Discretely-constrained deep network for weakly supervised segmentation
暂无分享,去创建一个
Jizong Peng | Christian Desrosiers | Ismail Ben Ayed | Marco Pedersoli | Hoel Kervadec | Jose Dolz | M. Pedersoli | J. Dolz | Christian Desrosiers | H. Kervadec | Jizong Peng
[1] Zhi-Quan Luo,et al. A Proximal Alternating Direction Method of Multiplier for Linearly Constrained Nonconvex Minimization , 2018, SIAM J. Optim..
[2] Jian Sun,et al. ScribbleSup: Scribble-Supervised Convolutional Networks for Semantic Segmentation , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[3] Jose Dolz,et al. 3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study , 2016, NeuroImage.
[4] John E. Beasley,et al. A Genetic Algorithm for the Multidimensional Knapsack Problem , 1998, J. Heuristics.
[5] Eugenio Culurciello,et al. ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation , 2016, ArXiv.
[6] Zhipeng Jia,et al. Constrained Deep Weak Supervision for Histopathology Image Segmentation , 2017, IEEE Transactions on Medical Imaging.
[7] Christian Desrosiers,et al. A sparse coding method for semi-supervised segmentation with multi-class histogram constraints , 2015, 2015 IEEE International Conference on Image Processing (ICIP).
[8] Christian Desrosiers,et al. High-quality Image Restoration Using Low-Rank Patch Regularization and Global Structure Sparsity , 2019, IEEE Transactions on Image Processing.
[9] Florian Jung,et al. Evaluation of prostate segmentation algorithms for MRI: The PROMISE12 challenge , 2014, Medical Image Anal..
[10] Jianbin Qiu,et al. Observer-Based Fuzzy Adaptive Event-Triggered Control for Pure-Feedback Nonlinear Systems With Prescribed Performance , 2019, IEEE Transactions on Fuzzy Systems.
[11] Eric Granger,et al. Curriculum semi-supervised segmentation , 2019, MICCAI.
[12] Feng Ma,et al. Convergence study on the proximal alternating direction method with larger step size , 2019, Numerical Algorithms.
[13] Ben Glocker,et al. Semi-supervised Learning for Network-Based Cardiac MR Image Segmentation , 2017, MICCAI.
[14] Jian Sun,et al. BoxSup: Exploiting Bounding Boxes to Supervise Convolutional Networks for Semantic Segmentation , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[15] Seyed-Ahmad Ahmadi,et al. V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation , 2016, 2016 Fourth International Conference on 3D Vision (3DV).
[16] Daniel Cremers,et al. Discrete-Continuous ADMM for Transductive Inference in Higher-Order MRFs , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[17] Trevor Darrell,et al. Constrained Convolutional Neural Networks for Weakly Supervised Segmentation , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[18] Patrick Pérez,et al. Distributed Non-convex ADMM-based inference in large-scale random fields , 2014, BMVC.
[19] Xinlei Chen,et al. Prior-Aware Neural Network for Partially-Supervised Multi-Organ Segmentation , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[20] G. G. Stokes. "J." , 1890, The New Yale Book of Quotations.
[21] Jose Dolz,et al. DOPE: Distributed Optimization for Pairwise Energies , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[22] Yading Yuan,et al. Automatic Skin Lesion Segmentation Using Deep Fully Convolutional Networks With Jaccard Distance , 2017, IEEE Transactions on Medical Imaging.
[23] Caiming Zhang,et al. Atlas-based reconstruction of high performance brain MR data , 2018, Pattern Recognit..
[24] Jose Dolz,et al. Unbiased Shape Compactness for Segmentation , 2017, MICCAI.
[25] Shu Liao,et al. Representation Learning: A Unified Deep Learning Framework for Automatic Prostate MR Segmentation , 2013, MICCAI.
[26] Ismail Ben Ayed,et al. Beyond Gradient Descent for Regularized Segmentation Losses , 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[27] Bram van Ginneken,et al. A survey on deep learning in medical image analysis , 2017, Medical Image Anal..
[28] Tsuyoshi Murata,et al. {m , 1934, ACML.
[29] Sergey Ioffe,et al. Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning , 2016, AAAI.
[30] Laurence A. Wolsey,et al. Integer and Combinatorial Optimization , 1988 .
[31] Eric Granger,et al. Constrained‐CNN losses for weakly supervised segmentation☆ , 2018, Medical Image Anal..
[32] William H. Cunningham. On submodular function minimization , 1985, Comb..
[33] Kazem Rahimi,et al. A cardiac contouring atlas for radiotherapy , 2017, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.
[34] George Papandreou,et al. Weakly- and Semi-Supervised Learning of a DCNN for Semantic Image Segmentation , 2015, ArXiv.
[35] Jianbin Qiu,et al. Adaptive Fuzzy Control for Nontriangular Structural Stochastic Switched Nonlinear Systems With Full State Constraints , 2019, IEEE Transactions on Fuzzy Systems.
[36] Konstantinos Kamnitsas,et al. DeepCut: Object Segmentation From Bounding Box Annotations Using Convolutional Neural Networks , 2016, IEEE Transactions on Medical Imaging.
[37] Olga Veksler,et al. Star Shape Prior for Graph-Cut Image Segmentation , 2008, ECCV.
[38] Thomas Brox,et al. U-Net: Convolutional Networks for Biomedical Image Segmentation , 2015, MICCAI.
[39] Olga Veksler,et al. Fast Approximate Energy Minimization via Graph Cuts , 2001, IEEE Trans. Pattern Anal. Mach. Intell..
[40] Yann LeCun,et al. Predicting Deeper into the Future of Semantic Segmentation , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[41] Stephen P. Boyd,et al. Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers , 2011, Found. Trends Mach. Learn..
[42] Avan Suinesiaputra,et al. Left ventricular shape variation in asymptomatic populations: the multi-ethnic study of atherosclerosis , 2014, Journal of Cardiovascular Magnetic Resonance.
[43] Xin Yang,et al. Deep Learning Techniques for Automatic MRI Cardiac Multi-Structures Segmentation and Diagnosis: Is the Problem Solved? , 2018, IEEE Transactions on Medical Imaging.