{"total":31,"rows":[{"id":"2405.08431","title":"Similarity and Quality Metrics for MR Image-To-Image Translation","created":"2024-05-14","cited_by_count":20,"area":null},{"id":"2506.05127","title":"PixCell: A generative foundation model for digital histopathology images","created":"2025-06-05","cited_by_count":11,"area":null},{"id":"2502.17160","title":"A Pragmatic Note on Evaluating Generative Models with Fr\\'echet Inception Distance for Retinal Image Synthesis","created":"2025-02-24","cited_by_count":9,"area":null},{"id":"2508.16783","title":"Improving Performance, Robustness, and Fairness of Radiographic AI Models with Finely-Controllable Synthetic Data","created":"2025-08-22","cited_by_count":7,"area":null},{"id":"2507.13458","title":"Domain-randomized deep learning for neuroimage analysis","created":"2025-07-17","cited_by_count":6,"area":null},{"id":"2505.12887","title":"RetinaLogos: Fine-Grained Synthesis of High-Resolution Retinal Images Through Captions","created":"2025-05-19","cited_by_count":5,"area":null},{"id":"2405.01822","title":"Report on the AAPM Grand Challenge on deep generative modeling for learning medical image statistics","created":"2024-05-03","cited_by_count":4,"area":null},{"id":"2504.15267","title":"Diffusion Bridge Models for 3D Medical Image Translation","created":"2025-04-21","cited_by_count":2,"area":null},{"id":"2504.19621","title":"AI Alignment in Medical Imaging: Unveiling Hidden Biases Through Counterfactual Analysis","created":"2025-04-28","cited_by_count":2,"area":null},{"id":"2506.23641","title":"VAP-Diffusion: Enriching Descriptions with MLLMs for Enhanced Medical Image Generation","created":"2025-06-30","cited_by_count":2,"area":null},{"id":"2507.09227","title":"PanoDiff-SR: Synthesizing Dental Panoramic Radiographs using Diffusion and Super-resolution","created":"2025-07-12","cited_by_count":2,"area":null},{"id":"2409.16002","title":"Unleashing the Potential of Synthetic Images: A Study on Histopathology Image Classification","created":"2024-09-24","cited_by_count":1,"area":null},{"id":"2410.19820","title":"Advancing Histopathology with Deep Learning Under Data Scarcity: A Decade in Review","created":"2024-10-18","cited_by_count":1,"area":null},{"id":"2503.02345","title":"CQ CNN: A Hybrid Classical Quantum Convolutional Neural Network for Alzheimer's Disease Detection Using Diffusion Generated and U Net Segmented 3D MRI","created":"2025-03-04","cited_by_count":1,"area":null},{"id":"2505.04963","title":"ViCTr: Vital Consistency Transfer for Pathology Aware Image Synthesis","created":"2025-05-08","cited_by_count":1,"area":null},{"id":"2509.07277","title":"Breast Cancer Detection in Thermographic Images via Diffusion-Based Augmentation and Nonlinear Feature Fusion","created":"2025-09-08","cited_by_count":1,"area":null},{"id":"2605.23094","title":"Do Synthetic Brain MRIs Reliably Improve Tumour Classification? A StyleGAN2-ADA Class-Plane Augmentation Study on BRISC 2025","created":"2026-05-21","cited_by_count":1,"area":null},{"id":"2609.17169","title":"MUMINS: Metadata-conditioned Uncertainty-aware Medical Image Next-state Synthesis","created":"2026-09-15","cited_by_count":1,"area":null},{"id":"2409.03977","title":"Bi-modality medical images synthesis by a bi-directional discrete process matching method","created":"2024-09-06","cited_by_count":0,"area":null},{"id":"2506.11691","title":"DMAF-Net: An Effective Modality Rebalancing Framework for Incomplete Multi-Modal Medical Image Segmentation","created":"2025-06-13","cited_by_count":0,"area":null},{"id":"2507.03341","title":"UltraDfeGAN: Detail-Enhancing Generative Adversarial Networks for High-Fidelity Functional Ultrasound Synthesis","created":"2025-07-04","cited_by_count":0,"area":null},{"id":"2507.17008","title":"Bringing Balance to Hand Shape Classification: Mitigating Data Imbalance Through Generative Models","created":"2025-07-22","cited_by_count":0,"area":null},{"id":"2508.14118","title":"Hallucinations in medical devices","created":"2025-08-18","cited_by_count":0,"area":null},{"id":"2508.17223","title":"Deep Learning Architectures for Medical Image Denoising: A Comparative Study of CNN-DAE, CADTra, and DCMIEDNet","created":"2025-08-24","cited_by_count":0,"area":null},{"id":"2511.04729","title":"Knowledge-based anomaly detection for identifying network-induced shape artifacts","created":"2025-11-06","cited_by_count":0,"area":null},{"id":"2511.12098","title":"DINOv3-Guided Cross Fusion Framework for Semantic-aware CT generation from MRI and CBCT","created":"2025-11-15","cited_by_count":0,"area":null},{"id":"2602.23447","title":"SALIENT: Frequency-Aware Paired Diffusion for Controllable Long-Tail CT Detection","created":"2026-02-26","cited_by_count":0,"area":null},{"id":"2606.18970","title":"A Controlled Benchmark of Quantum-Latent GAN Augmentation for Brain MRI","created":"2026-06-17","cited_by_count":0,"area":null},{"id":"2608.27199","title":"Vision-centric generative AI models: A software-hardware perspective","created":"2026-08-27","cited_by_count":0,"area":null},{"id":"2609.18943","title":"Dose-Aware Cold Diffusion with Physics Consistency for Generalizable Low-Dose CT Reconstruction","created":"2026-07-15","cited_by_count":0,"area":null},{"id":"2609.31912","title":"PredRA: Fast Medical Image Translation by Deterministic Component Extraction and Controlled Stochastic Refinement","created":"2026-09-25","cited_by_count":0,"area":null}],"next_cursor":null}