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Kisuk Lee
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2020 – today
- 2021
- [j2]Kisuk Lee
, Ran Lu, Kyle Luther, H. Sebastian Seung:
Learning and Segmenting Dense Voxel Embeddings for 3D Neuron Reconstruction. IEEE Trans. Medical Imaging 40(12): 3801-3811 (2021) - [c8]Donglai Wei, Kisuk Lee, Hanyu Li
AxonEM Dataset: 3D Axon Instance Segmentation of Brain Cortical Regions. MICCAI (1) 2021: 175-185 - [i10]Donglai Wei, Kisuk Lee, Hanyu Li, Ran Lu, J. Alexander Bae, Zequan Liu, Lifu Zhang, Márcia dos Santos, Zudi Lin, Thomas D. Uram, Xueying Wang, Ignacio Arganda-Carreras, Brian Matejek, Narayanan Kasthuri, Jeff Lichtman, Hanspeter Pfister:
AxonEM Dataset: 3D Axon Instance Segmentation of Brain Cortical Regions. CoRR abs/2107.05451 (2021) - 2020
- [c7]Nicholas L. Turner, Kisuk Lee, Ran Lu, Jingpeng Wu
Synaptic Partner Assignment Using Attentional Voxel Association Networks. ISBI 2020: 1-5 - [i9]Sharmishtaa Seshamani, Leila Elabbady, Casey Schneider-Mizell, Gayathri Mahalingam, Sven Dorkenwald, Agnes Bodor, Thomas Macrina, Daniel Bumbarger, JoAnn Buchanan, Marc Takeno, Wenjing Yin, Derrick Brittain, Russel Torres, Daniel Kapner, Kisuk Lee, Ran Lu, Jingpeng Wu, Nuno daCosta, R. Clay Reid, Forrest Collman:
Automated Neuron Shape Analysis from Electron Microscopy. CoRR abs/2006.00100 (2020)
2010 – 2019
- 2019
- [c6]Hangkee Kim, Kisuk Lee, Dong-Chun Lee, Nakhoon Baek:
3D Reconstruction of Leg Bones from X-Ray Images using CNN-based Feature Analysis. ICTC 2019: 669-672 - [c5]James Gornet
Reconstructing Neuronal Anatomy from Whole-Brain Images. ISBI 2019: 218-222 - [i8]James Gornet, Kannan Umadevi Venkataraju, Arun Narasimhan, Nicholas L. Turner, Kisuk Lee, H. Sebastian Seung, Pavel Osten, Uygar Sümbül:
Reconstructing neuronal anatomy from whole-brain images. CoRR abs/1903.07027 (2019) - [i7]Nicholas L. Turner, Kisuk Lee, Ran Lu, Jingpeng Wu, Dodam Ih, H. Sebastian Seung:
Synaptic Partner Assignment Using Attentional Voxel Association Networks. CoRR abs/1904.09947 (2019) - [i6]Kisuk Lee, Nicholas L. Turner, Thomas Macrina, Jingpeng Wu, Ran Lu, H. Sebastian Seung:
Convolutional nets for reconstructing neural circuits from brain images acquired by serial section electron microscopy. CoRR abs/1904.12966 (2019) - [i5]Kisuk Lee, Ran Lu
Learning Dense Voxel Embeddings for 3D Neuron Reconstruction. CoRR abs/1909.09872 (2019) - 2017
- [j1]Aleksandar Zlateski, Kisuk Lee, H. Sebastian Seung:
Scalable training of 3D convolutional networks on multi- and many-cores. J. Parallel Distributed Comput. 106: 195-204 (2017) - [c4]Jonathan Zung, Ignacio Tartavull, Kisuk Lee, H. Sebastian Seung:
An Error Detection and Correction Framework for Connectomics. NIPS 2017: 6818-6829 - [i4]Kisuk Lee, Jonathan Zung, Peter Li, Viren Jain, H. Sebastian Seung:
Superhuman Accuracy on the SNEMI3D Connectomics Challenge. CoRR abs/1706.00120 (2017) - 2016
- [c3]Aleksandar Zlateski, Kisuk Lee, H. Sebastian Seung:
ZNN - A Fast and Scalable Algorithm for Training 3D Convolutional Networks on Multi-core and Many-Core Shared Memory Machines. IPDPS 2016: 801-811 - [c2]Aleksandar Zlateski, Kisuk Lee, H. Sebastian Seung:
ZNNi: maximizing the inference throughput of 3D convolutional networks on CPUs and GPUs. SC 2016: 854-865 - [i3]Aleksandar Zlateski, Kisuk Lee, H. Sebastian Seung:
ZNNi - Maximizing the Inference Throughput of 3D Convolutional Networks on Multi-Core CPUs and GPUs. CoRR abs/1606.05688 (2016) - 2015
- [c1]Kisuk Lee, Aleksandar Zlateski, Ashwin Vishwanathan, H. Sebastian Seung:
Recursive Training of 2D-3D Convolutional Networks for Neuronal Boundary Prediction. NIPS 2015: 3573-3581 - [i2]Kisuk Lee, Aleksandar Zlateski, Ashwin Vishwanathan, H. Sebastian Seung:
Recursive Training of 2D-3D Convolutional Networks for Neuronal Boundary Detection. CoRR abs/1508.04843 (2015) - [i1]Aleksandar Zlateski, Kisuk Lee, H. Sebastian Seung:
ZNN - A Fast and Scalable Algorithm for Training 3D Convolutional Networks on Multi-Core and Many-Core Shared Memory Machines. CoRR abs/1510.06706 (2015)
Coauthor Index
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