manuscript: figures + references + abstract funnel (10pp)

results/manuscript/sn-bibliography.bib

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+%% OCTFlow references.
+%% 高置信度核心条目(常见经典文献,字段较可靠);标 "VERIFY" 的为眼科专用 FM/数据集,
+%% 投稿前请用 nature-citation 脚本(联网)核对作者/年份/卷期。
+
+@article{retfound,
+  author  = "Zhou, Yukun and others",
+  title   = "A foundation model for generalizable disease detection from retinal images",
+  journal = "Nature",
+  volume  = "622",
+  pages   = "156--163",
+  year    = "2023"
+}
+
+@article{kermany,
+  author  = "Kermany, Daniel S. and others",
+  title   = "Identifying medical diagnoses and treatable diseases by image-based deep learning",
+  journal = "Cell",
+  volume  = "172",
+  number  = "5",
+  pages   = "1122--1131",
+  year    = "2018"
+}
+
+@inproceedings{sd3,
+  author    = "Esser, Patrick and others",
+  title     = "Scaling rectified flow transformers for high-resolution image synthesis",
+  booktitle = "International Conference on Machine Learning (ICML)",
+  year      = "2024"
+}
+
+@inproceedings{ldm,
+  author    = "Rombach, Robin and Blattmann, Andreas and Lorenz, Dominik and Esser, Patrick and Ommer, Bj{\"o}rn",
+  title     = "High-resolution image synthesis with latent diffusion models",
+  booktitle = "IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)",
+  year      = "2022"
+}
+
+@inproceedings{lipman,
+  author    = "Lipman, Yaron and Chen, Ricky T. Q. and Ben-Hamu, Heli and Nickel, Maximilian and Le, Matt",
+  title     = "Flow matching for generative modeling",
+  booktitle = "International Conference on Learning Representations (ICLR)",
+  year      = "2023"
+}
+
+@article{dinov2,
+  author  = "Oquab, Maxime and others",
+  title   = "{DINOv2}: Learning robust visual features without supervision",
+  journal = "Transactions on Machine Learning Research (TMLR)",
+  year    = "2024"
+}
+
+@inproceedings{diffclassifier,
+  author    = "Li, Alexander C. and Prabhudesai, Mihir and Duggal, Shivam and Brown, Ellis and Pathak, Deepak",
+  title     = "Your diffusion model is secretly a zero-shot classifier",
+  booktitle = "IEEE/CVF International Conference on Computer Vision (ICCV)",
+  year      = "2023"
+}
+
+@inproceedings{sscd,
+  author    = "Pizzi, Ed and Roy, Sreya Dutta and Ravindra, Sugosh Nagavara and Goyal, Priya and Douze, Matthijs",
+  title     = "A self-supervised descriptor for image copy detection",
+  booktitle = "IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)",
+  year      = "2022"
+}
+
+@inproceedings{lpips,
+  author    = "Zhang, Richard and Isola, Phillip and Efros, Alexei A. and Shechtman, Eli and Wang, Oliver",
+  title     = "The unreasonable effectiveness of deep features as a perceptual metric",
+  booktitle = "IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)",
+  year      = "2018"
+}
+
+@inproceedings{fid,
+  author    = "Heusel, Martin and Ramsauer, Hubert and Unterthiner, Thomas and Nessler, Bernhard and Hochreiter, Sepp",
+  title     = "{GANs} trained by a two time-scale update rule converge to a local {N}ash equilibrium",
+  booktitle = "Advances in Neural Information Processing Systems (NeurIPS)",
+  year      = "2017"
+}
+
+%% ---- 眼科专用 FM / 数据集:字段待联网核验(VERIFY)----
+@article{visionfm,
+  author  = "Qiu, Jianing and others",
+  title   = "Development and validation of a multimodal multitask vision foundation model for generalist ophthalmic artificial intelligence ({VisionFM})",
+  journal = "NEJM AI",
+  year    = "2024",
+  note    = "VERIFY bibliographic details"
+}
+
+@article{mirage,
+  author  = "others",
+  title   = "{MIRAGE}: multimodal foundation model and benchmark for comprehensive retinal {OCT} image analysis",
+  year    = "2024",
+  note    = "VERIFY authors/venue"
+}
+
+@article{octa500,
+  author  = "Li, Mingchao and others",
+  title   = "{OCTA-500}: a retinal dataset for optical coherence tomography angiography study",
+  journal = "Medical Image Analysis",
+  year    = "2024",
+  note    = "VERIFY bibliographic details"
+}
+
+@article{oimhs,
+  author  = "others",
+  title   = "{OIMHS}: an optical coherence tomography image dataset for macular hole segmentation",
+  year    = "2023",
+  note    = "VERIFY authors/venue"
+}