{"total":177,"rows":[{"id":"2201.09873","title":"Transformers in Medical Imaging: A Survey","created":"2022-01-24","cited_by_count":245,"area":null},{"id":"2207.08208","title":"Unsupervised Medical Image Translation with Adversarial Diffusion Models","created":"2022-07-17","cited_by_count":192,"area":"diffusion"},{"id":"2207.05876","title":"Adaptive Diffusion Priors for Accelerated MRI Reconstruction","created":"2022-07-12","cited_by_count":118,"area":"diffusion"},{"id":"2303.14081","title":"CoLa-Diff: Conditional Latent Diffusion Model for Multi-Modal MRI Synthesis","created":"2023-03-24","cited_by_count":65,"area":"diffusion"},{"id":"2311.00265","title":"Adaptive Latent Diffusion Model for 3D Medical Image to Image Translation: Multi-modal Magnetic Resonance Imaging Study","created":"2023-11-01","cited_by_count":64,"area":"diffusion"},{"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":"2307.10094","title":"Make-A-Volume: Leveraging Latent Diffusion Models for Cross-Modality 3D Brain MRI Synthesis","created":"2023-07-19","cited_by_count":43,"area":"diffusion"},{"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":"2405.06789","title":"Self-Consistent Recursive Diffusion Bridge for Medical Image Translation","created":"2024-05-10","cited_by_count":26,"area":"diffusion"},{"id":"2405.14022","title":"I2I-Mamba: Multi-modal medical image synthesis via selective state space modeling","created":"2024-05-22","cited_by_count":26,"area":"ssm"},{"id":"2409.08500","title":"Cross-conditioned Diffusion Model for Medical Image to Image Translation","created":"2024-09-13","cited_by_count":26,"area":"diffusion"},{"id":"2312.06224","title":"Medical Vision Language Pretraining: A survey","created":"2023-12-11","cited_by_count":24,"area":"mllm"},{"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":"2401.05159","title":"Derm-T2IM: Harnessing Synthetic Skin Lesion Data via Stable Diffusion Models for Enhanced Skin Disease Classification using ViT and CNN","created":"2024-01-10","cited_by_count":15,"area":"diffusion"},{"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":"2308.01096","title":"Learning Fourier-Constrained Diffusion Bridges for MRI Reconstruction","created":"2023-08-02","cited_by_count":14,"area":"diffusion"},{"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":"2406.08374","title":"2.5D Multi-view Averaging Diffusion Model for 3D Medical Image Translation: Application to Low-count PET Reconstruction with CT-less Attenuation Correction","created":"2024-06-12","cited_by_count":13,"area":"diffusion"},{"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":"2404.04960","title":"PairAug: What Can Augmented Image-Text Pairs Do for Radiology?","created":"2024-04-07","cited_by_count":10,"area":"mllm"},{"id":"2405.16942","title":"PASTA: Pathology-Aware MRI to PET Cross-Modal Translation with Diffusion Models","created":"2024-05-27","cited_by_count":10,"area":"diffusion"},{"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":"2405.05667","title":"VM-DDPM: Vision Mamba Diffusion for Medical Image Synthesis","created":"2024-05-09","cited_by_count":8,"area":"diffusion"},{"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":"2505.02048","title":"Regression is all you need for medical image translation","created":"2025-05-04","cited_by_count":8,"area":"diffusion"},{"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":"2409.00585","title":"McCaD: Multi-Contrast MRI Conditioned, Adaptive Adversarial Diffusion Model for High-Fidelity MRI Synthesis","created":"2024-09-01","cited_by_count":4,"area":"diffusion"},{"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":"2604.21146","title":"WFM: 3D Wavelet Flow Matching for Ultrafast Multi-Modal MRI Synthesis","created":"2026-04-22","cited_by_count":4,"area":"diffusion"},{"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":"2501.03526","title":"FgC2F-UDiff: Frequency-guided and Coarse-to-fine Unified Diffusion Model for Multi-modality Missing MRI Synthesis","created":"2025-01-07","cited_by_count":3,"area":"diffusion"},{"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":"2504.04523","title":"GAMBAS: Generalised-Hilbert Mamba for Super-resolution of Paediatric Ultra-Low-Field MRI","created":"2025-04-06","cited_by_count":3,"area":"ssm"},{"id":"2504.18020","title":"Federated Client-tailored Adapter for Medical Image Segmentation","created":"2025-04-25","cited_by_count":3,"area":null},{"id":"2507.11557","title":"3D Wavelet Latent Diffusion Model for Whole-Body MR-to-CT Modality Translation","created":"2025-07-14","cited_by_count":3,"area":"diffusion"},{"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":"2406.13977","title":"Similarity-aware Syncretic Latent Diffusion Model for Medical Image Translation with Representation Learning","created":"2024-06-20","cited_by_count":2,"area":"diffusion"},{"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}],"next_cursor":"100"}