Projects per year
Fingerprint Dive into the research topics where H. Sebastian Seung is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
Neurons
Medicine & Life Sciences
Connectome
Medicine & Life Sciences
Learning
Medicine & Life Sciences
Brain
Medicine & Life Sciences
learning
Physics & Astronomy
Synapses
Medicine & Life Sciences
Nerve Net
Medicine & Life Sciences
neurons
Physics & Astronomy
Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
Projects 2014 2021
electron
Frontiers in Human Brain Mapping: Imaging, Big Data, and Computation
8/1/14 → 7/31/15
Project: Research project
Brain Mapping
Neuroimaging
Research Output 1988 2020
PZnet: Efficient 3D ConvNet Inference on Manycore CPUs
Popovych, S., Buniatyan, D., Zlateski, A., Li, K. & Seung, H. S., Jan 1 2020, Advances in Computer Vision - Proceedings of the 2019 Computer Vision Conference CVC. Kapoor, S. & Arai, K. (eds.). Springer Verlag, p. 369-383 15 p. (Advances in Intelligent Systems and Computing; vol. 943).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Program processors
Convolution
Magnetic resonance imaging
Image analysis
Microscopic examination
Weakly Supervised Deep Metric Learning for Template Matching
Buniatyan, D., Popovych, S., Ih, D., Macrina, T., Zung, J. & Seung, H. S., Jan 1 2020, Advances in Computer Vision - Proceedings of the 2019 Computer Vision Conference CVC. Kapoor, S. & Arai, K. (eds.). Springer Verlag, p. 39-58 20 p. (Advances in Intelligent Systems and Computing; vol. 943).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Template matching
Supervised learning
Bandpass filters
Learning algorithms
Computer vision
1
Citation
(Scopus)
Convolutional nets for reconstructing neural circuits from brain images acquired by serial section electron microscopy
Lee, K., Turner, N., Macrina, T., Wu, J., Lu, R. & Seung, H. S., Apr 2019, In : Current Opinion in Neurobiology. 55, p. 188-198 11 p.Research output: Contribution to journal › Review article
Electron Microscopy
Neuronal Plasticity
Automation
Brain
Synapses
Learning metric graphs for neuron segmentation in electron microscopy images
Luther, K. & Seung, H. S., Apr 2019, ISBI 2019 - 2019 IEEE International Symposium on Biomedical Imaging. IEEE Computer Society, p. 244-248 5 p. 8759576. (Proceedings - International Symposium on Biomedical Imaging; vol. 2019-April).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Electron microscopy
Neurons
Electron Microscopy
Learning
Noise
Reconstructing neuronal anatomy from whole-brain images
Gornet, J., Venkataraju, K. U., Narasimhan, A., Turner, N., Lee, K., Seung, H. S., Osten, P. & Sumbul, U., Apr 2019, ISBI 2019 - 2019 IEEE International Symposium on Biomedical Imaging. IEEE Computer Society, p. 218-222 5 p. 8759197. (Proceedings - International Symposium on Biomedical Imaging; vol. 2019-April).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Brain
Anatomy
Microscopy
Light
Neuroanatomy