Deep Learning Publication Navigator - subtopic: residual

Year TitleAuthor
2017   Dilated Residual Network for Image Denoising  T Wang, M Sun, K Hu
2017   Residual and Plain Convolutional Neural Networks for 3D Brain MRI Classification  S Korolev, A Safiullin, M Belyaev, Y Dodonova
2017   Deep Residual Learning for Instrument Segmentation in Robotic Surgery  D Pakhomov, V Premachandran, M Allan, M Azizian
2017   Residual Networks for Computer Go  T Cazenave
2017   Deep residual coalesced convolutional network for efficient semantic road segmentation  I Ardiyanto, TB Adji
2017   Direct Estimation of Regional Wall Thicknesses via Residual Recurrent Neural Network  W Xue, IB Nachum, S Pandey, J Warrington, S Leung
2017   ResnetCrowd: A Residual Deep Learning Architecture for Crowd Counting, Violent Behaviour Detection and Crowd Density Level Classification  M Marsden, K McGuinness, S Little, NE O'Connor
2017   Deep Residual Text Detection Network for Scene Text  X Zhu, Y Jiang, S Yang, X Wang, W Li, P Fu, H Wang 
2017   Weakly-Labelled Semantic Segmentation of Fish Objects in Underwater Videos Using a Deep Residual Network  AB Labao, PC Naval
2017   A Deep Residual Convolutional Neural Network For Facial Keypoint Detection with Missing Labels  S Wu, J Xu, S Zhu, H Guo 
2017   Deep Residual Nets for Improved Alzheimer's Diagnosis  A Valliani, A Soni
2017   Infrared Image Temperature Measurement Based on FCN and Residual Network  Z Xu, J Wang, P Xu, T Liu
2017   High Efficient Reconstruction of Single-shot T2 Mapping from OverLapping-Echo Detachment Planar Imaging Based on Deep Residual Network  C Cai, Y Zeng, C Wang, S Cai, J Zhang, Z Chen
2017   Pulmonary nodule classification with deep residual networks  A Nibali, Z He, D Wollersheim
2017   Residual Conv-Deconv Grid Network for Semantic Segmentation  D Fourure, R Emonet, E Fromont, D Muselet
2017   Anomaly Detection In Surveillance Videos Using Deep Residual Networks  LP Cinelli
2017   Solving inverse problems using residual neural networks  AT Sinha, J Lee, S Li, G Barbastathis
2017   Fast Residual Forests: Rapid Ensemble Learning for Semantic Segmentation  Y Zuo, T Drummond 
2017   Label-Free Analyses of Minimal Residual Disease in ALL Using Deep Learning and Imaging Flow Cytometry  M Doan, M Case, D Mašić, H Hennig, C McQuin
2017   Multi-scale Volumetric ConvNet with Nested Residual Connections for Segmentation of Anterior Cranial Base  Y Pei, H Qin, G Ma, Y Guo, G Chen, T Xu, H Zha
2017   DR $^{2} $-Net: Deep Residual Reconstruction Network for Image Compressive Sensing  H Yao, F Dai, D Zhang, Y Ma, S Zhang, Y Zhang
2017   A Deep Residual Inception Network for HEp-2 Cell Classification  Y Li, L Shen
2017   Deep Residual Recurrent Neural Networks for Characterisation of Cardiac Cycle Phase from Echocardiograms  FT Dezaki, N Dhungel, AH Abdi, C Luong, T Tsang
2017   A Deep Network with Composite Residual Structure for Handwritten Character Recognition  Z Rao, C Zeng, N Zhao, M Liu, M Wu, Z Wang
2017   Automated Pulmonary Nodule Detection via 3D ConvNets with Online Sample Filtering and Hybrid-Loss Residual Learning  Q Dou, H Chen, Y Jin, H Lin, J Qin, PA Heng
2017   Deep residual learning in CT physics: scatter correction for spectral CT  S Xu, P Prinsen, J Wiegert, R Manjeshwar
2017   Volumetric ConvNets with Mixed Residual Connections for Automated Prostate Segmentation from 3D MR Images  L Yu, X Yang, H Chen, J Qin, PA Heng
2017   Deep residual learning for remote sensed imagery pansharpening  Y Wei, Q Yuan
2017   Wavelet Domain Residual Network (WavResNet) for Low-Dose X-ray CT Reconstruction  E Kang, JC Ye
2017   Multi-Scale Wavelet Domain Residual Learning for Limited-Angle CT Reconstruction  J Gu, JC Ye
2017   Segmentation of Drivable Road Using Deep Fully Convolutional Residual Network with Pyramid Pooling  X Liu, Z Deng 
2017   Boosting the accuracy of multi-spectral image pan-sharpening by learning a deep residual network  Y Wei, Q Yuan, H Shen, L Zhang
2017   Wide residual networks for mitosis detection  E Zerhouni, D Lányi, M Viana, M Gabrani
2017   Residual Network with Delayed Max Pooling for Very Large Scale Plant Identification  ST Hang, M Aono
2017   A Novel Deep Multi-channel Residual Networks-based Metric Learning Method for Moving Human Localization in Video Surveillance  W Huang, H Ding, G Chen
2017   Deep Residual Learning For Compressed Sensing Mri  D Lee, J Yoo, JC Ye
2017   VoxResNet: Deep voxelwise residual networks for brain segmentation from 3D MR images  H Chen, Q Dou, L Yu, J Qin, PA Heng
2017   Residual Attention Network for Image Classification  F Wang, M Jiang, C Qian, S Yang, C Li, H Zhang
2017   Fully Automated Classification Of Mammograms Using Deep Residual Neural Networks  N Dhungel, G Carneiro, AP Bradley
2017   Deep Residual Networks for Hyperspectral Image Classification  Z Zhong, J Li, L Ma, H Jiang, H Zhao
2017   Spectral-Spatial Residual Network for Hyperspectral Image Classification: A 3-D Deep Learning Framework  Z Zhong, J Li, Z Luo, M Chapman 
2017   Low-dose CT Image Postprocessing Based on Residual Convolutional Network  W Yang, H Zhang, J Wu, X Yin, Y Chen, H Shu, L Luo 
2016   Label distribution based facial attractiveness computation by deep residual learning  S Liu, B Li, Y Fan, Z Guo, A Samal
2016   Unsupervised Domain Adaptation with Residual Transfer Networks  M Long, J Wang, MI Jordan
2016   Deeper Depth Prediction with Fully Convolutional Residual Networks  I Laina, C Rupprecht, V Belagiannis, F Tombari
2016   Deep Residual Learning for Compressed Sensing CT Reconstruction via Persistent Homology Analysis  Y Han, J Yoo, JC Ye
2016   Bridging the Gaps Between Residual Learning, Recurrent Neural Networks and Visual Cortex  Q Liao, T Poggio
2016   Deep Cross Residual Learning for Multitask Visual Recognition  B Jou, SF Chang
2016   Identity Mappings in Deep Residual Networks  K He, X Zhang, S Ren, J Sun
2016   Brain tumor classification of microscopy images using deep residual learning  Y Ishikawa, K Washiya, K Aoki, H Nagahashi
2016   Convolutional Residual Memory Networks  J Moniz, C Pal
2016   Full-Resolution Residual Networks for Semantic Segmentation in Street Scenes  T Pohlen, A Hermans, M Mathias, B Leibe
2016   Aggregated Residual Transformations for Deep Neural Networks  S Xie, R Girshick, P Dollár, Z Tu, K He
2016   Deep residual networks for plankton classification  X Li, Z Cui
2016   Highway and Residual Networks learn Unrolled Iterative Estimation  K Greff, RK Srivastava, J Schmidhuber
2016   Estimating Depth from Monocular Images as Classification Using Deep Fully Convolutional Residual Networks  Y Cao, Z Wu, C Shen
2016   Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction  J Zhang, Y Zheng, D Qi
2016   Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising  K Zhang, W Zuo, Y Chen, D Meng, L Zhang
2016   Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning  C Szegedy, S Ioffe, V Vanhoucke
2016   Deep Edge Guided Recurrent Residual Learning for Image Super-Resolution  W Yang, J Feng, J Yang, F Zhao, J Liu, Z Guo, S Yan
2016   Wide-Slice Residual Networks for Food Recognition  N Martinel, GL Foresti, C Micheloni
2016   FusionNet: A deep fully residual convolutional neural network for image segmentation in connectomics  TM Quan, DGC Hilderbrand, WK Jeong
2016   Deep Residual Hashing  S Conjeti, AG Roy, A Katouzian, N Navab
2016   VoxResNet: Deep Voxelwise Residual Networks for Volumetric Brain Segmentation  H Chen, Q Dou, L Yu, PA Heng
2015   Current challenges in glioblastoma: intratumour heterogeneity, residual disease and models to predict disease recurrence  HP Ellis, M Greenslade, B Powell, I Spiteri, A Sottoriva
2014   Background Prior Based Salient Object Detection via Deep Reconstruction Residual  J Han, D Zhang, X Hu, L Guo, J Ren, F Wu