Fetching the paper…
Reading the bibliography…
Deep convolutional neural networks (DCNN) are currently ubiquitous in medical imaging.
Emergence of simple-cell receptive field properties by learning a sparse code for natural images
Bruno A Olshausen and David J Field · 1996
Earlier work this paper cites.
Efficient sparse coding algorithms
Honglak Lee, Alexis Battle, Rajat Raina, and Andrew Y Ng · 2007
Earlier work this paper cites.
Toward precise pulmonary nodule descriptors for nodule type classification
Amal Farag, Shireen Elhabian, James Graham, Aly Farag, and Robert Falk · 2010
Earlier work this paper cites.
BRIEF: Computing a local binary descriptor very fast
Michael Calonder, Vincent Lepetit, Mustafa Ozuysal, Tomasz Trzcinski, Christoph Strecha, and Pascal Fua · 2012
Earlier work this paper cites.
Edge-and detail-preserving sparse image representations for deformable registration of chest MRI and CT volumes
Mattias P Heinrich, Mark Jenkinson, Bartlomiej W Papież, Fergus V Glesson, Michael Brady, and Julia A Schnabel · 2013
Earlier work this paper cites.
Learning semantic image representations at a large scale
Yangqing Jia · 2014
Earlier work this paper cites.
Multi-modal multi-atlas segmentation using discrete optimisation and self-similarities
Mattias P Heinrich, Oskar Maier, and Heinz Handels · 2015
Earlier work this paper cites.
Batch normalization: Accelerating deep network training by reducing internal covariate shift
Sergey Ioffe and Christian Szegedy · 2015
Earlier work this paper cites.
Sparse convolutional neural networks
Baoyuan Liu, Min Wang, Hassan Foroosh, Marshall Tappen, and Marianna Pensky · 2015
Earlier work this paper cites.
Fully convolutional networks for semantic segmentation
Jonathan Long, Evan Shelhamer, and Trevor Darrell · 2015
Earlier work this paper cites.
U-net: Convolutional networks for biomedical image segmentation
Olaf Ronneberger, Philipp Fischer, and Thomas Brox · 2015
Earlier work this paper cites.
DeepOrgan: multi-level deep convolutional networks for automated pancreas segmentation
Holger R Roth, Le Lu, Amal Farag, Hoo-Chang Shin, Jiamin Liu, Evrim B Turkbey, and Ronald M Summers · 2015
Earlier work this paper cites.
Efficient multi-atlas abdominal segmentation on clinically acquired CT with SIMPLE context learning
Zhoubing Xu, Ryan P Burke, Christopher P Lee, Rebeccah B Baucom, Benjamin K Poulose, Richard G Abramson, and Bennett A Landman · 2015
Cited alongside, same era.
Multi-scale context aggregation by dilated convolutions
Fisher Yu and Vladlen Koltun · 2015
Cited alongside, same era.
Towards large-scale histopathological image analysis: Hashing-based image retrieval
Xiaofan Zhang, Wei Liu, Murat Dundar, Sunil Badve, and Shaoting Zhang · 2015
Cited alongside, same era.
Binarized neural networks: Training deep neural networks with weights and activations constrained to+ 1 or-1
Matthieu Courbariaux, Itay Hubara, Daniel Soudry, Ran El-Yaniv, and Yoshua Bengio · 2016
Cited alongside, same era.
Multi-organ segmentation using vantage point forests and binary context features
Mattias P Heinrich and Maximilian Blendowski · 2016
Cited alongside, same era.
Evaluation of body-wise and organ-wise registrations for abdominal organs
Zhoubing Xu, Sahil A Panjwani, Christopher P Lee, Ryan P Burke, Rebeccah B Baucom, Benjamin K Poulose, Richard G Abramson, and Bennett A Landman · 2016
Later among the works it cites.
Hashnet: Deep learning to hash by continuation
Zhangjie Cao, Mingsheng Long, Jianmin Wang, and Philip S Yu · 2017
Later among the works it cites.
Hashing with residual networks for image retrieval
Sailesh Conjeti, Abhijit Guha Roy, Amin Katouzian, and Nassir Navab · 2017
Later among the works it cites.
Towards image-guided pancreas and biliary endoscopy: Automatic multi-organ segmentation on abdominal CT with dense dilated networks
Eli Gibson, Francesco Giganti, Yipeng Hu, Ester Bonmati, Steve Bandula, Kurinchi Gurusamy, Brian R Davidson, Stephen P Pereira, Matthew J Clarkson, and Dean C Barratt · 2017
Later among the works it cites.
BRIEFnet: deep pancreas segmentation using binary sparse convolutions
Mattias P Heinrich and Ozan Oktay · 2017
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Densely connected convolutional networks
Gao Huang, Zhuang Liu, Kilian Q Weinberger, and Laurens van der Maaten · 2016
Cited alongside, same era.
Ternary weight networks
Fengfu Li, Bo Zhang, and Bin Liu · 2016
Cited alongside, same era.
V-Net: fully convolutional neural networks for volumetric medical image segmentation
Fausto Milletari, Nassir Navab, and Seyed-Ahmad Ahmadi · 2016
Cited alongside, same era.
XNOR-Net: Imagenet classification using binary convolutional neural networks
Mohammad Rastegari, Vicente Ordonez, Joseph Redmon, and Ali Farhadi · 2016
Cited alongside, same era.
Spatial aggregation of holistically-nested networks for automated pancreas segmentation
Holger R Roth, Le Lu, Amal Farag, Andrew Sohn, and Ronald M Summers · 2016
Cited alongside, same era.
Dilated convolutional neural networks for cardiovascular MR segmentation in congenital heart disease
Jelmer M Wolterink, Tim Leiner, Max A Viergever, and Ivana Išgum · 2016
Cited alongside, same era.
Evaluation of six registration methods for the human abdomen on clinically acquired CT
Z Xu, CP Lee, MP Heinrich, M Modat, D Rueckert, S Ourselin, RG Abramson, and BA Landman · 2016
Cited alongside, same era.
Local binary convolutional neural networks
Felix Juefei-Xu, Vishnu Naresh Boddeti, and Marios Savvides · 2017
Later among the works it cites.
Robust abdominal organ segmentation using regional convolutional neural networks
Måns Larsson, Yuhang Zhang, and Fredrik Kahl · 2017
Later among the works it cites.
A fixed-point model for pancreas segmentation in abdominal CT scans
Yuyin Zhou, Lingxi Xie, Wei Shen, Yan Wang, Elliot K Fishman, and Alan L Yuille · 2017
Later among the works it cites.
Trained ternary quantization
Chenzhuo Zhu, Song Han, Huizi Mao, and William J Dally · 2017
Later among the works it cites.
Faster population counts using AVX2 instructions
Wojciech Muła, Nathan Kurz, and Daniel Lemire · 2018
Closest in time.
Integrating geometric configuration and appearance information into a unified framework for anatomical landmark localization
Martin Urschler, Thomas Ebner, and Darko Štern · 2018
Closest in time.