Ilkay Oksuz | DeepAI

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∙ 03/25/2023

Explainable Image Quality Assessment for Medical Imaging

Medical image quality assessment is an important aspect of image acquisi...

0 Caner Ozer, et al. ∙

∙ 02/22/2023

Semi-Supervised Segmentation of Multi-vendor and Multi-center Cardiac MRI using Histogram Matching

Automatic segmentation of the heart cavity is an essential task for the ...

0 Mahyar Bolhassani, et al. ∙

∙ 09/20/2022

Detecting respiratory motion artefacts for cardiovascular MRIs to ensure high-quality segmentation

While machine learning approaches perform well on their training domain,...

0 Amin Ranem, et al. ∙

∙ 08/11/2022

Shifted Windows Transformers for Medical Image Quality Assessment

To maintain a standard in a medical imaging study, images should have ne...

0 Caner Ozer, et al. ∙

∙ 05/02/2022

A Deep Learning-based Integrated Framework for Quality-aware Undersampled Cine Cardiac MRI Reconstruction and Analysis

Cine cardiac magnetic resonance (CMR) imaging is considered the gold sta...

32 Inês P. Machado, et al. ∙

∙ 01/10/2022

MyoPS: A Benchmark of Myocardial Pathology Segmentation Combining Three-Sequence Cardiac Magnetic Resonance Images

Assessment of myocardial viability is essential in diagnosis and treatme...

8 Lei Li, et al. ∙

∙ 01/19/2021

A survey on shape-constraint deep learning for medical image segmentation

Since the advent of U-Net, fully convolutional deep neural networks and ...

0 Simon Bohlender, et al. ∙

∙ 12/02/2020

Channel Attention Networks for Robust MR Fingerprinting Matching

Magnetic Resonance Fingerprinting (MRF) enables simultaneous mapping of ...

12 Refik Soyak, et al. ∙

∙ 07/05/2020

Transfer Learning for Electricity Price Forecasting

Electricity price forecasting is an essential task for all the deregulat...

0 Salih Gunduz, et al. ∙

∙ 10/11/2019

Deep Learning Based Detection and Correction of Cardiac MR Motion Artefacts During Reconstruction for High-Quality Segmentation

Segmenting anatomical structures in medical images has been successfully...

34 Ilkay Oksuz, et al. ∙

∙ 10/11/2019

Deep Learning Based Detection and Correction of Cardiac MR Motion Artefacts During Reconstruction for High-Quality Segmentatio

Segmenting anatomical structures in medical images has been successfully...

27 Ilkay Oksuz, et al. ∙

∙ 10/04/2019

A Topological Loss Function for Deep-Learning based Image Segmentation using Persistent Homology

We introduce a method for training neural networks to perform image or v...

86 James R. Clough, et al. ∙

∙ 09/24/2019

dAUTOMAP: decomposing AUTOMAP to achieve scalability and enhance performance

AUTOMAP is a promising generalized reconstruction approach, however, it ...

30 Jo Schlemper, et al. ∙

∙ 08/13/2019

Assessing the Impact of Blood Pressure on Cardiac Function Using Interpretable Biomarkers and Variational Autoencoders

Maintaining good cardiac function for as long as possible is a major con...

3 Esther Puyol-Antón, et al. ∙

∙ 06/14/2019

Global and Local Interpretability for Cardiac MRI Classification

Deep learning methods for classifying medical images have demonstrated i...

4 James R. Clough, et al. ∙

∙ 05/17/2019

Mechanically Powered Motion Imaging Phantoms: Proof of Concept

Motion imaging phantoms are expensive, bulky and difficult to transport ...

0 Alberto Gomez, et al. ∙

∙ 01/29/2019

Explicit topological priors for deep-learning based image segmentation using persistent homology

We present a novel method to explicitly incorporate topological prior kn...

0 James R. Clough, et al. ∙

∙ 12/19/2018

Magnetic Resonance Fingerprinting using Recurrent Neural Networks

Magnetic Resonance Fingerprinting (MRF) is a new approach to quantitativ...

0 Ilkay Oksuz, et al. ∙

∙ 08/15/2018

Deep Learning using K-space Based Data Augmentation for Automated Cardiac MR Motion Artefact Detection

Quality assessment of medical images is essential for complete automatio...

2 Ilkay Oksuz, et al. ∙

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