Ozan Oktay | DeepAI

AI Chat

Featured Co-authors

Daniel Rueckert
199 publications
Guang Yang
118 publications
Liang Chen
97 publications
Ben Glocker
95 publications
Andreas Maier
84 publications
Bernhard Kainz
46 publications
Wenjia Bai
37 publications
Kensaku Mori
34 publications
Hoifung Poon
32 publications
Konstantinos Kamnitsas
30 publications
Jinming Duan
30 publications

∙ 07/31/2023

No Fair Lunch: A Causal Perspective on Dataset Bias in Machine Learning for Medical Imaging

As machine learning methods gain prominence within clinical decision-mak...

0 Charles Jones, et al. ∙

∙ 05/09/2023

Region-based Contrastive Pretraining for Medical Image Retrieval with Anatomic Query

We introduce a novel Region-based contrastive pretraining for Medical Im...

3 Ho Hin Lee, et al. ∙

∙ 01/11/2023

Learning to Exploit Temporal Structure for Biomedical Vision-Language Processing

Self-supervised learning in vision-language processing exploits semantic...

11 Shruthi Bannur, et al. ∙

∙ 04/21/2022

Making the Most of Text Semantics to Improve Biomedical Vision–Language Processing

Multi-modal data abounds in biomedicine, such as radiology images and re...

2 Benedikt Boecking, et al. ∙

∙ 07/22/2019

Image-and-Spatial Transformer Networks for Structure-Guided Image Registration

Image registration with deep neural networks has become an active field ...

2 Matthew C. H. Lee, et al. ∙

∙ 06/28/2019

Explainable Shape Analysis through Deep Hierarchical Generative Models: Application to Cardiac Remodeling

Quantification of anatomical shape changes still relies on scalar global...

1 Carlo Biffi, et al. ∙

∙ 01/27/2019

Automated Quality Control in Image Segmentation: Application to the UK Biobank Cardiac MR Imaging Study

Background: The trend towards large-scale studies including population i...

38 Robert Robinson, et al. ∙

∙ 10/03/2018

A Comprehensive Approach for Learning-based Fully-Automated Inter-slice Motion Correction for Short-Axis Cine Cardiac MR Image Stacks

In the clinical routine, short axis (SA) cine cardiac MR (CMR) image sta...

8 Giacomo Tarroni, et al. ∙

∙ 08/22/2018

Attention Gated Networks: Learning to Leverage Salient Regions in Medical Images

We propose a novel attention gate (AG) model for medical image analysis ...

6 Jo Schlemper, et al. ∙

∙ 08/01/2018

Recurrent neural networks for aortic image sequence segmentation with sparse annotations

Segmentation of image sequences is an important task in medical image an...

6 Wenjia Bai, et al. ∙

∙ 07/18/2018

Learning Interpretable Anatomical Features Through Deep Generative Models: Application to Cardiac Remodeling

Alterations in the geometry and function of the heart define well-establ...

8 Carlo Biffi, et al. ∙

∙ 06/28/2018

Adversarial and Perceptual Refinement for Compressed Sensing MRI Reconstruction

Deep learning approaches have shown promising performance for compressed...

4 Maximilian Seitzer, et al. ∙

∙ 06/16/2018

Real-time Prediction of Segmentation Quality

Recent advances in deep learning based image segmentation methods have e...

14 Robert Robinson, et al. ∙

∙ 06/08/2018

Automatic View Planning with Multi-scale Deep Reinforcement Learning Agents

We propose a fully automatic method to find standardized view planes in ...

10 Amir Alansary, et al. ∙

∙ 04/15/2018

Attention-Gated Networks for Improving Ultrasound Scan Plane Detection

In this work, we apply an attention-gated network to real-time automated...

0 Jo Schlemper, et al. ∙

∙ 04/11/2018

Attention U-Net: Learning Where to Look for the Pancreas

We propose a novel attention gate (AG) model for medical imaging that au...

0 Ozan Oktay, et al. ∙

∙ 03/25/2018

Learning-Based Quality Control for Cardiac MR Images

The effectiveness of a cardiovascular magnetic resonance (CMR) scan depe...

0 Giacomo Tarroni, et al. ∙

∙ 01/29/2018

TernaryNet: Faster Deep Model Inference without GPUs for Medical 3D Segmentation using Sparse and Binary Convolutions

Deep convolutional neural networks (DCNN) are currently ubiquitous in me...

0 Mattias P. Heinrich, et al. ∙

∙ 10/25/2017

Human-level CMR image analysis with deep fully convolutional networks

Cardiovascular magnetic resonance (CMR) imaging is a standard imaging mo...

0 Wenjia Bai, et al. ∙

∙ 05/22/2017

Anatomically Constrained Neural Networks (ACNN): Application to Cardiac Image Enhancement and Segmentation

Incorporation of prior knowledge about organ shape and location is key t...

0 Ozan Oktay, et al. ∙

∙ 02/28/2017

Context-Sensitive Super-Resolution for Fast Fetal Magnetic Resonance Imaging

3D Magnetic Resonance Imaging (MRI) is often a trade-off between fast bu...

0 Steven McDonagh, et al. ∙

∙ 06/03/2016

Learning under Distributed Weak Supervision

The availability of training data for supervision is a frequently encoun...

0 Martin Rajchl, et al. ∙

∙ 05/25/2016

DeepCut: Object Segmentation from Bounding Box Annotations using Convolutional Neural Networks

In this paper, we propose DeepCut, a method to obtain pixelwise object s...

0 Martin Rajchl, et al. ∙

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