Publications

Full publication list on Google Scholar (143+ papers) and OpenReview.

2026

Cosmos 3: Omnimodal World Models for Physical AI
N. Agarwal, A. Ali, J. Allen, M. Antolini, A. Aubame, A. Azzolini, J. Bai, …, D. Yang, et al.
arXiv 2026 | Paper
AutoMedBench: Towards Medical AutoResearch with Agentic AI Models
J. Liu, S. Song, Y. Wang, J. Mao, H. Chen, X. Huang, T. Qi, P. Guo, Y. Tang, Y. He, C. Zhao, A. Myronenko, D. Yang, D. Xu, Y. Zhou
arXiv 2026 | Paper
MAISI-v2: Accelerated 3D High-Resolution Medical Image Synthesis with Rectified Flow and Region-specific Contrastive Loss
C. Zhao, P. Guo, D. Yang, Y. Tang, Y. He, B. Simon, M. Belue, S. Harmon, B. Turkbey, D. Xu
AAAI 2026
OmniVinci: Enhancing Architecture and Data for Omni-Modal Understanding LLM
H. Ye, C.-H.H. Yang, A. Goel, W. Huang, Z. Wan, …, D. Yang, et al.
ICLR 2026 (Poster)

Better Tokens for Better 3D: Advancing Vision-Language Modeling in 3D Medical Imaging
I.E. Hamamci, S. Er, S. Shit, H. Reynaud, D. Yang, P. Guo, M. Edgar, D. Xu, B. Kainz, B. Menze
NeurIPS 2025 (Poster)

FedBPT: Efficient Federated Black-box Prompt Tuning for Large Language Models
J. Sun, Z. Xu, H. Yin, D. Yang, D. Xu, Y. Liu, Z. Du, Y. Chen, H.R. Roth
ICML 2024 (Poster)
Disruptive Autoencoders: Leveraging Low-level Features for 3D Medical Image Pre-training
J.M.J. Valanarasu, Y. Tang, D. Yang, Z. Xu, C. Zhao, W. Li, V.M. Patel, B.A. Landman, D. Xu, Y. He, V. Nath
MIDL 2024 (Oral)
MAISI: Medical AI for Synthetic Imaging
P. Guo, C. Zhao, D. Yang, Z. Xu, V. Nath, Y. Tang, B. Simon, M. Belue, S.A. Harmon, B. Turkbey, D. Xu
arXiv 2024
VISTA3D: Versatile Imaging SegmenTation and Annotation Model for 3D Computed Tomography
Y. He, P. Guo, Y. Tang, A. Myronenko, V. Nath, Z. Xu, D. Yang, C. Zhao, B. Simon, M. Belue, S.A. Harmon, B. Turkbey, D. Xu, W. Li
arXiv 2024

SwinUNETR-V2: Stronger Swin Transformers with Stagewise Convolutions for 3D Medical Image Segmentation
Y. He, V. Nath, D. Yang, Y. Tang, A. Myronenko, D. Xu
MICCAI 2023

UNETR: Transformers for 3D Medical Image Segmentation
A. Hatamizadeh, Y. Tang, V. Nath, D. Yang, A. Myronenko, B. Landman, H.R. Roth, D. Xu
WACV 2022
MONAI: An Open-Source Framework for Deep Learning in Healthcare
M.J. Cardoso, W. Li, R. Brown, N. Ma, E. Kerfoot, Y. Wang, B. Murrey, …, D. Yang, et al.
arXiv 2022
Self-supervised Pre-training of Swin Transformers for 3D Medical Image Analysis
Y. Tang, D. Yang, W. Li, H.R. Roth, B. Landman, D. Xu, V. Nath, A. Hatamizadeh
CVPR 2022
NVIDIA FLARE: Federated Learning from Simulation to Real-World
H.R. Roth, Y. Cheng, Y. Wen, I. Yang, Z. Xu, Y.-T. Hsieh, K. Kersten, A. Harouni, …, D. Yang, et al.
arXiv 2022

Swin UNETR: Swin Transformers for Semantic Segmentation of Brain Tumors in MRI Images
A. Hatamizadeh, V. Nath, Y. Tang, D. Yang, H.R. Roth, D. Xu
MICCAI BrainLes Workshop 2021
DiNTS: Differentiable Neural Network Topology Search for 3D Medical Image Segmentation
Y. He, D. Yang, H. Roth, C. Zhao, D. Xu
CVPR 2021
VerSe: A Vertebrae Labelling and Segmentation Benchmark for Multi-detector CT Images
A. Sekuboyina, M.E. Husseini, A. Bayat, …, D. Yang, et al.
Medical Image Analysis, 2021
Federated Semi-supervised Learning for COVID Region Segmentation in Chest CT Using Multi-national Data from China, Italy, Japan
D. Yang, Z. Xu, W. Li, A. Myronenko, H.R. Roth, S. Harmon, S. Xu, B. Turkbey, et al.
Medical Image Analysis, 2021

Artificial Intelligence for the Detection of COVID-19 Pneumonia on Chest CT Using Multinational Datasets
S.A. Harmon, T.H. Sanford, S. Xu, E.B. Turkbey, H. Roth, Z. Xu, D. Yang, et al.
Nature Communications, 2020
C2FNAS: Coarse-to-Fine Neural Architecture Search for 3D Medical Image Segmentation
Q. Yu, D. Yang, H. Roth, Y. Bai, Y. Zhang, A.L. Yuille, D. Xu
CVPR 2020
Generalizing Deep Learning for Medical Image Segmentation to Unseen Domains via Deep Stacked Transformation
L. Zhang, X. Wang, D. Yang, T. Sanford, S. Harmon, B. Turkbey, B.J. Wood, et al.
IEEE Transactions on Medical Imaging, 2020
Uncertainty-aware Multi-view Co-training for Semi-supervised Medical Image Segmentation and Domain Adaptation
Y. Xia, D. Yang, Z. Yu, F. Liu, J. Cai, L. Yu, Z. Zhu, D. Xu, A. Yuille, H. Roth
Medical Image Analysis, 2020
3D Semi-supervised Learning with Uncertainty-aware Multi-view Co-training
Y. Xia, F. Liu, D. Yang, J. Cai, L. Yu, Z. Zhu, D. Xu, A. Yuille, H. Roth
WACV 2020
Diminishing Uncertainty within the Training Pool: Active Learning for Medical Image Segmentation
V. Nath, D. Yang, B.A. Landman, D. Xu, H.R. Roth
IEEE Transactions on Medical Imaging, 2020

V-NAS: Neural Architecture Search for Volumetric Medical Image Segmentation
Z. Zhu, C. Liu, D. Yang, A. Yuille, D. Xu
3DV 2019
An Alarm System for Segmentation Algorithm Based on Shape Model
F. Liu, Y. Xia, D. Yang, A. Yuille, D. Xu
ICCV 2019
Handbook of Medical Image Computing and Computer Assisted Intervention
S.K. Zhou, D. Rueckert, G. Fichtinger
Academic Press, 2019

Automatic Liver Segmentation Using an Adversarial Image-to-Image Network
D. Yang, D. Xu, S.K. Zhou, B. Georgescu, M. Chen, S. Grbic, D. Metaxas, D. Comaniciu
MICCAI 2017
Automatic Vertebra Labeling in Large-Scale 3D CT Using Deep Image-to-Image Network with Message Passing and Sparsity Regularization
D. Yang, T. Xiong, D. Xu, Q. Huang, D. Liu, S.K. Zhou, Z. Xu, J.H. Park, M. Chen, et al.
IPMI 2017

Automated Anatomical Landmark Detection on Distal Femur Surface Using Convolutional Neural Network
D. Yang, S. Zhang, Z. Yan, C. Tan, K. Li, D. Metaxas
ISBI 2015