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Papers
Exploiting Intermediate Reconstructions in Optical Coherence Tomography for Test-Time Adaptation of Medical Image Segmentation
MIDL 2026
Frequency-Aligned Cross-Modal Learning with Top-K Wavelet Fusion and Dynamic Expert Routing for Enhanced Retinal Disease Diagnosis
AAAI 2026
LASOR: Towards Clinically Transparent and Explainable Ophthalmic Report Generation via Lesion-Aware Segmentation
WACV 2026
Blood Flow Speed Estimation with Optical Coherence Tomography Angiography Images
CVPR 2025
Enhancing Post-Treatment Visual Acuity Prediction with Multimodal Deep Learning on Small-scale Clinical and OCT Datasets
MIDL 2025
MuTri: Multi-view Tri-alignment for OCT to OCTA 3D Image Translation
CVPR 2025
FluidRegNet: Longitudinal registration of retinal OCT images with new pathological fluids
MIDL 2024
Predicting Age-related Macular Degeneration Progression from Retinal Optical Coherence Tomography with Intra-Subject Temporal Consistency
MIDL 2024
Predictive Powered Inference for Healthcare; Relating Optical Coherence Tomography Scans to Multiple Sclerosis Disease Progression
MLHC 2024
Selective Nonlinearities Removal from Digital Signals
CVPR 2024
Harvard Glaucoma Detection and Progression: A Multimodal Multitask Dataset and Generalization-Reinforced Semi-Supervised Learning
ICCV 2023
OLIVES Dataset: Ophthalmic Labels for Investigating Visual Eye Semantics
NeurIPS 2022
Self-Supervised Bulk Motion Artifact Removal in Optical Coherence Tomography Angiography
CVPR 2022
Cascade Dual-branch Deep Neural Networks for Retinal Layer and fluid Segmentation of Optical Coherence Tomography Incorporating Relative Positional Map
MIDL 2020
Domain adaptation model for retinopathy detection from cross-domain OCT images
MIDL 2020
Pathological Retinal Region Segmentation From OCT Images Using Geometric Relation Based Augmentation
CVPR 2020
Dense Segmentation in Selected Dimensions: Application to Retinal Optical Coherence Tomography
MIDL 2019