · Apr 2026 · paper}
• ius — Interpretable metric for assessing the utility and similarity of synthetic medical images. _{IEEE Trans Med Imaging · 31 Mar 2026 · paper}
• Average-Calibration-Losses — Average calibration loss functions for reliable uncertainty in medical image segmentation. _{IEEE Trans Med Imaging · 11 Mar 2026 · paper}
• ReShapeIT — Reliable shape interaction with implicit templates for anatomical structure reconstruction. _{Int J Comput Assist Radiol Surg · 13 Dec 2025 · paper}
• MOE_Morph — Lightweight pyramid model with heterogeneous mixture-of-experts for deformable medical image registration. _{IEEE Trans Med Imaging · Mar 2026 · paper}
• FGI — Bridges human gaze attention and vision-language model explanations for weakly-supervised medical segmentation. _{IEEE Trans Med Imaging · Mar 2026 · paper}
• MUSCLE — Evidence-theory-based multi-scale fusion for medical image classification. _{IEEE Trans Med Imaging · Mar 2026 · paper}
• ddmt — Dual-decoder mutual teaching with a mean teacher framework for semi-supervised medical image segmentation. _{Pattern Recognit · 21 Jul 2025 · paper}
• Foundation-Models-meet-Medical-Image-Interpretation — Foundation models applied to medical image interpretation tasks. _{Research (Wash D C) · 27 Feb 2026 · paper}
• checklist.html — REFINE consensus reporting checklist for foundation and large language models in medical research. _{Diagn Interv Radiol · 26 Feb 2026 · paper}
• GridReg — Studies degrees of freedom of gridded control points in learning-based medical image registration. _{Med Phys · Feb 2026 · paper}
• Fuzzy-Rough-Set-Loss — Fuzzy rough set loss function for precise deep-learning-based medical image segmentation. _{Comput Med Imaging Graph · 23 Jan 2026 · paper}
• SPARSE — GAN-based few-shot semi-supervised learning via class-conditioned image translation for low-label medical regimes. _{Comput Med Imaging Graph · 08 Jan 2026 · paper}
• ModeTv2 — GPU-accelerated motion decomposition transformer for deformable pairwise medical image registration. _{Med Image Anal · 10 Nov 2025 · paper}
• VSANet — Generates radiology reports via a visual-semantic ambivalence-aware network with focal self-critical sequence training. _{Neural Netw · 11 Sep 2025 · paper}
• MetaSSL — A general heterogeneous loss for semi-supervised segmentation of medical images. _{IEEE Trans Med Imaging · Feb 2026 · paper}
• TSIAA — Single-domain generalized medical image segmentation using teacher-student instance-level adversarial augmentation. _{IEEE Trans Med Imaging · Feb 2026 · paper}
• TET_loss — A temperature-entropy calibrated transfer loss for reliable and well-calibrated medical image classification. _{J Imaging Inform Med · 05 Jan 2026 · paper}
• FasterSAM — Accelerates the Segment Anything vision foundation model for efficient medical image segmentation. _{Med Phys · Jan 2026 · paper}
• AdverIN — Domain-generalized medical image segmentation via a monotonic adversarial intensity attack augmentation. _{Med Image Anal · 23 Oct 2025 · paper}
• MeshGraphCNN — Automatically extracts liver surface anatomical landmarks using a nested-resolution mesh-graph CNN. _{Med Image Anal · 04 Oct 2025 · paper}
• KD-in-MIA — Comprehensive overview of knowledge distillation and teacher-student learning methods in medical imaging. _{Med Image Anal · 25 Sep 2025 · paper}
• Hi-End-MAE — Hierarchical encoder-driven masked autoencoders for self-supervised pretraining of medical image segmentation models. _{Med Image Anal · 12 Sep 2025 · paper}
• RGA — A region-guided adversarial attack method targeting the Segment Anything Model. _{Neural Netw · 02 Sep 2025 · paper}
• CausalAD — Semi-supervised domain-generalized medical image segmentation via collaborative learning of augmentation and disentanglement. _{IEEE Trans Med Imaging · Jan 2026 · paper}
• DuCiSC — Semi-supervised medical image segmentation using dual cross-image semantic consistency with self-aware pseudo labeling. _{IEEE Trans Med Imaging · Jan 2026 · paper}
• SAMA-UNet — Medical image segmentation U-Net with self-adaptive Mamba-like attention and causal-resonance learning. _{Sci Rep · 03 Dec 2025 · paper}
• DD-SAM2 — Adapts Segment Anything Model 2 with depthwise-dilated convolutional adapters for medical object tracking and segmentation. _{Mach Learn Sci Technol · 29 Oct 2025 · paper}
• MedCLIP-SAMv2 — Universal text-driven medical image segmentation combining CLIP and the Segment Anything Model. _{Med Image Anal · 07 Aug 2025 · paper}
• RDG-TMI — A few-shot learning framework for supervised diffeomorphic deformable medical image registration. _{IEEE Trans Med Imaging · Dec 2025 · paper}
• dmv — Learns medial axis approximations as deep medial voxels for anatomical shape modeling. _{IEEE Trans Med Imaging · Dec 2025 · paper}
• CBVLM — Training-free explainable concept-based large vision-language models for medical image classification. _{Comput Biol Med · 10 Oct 2025 · paper}
• VariMix — A variety-guided data mixing framework for explainable medical image classification. _{Comput Methods Programs Biomed · 16 Aug 2025 · paper}
• UST-RUN — Exploits intermediate domains for mixed-domain semi-supervised medical image segmentation. _{IEEE Trans Med Imaging · Nov 2025 · paper}
• AMVLM — Alignment-multiplicity aware vision-language model for semi-supervised medical image segmentation. _{IEEE Trans Med Imaging · Nov 2025 · paper}
• ETSEF — Robust and explainable ensemble framework addressing data scarcity in diagnostic medical imaging. _{Comput Biol Med · 17 Sep 2025 · paper}
• FSDA-DG — Improves cross-domain generalization of medical image segmentation using few source-domain annotations. _{Med Image Anal · 27 Jun 2025 · paper}
• LMSNet — A learned Mumford-Shah network for binary few-shot medical image segmentation. _{Med Image Anal · 15 Jun 2025 · paper}
• AuxOL — Improves Segment Anything for medical image segmentation via on-the-fly auxiliary online learning. _{IEEE Trans Med Imaging · Oct 2025 · paper}
• SFR — SAM-enabled stitch, fine-tune, and re-train framework for semi-supervised 3D medical image segmentation. _{IEEE Trans Med Imaging · Oct 2025 · paper}
• AnnotationEfficiency2D — Studies efficient image annotation strategies for training high-performing deep learning segmentation models. _{J Imaging Inform Med · 22 Jan 2025 · paper}
• Disease-informed-VLM-Adaptation — Disease-informed adaptation of vision-language models for medical image analysis and classification. _{IEEE Trans Med Imaging · Oct 2025 · paper}
• MILR-COBRAS — Logic reasoning-driven interactive algorithm for efficient medical image data annotation. _{Comput Med Imaging Graph · 11 Aug 2025 · paper}
• UnCo — Uncertainty co-estimator improving semi-supervised medical image segmentation accuracy. _{IEEE Trans Med Imaging · Sep 2025 · paper}
• CalibratedSL — Uncertainty quantification and quality control for heatmap-based anatomical landmark detection. _{IEEE Trans Med Imaging · Aug 2025 · paper}
• ABeDice — Adaptive boundary-enhanced Dice loss function improving medical image segmentation accuracy. _{Biomed Signal Process Control · 20 Feb 2025 · paper}
• GH-UNet — Group-wise hybrid convolution-ViT UNet for robust medical image segmentation. _{NPJ Digit Med · 10 Jul 2025 · paper}
• RadiologyNET-TL-models — RadiologyNET foundation models providing pretrained weights for transfer learning in radiology. _{Sci Rep · 01 Jul 2025 · paper}
• CGS — Collaborative generalist-specialist framework balancing multi-target semi-supervised medical image segmentation. _{IEEE Trans Med Imaging · Jul 2025 · paper}
• VerSemi — Versatile unified paradigm for semi-supervised medical image segmentation across multiple datasets. _{IEEE Trans Med Imaging · Jul 2025 · paper}
• BoCLIS — Boundary-guided contrastive learning for semi-supervised medical image segmentation. _{IEEE Trans Med Imaging · Jul 2025 · paper}
• WeakMedSAM — Weakly-supervised medical image segmentation using SAM with sub-class exploration and prompt affinity mining. _{IEEE Trans Med Imaging · Jul 2025 · paper}
• GCML — Decentralized federated medical image segmentation via gossip contrastive mutual learning. _{IEEE Trans Med Imaging · Jul 2025 · paper}
• SAMatch — SAM-guided, match-based semi-supervised segmentation framework for medical imaging. _{Med Phys · 29 Mar 2025 · paper}
• BenchmarkTransferLearning — Large-scale benchmark and pretrained models for transfer learning in medical image analysis. _{Med Image Anal · 21 Feb 2025 · paper}
• KnowSAM — Learnable-prompt SAM knowledge distillation for semi-supervised medical image segmentation. _{IEEE Trans Med Imaging · 02 May 2025 · paper}
• CLCS — Imbalanced medical image segmentation robust to pixel-dependent noisy labels. _{IEEE Trans Med Imaging · 02 May 2025 · paper}
• MedIAnomaly — Comparative benchmark study of anomaly detection methods in medical images. _{Med Image Anal · 17 Feb 2025 · paper}
• DEeR — Privacy-preserving federated low-rank adaptation for medical imaging that eliminates deviation and regulates noise. _{IEEE Trans Med Imaging · 03 Apr 2025 · paper}
• PASS — Test-time prompt tuning adapting styles and semantic shapes for robust medical image segmentation. _{IEEE Trans Med Imaging · 03 Apr 2025 · paper}
• ScientificImagingPaper — Inverted self-attention deep network framework for medical image classification and prediction. _{Sci Rep · 13 Mar 2025 · paper}
• PPC — Semi-supervised medical image segmentation using probabilistic representations and prototype learning. _{IEEE Trans Med Imaging · 17 Mar 2025 · paper}
• FedLPPA — Federated weakly-supervised medical image segmentation learning personalized prompts and aggregation. _{IEEE Trans Med Imaging · 17 Mar 2025 · paper}
• TopologicalDataAnalysis3D — Computes persistence images from 3D medical volumes using superpixels and optimized Gaussian coefficients. _{Proc SPIE Int Soc Opt Eng · 04 Apr 2025 · paper}
• DSPNet — Few-shot medical image segmentation using high-fidelity learned prototypes. _{Med Image Anal · 30 Nov 2024 · paper}
• CQformer — Transformer learning dynamics across slices for volumetric medical image segmentation. _{IEEE Trans Med Imaging · 04 Feb 2025 · paper}
• Explicit-Shape-Priors — Medical image segmentation enhanced with explicit learned shape priors. _{IEEE Trans Med Imaging · 04 Feb 2025 · paper}
• convexAdam — Self-configuring dual-optimization 3D multitask medical image registration running in seconds. _{IEEE Trans Med Imaging · 04 Feb 2025 · paper}
• FastSAM3D_slicer — 3D Slicer extension running FastSAM3D volumetric Segment Anything with uncertainty quantification. _{Found Models Gen Med AI · 28 Sep 2024 · paper}
• OPHash — Organ and pathology context-sensitive hashing for content-based medical image retrieval. _{J Med Imaging (Bellingham) · 19 Feb 2025 · paper}
• PLDG — Prompt-driven latent domain generalization for robust medical image classification. _{IEEE Trans Med Imaging · 02 Jan 2025 · paper}
• LeFeD — Consistency-guided differential decoding for semi-supervised medical image segmentation. _{IEEE Trans Med Imaging · 02 Jan 2025 · paper}
• IGU-Aug — Information-guided unsupervised augmentation with pixel-wise contrastive learning for medical image analysis. _{IEEE Trans Med Imaging · 02 Jan 2025 · paper}

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