Medical Image Generation

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

5 leaderboard tables shown for this task, 5 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

6 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

1 subtask in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

30 shown of 42 papers with code (78 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• NiftyNet: a deep-learning platform for medical imaging
  11 Sep 2017 10 repositories listed Syntology ran 2 of 2 samples · 0 unverified
  NiftyNet provides a modular deep-learning pipeline for a range of medical imaging applications including segmentation, regression, image generation and representation learning applications.
• Generative Adversarial Networks for Image-to-Image Translation on Multi-Contrast MR Images - A Comparison of CycleGAN and UNIT
  20 Jun 2018 3 repositories listed
  Here, we evaluate two unsupervised GAN models (CycleGAN and UNIT) for image-to-image translation of T1- and T2-weighted MR images, by comparing generated synthetic MR images to ground truth images.
• Feature Extraction for Generative Medical Imaging Evaluation: New Evidence Against an Evolving Trend
  22 Nov 2023 2 repositories listed
  A recent trend is to adapt FID to medical imaging through feature extractors trained on medical images.
• Robust deep learning for eye fundus images: Bridging real and synthetic data for enhancing generalization
  25 Mar 2022 2 repositories listed
  We employed the STARE dataset for external validation, ensuring a comprehensive assessment of the proposed approach.
• ADN: Artifact Disentanglement Network for Unsupervised Metal Artifact Reduction
  3 Aug 2019 2 repositories listed
  Current deep neural network based approaches to computed tomography (CT) metal artifact reduction (MAR) are supervised methods that rely on synthesized metal artifacts for training.
• Skin Lesion Synthesis with Generative Adversarial Networks
  8 Feb 2019 2 repositories listed
  Skin cancer is by far the most common type of cancer.
• PnP-AdaNet: Plug-and-Play Adversarial Domain Adaptation Network with a Benchmark at Cross-modality Cardiac Segmentation
  19 Dec 2018 2 repositories listed Syntology ran 0 of 4 samples · 4 unverified
  In this paper, we propose the PnPAdaNet (plug-and-play adversarial domain adaptation network) for adapting segmentation networks between different modalities of medical images, e.
• Metrics that matter: Evaluating image quality metrics for medical image generation
  12 May 2025 1 repository listed
  Evaluating generative models for synthetic medical imaging is crucial yet challenging, especially given the high standards of fidelity, anatomical accuracy, and safety required for clinical applications.
• Latent Diffusion Autoencoders: Toward Efficient and Meaningful Unsupervised Representation Learning in Medical Imaging
  11 Apr 2025 1 repository listed
  This study presents Latent Diffusion Autoencoder (LDAE), a novel encoder-decoder diffusion-based framework for efficient and meaningful unsupervised learning in medical imaging, focusing on Alzheimer disease (AD) using…
• RELICT: A Replica Detection Framework for Medical Image Generation
  24 Feb 2025 1 repository listed
  Despite the potential of synthetic medical data for augmenting and improving the generalizability of deep learning models, memorization in generative models can lead to unintended leakage of sensitive patient…
• FedCAR: Cross-client Adaptive Re-weighting for Generative Models in Federated Learning
  16 Dec 2024 1 repository listed
  Generative models trained on multi-institutional datasets can provide an enriched understanding through diverse data distributions.
• MRGen: Diffusion-based Controllable Data Engine for MRI Segmentation towards Unannotated Modalities
  4 Dec 2024 1 repository listed
  Medical image segmentation has recently demonstrated impressive progress with deep neural networks, yet the heterogeneous modalities and scarcity of mask annotations limit the development of segmentation models on…
• Devil is in Details: Locality-Aware 3D Abdominal CT Volume Generation for Self-Supervised Organ Segmentation
  30 Sep 2024 1 repository listed
  To address the overlooked challenge, we introduce the Locality-Aware Diffusion (Lad), a novel method tailored for exquisite 3D abdominal CT volume generation.
• Kvasir-VQA: A Text-Image Pair GI Tract Dataset
  2 Sep 2024 1 repository listed Syntology ran 0 of 3 samples · 3 unverified · 3 pointer-only (licence)
  We introduce Kvasir-VQA, an extended dataset derived from the HyperKvasir and Kvasir-Instrument datasets, augmented with question-and-answer annotations to facilitate advanced machine learning tasks in Gastrointestinal…
• On Differentially Private 3D Medical Image Synthesis with Controllable Latent Diffusion Models
  23 Jul 2024 1 repository listed
  Generally, the small size of public medical imaging datasets coupled with stringent privacy concerns, hampers the advancement of data-hungry deep learning models in medical imaging.
• Soft Masked Mamba Diffusion Model for CT to MRI Conversion
  22 Jun 2024 1 repository listed
  Magnetic Resonance Imaging (MRI) and Computed Tomography (CT) are the predominant modalities utilized in the field of medical imaging.
• GANetic Loss for Generative Adversarial Networks with a Focus on Medical Applications
  7 Jun 2024 1 repository listed
  Experiments were performed with histopathological, gastrointestinal or glaucoma images to evaluate the GANetic loss in medical image generation, resulting in improved image quality compared to the baseline models.
• MemControl: Mitigating Memorization in Diffusion Models via Automated Parameter Selection
  29 May 2024 1 repository listed
  To the best of our knowledge, this is the first study to empirically evaluate memorization in medical images and propose a targeted yet universal mitigation strategy.
• UWAFA-GAN: Ultra-Wide-Angle Fluorescein Angiography Transformation via Multi-scale Generation and Registration Enhancement
  1 May 2024 1 repository listed
  Fundus photography, in combination with the ultra-wide-angle fundus (UWF) techniques, becomes an indispensable diagnostic tool in clinical settings by offering a more comprehensive view of the retina.
• Data-Efficient Unsupervised Interpolation Without Any Intermediate Frame for 4D Medical Images
  1 Apr 2024 1 repository listed
  4D medical images, which represent 3D images with temporal information, are crucial in clinical practice for capturing dynamic changes and monitoring long-term disease progression.
• Vision-Language Synthetic Data Enhances Echocardiography Downstream Tasks
  28 Mar 2024 1 repository listed
  High-quality, large-scale data is essential for robust deep learning models in medical applications, particularly ultrasound image analysis.
• WDM: 3D Wavelet Diffusion Models for High-Resolution Medical Image Synthesis
  29 Feb 2024 1 repository listed
  Due to the three-dimensional nature of CT- or MR-scans, generative modeling of medical images is a particularly challenging task.
• Anatomically-Controllable Medical Image Generation with Segmentation-Guided Diffusion Models
  7 Feb 2024 1 repository listed Syntology ran 0 of 1 samples · 1 unverified · 1 pointer-only (licence)
  Diffusion models have enabled remarkably high-quality medical image generation, yet it is challenging to enforce anatomical constraints in generated images.
• UWAT-GAN: Fundus Fluorescein Angiography Synthesis via Ultra-wide-angle Transformation Multi-scale GAN
  21 Jul 2023 1 repository listed
  Experiments on an in-house UWF image dataset demonstrate the superiority of the UWAT-GAN over the state-of-the-art methods.
• GenerateCT: Text-Conditional Generation of 3D Chest CT Volumes
  25 May 2023 1 repository listed Syntology ran 10 of 15 samples · 5 unverified
  GenerateCT, the first approach to generating 3D medical imaging conditioned on free-form medical text prompts, incorporates a text encoder and three key components: a novel causal vision transformer for encoding 3D CT…
• Medical diffusion on a budget: Textual Inversion for medical image generation
  23 Mar 2023 1 repository listed
  This work shows that adapting pre-trained Stable Diffusion models to medical imaging modalities is achievable by training text embeddings using Textual Inversion.
• SADM: Sequence-Aware Diffusion Model for Longitudinal Medical Image Generation
  16 Dec 2022 1 repository listed Syntology ran 1 of 1 samples · 0 unverified
  To this end, we propose a sequence-aware diffusion model (SADM) for the generation of longitudinal medical images.
• Medical Diffusion: Denoising Diffusion Probabilistic Models for 3D Medical Image Generation
  7 Nov 2022 1 repository listed
  Furthermore, we demonstrate that synthetic images can be used in a self-supervised pre-training and improve the performance of breast segmentation models when data is scarce (dice score 0.
• Backdoor Attack is a Devil in Federated GAN-based Medical Image Synthesis
  2 Jul 2022 1 repository listed
  In this study, we propose a way of attacking federated GAN (FedGAN) by treating the discriminator with a commonly used data poisoning strategy in backdoor attack classification models.
• Diffusion Deformable Model for 4D Temporal Medical Image Generation
  27 Jun 2022 1 repository listed
  Our proposed DDM is composed of the diffusion and the deformation modules so that DDM can learn spatial deformation information between the source and target volumes and provide a latent code for generating intermediate…

Syntology lines on 6 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.