Research map: Supporting transformer-based cardiac MRI segmentation with text-to-image controllable diffusion pipelines

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  1. Recommendations for Cardiac Chamber Quantification by Echocardiography in Adults: An Update from the American Society of Echocardiography and the European Association of Cardiovascular Imaging · Roberto Miguel Lang · 2015 · 8520 citations · Cited by this paper
  2. Multi-level information fusion for explainable diagnosis of melanoma using dermoscopic images · 2026 · Related
  3. Deep Learning Techniques for Automatic MRI Cardiac Multi-Structures Segmentation and Diagnosis: Is the Problem Solved? · Olivier Bernard · 2018 · 2428 citations · Cited by this paper
  4. Vessel-MAYON: A 3D direction-aware deep network for intracranial vessel segmentation from MRA Images · 2026 · Related
  5. Artificial Intelligence in Cardiology · Kipp W. Johnson · 2018 · 1199 citations · Cited by this paper
  6. ScribSAM: A robust scribble-supervised framework for spatiotemporal segmentation of breast lesions in ultrasound videos · 2026 · Related
  7. Deep Learning for Cardiac Image Segmentation: A Review · Chen Chen · 2020 · 870 citations · Cited by this paper
  8. RFD: A Reducing Feature Discrepancy method for unsupervised cross-modality SAM adaptation · 2026 · Related
  9. nnFormer: Volumetric Medical Image Segmentation via a 3D Transformer · Hong-Yu Zhou · 2023 · 724 citations · Cited by this paper
  10. Adaptive prompting for dual-task learning: Towards high-quality MRI reconstruction from unidentified degradation · 2026 · Related
  11. Multi-Centre, Multi-Vendor and Multi-Disease Cardiac Segmentation: The M&Ms Challenge · Victor M. Campello · 2021 · 473 citations · Cited by this paper
  12. Adaptive aggregation in federated learning for retinal vein occlusion detection: A dynamic approach based on data distribution · 2026 · Related
  13. H2Former: An Efficient Hierarchical Hybrid Transformer for Medical Image Segmentation · Along He · 2023 · 397 citations · Cited by this paper
  14. Mask-aware foundational-model embeddings for 18F-FDG-PET/CT prognosis in multiple myeloma · 2026 · Related
  15. Global Cardiovascular Diseases Death Rate Prediction · Oleg Gaidai · 2023 · 396 citations · Cited by this paper
  16. SegMeshNet: Joint heart segmentation and mesh reconstruction with task-aware shared attention · 2026 · Related
  17. Fully convolutional multi-scale residual DenseNets for cardiac segmentation and automated cardiac diagnosis using ensemble of classifiers · Mahendra Khened · 2018 · 392 citations · Cited by this paper
  18. Leveraging co-attention-based interactions between pathology and radiology for pan-cancer survival prediction · 2026 · Related
  19. Artificial Intelligence in Cardiology: Present and Future · Francisco Alejandro López-Jiménez · 2020 · 291 citations · Cited by this paper
  20. Segmentation-aware Generative Reinforcement Network (GRN) for tissue layer segmentation in 3-D ultrasound images for chronic low-back pain (cLBP) assessment · 2026 · Related
  21. Convolutional Neural Network With Shape Prior Applied to Cardiac MRI Segmentation · Clément Zotti · 2018 · 216 citations · Cited by this paper
  22. CSWin-UNet: Transformer UNet with cross-shaped windows for medical image segmentation · Xiao Liu · 2024 · 196 citations · Cited by this paper
  23. SegFormer3D: an Efficient Transformer for 3D Medical Image Segmentation · Shehan R. Perera · 2024 · 132 citations · Cited by this paper
  24. Continuous assessment of left ventricular shape in man. · D G Gibson · 1975 · 104 citations · Cited by this paper
  25. Diagnosis of Right Ventricular Dysfunction in Acute Pulmonary Embolism Using Helical Computed Tomography · Nicolas Mansencal · 2005 · 70 citations · Cited by this paper
  26. On the usability of synthetic data for improving the robustness of deep learning-based segmentation of cardiac magnetic resonance images · Yasmina Al Khalil · 2022 · 61 citations · Cited by this paper
  27. Utility of deep learning networks for the generation of artificial cardiac magnetic resonance images in congenital heart disease · Gerhard‐Paul Diller · 2020 · 54 citations · Cited by this paper
  28. Automatic segmentation of the cardiac MR images based on nested fully convolutional dense network with dilated convolution · Hongyang Zhang · 2021 · 53 citations · Cited by this paper
  29. Attention-UNet architectures with pretrained backbones for multi-class cardiac MR image segmentation · Niharika Das · 2023 · 47 citations · Cited by this paper
  30. Label-informed cardiac magnetic resonance image synthesis through conditional generative adversarial networks · Sina Amirrajab · 2022 · 41 citations · Cited by this paper
  31. TF-Unet:An automatic cardiac MRI image segmentation method · Zhenyin Fu · 2022 · 34 citations · Cited by this paper
  32. Optimized automated cardiac MR scar quantification with GAN‐based data augmentation · Didier Lustermans · 2022 · 33 citations · Cited by this paper
  33. Left ventricular dimensions and mechanics in distance runners · Judith K. Mickelson · 1986 · 31 citations · Cited by this paper
  34. HResFormer: Hybrid Residual Transformer for Volumetric Medical Image Segmentation · Sucheng Ren · 2025 · 31 citations · Cited by this paper
  35. Cardiac aging synthesis from cross-sectional data with conditional generative adversarial networks · Víctor M. Campello · 2022 · 25 citations · Cited by this paper
  36. A cascade approach for automatic segmentation of cardiac structures in short-axis cine-MR images using deep neural networks · Italo Francyles Santos da Silva · 2022 · 23 citations · Cited by this paper
  37. Fréchet radiomic distance (FRD): A versatile metric for comparing medical imaging datasets · Nicholas Konz · 2026 · 4 citations · Cited by this paper
  38. When RNN Meets CNN and ViT: The Development of a Hybrid U-Net for Medical Image Segmentation · ZiRu Wang · 2025 · 2 citations · Cited by this paper
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