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LABELS/DLMIA@MICCAI
Publications
2016
Ariel Birenbaum
,
Hayit Greenspan
Longitudinal Multiple Sclerosis Lesion Segmentation Using Multi-view Convolutional Neural Networks.
LABELS/DLMIA@MICCAI
(2016)
Stephen M. Plaza
Focused Proofreading to Reconstruct Neural Connectomes from EM Images at Scale.
LABELS/DLMIA@MICCAI
(2016)
Avi Ben-Cohen
,
Idit Diamant
,
Eyal Klang
,
Michal Amitai
,
Hayit Greenspan
Fully Convolutional Network for Liver Segmentation and Lesions Detection.
LABELS/DLMIA@MICCAI
(2016)
Bob D. de Vos
,
Max A. Viergever
,
Pim A. de Jong
,
Ivana Isgum
Automatic Slice Identification in 3D Medical Images with a ConvNet Regressor.
LABELS/DLMIA@MICCAI
(2016)
Hariharan Ravishankar
,
Prasad Sudhakar
,
Rahul Venkataramani
,
Sheshadri Thiruvenkadam
,
Pavan Annangi
,
Narayanan Babu
,
Vivek Vaidya
Understanding the Mechanisms of Deep Transfer Learning for Medical Images.
LABELS/DLMIA@MICCAI
(2016)
Xiangrong Zhou
,
Takaaki Ito
,
Ryosuke Takayama
,
Song Wang
,
Takeshi Hara
,
Hiroshi Fujita
Three-Dimensional CT Image Segmentation by Combining 2D Fully Convolutional Network with 3D Majority Voting.
LABELS/DLMIA@MICCAI
(2016)
Valentina Carapella
,
Ernesto Jiménez-Ruiz
,
Elena Lukaschuk
,
Nay Aung
,
Kenneth Fung
,
José Miguel Paiva
,
Mihir Sanghvi
,
Stefan Neubauer
,
Steffen E. Petersen
,
Ian Horrocks
,
Stefan K. Piechnik
Towards the Semantic Enrichment of Free-Text Annotation of Image Quality Assessment for UK Biobank Cardiac Cine MRI Scans.
LABELS/DLMIA@MICCAI
(2016)
Erik Smistad
,
Lasse Løvstakken
Vessel Detection in Ultrasound Images Using Deep Convolutional Neural Networks.
LABELS/DLMIA@MICCAI
(2016)
Daniel E. Worrall
,
Clare M. Wilson
,
Gabriel J. Brostow
Automated Retinopathy of Prematurity Case Detection with Convolutional Neural Networks.
LABELS/DLMIA@MICCAI
(2016)
Florian Dubost
,
Loïc Peter
,
Christian Rupprecht
,
Benjamín Gutiérrez-Becker
,
Nassir Navab
Hands-Free Segmentation of Medical Volumes via Binary Inputs.
LABELS/DLMIA@MICCAI
(2016)
Khosro Bahrami
,
Feng Shi
,
Islem Rekik
,
Dinggang Shen
Convolutional Neural Network for Reconstruction of 7T-like Images from 3T MRI Using Appearance and Anatomical Features.
LABELS/DLMIA@MICCAI
(2016)
David Golan
,
Yoni Donner
,
Chris Mansi
,
Jacob L. Jaremko
,
Manoj Ramachandran
Fully Automating Graf's Method for DDH Diagnosis Using Deep Convolutional Neural Networks.
LABELS/DLMIA@MICCAI
(2016)
Pavel Kisilev
,
Eli Sason
,
Ella Barkan
,
Sharbell Y. Hashoul
Medical Image Description Using Multi-task-loss CNN.
LABELS/DLMIA@MICCAI
(2016)
Ayelet Akselrod-Ballin
,
Leonid Karlinsky
,
Sharon Alpert
,
Sharbell Y. Hasoul
,
Rami Ben-Ari
,
Ella Barkan
A Region Based Convolutional Network for Tumor Detection and Classification in Breast Mammography.
LABELS/DLMIA@MICCAI
(2016)
Nico Hoffmann
,
Edmund Koch
,
Gerald Steiner
,
Uwe Petersohn
,
Matthias Kirsch
Learning Thermal Process Representations for Intraoperative Analysis of Cortical Perfusion During Ischemic Strokes.
LABELS/DLMIA@MICCAI
(2016)
Xian-Hua Han
,
Jianmei Lei
,
Yen-Wei Chen
HEp-2 Cell Classification Using K-Support Spatial Pooling in Deep CNNs.
LABELS/DLMIA@MICCAI
(2016)
Shadi Albarqouni
,
Stefan Matl
,
Maximilian Baust
,
Nassir Navab
,
Stefanie Demirci
Playsourcing: A Novel Concept for Knowledge Creation in Biomedical Research.
LABELS/DLMIA@MICCAI
(2016)
Veronika Cheplygina
,
Adria Perez-Rovira
,
Wieying Kuo
,
Harm A. W. M. Tiddens
,
Marleen de Bruijne
Early Experiences with Crowdsourcing Airway Annotations in Chest CT.
LABELS/DLMIA@MICCAI
(2016)
Saad Ullah Akram
,
Juho Kannala
,
Lauri Eklund
,
Janne Heikkilä
Cell Segmentation Proposal Network for Microscopy Image Analysis.
LABELS/DLMIA@MICCAI
(2016)
Dong Nie
,
Xiaohuan Cao
,
Yaozong Gao
,
Li Wang
,
Dinggang Shen
Estimating CT Image from MRI Data Using 3D Fully Convolutional Networks.
LABELS/DLMIA@MICCAI
(2016)
Michal Drozdzal
,
Eugene Vorontsov
,
Gabriel Chartrand
,
Samuel Kadoury
,
Chris Pal
The Importance of Skip Connections in Biomedical Image Segmentation.
LABELS/DLMIA@MICCAI
(2016)
Chi Liu
,
Yue Huang
,
Ligong Han
,
John A. Ozolek
,
Gustavo K. Rohde
Hierarchical Feature Extraction for Nuclear Morphometry-Based Cancer Diagnosis.
LABELS/DLMIA@MICCAI
(2016)
Ariel Benou
,
Ronel Veksler
,
Alon Friedman
,
Tammy Riklin Raviv
De-noising of Contrast-Enhanced MRI Sequences by an Ensemble of Expert Deep Neural Networks.
LABELS/DLMIA@MICCAI
(2016)
Simon Andermatt
,
Simon Pezold
,
Philippe C. Cattin
Multi-dimensional Gated Recurrent Units for the Segmentation of Biomedical 3D-Data.
LABELS/DLMIA@MICCAI
(2016)
Alba Garcia Seco de Herrera
,
Roger Schaer
,
Sameer K. Antani
,
Henning Müller
Using Crowdsourcing for Multi-label Biomedical Compound Figure Annotation.
LABELS/DLMIA@MICCAI
(2016)
Youngjin Yoo
,
Lisa Y. W. Tang
,
Tom Brosch
,
David K. B. Li
,
Luanne Metz
,
Anthony Traboulsee
,
Roger C. Tam
Deep Learning of Brain Lesion Patterns for Predicting Future Disease Activity in Patients with Early Symptoms of Multiple Sclerosis.
LABELS/DLMIA@MICCAI
(2016)
Xiao Yang
,
Roland Kwitt
,
Marc Niethammer
Fast Predictive Image Registration.
LABELS/DLMIA@MICCAI
(2016)
Xiaoguang Lu
,
Daguang Xu
,
David Liu
Robust 3D Organ Localization with Dual Learning Architectures and Fusion.
LABELS/DLMIA@MICCAI
(2016)
volume 10008, 2016
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
LABELS/DLMIA@MICCAI
10008 (2016)