Cover Image

CRAFT: Clinical Reward-Aligned Finetuning for Medical Image Synthesis

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Chung, Yunsung, Darzi, Alex El, Khoury, Carlo El, Feng, Han, Marrouche, Nassir, Hamm, Jihun
Format:	Preprint
Published:	2026
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

SoK: Can Synthetic Images Replace Real Data? A Survey of Utility and Privacy of Synthetic Image Generation
by: Chung, Yunsung, et al.
Published: (2025)

SOFA: Deep Learning Framework for Simulating and Optimizing Atrial Fibrillation Ablation
by: Chung, Yunsung, et al.
Published: (2025)

From Majority to Minority: A Diffusion-based Augmentation for Underrepresented Groups in Skin Lesion Analysis
by: Wang, Janet, et al.
Published: (2024)

Doctor Approved: Generating Medically Accurate Skin Disease Images through AI-Expert Feedback
by: Wang, Janet, et al.
Published: (2025)

Fair Text to Medical Image Diffusion Model with Subgroup Distribution Aligned Tuning
by: Han, Xu, et al.
Published: (2024)

Prime Once, then Reprogram Locally: An Efficient Alternative to Black-Box Service Model Adaptation
by: Zhang, Yunbei, et al.
Published: (2026)

OT-VP: Optimal Transport-guided Visual Prompting for Test-Time Adaptation
by: Zhang, Yunbei, et al.
Published: (2024)

Describe Anything in Medical Images
by: Xiao, Xi, et al.
Published: (2025)

Adapting in the Dark: Efficient and Stable Test-Time Adaptation for Black-Box Models
by: Zhang, Yunbei, et al.
Published: (2026)

HSCR: Hierarchical Self-Contrastive Rewarding for Aligning Medical Vision Language Models
by: Jiang, Songtao, et al.
Published: (2025)

DPCore: Dynamic Prompt Coreset for Continual Test-Time Adaptation
by: Zhang, Yunbei, et al.
Published: (2024)

CRAFT: Aligning Diffusion Models with Fine-Tuning Is Easier Than You Think
by: Sun, Zening, et al.
Published: (2026)

Impact of Clinical Image Quality on Efficient Foundation Model Finetuning
by: Tang, Yucheng, et al.
Published: (2025)

Achieving Reliable and Fair Skin Lesion Diagnosis via Unsupervised Domain Adaptation
by: Wang, Janet, et al.
Published: (2023)

CRAFT: Continuous Reasoning and Agentic Feedback Tuning for Multimodal Text-to-Image Generation
by: Kovalev, V., et al.
Published: (2025)

Seeing Clearly, Reasoning Confidently: Plug-and-Play Remedies for Vision Language Model Blindness
by: Hu, Xin, et al.
Published: (2026)

Latent Drifting in Diffusion Models for Counterfactual Medical Image Synthesis
by: Yeganeh, Yousef, et al.
Published: (2024)

Few-Shot Adaptation Benchmark for Remote Sensing Vision-Language Models
by: Khoury, Karim El, et al.
Published: (2025)

A Dense Reward View on Aligning Text-to-Image Diffusion with Preference
by: Yang, Shentao, et al.
Published: (2024)

From Adaptation to Generalization: Adaptive Visual Prompting for Medical Image Segmentation
by: Çetinkaya, Evren, et al.
Published: (2026)

Visual Autoregressive Modelling for Monocular Depth Estimation
by: El-Ghoussani, Amir, et al.
Published: (2025)

Mind the Gap Between Prototypes and Images in Cross-domain Finetuning
by: Tian, Hongduan, et al.
Published: (2024)

Self-Supervised Learning for Pre-training Capsule Networks: Overcoming Medical Imaging Dataset Challenges
by: El-Shimy, Heba, et al.
Published: (2025)

Temporal Differential Fields for 4D Motion Modeling via Image-to-Video Synthesis
by: You, Xin, et al.
Published: (2025)

Enhancing Skin Disease Diagnosis: Interpretable Visual Concept Discovery with SAM
by: Hu, Xin, et al.
Published: (2024)

RewardSDS: Aligning Score Distillation via Reward-Weighted Sampling
by: Chachy, Itay, et al.
Published: (2025)

Optimizing 3D Diffusion Models for Medical Imaging via Multi-Scale Reward Learning
by: Tian, Yueying, et al.
Published: (2026)

Towards Application Aligned Synthetic Surgical Image Synthesis
by: Venkatesh, Danush Kumar, et al.
Published: (2025)

CRAFT: Designing Creative and Functional 3D Objects
by: Guo, Michelle, et al.
Published: (2024)

CRAFT: A Neuro-Symbolic Framework for Visual Functional Affordance Grounding
by: Chen, Zhou, et al.
Published: (2025)

Aligning Medical Images with General Knowledge from Large Language Models
by: Fang, Xiao, et al.
Published: (2024)

Aligned Novel View Image and Geometry Synthesis via Cross-modal Attention Instillation
by: Kwak, Min-Seop, et al.
Published: (2025)

Visual Variational Autoencoder Prompt Tuning
by: Xiao, Xi, et al.
Published: (2025)

Model Checking in Medical Imaging for Tumor Detection and Segmentation
by: Elfatimi, Elhoucine, et al.
Published: (2025)

SMFusion: Semantic-Preserving Fusion of Multimodal Medical Images for Enhanced Clinical Diagnosis
by: Xiang, Haozhe, et al.
Published: (2025)

RefReward-SR: LR-Conditioned Reward Modeling for Preference-Aligned Super-Resolution
by: Song, Yushuai, et al.
Published: (2026)

Systematic Evaluation of Preprocessing Techniques for Accurate Image Registration in Digital Pathology
by: Darzi, Fatemehzahra, et al.
Published: (2025)

EditReward: A Human-Aligned Reward Model for Instruction-Guided Image Editing
by: Wu, Keming, et al.
Published: (2025)

Pathology-Aware Adaptive Watermarking for Text-Driven Medical Image Synthesis
by: Kim, Chanyoung, et al.
Published: (2025)

Wasserstein-Aligned Localisation for VLM-Based Distributional OOD Detection in Medical Imaging
by: Kainz, Bernhard, et al.
Published: (2026)