Browsing by Author Seung, H Sebastian
Showing results 1 to 15 of 15
Publication Date | Article Title | Author(s) |
---|---|---|
25-Nov-2014 | Automated computation of arbor densities: a step toward identifying neuronal cell types | Sümbül, Uygar; Zlateski, Aleksandar; Vishwanathan, Ashwin; Masland, Richard H; Seung, H Sebastian |
2021 | Chunkflow: hybrid cloud processing of large 3D images by convolutional nets | Wu, Jingpeng; Silversmith, William M; Lee, Kisuk; Seung, H Sebastian |
Apr-2019 | Convolutional nets for reconstructing neural circuits from brain images acquired by serial section electron microscopy | Lee, Kisuk; Turner, Nicholas; Macrina, Thomas; Wu, Jingpeng; Lu, Ran; et al |
2015 | Crowdsourcing the creation of image segmentation algorithms for connectomics | Arganda-Carreras, Ignacio; Turaga, Srinivas C; Berger, Daniel R; Cireşan, Dan; Giusti, Alessandro; et al |
2018 | Digital Museum of Retinal Ganglion Cells with Dense Anatomy and Physiology | Bae, J Alexander; Mu, Shang; Kim, Jinseop S; Turner, Nicholas L; Tartavull, Ignacio; et al |
2017 | Electron Microscopic Reconstruction of Functionally Identified Cells in a Neural Integrator | Vishwanathan, Ashwin; Daie, Kayvon; Ramirez, Alexandro D; Lichtman, Jeff W; Aksay, Emre RF; et al |
2017 | An Error Detection and Correction Framework for Connectomics | Zung, Jonathan; Tartavull, Ignacio; Lee, Kisuk; Seung, H Sebastian |
2019 | Learning Metric Graphs for Neuron Segmentation in Electron Microscopy Images | Luther, Kyle; Seung, H Sebastian |
23-Nov-2020 | The neural basis for a persistent internal state in Drosophila females | Deutsch, David; Pacheco, Diego; Encarnacion-Rivera, Lucas; Pereira, Talmo; Fathy, Ramie; et al |
2020 | PZnet: Efficient 3D ConvNet Inference on Manycore CPUs | Popovych, Sergiy; Buniatyan, Davit; Zlateski, Aleksandar; Li, Kai; Seung, H Sebastian |
2019 | Reconstructing Neuronal Anatomy from Whole-Brain Images | Gornet, James; Venkataraju, Kannan U; Narasimhan, Arun; Turner, Nicholas; Lee, Kisuk; et al |
2020 | Synaptic Partner Assignment Using Attentional Voxel Association Networks | Turner, Nicholas L; Lee, Kisuk; Lu, Ran; Wu, Jingpeng; Ih, Dodam; et al |
1-Aug-2017 | Trainable Weka Segmentation: a machine learning tool for microscopy pixel classification | Arganda-Carreras, Ignacio; Kaynig, Verena; Rueden, Curtis; Eliceiri, Kevin W; Schindelin, Johannes; et al |
2019 | Unsupervised learning by a "softened" correlation game: duality and convergence | Luther, Kyle L; Yang, Runzhe; Seung, H Sebastian |
16-Oct-2018 | VAST (Volume Annotation and Segmentation Tool): Efficient Manual and Semi-Automatic Labeling of Large 3D Image Stacks | Berger, Daniel R; Seung, H Sebastian; Lichtman, Jeff W |