Andriy Myronenko

Orcid: 0000-0001-8713-7031

According to our database1, Andriy Myronenko authored at least 53 papers between 2006 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Fetal brain tissue annotation and segmentation challenge results.
Medical Image Anal., August, 2023

Do Gradient Inversion Attacks Make Federated Learning Unsafe?
IEEE Trans. Medical Imaging, 2023

NVIDIA FLARE: Federated Learning from Simulation to Real-World.
IEEE Data Eng. Bull., 2023

The state-of-the-art 3D anisotropic intracranial hemorrhage segmentation on non-contrast head CT: The INSTANCE challenge.
CoRR, 2023

DAST: Differentiable Architecture Search with Transformer for 3D Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Automated 3D Segmentation of Kidneys and Tumors in MICCAI KiTS 2023 Challenge.
Proceedings of the Kidney and Kidney Tumor Segmentation - MICCAI 2023 Challenge, 2023

Aorta Segmentation from 3D CT in MICCAI SEG.A. 2023 Challenge.
Proceedings of the Segmentation of the Aorta. Towards the Automatic Segmentation, Modeling, and Meshing of the Aortic Vessel Tree from Multicenter Acquisition, 2023

SwinUNETR-V2: Stronger Swin Transformers with Stagewise Convolutions for 3D Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2022
MONAI: An open-source framework for deep learning in healthcare.
CoRR, 2022

Automated head and neck tumor segmentation from 3D PET/CT.
CoRR, 2022

Automated segmentation of intracranial hemorrhages from 3D CT.
CoRR, 2022

Automated ischemic stroke lesion segmentation from 3D MRI.
CoRR, 2022

Fetal Brain Tissue Annotation and Segmentation Challenge Results.
CoRR, 2022

UNETR: Transformers for 3D Medical Image Segmentation.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Clinical-Realistic Annotation for Histopathology Images with Probabilistic Semi-supervision: A Worst-Case Study.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Automated 3D Segmentation of Renal Structures for Renal Cancer Treatment.
Proceedings of the Lesion Segmentation in Surgical and Diagnostic Applications, 2022

Split-U-Net: Preventing Data Leakage in Split Learning for Collaborative Multi-modal Brain Tumor Segmentation.
Proceedings of the Distributed, Collaborative, and Federated Learning, and Affordable AI and Healthcare for Resource Diverse Global Health, 2022

Automated Head and Neck Tumor Segmentation from 3D PET/CT HECKTOR 2022 Challenge Report.
Proceedings of the Head and Neck Tumor Segmentation and Outcome Prediction, 2022

Efficient Population Based Hyperparameter Scheduling for Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

HyperSegNAS: Bridging One-Shot Neural Architecture Search with 3D Medical Image Segmentation using HyperNet.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Federated semi-supervised learning for COVID region segmentation in chest CT using multi-national data from China, Italy, Japan.
Medical Image Anal., 2021

QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Metrics and Benchmarking Results.
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CoRR, 2021

Auto-FedAvg: Learnable Federated Averaging for Multi-Institutional Medical Image Segmentation.
CoRR, 2021

Federated Whole Prostate Segmentation in MRI with Personalized Neural Architectures.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

The Power of Proxy Data and Proxy Networks for Hyper-parameter Optimization in Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Accounting for Dependencies in Deep Learning Based Multiple Instance Learning for Whole Slide Imaging.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

T-AutoML: Automated Machine Learning for Lesion Segmentation using Transformers in 3D Medical Imaging.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Redundancy Reduction in Semantic Segmentation of 3D Brain Tumor MRIs.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2021

2020
Generalizing Deep Learning for Medical Image Segmentation to Unseen Domains via Deep Stacked Transformation.
IEEE Trans. Medical Imaging, 2020

Enhancing Foreground Boundaries for Medical Image Segmentation.
CoRR, 2020

Edge-Gated CNNs for Volumetric Semantic Segmentation of Medical Images.
CoRR, 2020

NeurReg: Neural Registration and Its Application to Image Segmentation.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

2019
3D Kidneys and Kidney Tumor Semantic Segmentation using Boundary-Aware Networks.
CoRR, 2019

Boundary Aware Networks for Medical Image Segmentation.
CoRR, 2019

When Unseen Domain Generalization is Unnecessary? Rethinking Data Augmentation.
CoRR, 2019

4D CNN for Semantic Segmentation of Cardiac Volumetric Sequences.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Multi-Sequence CMR Segmentation, CRT-EPiggy and LV Full Quantification Challenges, 2019

End-to-End Boundary Aware Networks for Medical Image Segmentation.
Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019

Robust Semantic Segmentation of Brain Tumor Regions from 3D MRIs.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2019

2018
3D MRI Brain Tumor Segmentation Using Autoencoder Regularization.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2018

2010
Intensity-Based Image Registration by Minimizing Residual Complexity.
IEEE Trans. Medical Imaging, 2010

Point Set Registration: Coherent Point Drift.
IEEE Trans. Pattern Anal. Mach. Intell., 2010

Interpreting ultrasound elastography: image registration of breast cancer ultrasound elastography to histopathology images.
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010

2009
Adaptive Regularization of Ill-Posed Problems: Application to Non-rigid Image Registration
CoRR, 2009

On the closed-form solution of the rotation matrix arising in computer vision problems
CoRR, 2009

Maximum Likelihood Motion Estimation in 3D Echocardiography through Non-rigid Registration in Spherical Coordinates.
Proceedings of the Functional Imaging and Modeling of the Heart, 2009

Image registration by minimization of Mapping Complexity.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2009

Global active contour-based image segmentation via probability alignment.
Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

Image registration by minimization of residual complexity.
Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

2007
LV Motion Tracking from 3D Echocardiography Using Textural and Structural Information.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2007, 10th International Conference, Brisbane, Australia, October 29, 2007

Speckle Tracking in 3D Echocardiography with Motion Coherence.
Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007

Free-Form Nonrigid Image Registration Using Generalized Elastic Nets.
Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007

2006
Non-rigid point set registration: Coherent Point Drift.
Proceedings of the Advances in Neural Information Processing Systems 19, 2006

Registration of Microscopic Iris Image Sequences Using Probabilistic Mesh.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2006


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