arXiv Computer Vision
CRISP: Corneal Confocal Microscopy Real-Time Image Stitching Pipeline
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arXiv Computer Vision
Sep 4
ARCOS: Zero-shot Boundary Localization for Corneal Layer Segmentation Across Optical Coherence Tomography Devices
ARCOS is a patch-based zero-shot boundary localization framework designed for corneal layer segmentation in optical coherence tomography (OCT) images. It predicts boundary heatmaps from overlapping native-resolution patches, stitches these predictions across full B-scans, and refines them with a self-conditioned module to produce continuous, anatomically ordered layer segmentations. Evaluated on clinical OCT data from multiple devices, ARCOS achieved 95.1% off‑by‑one boundary accuracy on matched-device tests and 84.3% on unseen devices, with low mean absolute boundary errors and accurate thickness estimates.
arXiv AI
Jun 16
EyeMVP: OCT-Informed Fundus Representation Learning via Paired CFP--OCT Pretraining
arXiv:2606. 15129v1 Announce Type: cross Abstract: Color fundus photography (CFP) is the mainstay for large-scale retinal screening, yet its diagnostic capacity is constrained by the lack of depth-resolved structural information.
Hugging Face Trending Papers
Aug 11
CasDeblurGS: Cascaded 2D-to-3D Multi-View Consistency for 3D Gaussian Splatting from Two Blurry Images
Free-viewpoint 3D scene media is increasingly important for immersive applications, yet practical capture often suffers from severe view sparsity and motion blur. Although neural rendering has advanced sparse-view synthesis, existing blur-aware methods typically require substantial multi-view redundancy, accurate camera poses, or costly per-scene optimization.
arXiv AI
Jun 16
Propagating Structural Guidance: Synthesizing Fluorescein Angiography from Fundus Images and Sparse OCT Scans
arXiv:2606. 16234v1 Announce Type: cross Abstract: Fundus fluorescein angiography (FFA) is critical for assessing retinal vascular abnormalities, but its acquisition is invasive and not always feasible.
arXiv Computer Vision
Sep 1
Multimodal Shared Latent Representation of Narration, Microscope and iOCT Images for Phase Recognition in Vitreoretinal Surgery
arXiv:2608.31065v1 Announce Type: new Abstract: Surgical phase recognition is key to context-aware computer-assisted feedback in vitreoretinal procedures, yet the scarcity of synchronized multimodal...
arXiv Machine Learning
Aug 11
Multi-frame Restoration for 10 Hz Lissajous Confocal Laser Endomicroscopy
arXiv:2605. 00527v3 Announce Type: replace-cross Abstract: Lissajous confocal laser endomicroscopy (CLE) is a promising solution for high-speed in vivo optical biopsy for handheld scenarios.