Registration of Microscopic Iris Image Sequences Using Probabilistic Mesh. - Xubo B. Song; Andriy Myronenko; Stephen R. Plank; James T. Rosenbaum (MICCAI (2), 2006)

Non-rigid point set registration: Coherent Point Drift. - Andriy Myronenko; Xubo B. Song; Miguel Á. Carreira-Perpiñán (NIPS, 2006)

Free-Form Nonrigid Image Registration Using Generalized Elastic Nets. - Andriy Myronenko; Xubo B. Song; Miguel Á. Carreira-Perpiñán (CVPR, 2007)

Speckle Tracking in 3D Echocardiography with Motion Coherence. - Xubo B. Song; Andriy Myronenko; David J. Sahn (CVPR, 2007)

LV Motion Tracking from 3D Echocardiography Using Textural and Structural Information. - Andriy Myronenko; Xubo B. Song; David J. Sahn (MICCAI (2), 2007)

Image registration by minimization of residual complexity. - Andriy Myronenko; Xubo B. Song (CVPR, 2009)

Global active contour-based image segmentation via probability alignment. - Andriy Myronenko; Xubo B. Song (CVPR, 2009)

Image registration by minimization of Mapping Complexity. - Andriy Myronenko; Xubo B. Song (CVPR Workshops, 2009)

Maximum Likelihood Motion Estimation in 3D Echocardiography through Non-rigid Registration in Spherical Coordinates. - Andriy Myronenko; Xubo B. Song; David J. Sahn (FIMH, 2009)

On the closed-form solution of the rotation matrix arising in computer vision problems - Andriy Myronenko; Xubo B. Song (CoRR, 2009)

Adaptive Regularization of Ill-Posed Problems: Application to Non-rigid Image Registration - Andriy Myronenko; Xubo B. Song (CoRR, 2009)

Interpreting ultrasound elastography: image registration of breast cancer ultrasound elastography to histopathology images. - Brian Chuang; Andriy Myronenko; Ruth E. English; J. Alison Noble (ISBI, 2010)

Point Set Registration: Coherent Point Drift. - Andriy Myronenko; Xubo B. Song (IEEE Trans. Pattern Anal. Mach. Intell., 2010)

Intensity-Based Image Registration by Minimizing Residual Complexity. - Andriy Myronenko; Xubo B. Song (IEEE Trans. Medical Imaging, 2010)

3D MRI Brain Tumor Segmentation Using Autoencoder Regularization. - Andriy Myronenko (BrainLes@MICCAI (2), 2018)

Robust Semantic Segmentation of Brain Tumor Regions from 3D MRIs. - Andriy Myronenko; Ali Hatamizadeh (BrainLes@MICCAI (2), 2019)

End-to-End Boundary Aware Networks for Medical Image Segmentation. - Ali Hatamizadeh; Demetri Terzopoulos; Andriy Myronenko (MLMI@MICCAI, 2019)

4D CNN for Semantic Segmentation of Cardiac Volumetric Sequences. - Andriy Myronenko; Dong Yang 005; Varun Buch; Daguang Xu; Alvin Ihsani; Sean Doyle; Mark Michalski; Neil A. Tenenholtz; Holger Roth (STACOM@MICCAI, 2019)

When Unseen Domain Generalization is Unnecessary? Rethinking Data Augmentation. - Ling Zhang 002; Xiaosong Wang 001; Dong Yang 005; Thomas Sanford; Stephanie A. Harmon; Baris Turkbey; Holger Roth; Andriy Myronenko; Daguang Xu; Ziyue Xu 001 (CoRR, 2019)

Boundary Aware Networks for Medical Image Segmentation. - Ali Hatamizadeh; Demetri Terzopoulos; Andriy Myronenko (CoRR, 2019)

3D Kidneys and Kidney Tumor Semantic Segmentation using Boundary-Aware Networks. - Andriy Myronenko; Ali Hatamizadeh (CoRR, 2019)

NeurReg: Neural Registration and Its Application to Image Segmentation. - Wentao Zhu 001; Andriy Myronenko; Ziyue Xu 001; Wenqi Li 001; Holger Roth; Yufang Huang; Fausto Milletari; Daguang Xu (WACV, 2020)

Edge-Gated CNNs for Volumetric Semantic Segmentation of Medical Images. - Ali Hatamizadeh; Demetri Terzopoulos; Andriy Myronenko (CoRR, 2020)

Enhancing Foreground Boundaries for Medical Image Segmentation. - Dong Yang 005; Holger Roth; Xiaosong Wang 001; Ziyue Xu 001; Andriy Myronenko; Daguang Xu (CoRR, 2020)

Generalizing Deep Learning for Medical Image Segmentation to Unseen Domains via Deep Stacked Transformation. - Ling Zhang 002; Xiaosong Wang 001; Dong Yang 005; Thomas Sanford; Stephanie A. Harmon; Baris Turkbey; Bradford J. Wood; Holger Roth; Andriy Myronenko; Daguang Xu; Ziyue Xu 001 (IEEE Trans. Medical Imaging, 2020)

Redundancy Reduction in Semantic Segmentation of 3D Brain Tumor MRIs. - Md Mahfuzur Rahman Siddiquee; Andriy Myronenko (BrainLes@MICCAI (2), 2021)

T-AutoML: Automated Machine Learning for Lesion Segmentation using Transformers in 3D Medical Imaging. - Dong Yang 005; Andriy Myronenko; Xiaosong Wang 001; Ziyue Xu 001; Holger R. Roth; Daguang Xu (ICCV, 2021)

Accounting for Dependencies in Deep Learning Based Multiple Instance Learning for Whole Slide Imaging. - Andriy Myronenko; Ziyue Xu 001; Dong Yang 005; Holger R. Roth; Daguang Xu (MICCAI (8), 2021)

The Power of Proxy Data and Proxy Networks for Hyper-parameter Optimization in Medical Image Segmentation. - Vishwesh Nath; Dong Yang 005; Ali Hatamizadeh; Anas A. Abidin; Andriy Myronenko; Holger R. Roth; Daguang Xu (MICCAI (3), 2021)

Federated Whole Prostate Segmentation in MRI with Personalized Neural Architectures. - Holger R. Roth; Dong Yang 005; Wenqi Li 001; Andriy Myronenko; Wentao Zhu 001; Ziyue Xu 001; Xiaosong Wang 001; Daguang Xu (MICCAI (3), 2021)

Auto-FedAvg: Learnable Federated Averaging for Multi-Institutional Medical Image Segmentation. - Yingda Xia; Dong Yang 005; Wenqi Li 001; Andriy Myronenko; Daguang Xu; Hirofumi Obinata; Hitoshi Mori; Peng An; Stephanie A. Harmon; Evrim Turkbey; Baris Turkbey; Bradford J. Wood; et al. (CoRR, 2021)

QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Metrics and Benchmarking Results. - Raghav Mehta; Angelos Filos; Ujjwal Baid; Chiharu Sako; Richard McKinley; Michael Rebsamen; Katrin Dätwyler; Raphael Meier; Piotr Radojewski; Gowtham Krishnan Murugesan; Sahil S. Nalawade; Chandan Ganesh; et al. (CoRR, 2021)

Federated semi-supervised learning for COVID region segmentation in chest CT using multi-national data from China, Italy, Japan. - Dong Yang 005; Ziyue Xu 001; Wenqi Li 001; Andriy Myronenko; Holger R. Roth; Stephanie A. Harmon; Sheng Xu 001; Baris Turkbey; Evrim Turkbey; Xiaosong Wang 001; Wentao Zhu 001; Gianpaolo Carrafiello; et al. (Medical Image Anal., 2021)

HyperSegNAS: Bridging One-Shot Neural Architecture Search with 3D Medical Image Segmentation using HyperNet. - Cheng Peng 008; Andriy Myronenko; Ali Hatamizadeh; Vishwesh Nath; Md Mahfuzur Rahman Siddiquee; Yufan He; Daguang Xu; Rama Chellappa; Dong Yang 005 (CVPR, 2022)

Efficient Population Based Hyperparameter Scheduling for Medical Image Segmentation. - Yufan He; Dong Yang 005; Andriy Myronenko; Daguang Xu (MICCAI (5), 2022)

Automated Head and Neck Tumor Segmentation from 3D PET/CT HECKTOR 2022 Challenge Report. - Andriy Myronenko; Md Mahfuzur Rahman Siddiquee; Dong Yang 005; Yufan He; Daguang Xu (HECKTOR@MICCAI, 2022)

Split-U-Net: Preventing Data Leakage in Split Learning for Collaborative Multi-modal Brain Tumor Segmentation. - Holger R. Roth; Ali Hatamizadeh; Ziyue Xu 001; Can Zhao 001; Wenqi Li 001; Andriy Myronenko; Daguang Xu (DeCaF/FAIR@MICCAI, 2022)

Automated 3D Segmentation of Renal Structures for Renal Cancer Treatment. - Md Mahfuzur Rahman Siddiquee; Dong Yang 005; Yufan He; Daguang Xu; Andriy Myronenko (CuRIOUS/KiPA/MELA@MICCAI, 2022)

Clinical-Realistic Annotation for Histopathology Images with Probabilistic Semi-supervision: A Worst-Case Study. - Ziyue Xu 001; Andriy Myronenko; Dong Yang 005; Holger R. Roth; Can Zhao 001; Xiaosong Wang 001; Daguang Xu (MICCAI (2), 2022)

UNETR: Transformers for 3D Medical Image Segmentation. - Ali Hatamizadeh; Yucheng Tang; Vishwesh Nath; Dong Yang 005; Andriy Myronenko; Bennett A. Landman; Holger R. Roth; Daguang Xu (WACV, 2022)

Fetal Brain Tissue Annotation and Segmentation Challenge Results. - Kelly Payette; Hongwei Li 004; Priscille de Dumast; Roxane Licandro; Hui Ji; Md Mahfuzur Rahman Siddiquee; Daguang Xu; Andriy Myronenko; Hao Liu; Yuchen Pei; Lisheng Wang; Ying Peng; et al. (CoRR, 2022)

Automated ischemic stroke lesion segmentation from 3D MRI. - Md Mahfuzur Rahman Siddiquee; Dong Yang 005; Yufan He; Daguang Xu; Andriy Myronenko (CoRR, 2022)

Automated segmentation of intracranial hemorrhages from 3D CT. - Md Mahfuzur Rahman Siddiquee; Dong Yang 005; Yufan He; Daguang Xu; Andriy Myronenko (CoRR, 2022)

Automated head and neck tumor segmentation from 3D PET/CT. - Andriy Myronenko; Md Mahfuzur Rahman Siddiquee; Dong Yang 005; Yufan He; Daguang Xu (CoRR, 2022)

MONAI: An open-source framework for deep learning in healthcare. - M. Jorge Cardoso; Wenqi Li 001; Richard Brown 004; Nic Ma; Eric Kerfoot; Yiheng Wang; Benjamin Murray; Andriy Myronenko; Can Zhao 001; Dong Yang 005; Vishwesh Nath; Yufan He; et al. (CoRR, 2022)

SwinUNETR-V2: Stronger Swin Transformers with Stagewise Convolutions for 3D Medical Image Segmentation. - Yufan He; Vishwesh Nath; Dong Yang 005; Yucheng Tang; Andriy Myronenko; Daguang Xu (MICCAI (4), 2023)

Aorta Segmentation from 3D CT in MICCAI SEG.A. 2023 Challenge. - Andriy Myronenko; Dong Yang 005; Yufan He; Daguang Xu (SEG.A@MICCAI, 2023)

Automated 3D Segmentation of Kidneys and Tumors in MICCAI KiTS 2023 Challenge. - Andriy Myronenko; Dong Yang 005; Yufan He; Daguang Xu (KiTS@MICCAI, 2023)

DAST: Differentiable Architecture Search with Transformer for 3D Medical Image Segmentation. - Dong Yang 005; Ziyue Xu 001; Yufan He; Vishwesh Nath; Wenqi Li 001; Andriy Myronenko; Ali Hatamizadeh; Can Zhao 001; Holger R. Roth; Daguang Xu (MICCAI (3), 2023)

The state-of-the-art 3D anisotropic intracranial hemorrhage segmentation on non-contrast head CT: The INSTANCE challenge. - Xiangyu Li 004; Gongning Luo; Kuanquan Wang; Hongyu Wang; Jun Liu 080; Xinjie Liang; Jie Jiang; Zhenghao Song; Chunyue Zheng; Haokai Chi; Mingwang Xu; Yingte He; et al. (CoRR, 2023)

NVIDIA FLARE: Federated Learning from Simulation to Real-World. - Holger R. Roth; Yan Cheng; Yuhong Wen; Isaac Yang; Ziyue Xu 001; Yuan-Ting Hsieh; Kristopher Kersten; Ahmed Harouni; Can Zhao 001; Kevin Lu; Zhihong Zhang 001; Wenqi Li 001; et al. (IEEE Data Eng. Bull., 2023)

Do Gradient Inversion Attacks Make Federated Learning Unsafe? - Ali Hatamizadeh; Hongxu Yin; Pavlo Molchanov 001; Andriy Myronenko; Wenqi Li 001; Prerna Dogra; Andrew Feng; Mona G. Flores; Jan Kautz; Daguang Xu; Holger R. Roth (IEEE Trans. Medical Imaging, 2023)

Fetal brain tissue annotation and segmentation challenge results. - Kelly Payette; Hongwei Bran Li; Priscille de Dumast; Roxane Licandro; Hui Ji; Md Mahfuzur Rahman Siddiquee; Daguang Xu; Andriy Myronenko; Hao Liu; Yuchen Pei; Lisheng Wang; Ying Peng; et al. (Medical Image Anal., 2023)

A Robust Ensemble Algorithm for Ischemic Stroke Lesion Segmentation: Generalizability and Clinical Utility Beyond the ISLES Challenge. - Ezequiel de la Rosa; Mauricio Reyes 001; Sook-Lei Liew; Alexandre Hutton; Roland Wiest; Johannes Kaesmacher; Uta Hanning; Arsany Hakim; Richard Zubal; Waldo Valenzuela; David Robben; Diana Maria Sima; et al. (CoRR, 2024)

VISTA3D: Versatile Imaging SegmenTation and Annotation model for 3D Computed Tomography. - Yufan He; Pengfei Guo; Yucheng Tang; Andriy Myronenko; Vishwesh Nath; Ziyue Xu 001; Dong Yang 005; Can Zhao 001; Benjamin Simon; Mason Belue; Stephanie A. Harmon; Baris Turkbey; et al. (CoRR, 2024)

A Short Review and Evaluation of SAM2's Performance in 3D CT Image Segmentation. - Yufan He; Pengfei Guo; Yucheng Tang; Andriy Myronenko; Vishwesh Nath; Ziyue Xu 001; Dong Yang 005; Can Zhao 001; Daguang Xu; Wenqi Li 001 (CoRR, 2024)

VILA-M3: Enhancing Vision-Language Models with Medical Expert Knowledge. - Vishwesh Nath; Wenqi Li 001; Dong Yang 005; Andriy Myronenko; Mingxin Zheng; Yao Lu 006; Zhijian Liu; Hongxu Yin; Yee Man Law; Yucheng Tang; Pengfei Guo; Can Zhao 001; et al. (CoRR, 2024)

VISTA3D: A Unified Segmentation Foundation Model For 3D Medical Imaging. - Yufan He; Pengfei Guo; Yucheng Tang; Andriy Myronenko; Vishwesh Nath; Ziyue Xu 001; Dong Yang 005; Can Zhao 001; Benjamin Simon; Mason Belue; Stephanie A. Harmon; Baris Turkbey; et al. (CVPR, 2025)

VILA-M3: Enhancing Vision-Language Models with Medical Expert Knowledge. - Vishwesh Nath; Wenqi Li 001; Dong Yang 005; Andriy Myronenko; Mingxin Zheng; Yao Lu 006; Zhijian Liu; Hongxu Yin; Yee Man Law; Yucheng Tang; Pengfei Guo; Can Zhao 001; et al. (CVPR, 2025)

Multi-Center Fetal Brain Tissue Annotation (FeTA) Challenge 2022 Results. - Kelly Payette; Céline Steger; Roxane Licandro; Priscille de Dumast; Hongwei Bran Li; Matthew J. Barkovich; Liu Li; Maik Dannecker; Chen Chen 042; Cheng Ouyang; Niccolò McConnell; Alina Dana Miron; et al. (IEEE Trans. Medical Imaging, 2025)