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20212026
most citedMONAI: An open-source framework for deep learning in healthcare

452 citations · 504 across the 25 of their papers we have counts for

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Showing 2025Show all

6 papers · 1 filter

cs.RO2025★ 1 cited

Cosmos-H-Surgical: Learning Surgical Robot Policies from Videos via World Modeling

Yufan He, Pengfei Guo, Mengya Xu +11

Data scarcity remains a fundamental barrier to achieving fully autonomous surgical robots. While large scale vision language action (VLA) models have shown impressive generalizatio…

cs.CV2025

Reasoning Visual Language Model for Chest X-Ray Analysis

Andriy Myronenko, Dong Yang, Baris Turkbey +10

Vision-language models (VLMs) have shown strong promise for medical image analysis, but most remain opaque, offering predictions without the transparent, stepwise reasoning clinici…

cs.CV2025

Auto3DSeg for Brain Tumor Segmentation from 3D MRI in BraTS 2023 Challenge

Andriy Myronenko, Dong Yang, Yufan He +1

In this work, we describe our solution to the BraTS 2023 cluster of challenges using Auto3DSeg from MONAI. We participated in all 5 segmentation challenges, and achieved the 1st pl…

cs.CV2025

Towards the Automatic Segmentation, Modeling and Meshing of the Aortic Vessel Tree from Multicenter Acquisitions: An Overview of the SEG.A. 2023 Segmentation of the Aorta Challenge

Yuan Jin, Antonio Pepe, Gian Marco Melito +36

The automated analysis of the aortic vessel tree (AVT) from computed tomography angiography (CTA) holds immense clinical potential, but its development has been impeded by a lack o…

cs.CV2025★ 1 cited

MAISI-v2: Accelerated 3D High-Resolution Medical Image Synthesis with Rectified Flow and Region-specific Contrastive Loss

Can Zhao, Pengfei Guo, Dong Yang +7

Medical image synthesis is an important topic for both clinical and research applications. Recently, diffusion models have become a leading approach in this area. Despite their str…

eess.IV2025

Text2CT: Towards 3D CT Volume Generation from Free-text Descriptions Using Diffusion Model

Pengfei Guo, Can Zhao, Dong Yang +9

Generating 3D CT volumes from descriptive free-text inputs presents a transformative opportunity in diagnostics and research. In this paper, we introduce Text2CT, a novel approach…