Imagen de Portada

TAPE: A two-stage parameter-efficient adaptation framework for foundation models in OCT-OCTA analysis

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Su, Xiaofei, Wang, Zengshuo, Sun, Minghe, Zhao, Xin, Sun, Mingzhu
Formato:	Preprint
Publicado:	2026
Materias:	Computer Vision and Pattern Recognition
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

MIRAGE: Multimodal foundation model and benchmark for comprehensive retinal OCT image analysis
por: Morano, José, et al.
Publicado: (2025)

Vessel-Promoted OCT to OCTA Image Translation by Heuristic Contextual Constraints
por: Li, Shuhan, et al.
Publicado: (2023)

MuTri: Multi-view Tri-alignment for OCT to OCTA 3D Image Translation
por: Chen, Zhuangzhuang, et al.
Publicado: (2025)

VAMOS-OCTA: Vessel-Aware Multi-Axis Orthogonal Supervision for Inpainting Motion-Corrupted OCT Angiography Volumes
por: DiSanto, Nick, et al.
Publicado: (2026)

In defense of the two-stage framework for open-set domain adaptive semantic segmentation
por: Ren, Wenqi, et al.
Publicado: (2026)

XOCT: Enhancing OCT to OCTA Translation via Cross-Dimensional Supervised Multi-Scale Feature Learning
por: Khosravi, Pooya, et al.
Publicado: (2025)

SAM-OCTA2: Layer Sequence OCTA Segmentation with Fine-tuned Segment Anything Model 2
por: Chen, Xinrun, et al.
Publicado: (2024)

An efficient framework based on large foundation model for cervical cytopathology whole slide image screening
por: Huang, Jialong, et al.
Publicado: (2024)

Teaching pathology foundation models to accurately predict gene expression with parameter efficient knowledge transfer
por: Pan, Shi, et al.
Publicado: (2025)

GreenRFM: Toward a resource-efficient radiology foundation model
por: Li, Yingtai, et al.
Publicado: (2026)

Towards foundational LiDAR world models with efficient latent flow matching
por: Liu, Tianran, et al.
Publicado: (2025)

OMSN and FAROS: OCTA Microstructure Segmentation Network and Fully Annotated Retinal OCTA Segmentation Dataset
por: Xiao, Peng, et al.
Publicado: (2022)

Geospatial foundation models for image analysis: evaluating and enhancing NASA-IBM Prithvi's domain adaptability
por: Hsu, Chia-Yu, et al.
Publicado: (2024)

Vessel-Aware Deep Learning for OCTA-Based Detection of AMD
por: Mitzner, Margalit G., et al.
Publicado: (2026)

ENSAM: an efficient foundation model for interactive segmentation of 3D medical images
por: Stenhede, Elias, et al.
Publicado: (2025)

MedDINOv3: How to adapt vision foundation models for medical image segmentation?
por: Li, Yuheng, et al.
Publicado: (2025)

Gaze into the Details: Locality-Sensitive Enhancement for OCTA Retinal Vessel Segmentation
por: Huang, Tuopusen, et al.
Publicado: (2026)

BIR-Adapter: A parameter-efficient diffusion adapter for blind image restoration
por: Eteke, Cem, et al.
Publicado: (2025)

A data- and compute-efficient chest X-ray foundation model beyond aggressive scaling
por: Wang, Chong, et al.
Publicado: (2026)

Combo: Co-speech holistic 3D human motion generation and efficient customizable adaptation in harmony
por: Xu, Chao, et al.
Publicado: (2024)

Quantitative Characterization of Retinal Features in Translated OCTA
por: Badhon, Rashadul Hasan, et al.
Publicado: (2024)

Are foundation models efficient for medical image segmentation?
por: Ferreira, Danielle, et al.
Publicado: (2023)

Label-efficient underwater species classification with logistic regression on frozen foundation model embeddings
por: Rost, Thomas Manuel
Publicado: (2026)

Accurate and efficient zero-shot 6D pose estimation with frozen foundation models
por: Caraffa, Andrea, et al.
Publicado: (2025)

Multi-label classification for multi-temporal, multi-spatial coral reef condition monitoring using vision foundation model with adapter learning
por: Shao, Xinlei, et al.
Publicado: (2025)

Full end-to-end diagnostic workflow automation of 3D OCT via foundation model-driven AI for retinal diseases
por: Zhang, Jinze, et al.
Publicado: (2026)

An interpretable framework using foundation models for fish sex identification
por: Miao, Zheng, et al.
Publicado: (2026)

Streamline pathology foundation model by cross-magnification distillation
por: Su, Ziyu, et al.
Publicado: (2025)

Print2Volume: Generating Synthetic OCT-based 3D Fingerprint Volume from 2D Fingerprint Image
por: Miao, Qingran, et al.
Publicado: (2025)

A texture-based framework for foundational ultrasound models
por: Grutman, Tal, et al.
Publicado: (2026)

VAMPIRE: Uncovering Vessel Directional and Morphological Information from OCTA Images for Cardiovascular Disease Risk Factor Prediction
por: Wang, Lehan, et al.
Publicado: (2025)

Enhancing Retinal Disease Classification from OCTA Images via Active Learning Techniques
por: Thrasher, Jacob, et al.
Publicado: (2024)

A deep learning framework for efficient pathology image analysis
por: Neidlinger, Peter, et al.
Publicado: (2025)

End-to-end reconstruction of OCT optical properties and speckle-reduced structural intensity via physics-based learning
por: Yu, Jinglun, et al.
Publicado: (2026)

TeethGenerator: A two-stage framework for paired pre- and post-orthodontic 3D dental data generation
por: Lei, Changsong, et al.
Publicado: (2025)

Sleep-stage efficient classification using a lightweight self-supervised model
por: Durães, Eldiane Borges dos Santos, et al.
Publicado: (2026)

Memory-efficient High-resolution OCT Volume Synthesis with Cascaded Amortized Latent Diffusion Models
por: Huang, Kun, et al.
Publicado: (2024)

Toward explainable AI approaches for breast imaging: adapting foundation models to diverse populations
por: Cavalcante, Guilherme J., et al.
Publicado: (2025)

Ecological mapping with geospatial foundation models
por: Mahlasi, Craig, et al.
Publicado: (2026)

ZScribbleSeg: A comprehensive segmentation framework with modeling of efficient annotation and maximization of scribble supervision
por: Zhang, Ke, et al.
Publicado: (2026)