Kisuk Lee
Kisuk Lee
Princeton Neuroscience Institute
Verified email at princeton.edu - Homepage
Title
Cited by
Cited by
Year
Space–time wiring specificity supports direction selectivity in the retina
JS Kim, MJ Greene, A Zlateski, K Lee, M Richardson, SC Turaga, ...
Nature 509 (7500), 331-336, 2014
3842014
Measurement of the production cross section for a W boson and two b jets in pp collisions at s= 7 TeV
S Chatrchyan, V Khachatryan, AM Sirunyan, A Tumasyan, W Adam, ...
Physics Letters B 735, 204-225, 2014
902014
Superhuman accuracy on the SNEMI3D connectomics challenge
K Lee, J Zung, P Li, V Jain, HS Seung
arXiv preprint arXiv:1706.00120, 2017
872017
Measurement of the production cross section of a W boson in association with two b jets in pp collisions at s …
V Khachatryan, AM Sirunyan, A Tumasyan, W Adam, E Asilar, T Bergauer, ...
The European Physical Journal C 77 (2), 1-23, 2017
832017
Recursive training of 2d-3d convolutional networks for neuronal boundary detection
K Lee, A Zlateski, A Vishwanathan, HS Seung
arXiv preprint arXiv:1508.04843, 2015
732015
Measurement of electroweak-induced production of Wγ with two jets in pp collisions at s = 8 TeV and constraints on …
V Khachatryan, AM Sirunyan, A Tumasyan, W Adam, E Asilar, T Bergauer, ...
Journal of High Energy Physics 2017 (6), 1-42, 2017
692017
ZNN--A Fast and Scalable Algorithm for Training 3D Convolutional Networks on Multi-core and Many-Core Shared Memory Machines
A Zlateski, K Lee, HS Seung
2016 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2016
432016
An Error Detection and Correction Framework for Connectomics
J Zung, I Tartavull, K Lee, HS Seung
Advances in Neural Information Processing Systems, 6802-6813, 2017
222017
ZNNi: maximizing the inference throughput of 3D convolutional networks on CPUs and GPUs
A Zlateski, K Lee, HS Seung
SC'16: Proceedings of the International Conference for High Performance …, 2016
212016
Convolutional nets for reconstructing neural circuits from brain images acquired by serial section electron microscopy
K Lee, N Turner, T Macrina, J Wu, R Lu, HS Seung
Current opinion in neurobiology 55, 188-198, 2019
162019
Binary and analog variation of synapses between cortical pyramidal neurons
S Dorkenwald, NL Turner, T Macrina, K Lee, R Lu, J Wu, AL Bodor, ...
BioRxiv, 2019
112019
Scalable training of 3D convolutional networks on multi-and many-cores
A Zlateski, K Lee, HS Seung
Journal of Parallel and Distributed Computing 106, 195-204, 2017
92017
Synaptic partner assignment using attentional voxel association networks
NL Turner, K Lee, R Lu, J Wu, D Ih, HS Seung
2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 1-5, 2020
82020
Chandelier cell anatomy and function reveal a variably distributed but common signal
CM Schneider-Mizell, AL Bodor, F Collman, D Brittain, AA Bleckert, ...
bioRxiv, 2020
82020
The neural basis for a persistent internal state in Drosophila females
D Deutsch, D Pacheco, L Encarnacion-Rivera, T Pereira, R Fathy, ...
Elife 9, e59502, 2020
72020
FlyWire: Online community for whole-brain connectomics
S Dorkenwald, C McKellar, T Macrina, N Kemnitz, K Lee, R Lu, J Wu, ...
bioRxiv, 2020
62020
Chunkflow: Distributed hybrid cloud processing of large 3d images by convolutional nets
J Wu, WM Silversmith, K Lee, HS Seung
arXiv preprint arXiv:1904.10489, 2019
62019
Reconstructing neuronal anatomy from whole-brain images
J Gornet, KU Venkataraju, A Narasimhan, N Turner, K Lee, HS Seung, ...
2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019 …, 2019
52019
Learning Dense Voxel Embeddings for 3D Neuron Reconstruction
K Lee, R Lu, K Luther, HS Seung
arXiv preprint arXiv:1909.09872, 2019
42019
Multiscale and multimodal reconstruction of cortical structure and function
NL Turner, T Macrina, JA Bae, R Yang, AM Wilson, C Schneider-Mizell, ...
bioRxiv, 2020
22020
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Articles 1–20