Florian Dubost | DeepAI

DeepAI AI Chat

Featured Co-authors

Nassir Navab
318 publications
Adrian V. Dalca
58 publications
Polina Golland
55 publications
Christian Rupprecht
48 publications
Marleen de Bruijne
40 publications
Stefan Klein
27 publications
Bernhard Egger
22 publications
Wiro J. Niessen
17 publications
Tingying Peng
14 publications
Esther E. Bron
14 publications
Wiro Niessen
12 publications

∙ 11/04/2019

Semi-Supervised Medical Image Segmentation via Learning Consistency under Transformations

The scarcity of labeled data often limits the application of supervised ...

0 Gerda Bortsova, et al. ∙

∙ 11/04/2019

Automated Estimation of the Spinal Curvature via Spine Centerline Extraction with Ensembles of Cascaded Neural Networks

Scoliosis is a condition defined by an abnormal spinal curvature. For di...

0 Florian Dubost, et al. ∙

∙ 09/19/2019

APIR-Net: Autocalibrated Parallel Imaging Reconstruction using a Neural Network

Deep learning has been successfully demonstrated in MRI reconstruction o...

15 Chaoping Zhang, et al. ∙

∙ 07/29/2019

Automated Lesion Detection by Regressing Intensity-Based Distance with a Neural Network

Localization of focal vascular lesions on brain MRI is an important comp...

0 Kimberlin M. H. van Wijnen, et al. ∙

∙ 07/17/2019

Patient-specific Conditional Joint Models of Shape, Image Features and Clinical Indicators

We propose and demonstrate a joint model of anatomical shapes, image fea...

0 Bernhard Egger, et al. ∙

∙ 07/01/2019

Automated Image Registration Quality Assessment Utilizing Deep-learning based Ventricle Extraction in Clinical Data

Registration is a core component of many imaging pipelines. In case of c...

0 Florian Dubost, et al. ∙

∙ 06/05/2019

Weakly Supervised Object Detection with 2D and 3D Regression Neural Networks

Weakly supervised detection methods can infer the location of target obj...

0 Florian Dubost, et al. ∙

∙ 03/08/2019

Event-Based Modeling with High-Dimensional Imaging Biomarkers for Estimating Spatial Progression of Dementia

Event-based models (EBM) are a class of disease progression models that ...

0 Vikram Venkatraghavan, et al. ∙

∙ 07/23/2018

Deep Learning from Label Proportions for Emphysema Quantification

We propose an end-to-end deep learning method that learns to estimate em...

0 Gerda Bortsova, et al. ∙

∙ 07/12/2018

Hydranet: Data Augmentation for Regression Neural Networks

Despite recent efforts, deep learning techniques remain often heavily de...

0 Florian Dubost, et al. ∙

∙ 03/21/2018

Quantification of Lung Abnormalities in Cystic Fibrosis using Deep Networks

Cystic fibrosis is a genetic disease which may appear in early life with...

0 Filipe Marques, et al. ∙

∙ 02/16/2018

3D Regression Neural Network for the Quantification of Enlarged Perivascular Spaces in Brain MRI

Enlarged perivascular spaces (EPVS) in the brain are an emerging imaging...

0 Florian Dubost, et al. ∙

∙ 06/04/2017

Segmentation of Intracranial Arterial Calcification with Deeply Supervised Residual Dropout Networks

Intracranial carotid artery calcification (ICAC) is a major risk factor ...

0 Gerda Bortsova, et al. ∙

∙ 05/22/2017

GP-Unet: Lesion Detection from Weak Labels with a 3D Regression Network

We propose a novel convolutional neural network for lesion detection fro...

0 Florian Dubost, et al. ∙

∙ 09/20/2016

Hands-Free Segmentation of Medical Volumes via Binary Inputs

We propose a novel hands-free method to interactively segment 3D medical...

0 Florian Dubost, et al. ∙

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