Andriy Myronenko | DeepAI

DeepAI AI Chat

Featured Co-authors

Dacheng Tao
495 publications
Wei Chen
332 publications
Chang Liu
231 publications
Alan Yuille
192 publications
Qian Wang
147 publications
Jan Kautz
134 publications
Rama Chellappa
129 publications
Yu Sun
127 publications
Yefeng Zheng
117 publications
Kurt Keutzer
112 publications
Kun Zhang
106 publications

∙ 11/04/2022

MONAI: An open-source framework for deep learning in healthcare

Artificial Intelligence (AI) is having a tremendous impact across most a...

6 M. Jorge Cardoso, et al. ∙

∙ 10/24/2022

NVIDIA FLARE: Federated Learning from Simulation to Real-World

Federated learning (FL) enables the building of robust and generalizable...

0 Holger R. Roth, et al. ∙

∙ 09/22/2022

Automated head and neck tumor segmentation from 3D PET/CT

Head and neck tumor segmentation challenge (HECKTOR) 2022 offers a platf...

0 Andriy Myronenko, et al. ∙

∙ 09/21/2022

Automated segmentation of intracranial hemorrhages from 3D CT

Intracranial hemorrhage segmentation challenge (INSTANCE 2022) offers a ...

0 Md Mahfuzur Rahman Siddiquee, et al. ∙

∙ 09/20/2022

Automated ischemic stroke lesion segmentation from 3D MRI

Ischemic Stroke Lesion Segmentation challenge (ISLES 2022) offers a plat...

0 Md Mahfuzur Rahman Siddique, et al. ∙

∙ 08/22/2022

Split-U-Net: Preventing Data Leakage in Split Learning for Collaborative Multi-Modal Brain Tumor Segmentation

Split learning (SL) has been proposed to train deep learning models in a...

0 Holger R. Roth, et al. ∙

∙ 02/14/2022

Do Gradient Inversion Attacks Make Federated Learning Unsafe?

Federated learning (FL) allows the collaborative training of AI models w...

0 Ali Hatamizadeh, et al. ∙

∙ 12/20/2021

HyperSegNAS: Bridging One-Shot Neural Architecture Search with 3D Medical Image Segmentation using HyperNet

Semantic segmentation of 3D medical images is a challenging task due to ...

0 Cheng Peng, et al. ∙

∙ 11/15/2021

T-AutoML: Automated Machine Learning for Lesion Segmentation using Transformers in 3D Medical Imaging

Lesion segmentation in medical imaging has been an important topic in cl...

0 Dong Yang, et al. ∙

∙ 11/01/2021

Redundancy Reduction in Semantic Segmentation of 3D Brain Tumor MRIs

Another year of the multimodal brain tumor segmentation challenge (BraTS...

0 Md Mahfuzur Rahman Siddiquee, et al. ∙

∙ 11/01/2021

Accounting for Dependencies in Deep Learning Based Multiple Instance Learning for Whole Slide Imaging

Multiple instance learning (MIL) is a key algorithm for classification o...

0 Andriy Myronenko, et al. ∙

∙ 07/16/2021

Federated Whole Prostate Segmentation in MRI with Personalized Neural Architectures

Building robust deep learning-based models requires diverse training dat...

21 Holger R. Roth, et al. ∙

∙ 07/12/2021

The Power of Proxy Data and Proxy Networks for Hyper-Parameter Optimization in Medical Image Segmentation

Deep learning models for medical image segmentation are primarily data-d...

0 Vishwesh Nath, et al. ∙

∙ 04/20/2021

Auto-FedAvg: Learnable Federated Averaging for Multi-Institutional Medical Image Segmentation

Federated learning (FL) enables collaborative model training while prese...

0 Yingda Xia, et al. ∙

∙ 11/23/2020

Federated Semi-Supervised Learning for COVID Region Segmentation in Chest CT using Multi-National Data from China, Italy, Japan

The recent outbreak of COVID-19 has led to urgent needs for reliable dia...

5 Dong Yang, et al. ∙

∙ 05/29/2020

Enhancing Foreground Boundaries for Medical Image Segmentation

Object segmentation plays an important role in the modern medical image ...

9 Dong Yang, et al. ∙

∙ 02/11/2020

Edge-Gated CNNs for Volumetric Semantic Segmentation of Medical Images

Textures and edges contribute different information to image recognition...

3 Ali Hatamizadeh, et al. ∙

∙ 01/06/2020

Robust Semantic Segmentation of Brain Tumor Regions from 3D MRIs

Multimodal brain tumor segmentation challenge (BraTS) brings together re...

15 Andriy Myronenko, et al. ∙

∙ 10/04/2019

NeurReg: Neural Registration and Its Application to Image Segmentation

Registration is a fundamental task in medical image analysis which can b...

20 Wentao Zhu, et al. ∙

∙ 09/14/2019

3D Kidneys and Kidney Tumor Semantic Segmentation using Boundary-Aware Networks

Automated segmentation of kidneys and kidney tumors is an important step...

33 Andriy Myronenko, et al. ∙

∙ 08/21/2019

Boundary Aware Networks for Medical Image Segmentation

Fully convolutional neural networks (CNNs) have proven to be effective a...

27 Ali Hatamizadeh, et al. ∙

∙ 06/17/2019

4D CNN for semantic segmentation of cardiac volumetric sequences

We propose a 4D convolutional neural network (CNN) for the segmentation ...

0 Andriy Myronenko, et al. ∙

∙ 06/07/2019

When Unseen Domain Generalization is Unnecessary? Rethinking Data Augmentation

Recent advances in deep learning for medical image segmentation demonstr...

0 Ling Zhang, et al. ∙

∙ 11/05/2018

Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge

Gliomas are the most common primary brain malignancies, with different d...

0 Spyridon Bakas, et al. ∙

∙ 10/27/2018

3D MRI brain tumor segmentation using autoencoder regularization

Automated segmentation of brain tumors from 3D magnetic resonance images...

0 Andriy Myronenko, et al. ∙

∙ 06/17/2009

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

We introduce an adaptive regularization approach. In contrast to convent...

0 Andriy Myronenko, et al. ∙

∙ 05/15/2009

Point-Set Registration: Coherent Point Drift

Point set registration is a key component in many computer vision tasks....

0 Andriy Myronenko, et al. ∙

∙ 04/09/2009

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

We show the closed-form solution to the maximization of trace(A'R), wher...

0 Andriy Myronenko, et al. ∙

Are you a researcher?
Expose your work
to one of the largest
A.I. communities in the world