research
∙
11/04/2019
Semi-Supervised Medical Image Segmentation via Learning Consistency under Transformations
The scarcity of labeled data often limits the application of supervised ...
share
research
∙
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...
research
∙
09/19/2019
APIR-Net: Autocalibrated Parallel Imaging Reconstruction using a Neural Network
Deep learning has been successfully demonstrated in MRI reconstruction o...
research
∙
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...
research
∙
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...
research
∙
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...
research
∙
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...
research
∙
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 ...
research
∙
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...
research
∙
07/12/2018
Hydranet: Data Augmentation for Regression Neural Networks
Despite recent efforts, deep learning techniques remain often heavily de...
research
∙
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...
research
∙
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...
research
∙
06/04/2017
Segmentation of Intracranial Arterial Calcification with Deeply Supervised Residual Dropout Networks
Intracranial carotid artery calcification (ICAC) is a major risk factor ...
research
∙
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...
research
∙
09/20/2016