Research map: MHF-Net: a multi-modal hybrid fusion network for ophthalmic disease diagnosis

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  1. CBAM: Convolutional Block Attention Module · Sanghyun Woo · 2018 · 23759 citations · Cited by this paper
  2. Severe celiac trunk stenosis following blunt trauma in a patient with diabetic ketoacidosis: a diagnostic dilemma of traumatic injury versus median arcuate ligament syndrome · 2026 · Related
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  11. A foundation model for generalizable disease detection from retinal images · Yukun Zhou · 2023 · 987 citations · Cited by this paper
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  13. Swin Transformer: Hierarchical Vision Transformer using Shifted Windows · Ze Liu · 2021 · 411 citations · Cited by this paper
  14. Case Report: Intravascular large B-cell lymphoma presenting with cauda equina syndrome: a rare case and diagnostic dilemma · 2026 · Related
  15. Deep learning-based automated detection of retinal diseases using optical coherence tomography images · Li Feng · 2019 · 195 citations · Cited by this paper
  16. A “well-kept secret”: facilitators and barriers to occupational therapy referral as a component of supportive cancer care in the United States · 2026 · Related
  17. A ConvNet for the 2020s · Zhuang Liu · 2022 · 187 citations · Cited by this paper
  18. Determination of the median effective dose (ED₅₀) of oliceridine combined with propofol for inhibiting gastroscope insertion responses in adult patients undergoing painless gastroscopy · 2026 · Related
  19. The possibility of the combination of OCT and fundus images for improving the diagnostic accuracy of deep learning for age-related macular degeneration: a preliminary experiment · Tae Keun Yoo · 2018 · 165 citations · Cited by this paper
  20. Research hotspots, context, and future directions of ulcerative colitis comorbid with depression from 2006 to 2025: a bibliometric and visualization analysis · 2026 · Related
  21. Multi-Modal Retinal Image Classification With Modality-Specific Attention Network · Xingxin He · 2021 · 132 citations · Cited by this paper
  22. Learning Two-Stream CNN for Multi-Modal Age-Related Macular Degeneration Categorization · Weisen Wang · 2022 · 85 citations · Cited by this paper
  23. Development and Validation of a Multimodal Multitask Vision Foundation Model for Generalist Ophthalmic Artificial Intelligence · Jianing Qiu · 2024 · 76 citations · Cited by this paper
  24. Convolutional Network With Twofold Feature Augmentation for Diabetic Retinopathy Recognition From Multi-Modal Images · Cam-Hao Hua · 2020 · 68 citations · Cited by this paper
  25. An Automated Image Segmentation and Useful Feature Extraction Algorithm for Retinal Blood Vessels in Fundus Images · Aws A. Abdulsahib · 2022 · 55 citations · Cited by this paper
  26. Retinal Image Enhancement Using Cycle-Constraint Adversarial Network · Cheng Wan · 2022 · 49 citations · Cited by this paper
  27. Deep Ensemble Learning for Retinal Image Classification · Edward Y. T. Ho · 2022 · 47 citations · Cited by this paper
  28. Multimodal, multitask, multiattention (M3) deep learning detection of reticular pseudodrusen: Toward automated and accessible classification of age-related macular degeneration · Qingyu Chen · 2020 · 43 citations · Cited by this paper
  29. Cross-modal attention network for retinal disease classification based on multi-modal images · Zirong Liu · 2024 · 33 citations · Cited by this paper
  30. Multi-rater Prism: Learning self-calibrated medical image segmentation from multiple raters · Junde Wu · 2024 · 32 citations · Cited by this paper
  31. Automated diagnosis of age‐related macular degeneration using multi‐modal vertical plane feature fusion via deep learning · Menglu Chen · 2022 · 29 citations · Cited by this paper
  32. Editorial: Artificial intelligence applications in chronic ocular diseases · Yanwu Xu · 2023 · 23 citations · Cited by this paper
  33. Multicolor image classification using the multimodal information bottleneck network (MMIB-Net) for detecting diabetic retinopathy · Jingqi Song · 2021 · 14 citations · Cited by this paper
  34. M 2 LC-Net: A multi-modal multi-disease long-tailed classification network for real clinical scenes · Zhonghong Ou · 2021 · 14 citations · Cited by this paper
  35. Two-Stream CNN with Loose Pair Training for Multi-modal AMD Categorization · Weisen Wang · 2019 · 5 citations · Cited by this paper
  36. Multimodal Information Fusion for Glaucoma and DR Classification · Yihao Li · 2022 · 5 citations · Cited by this paper
  37. Efficient Blood Cell Classification Using a Hybrid Variational Quantum Circuit–EfficientNet Model on BloodMNIST · Eman A. Radhi · 2025 · 5 citations · Cited by this paper
  38. Applications of Deep Learning in Fundus Images: A Review · Tao Li · 2021 · 4 citations · Cited by this paper
  39. Automated Multi-Class Diabetic Retinopathy Classification Using EfficientNet-B2 Based on Color Fundus Images · Abdulrahman Abbas Mukhlif · 2025 · 3 citations · Cited by this paper

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