{"total":136,"rows":[{"id":"2201.09873","title":"Transformers in Medical Imaging: A Survey","created":"2022-01-24","cited_by_count":245,"area":null},{"id":"2301.03505","title":"Advances in Medical Image Analysis with Vision Transformers: A Comprehensive Review","created":"2023-01-09","cited_by_count":62,"area":null},{"id":"2201.03230","title":"Swin Transformer for Fast MRI","created":"2022-01-10","cited_by_count":56,"area":null},{"id":"2201.09376","title":"ReconFormer: Accelerated MRI Reconstruction Using Recurrent Transformer","created":"2022-01-23","cited_by_count":52,"area":null},{"id":"2202.12165","title":"Transformers in Medical Image Analysis: A Review","created":"2022-02-24","cited_by_count":41,"area":null},{"id":"2204.13738","title":"One Model to Synthesize Them All: Multi-contrast Multi-scale Transformer for Missing Data Imputation","created":"2022-04-28","cited_by_count":40,"area":null},{"id":"2304.05340","title":"Unified Multi-Modal Image Synthesis for Missing Modality Imputation","created":"2023-04-11","cited_by_count":40,"area":null},{"id":"2111.14923","title":"Equitable modelling of brain imaging by counterfactual augmentation with morphologically constrained 3D deep generative models","created":"2021-11-29","cited_by_count":36,"area":null},{"id":"2201.10737","title":"Class-Aware Adversarial Transformers for Medical Image Segmentation","created":"2022-01-26","cited_by_count":33,"area":null},{"id":"2202.04175","title":"Federated Learning of Generative Image Priors for MRI Reconstruction","created":"2022-02-08","cited_by_count":33,"area":null},{"id":"2205.11578","title":"BolT: Fused Window Transformers for fMRI Time Series Analysis","created":"2022-05-23","cited_by_count":23,"area":null},{"id":"2207.06509","title":"One Model to Unite Them All: Personalized Federated Learning of Multi-Contrast MRI Synthesis","created":"2022-07-13","cited_by_count":22,"area":null},{"id":"2307.16143","title":"Structure-Preserving Synthesis: MaskGAN for Unpaired MR-CT Translation","created":"2023-07-30","cited_by_count":19,"area":null},{"id":"2203.06217","title":"Medical Image Segmentation on MRI Images with Missing Modalities: A Review","created":"2022-03-11","cited_by_count":18,"area":null},{"id":"2403.20142","title":"StegoGAN: Leveraging Steganography for Non-Bijective Image-to-Image Translation","created":"2024-03-29","cited_by_count":18,"area":null},{"id":"2307.00067","title":"Transformers in Healthcare: A Survey","created":"2023-06-30","cited_by_count":17,"area":null},{"id":"2107.09543","title":"Data synthesis and adversarial networks: A review and meta-analysis in cancer imaging","created":"2021-07-20","cited_by_count":15,"area":null},{"id":"2407.06250","title":"FairDiff: Fair Segmentation with Point-Image Diffusion","created":"2024-07-08","cited_by_count":15,"area":null},{"id":"2307.09547","title":"DreaMR: Diffusion-driven Counterfactual Explanation for Functional MRI","created":"2023-07-18","cited_by_count":14,"area":null},{"id":"2212.01108","title":"Multi-scale Transformer Network with Edge-aware Pre-training for Cross-Modality MR Image Synthesis","created":"2022-12-02","cited_by_count":13,"area":null},{"id":"2302.09244","title":"Dual-Domain Self-Supervised Learning for Accelerated Non-Cartesian MRI Reconstruction","created":"2023-02-18","cited_by_count":13,"area":null},{"id":"2309.08747","title":"Unified Brain MR-Ultrasound Synthesis using Multi-Modal Hierarchical Representations","created":"2023-09-15","cited_by_count":13,"area":null},{"id":"2310.02663","title":"MedPrompt: Cross-Modal Prompting for Multi-Task Medical Image Translation","created":"2023-10-04","cited_by_count":13,"area":null},{"id":"2504.06897","title":"MedSegFactory: Text-Guided Generation of Medical Image-Mask Pairs","created":"2025-04-09","cited_by_count":13,"area":null},{"id":"2302.10630","title":"LIT-Former: Linking In-plane and Through-plane Transformers for Simultaneous CT Image Denoising and Deblurring","created":"2023-02-21","cited_by_count":12,"area":null},{"id":"2307.12775","title":"Is attention all you need in medical image analysis? A review","created":"2023-07-24","cited_by_count":12,"area":null},{"id":"2510.15710","title":"UniMedVL: Unifying Medical Multimodal Understanding and Generation through Observation-Knowledge-Analysis","created":"2025-10-17","cited_by_count":12,"area":null},{"id":"2302.00517","title":"Synthesis-based Imaging-Differentiation Representation Learning for Multi-Sequence 3D/4D MRI","created":"2023-02-01","cited_by_count":11,"area":null},{"id":"2409.13094","title":"DenoMamba: A fused state-space model for low-dose CT denoising","created":"2024-09-19","cited_by_count":11,"area":null},{"id":"2302.08641","title":"Transformer-based Generative Adversarial Networks in Computer Vision: A Comprehensive Survey","created":"2023-02-17","cited_by_count":10,"area":null},{"id":"2406.19611","title":"Multimodal Data Integration for Precision Oncology: Challenges and Future Directions","created":"2024-06-28","cited_by_count":10,"area":null},{"id":"2208.06643","title":"Recent Progress in Transformer-based Medical Image Analysis","created":"2022-08-13","cited_by_count":9,"area":null},{"id":"2307.00885","title":"An Explainable Deep Framework: Towards Task-Specific Fusion for Multi-to-One MRI Synthesis","created":"2023-07-03","cited_by_count":9,"area":null},{"id":"2404.14852","title":"Ultrasound Nodule Segmentation Using Asymmetric Learning with Simple Clinical Annotation","created":"2024-04-23","cited_by_count":9,"area":null},{"id":"2410.19378","title":"Unified Cross-Modal Medical Image Synthesis with Hierarchical Mixture of Product-of-Experts","created":"2024-10-25","cited_by_count":9,"area":null},{"id":"2406.18967","title":"Structural Attention: Rethinking Transformer for Unpaired Medical Image Synthesis","created":"2024-06-27","cited_by_count":8,"area":null},{"id":"2412.09331","title":"Physics-Driven Autoregressive State Space Models for Medical Image Reconstruction","created":"2024-12-12","cited_by_count":8,"area":null},{"id":"2508.09177","title":"Generative Artificial Intelligence in Medical Imaging: Foundations, Progress, and Clinical Translation","created":"2025-08-07","cited_by_count":8,"area":null},{"id":"2211.15371","title":"Content-Based Medical Image Retrieval with Opponent Class Adaptive Margin Loss","created":"2022-11-22","cited_by_count":7,"area":null},{"id":"2303.10436","title":"FD-Net: An Unsupervised Deep Forward-Distortion Model for Susceptibility Artifact Correction in EPI","created":"2023-03-18","cited_by_count":7,"area":null},{"id":"2210.01713","title":"Anatomically constrained CT image translation for heterogeneous blood vessel segmentation","created":"2022-10-04","cited_by_count":6,"area":null},{"id":"2304.04902","title":"Weakly Supervised Intracranial Hemorrhage Segmentation using Head-Wise Gradient-Infused Self-Attention Maps from a Swin Transformer in Categorical Learning","created":"2023-04-11","cited_by_count":6,"area":null},{"id":"2310.06143","title":"HydraViT: Adaptive Multi-Branch Transformer for Multi-Label Disease Classification from Chest X-ray Images","created":"2023-10-09","cited_by_count":6,"area":null},{"id":"2310.07633","title":"Attention-Map Augmentation for Hypercomplex Breast Cancer Classification","created":"2023-10-11","cited_by_count":6,"area":null},{"id":"2311.08225","title":"Uni-COAL: A Unified Framework for Cross-Modality Synthesis and Super-Resolution of MR Images","created":"2023-11-14","cited_by_count":6,"area":null},{"id":"2410.14965","title":"Non-Invasive to Invasive: Enhancing FFA Synthesis from CFP with a Benchmark Dataset and a Novel Network","created":"2024-10-19","cited_by_count":6,"area":null},{"id":"2411.15576","title":"MulModSeg: Enhancing Unpaired Multi-Modal Medical Image Segmentation with Modality-Conditioned Text Embedding and Alternating Training","created":"2024-11-23","cited_by_count":6,"area":null},{"id":"2112.01177","title":"MutualFormer: Multi-Modality Representation Learning via Cross-Diffusion Attention","created":"2021-12-02","cited_by_count":5,"area":null},{"id":"2203.12944","title":"Transformers Meet Visual Learning Understanding: A Comprehensive Review","created":"2022-03-24","cited_by_count":5,"area":null},{"id":"2206.13394","title":"CS$^2$: A Controllable and Simultaneous Synthesizer of Images and Annotations with Minimal Human Intervention","created":"2022-06-20","cited_by_count":5,"area":null},{"id":"2502.04521","title":"Generative Autoregressive Transformers for Model-Agnostic Federated MRI Reconstruction","created":"2025-02-06","cited_by_count":5,"area":null},{"id":"2207.09529","title":"COVID-19 Detection from Respiratory Sounds with Hierarchical Spectrogram Transformers","created":"2022-07-19","cited_by_count":4,"area":null},{"id":"2210.05952","title":"3D Brain and Heart Volume Generative Models: A Survey","created":"2022-10-12","cited_by_count":4,"area":null},{"id":"2212.10817","title":"High-fidelity Direct Contrast Synthesis from Magnetic Resonance Fingerprinting","created":"2022-12-21","cited_by_count":4,"area":null},{"id":"2402.01509","title":"Advancing Brain Tumor Inpainting with Generative Models","created":"2024-02-02","cited_by_count":4,"area":null},{"id":"2411.04630","title":"Brain Tumour Removing and Missing Modality Generation using 3D WDM","created":"2024-11-07","cited_by_count":4,"area":null},{"id":"2411.12755","title":"SAM-I2I: Unleash the Power of Segment Anything Model for Medical Image Translation","created":"2024-11-13","cited_by_count":4,"area":null},{"id":"2411.14684","title":"Learning Modality-Aware Representations: Adaptive Group-wise Interaction Network for Multimodal MRI Synthesis","created":"2024-11-22","cited_by_count":4,"area":null},{"id":"2412.00575","title":"Multi-resolution Guided 3D GANs for Medical Image Translation","created":"2024-11-30","cited_by_count":4,"area":null},{"id":"2501.18328","title":"Virtual Full-stack Scanning of Brain MRI via Imputing Any Quantised Code","created":"2025-01-30","cited_by_count":4,"area":null},{"id":"2504.07336","title":"Zeus: Zero-shot LLM Instruction for Union Segmentation in Multimodal Medical Imaging","created":"2025-04-09","cited_by_count":4,"area":null},{"id":"2508.07041","title":"SAGCNet: Spatial-Aware Graph Completion Network for Missing Slice Imputation in Population CMR Imaging","created":"2025-08-09","cited_by_count":4,"area":null},{"id":"2309.03320","title":"CoNeS: Conditional neural fields with shift modulation for multi-sequence MRI translation","created":"2023-09-06","cited_by_count":3,"area":null},{"id":"2311.08032","title":"ELF: An End-to-end Local and Global Multimodal Fusion Framework for Glaucoma Grading","created":"2023-11-14","cited_by_count":3,"area":null},{"id":"2312.15064","title":"Joint Self-Supervised and Supervised Contrastive Learning for Multimodal MRI Data: Towards Predicting Abnormal Neurodevelopment","created":"2023-12-22","cited_by_count":3,"area":null},{"id":"2401.01553","title":"Multi-modal Learning with Missing Modality in Predicting Axillary Lymph Node Metastasis","created":"2024-01-03","cited_by_count":3,"area":null},{"id":"2406.16074","title":"CAVM: Conditional Autoregressive Vision Model for Contrast-Enhanced Brain Tumor MRI Synthesis","created":"2024-06-23","cited_by_count":3,"area":null},{"id":"2409.01622","title":"T1-contrast Enhanced MRI Generation from Multi-parametric MRI for Glioma Patients with Latent Tumor Conditioning","created":"2024-09-03","cited_by_count":3,"area":null},{"id":"2411.06106","title":"Towards a Universal 3D Medical Multi-modality Generalization via Learning Personalized Invariant Representation","created":"2024-11-09","cited_by_count":3,"area":null},{"id":"2412.15113","title":"Associative memory inspires improvements for in-context learning using a novel attention residual stream architecture","created":"2024-12-19","cited_by_count":3,"area":null},{"id":"2503.01265","title":"Interactive Gadolinium-Free MRI Synthesis: A Transformer with Localization Prompt Learning","created":"2025-03-03","cited_by_count":3,"area":null},{"id":"2504.18020","title":"Federated Client-tailored Adapter for Medical Image Segmentation","created":"2025-04-25","cited_by_count":3,"area":null},{"id":"2207.02073","title":"A Densely Interconnected Network for Deep Learning Accelerated MRI","created":"2022-07-05","cited_by_count":2,"area":null},{"id":"2306.01562","title":"An Attentive-based Generative Model for Medical Image Synthesis","created":"2023-06-02","cited_by_count":2,"area":null},{"id":"2310.05572","title":"A Simple and Robust Framework for Cross-Modality Medical Image Segmentation applied to Vision Transformers","created":"2023-10-09","cited_by_count":2,"area":null},{"id":"2405.04902","title":"HAGAN: Hybrid Augmented Generative Adversarial Network for Medical Image Synthesis","created":"2024-05-08","cited_by_count":2,"area":null},{"id":"2406.05631","title":"CCSI: Continual Class-Specific Impression for Data-free Class Incremental Learning","created":"2024-06-09","cited_by_count":2,"area":null},{"id":"2407.02911","title":"Non-Adversarial Learning: Vector-Quantized Common Latent Space for Multi-Sequence MRI","created":"2024-07-03","cited_by_count":2,"area":null},{"id":"2407.07372","title":"Multi-modal MRI Translation via Evidential Regression and Distribution Calibration","created":"2024-07-10","cited_by_count":2,"area":null},{"id":"2407.07660","title":"Boosting Medical Image Synthesis via Registration-guided Consistency and Disentanglement Learning","created":"2024-07-10","cited_by_count":2,"area":null},{"id":"2410.10269","title":"Two-Stage Approach for Brain MR Image Synthesis: 2D Image Synthesis and 3D Refinement","created":"2024-10-14","cited_by_count":2,"area":null},{"id":"2510.15556","title":"Diffusion Bridge Networks Simulate Clinical-grade PET from MRI for Dementia Diagnostics","created":"2025-10-17","cited_by_count":2,"area":null},{"id":"2208.03028","title":"Multimodal Brain Disease Classification with Functional Interaction Learning from Single fMRI Volume","created":"2022-08-05","cited_by_count":1,"area":null},{"id":"2312.00387","title":"Partition-based K-space Synthesis for Multi-contrast Parallel Imaging","created":"2023-12-01","cited_by_count":1,"area":null},{"id":"2403.16112","title":"Opportunities and challenges in the application of large artificial intelligence models in radiology","created":"2024-03-24","cited_by_count":1,"area":null},{"id":"2405.04629","title":"ResNCT: A Deep Learning Model for the Synthesis of Nephrographic Phase Images in CT Urography","created":"2024-05-07","cited_by_count":1,"area":null},{"id":"2407.12897","title":"Generative models of MRI-derived neuroimaging features and associated dataset of 18,000 samples","created":"2024-07-17","cited_by_count":1,"area":null},{"id":"2502.10662","title":"Towards Zero-Shot Task-Generalizable Learning on fMRI","created":"2025-02-15","cited_by_count":1,"area":null},{"id":"2505.02007","title":"Efficient Noise Calculation in Deep Learning-based MRI Reconstructions","created":"2025-05-04","cited_by_count":1,"area":null},{"id":"2505.07364","title":"GAN-based synthetic FDG PET images from T1 brain MRI can serve to improve performance of deep unsupervised anomaly detection models","created":"2025-05-12","cited_by_count":1,"area":null},{"id":"2506.02467","title":"Multi-modal brain MRI synthesis based on SwinUNETR","created":"2025-06-03","cited_by_count":1,"area":null},{"id":"2509.24182","title":"Tumor Synthesis conditioned on Radiomics","created":"2025-09-29","cited_by_count":1,"area":null},{"id":"2510.04947","title":"Bidirectional Mammogram View Translation with Column-Aware and Implicit 3D Conditional Diffusion","created":"2025-10-06","cited_by_count":1,"area":null},{"id":"2510.08951","title":"FS-RWKV: Leveraging Frequency Spatial-Aware RWKV for 3T-to-7T MRI Translation","created":"2025-10-10","cited_by_count":1,"area":null},{"id":"2510.13735","title":"Cyclic Self-Supervised Diffusion for Ultra Low-field to High-field MRI Synthesis","created":"2025-10-15","cited_by_count":1,"area":null},{"id":"2601.04785","title":"SRUG: A Fusion-Driven Generator Network for Medical Image Translation","created":"2026-01-08","cited_by_count":1,"area":null},{"id":"2209.02797","title":"Fusion of Satellite Images and Weather Data with Transformer Networks for Downy Mildew Disease Detection","created":"2022-09-06","cited_by_count":0,"area":null},{"id":"2210.14909","title":"Automated Diagnosis of Cardiovascular Diseases from Cardiac Magnetic Resonance Imaging Using Deep Learning Models: A Review","created":"2022-10-26","cited_by_count":0,"area":null},{"id":"2211.13902","title":"TAOTF: A Two-stage Approximately Orthogonal Training Framework in Deep Neural Networks","created":"2022-11-25","cited_by_count":0,"area":null},{"id":"2311.02583","title":"FSDA-DG: Improving Cross-Domain Generalizability of Medical Image Segmentation with Few Source Domain Annotations","created":"2023-11-05","cited_by_count":0,"area":null}],"next_cursor":"100"}