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
∙
07/29/2019
Multi-Task Attention-Based Semi-Supervised Learning for Medical Image Segmentation
We propose a novel semi-supervised image segmentation method that simult...
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
∙
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
∙
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
∙
08/26/2016
