Image de couverture de livre

Advancing AI-Powered Medical Image Synthesis: Insights from MedVQA-GI Challenge Using CLIP, Fine-Tuned Stable Diffusion, and Dream-Booth + LoRA

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Peter, Ojonugwa Oluwafemi Ejiga, Rahman, Md Mahmudur, Khalifa, Fahmi
Format:	Preprint
Publié:	2025
Sujets:	Computer Vision and Pattern Recognition Artificial Intelligence Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Parameter-Efficient VLMs for Gastrointestinal Endoscopy: Medical Image Generation and Clinical Visual Question Answering
par: Peter, Ojonugwa Oluwafemi Ejiga, et autres
Publié: (2026)

Synthetic Data-Driven Multi-Architecture Framework for Automated Polyp Segmentation Through Integrated Detection and Mask Generation
par: Peter, Ojonugwa Oluwafemi Ejiga, et autres
Publié: (2025)

Kvasir-VQA-x1: A Multimodal Dataset for Medical Reasoning and Robust MedVQA in Gastrointestinal Endoscopy
par: Gautam, Sushant, et autres
Publié: (2025)

MedVQA-TREE: A Multimodal Reasoning and Retrieval Framework for Sarcopenia Prediction
par: Moradbeiki, Pardis, et autres
Publié: (2025)

LoRA-FAIR: Federated LoRA Fine-Tuning with Aggregation and Initialization Refinement
par: Bian, Jieming, et autres
Publié: (2024)

CE-LoRA: Computation-Efficient LoRA Fine-Tuning for Language Models
par: Chen, Guanduo, et autres
Publié: (2025)

DR-LoRA: Dynamic Rank LoRA for Fine-Tuning Mixture-of-Experts Models
par: Deng, Guanzhi, et autres
Publié: (2026)

HydraLoRA: An Asymmetric LoRA Architecture for Efficient Fine-Tuning
par: Tian, Chunlin, et autres
Publié: (2024)

LoRAFusion: Efficient LoRA Fine-Tuning for LLMs
par: Zhu, Zhanda, et autres
Publié: (2025)

KD-LoRA: A Hybrid Approach to Efficient Fine-Tuning with LoRA and Knowledge Distillation
par: Azimi, Rambod, et autres
Publié: (2024)

Rethinking the Rank Threshold for LoRA Fine-Tuning
par: Park, Juneyoung
Publié: (2026)

LoRA-Edge: Tensor-Train-Assisted LoRA for Practical CNN Fine-Tuning on Edge Devices
par: Kwak, Hyunseok, et autres
Publié: (2025)

LoRA-MME: Multi-Model Ensemble of LoRA-Tuned Encoders for Code Comment Classification
par: Haider, Md Akib, et autres
Publié: (2026)

Transformer-Based Explainable Deep Learning for Breast Cancer Detection in Mammography: The MammoFormer Framework
par: Peter, Ojonugwa Oluwafemi Ejiga, et autres
Publié: (2025)

LoRA-Squeeze: Simple and Effective Post-Tuning and In-Tuning Compression of LoRA Modules
par: Vulić, Ivan, et autres
Publié: (2026)

LoRA-PAR: A Flexible Dual-System LoRA Partitioning Approach to Efficient LLM Fine-Tuning
par: Huang, Yining, et autres
Publié: (2025)

A LoRA-Based Approach to Fine-Tuning LLMs for Educational Guidance in Resource-Constrained Settings
par: Hosen, Md Millat
Publié: (2025)

L1RA: Dynamic Rank Assignment in LoRA Fine-Tuning
par: Singh, Raul, et autres
Publié: (2025)

Riemannian Preconditioned LoRA for Fine-Tuning Foundation Models
par: Zhang, Fangzhao, et autres
Publié: (2024)

FinLoRA: Benchmarking LoRA Methods for Fine-Tuning LLMs on Financial Datasets
par: Wang, Dannong, et autres
Publié: (2025)

LoRA-Edit: Controllable First-Frame-Guided Video Editing via Mask-Aware LoRA Fine-Tuning
par: Gao, Chenjian, et autres
Publié: (2025)

ALTO: Adaptive LoRA Tuning and Orchestration for Heterogeneous LoRA Training Workloads
par: Zuo, Jingwei, et autres
Publié: (2026)

SHE-LoRA: Selective Homomorphic Encryption for Federated Tuning with Heterogeneous LoRA
par: Liu, Jianmin, et autres
Publié: (2025)

FedTreeLoRA: Reconciling Statistical and Functional Heterogeneity in Federated LoRA Fine-Tuning
par: Bian, Jieming, et autres
Publié: (2026)

Adaptive LoRA Experts Allocation and Selection for Federated Fine-Tuning
par: Wang, Lei, et autres
Publié: (2025)

LoRA vs. Full Fine-Tuning: A Theoretical Perspective
par: Zindari, Ali, et autres
Publié: (2026)

Kron-LoRA: Hybrid Kronecker-LoRA Adapters for Scalable, Sustainable Fine-tuning
par: Shen, Yixin
Publié: (2025)

MaLoRA: Gated Modality LoRA for Key-Space Alignment in Multimodal LLM Fine-Tuning
par: Zheng, Xinhan, et autres
Publié: (2025)

HypeLoRA: Hyper-Network-Generated LoRA Adapters for Calibrated Language Model Fine-Tuning
par: Trojan, Bartosz, et autres
Publié: (2026)

MixLoRA: Enhancing Large Language Models Fine-Tuning with LoRA-based Mixture of Experts
par: Li, Dengchun, et autres
Publié: (2024)

Parameter-Efficient Fine-Tuning for HAR: Integrating LoRA and QLoRA into Transformer Models
par: Seregina, Irina, et autres
Publié: (2025)

NaRA: Noise-Aware LoRA for Parameter-Efficient Fine-Tuning of Diffusion LLMs
par: Wang, Shuaidi, et autres
Publié: (2026)

LowRA: Accurate and Efficient LoRA Fine-Tuning of LLMs under 2 Bits
par: Zhou, Zikai, et autres
Publié: (2025)

LoRA in LoRA: Towards Parameter-Efficient Architecture Expansion for Continual Visual Instruction Tuning
par: Che, Chang, et autres
Publié: (2025)

LoRA-Leak: Membership Inference Attacks Against LoRA Fine-tuned Language Models
par: Ran, Delong, et autres
Publié: (2025)

Convergence Analysis of Aggregation-Broadcast in LoRA-enabled Distributed Fine-Tuning
par: Chen, Xin, et autres
Publié: (2025)

Learning in the Fisher Subspace: A Guided Initialization for LoRA Fine-Tuning
par: Feng, Zhi-Quan, et autres
Publié: (2026)

Risks When Sharing LoRA Fine-Tuned Diffusion Model Weights
par: Yao, Dixi
Publié: (2024)

$α$-LoRA: Effective Fine-Tuning via Base Model Rescaling
par: Firdoussi, Aymane El, et autres
Publié: (2025)

How Relevance Emerges: Interpreting LoRA Fine-Tuning in Reranking LLMs
par: Nijasure, Atharva, et autres
Publié: (2025)