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Home > Deep Learning and Data Labeling for Medical Applications: First International Workshop, LABELS 2016, and Second International Workshop, DLMIA 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 21, 2016, Proceedings > Erratum to: Automated Retinopathy of Prematurity Case Detection with Convolutional Neural Networks
Deep Learning and Data Labeling for Medical Applications: First International Workshop, LABELS 2016, and Second International Workshop, DLMIA 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 21, 2016, Proceedings |
Gustavo Carneiro; Diana Mateus; Loïc Peter; Andrew Bradley; João Manuel R. S. Tavares; Vasileios Belagiannis; João Paulo Papa; Jacinto C. Nascimento; Marco Loog; Zhi Lu; Jaime S. Cardoso; Julien Cornebise
Springer International Publishing
Deep Learning and Data Labeling for Medical Applications: First International Workshop, LABELS 2016, and Second International Workshop, DLMIA 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 21, 2016, Proceedings
Erratum to: Automated Retinopathy of Prematurity Case Detection with Convolutional Neural Networks
Authors

Daniel E. Worrall; Clare M. Wilson; Gabriel J. Brostow

ARI Id

1664713628608_2873047

Access

Not Available Free

Pages

E1-E1

DOI

10.1007/978-3-319-46976-8_29

Chapter URL

https://rd.springer.com/chapter/10.1007/978-3-319-46976-8_29

Table of Contents of Book
Showing 1 to 20 of 33 entries
Chapters/HeadingsAuthor(s)PagesInfo
Front Matter
I-XIII
Front Matter
1-1
HEp-2 Cell Classification Using K-Support Spatial Pooling in Deep CNNs
Xian-Hua Han; Jianmei Lei; Yen-Wei Chen
3-11
Robust 3D Organ Localization with Dual Learning Architectures and Fusion
Xiaoguang Lu; Daguang Xu; David Liu
12-20
Cell Segmentation Proposal Network for Microscopy Image Analysis
Saad Ullah Akram; Juho Kannala; Lauri Eklund; Janne Heikkilä
21-29
Vessel Detection in Ultrasound Images Using Deep Convolutional Neural Networks
Erik Smistad; Lasse Løvstakken
30-38
Convolutional Neural Network for Reconstruction of 7T-like Images from 3T MRI Using Appearance and Anatomical Features
Khosro Bahrami; Feng Shi; Islem Rekik; Dinggang Shen
39-47
Fast Predictive Image Registration
Xiao Yang; Roland Kwitt; Marc Niethammer
48-57
Longitudinal Multiple Sclerosis Lesion Segmentation Using Multi-view Convolutional Neural Networks
Ariel Birenbaum; Hayit Greenspan
58-67
Automated Retinopathy of Prematurity Case Detection with Convolutional Neural Networks
Daniel E. Worrall; Clare M. Wilson; Gabriel J. Brostow
68-76
Fully Convolutional Network for Liver Segmentation and Lesions Detection
Avi Ben-Cohen; Idit Diamant; Eyal Klang; Michal Amitai; Hayit Greenspan
77-85
Deep Learning of Brain Lesion Patterns for Predicting Future Disease Activity in Patients with Early Symptoms of Multiple Sclerosis
Youngjin Yoo; Lisa W. Tang; Tom Brosch; David K. B. Li; Luanne Metz; Anthony Traboulsee et al.
86-94
De-noising of Contrast-Enhanced MRI Sequences by an Ensemble of Expert Deep Neural Networks
Ariel Benou; Ronel Veksler; Alon Friedman; Tammy Riklin Raviv
95-110
Three-Dimensional CT Image Segmentation by Combining 2D Fully Convolutional Network with 3D Majority Voting
Xiangrong Zhou; Takaaki Ito; Ryosuke Takayama; Song Wang; Takeshi Hara; Hiroshi Fujita
111-120
Medical Image Description Using Multi-task-loss CNN
Pavel Kisilev; Eli Sason; Ella Barkan; Sharbell Hashoul
121-129
Fully Automating Graf’s Method for DDH Diagnosis Using Deep Convolutional Neural Networks
David Golan; Yoni Donner; Chris Mansi; Jacob Jaremko; Manoj Ramachandran; on behalf of CUDL
130-141
Multi-dimensional Gated Recurrent Units for the Segmentation of Biomedical 3D-Data
Simon Andermatt; Simon Pezold; Philippe Cattin
142-151
Learning Thermal Process Representations for Intraoperative Analysis of Cortical Perfusion During Ischemic Strokes
Nico Hoffmann; Edmund Koch; Gerald Steiner; Uwe Petersohn; Matthias Kirsch
152-160
Automatic Slice Identification in 3D Medical Images with a ConvNet Regressor
Bob D. de Vos; Max A. Viergever; Pim A. de Jong; Ivana Išgum
161-169
Estimating CT Image from MRI Data Using 3D Fully Convolutional Networks
Dong Nie; Xiaohuan Cao; Yaozong Gao; Li Wang; Dinggang Shen
170-178
Chapters/HeadingsAuthor(s)PagesInfo
Showing 1 to 20 of 33 entries
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