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Destroy Me: Automatic Artifact Generation for Histopathology Images

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1 SIGNALFIRST DETECTED 1 September 2026
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8 May
MedFabric and EtHER: A Data-Centric Framework for Word-Level Fabrication Generation and Detection in Medical LLMs

arXiv:2605.04180v1 Announce Type: cross Abstract: Large Language Models exhibit strong reasoning and semantic understanding capabilities but often hallucinate in domains that

REPORT · WHAT · ArXiv CS.AIOPEN STORY
20 Mar
CytoSyn: a Foundation Diffusion Model for Histopathology -- Tech Report

arXiv:2603.18089v1 Announce Type: cross Abstract: Computational pathology has made significant progress in recent years, fueling advances in both fundamental disease understanding

REPORT · WHAT · ArXiv CS.AIOPEN STORY
25 Mar
Efficient Embedding-based Synthetic Data Generation for Complex Reasoning Tasks

arXiv:2603.22294v1 Announce Type: cross Abstract: Synthetic Data Generation (SDG), leveraging Large Language Models (LLMs), has recently been recognized and broadly adopted as an

REPORT · WHAT · ArXiv CS.AIOPEN STORY
30 Apr
DepthPilot: From Controllability to Interpretability in Colonoscopy Video Generation

arXiv:2604.26232v1 Announce Type: cross Abstract: Controllable medical video generation has achieved remarkable progress, but it still lacks interpretability, which requires the

REPORT · WHAT · ArXiv CS.AIOPEN STORY
22 Apr
Industrial Surface Defect Detection via Diffusion Generation and Asymmetric Student-Teacher Network

arXiv:2604.19240v1 Announce Type: new Abstract: Industrial surface defect detection often suffers from limited defect samples, severe long-tailed distributions, and difficulties

REPORT · HOW · ArXiv CS.AIOPEN STORY
27 Apr
An Artifact-based Agent Framework for Adaptive and Reproducible Medical Image Processing

arXiv:2604.21936v1 Announce Type: new Abstract: Medical imaging research is increasingly shifting from controlled benchmark evaluation toward real-world clinical deployment. In

REPORT · WHAT · ArXiv CS.AIOPEN STORY
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