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20242026
most citedEvaluation of OpenAI o1: Opportunities and Challenges of AGI

22 citations · 33 across the 14 of their papers we have counts for

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7 papers · 1 filter

cs.CV2026

Towards Autonomous and Auditable Medical Imaging Model Development

Shengyuan Liu, Jia-Xuan Jiang, Boyun Zheng +8

Large language model (LLM) agents are beginning to automate machine learning engineering (MLE) by coupling planning, code execution, debugging, and empirical feedback. Translating…

cs.CV2026

NeuroClaw Technical Report

Cheng Wang, Zhibin He, Zhihao Peng +7

Agentic artificial intelligence systems promise to accelerate scientific workflows, but neuroimaging poses unique challenges: heterogeneous modalities (sMRI, fMRI, dMRI, EEG), long…

cs.CV2025

SAMed-2: Selective Memory Enhanced Medical Segment Anything Model

Zhiling Yan, Sifan Song, Dingjie Song +11

Recent "segment anything" efforts show promise by learning from large-scale data, but adapting such models directly to medical images remains challenging due to the complexity of m…

cs.CV2025★ 1 cited

RadFabric: Agentic AI System with Reasoning Capability for Radiology

Wenting Chen, Yi Dong, Zhaojun Ding +14

Chest X ray (CXR) imaging remains a critical diagnostic tool for thoracic conditions, but current automated systems face limitations in pathology coverage, diagnostic accuracy, and…

cs.CV2024★ 4 cited

Biomedical SAM 2: Segment Anything in Biomedical Images and Videos

Zhiling Yan, Weixiang Sun, Rong Zhou +8

Medical image segmentation and video object segmentation are essential for diagnosing and analyzing diseases by identifying and measuring biological structures. Recent advances in…

cs.CV2024★ 3 cited

Bora: Biomedical Generalist Video Generation Model

Weixiang Sun, Xiaocao You, Ruizhe Zheng +5

Generative models hold promise for revolutionizing medical education, robot-assisted surgery, and data augmentation for medical AI development. Diffusion models can now generate re…

cs.CV2024

Medical Image Synthesis via Fine-Grained Image-Text Alignment and Anatomy-Pathology Prompting

Wenting Chen, Pengyu Wang, Hui Ren +4

Data scarcity and privacy concerns limit the availability of high-quality medical images for public use, which can be mitigated through medical image synthesis. However, current me…