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Shuiwang Ji | Yi Liu | Shuiwang Ji | Yi Liu
[1] G. Urban,et al. Automated synaptic connectivity inference for volume electron microscopy , 2017, Nature Methods.
[2] Tamara G. Kolda,et al. Tensor Decompositions and Applications , 2009, SIAM Rev..
[3] Hanchuan Peng,et al. Deep models for brain EM image segmentation: novel insights and improved performance , 2016, Bioinform..
[4] Qingjie Liu,et al. Road Extraction by Deep Residual U-Net , 2017, IEEE Geoscience and Remote Sensing Letters.
[5] Sanja Fidler,et al. Gated-SCNN: Gated Shape CNNs for Semantic Segmentation , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[6] Tianwei Ni,et al. Elastic Boundary Projection for 3D Medical Image Segmentation , 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[7] Ziv Yaniv,et al. A Distance Map Regularized CNN for Cardiac Cine MR Image Segmentation , 2019, Medical physics.
[8] Septimiu E. Salcudean,et al. Reducing the Hausdorff Distance in Medical Image Segmentation With Convolutional Neural Networks , 2019, IEEE Transactions on Medical Imaging.
[9] Shuiwang Ji,et al. Global Voxel Transformer Networks for Augmented Microscopy , 2021, Nat. Mach. Intell..
[10] Gunilla Borgefors,et al. Distance transformations in digital images , 1986, Comput. Vis. Graph. Image Process..
[11] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[12] Shuiwang Ji,et al. Global Pixel Transformers for Virtual Staining of Microscopy Images , 2019, IEEE Transactions on Medical Imaging.
[13] Kaiming He,et al. Improved Baselines with Momentum Contrastive Learning , 2020, ArXiv.
[14] Samuel J. Yang,et al. In Silico Labeling: Predicting Fluorescent Labels in Unlabeled Images , 2018, Cell.
[15] Hao Yuan,et al. Learning Local and Global Multi-context Representations for Document Classification , 2019, 2019 IEEE International Conference on Data Mining (ICDM).
[16] Trevor Darrell,et al. Fully Convolutional Networks for Semantic Segmentation , 2017, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[17] Sepp Hochreiter,et al. Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs) , 2015, ICLR.
[18] Lukasz Kaiser,et al. Attention is All you Need , 2017, NIPS.
[19] Seyed-Ahmad Ahmadi,et al. Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional Neural Networks and 3D Conditional Random Fields , 2016, MICCAI.
[20] Roberto Cipolla,et al. SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation , 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[21] Stephan Saalfeld,et al. Synaptic Cleft Segmentation in Non-Isotropic Volume Electron Microscopy of the Complete Drosophila Brain , 2018, MICCAI.
[22] Shuiwang Ji,et al. Deep Learning Segmentation of Optical Microscopy Images Improves 3-D Neuron Reconstruction , 2017, IEEE Transactions on Medical Imaging.
[23] Shuiwang Ji,et al. Residual Deconvolutional Networks for Brain Electron Microscopy Image Segmentation , 2017, IEEE Transactions on Medical Imaging.
[24] Matthias Bethge,et al. ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness , 2018, ICLR.
[25] Thomas Brox,et al. 3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation , 2016, MICCAI.
[26] Diyi Yang,et al. Hierarchical Attention Networks for Document Classification , 2016, NAACL.
[27] Enhua Wu,et al. Squeeze-and-Excitation Networks , 2017, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[28] Sébastien Ourselin,et al. Interactive Medical Image Segmentation Using Deep Learning With Image-Specific Fine Tuning , 2017, IEEE Transactions on Medical Imaging.
[29] Suyash P. Awate,et al. Computer Vision, Graphics, and Image Processing , 2016, Lecture Notes in Computer Science.
[30] Jian Sun,et al. Identity Mappings in Deep Residual Networks , 2016, ECCV.
[31] Abhinav Gupta,et al. Non-local Neural Networks , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[32] Loïc Le Folgoc,et al. Attention U-Net: Learning Where to Look for the Pancreas , 2018, ArXiv.
[33] Han Zhang,et al. Self-Attention Generative Adversarial Networks , 2018, ICML.
[34] Yong Yin,et al. Shape-Aware Organ Segmentation by Predicting Signed Distance Maps , 2019, AAAI.
[35] Jimmy Ba,et al. Adam: A Method for Stochastic Optimization , 2014, ICLR.
[36] Wei-Chung Allen Lee,et al. Automatic Detection of Synaptic Partners in a Whole-Brain Drosophila EM Dataset , 2019, bioRxiv.
[37] Thomas Brox,et al. U-Net: Convolutional Networks for Biomedical Image Segmentation , 2015, MICCAI.
[38] Pascal Fua,et al. Learning Context Cues for Synapse Segmentation , 2013, IEEE Transactions on Medical Imaging.
[39] Casey M. Schneider-Mizell,et al. Binary and analog variation of synapses between cortical pyramidal neurons , 2019, bioRxiv.
[40] Fred A. Hamprecht,et al. Automated Detection and Segmentation of Synaptic Contacts in Nearly Isotropic Serial Electron Microscopy Images , 2011, PloS one.
[41] Dinggang Shen,et al. Voxel Deconvolutional Networks for 3D Brain Image Labeling , 2018, KDD.
[42] 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).
[43] Liu,et al. MitoEM Dataset: Large-Scale 3D Mitochondria Instance Segmentation from EM Images , 2020, MICCAI.
[44] H. Sebastian Seung,et al. Convolutional nets for reconstructing neural circuits from brain images acquired by serial section electron microscopy , 2019, Current Opinion in Neurobiology.
[45] Bian Wu,et al. DeepEM3D: approaching human‐level performance on 3D anisotropic EM image segmentation , 2017, Bioinform..
[46] Eric T. Trautman,et al. A Complete Electron Microscopy Volume of the Brain of Adult Drosophila melanogaster , 2017, Cell.
[47] Dinggang Shen,et al. Non-Local U-Nets for Biomedical Image Segmentation , 2020, AAAI.