LABELS/DLMIA@MICCAI

Keyphrases

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)