Kisuk Lee - RankMe

22 papers A 2Journal 12Unranked 8

Year	Rank	Type	Title / Venue / Authors
2024	—	`conf`	Building Knowledge Base of 3D Object Assets Using Multimodal LLM AI Model. ICTC SooHyung Lee, WooSu Park, Kisuk Lee
2023	—	`conf`	Knowledge Generation Pipeline using LLM for Building 3D Object Knowledge Base. ICTC SooHyung Lee, Hyerin Lee, Kisuk Lee
2021	—	`conf`	AxonEM Dataset: 3D Axon Instance Segmentation of Brain Cortical Regions. MICCAI (1) 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
2021	J	`jnl`	AxonEM Dataset: 3D Axon Instance Segmentation of Brain Cortical Regions. CoRR 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
2021	J	`jnl`	Learning and Segmenting Dense Voxel Embeddings for 3D Neuron Reconstruction. IEEE Trans. Medical Imaging Kisuk Lee, Ran Lu, Kyle Luther, H. Sebastian Seung
2020	J	`jnl`	Automated Neuron Shape Analysis from Electron Microscopy. CoRR 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
2020	—	`conf`	Synaptic Partner Assignment Using Attentional Voxel Association Networks. ISBI Nicholas L. Turner, Kisuk Lee, Ran Lu, Jingpeng Wu, Dodam Ih, H. Sebastian Seung
2019	—	`conf`	3D Reconstruction of Leg Bones from X-Ray Images using CNN-based Feature Analysis. ICTC Hangkee Kim, Kisuk Lee, Dong-Chun Lee, Nakhoon Baek
2019	J	`jnl`	Convolutional nets for reconstructing neural circuits from brain images acquired by serial section electron microscopy. CoRR Kisuk Lee, Nicholas L. Turner, Thomas Macrina, Jingpeng Wu, Ran Lu, H. Sebastian Seung
2019	J	`jnl`	Learning Dense Voxel Embeddings for 3D Neuron Reconstruction. CoRR Kisuk Lee, Ran Lu, Kyle Luther, H. Sebastian Seung
2019	—	`conf`	Reconstructing Neuronal Anatomy from Whole-Brain Images. ISBI James Gornet, Kannan Umadevi Venkataraju, Arun Narasimhan, Nicholas L. Turner, Kisuk Lee, H. Sebastian Seung, Pavel Osten, Uygar Sümbül
2019	J	`jnl`	Reconstructing neuronal anatomy from whole-brain images. CoRR James Gornet, Kannan Umadevi Venkataraju, Arun Narasimhan, Nicholas L. Turner, Kisuk Lee, H. Sebastian Seung, Pavel Osten, Uygar Sümbül
2019	J	`jnl`	Synaptic Partner Assignment Using Attentional Voxel Association Networks. CoRR Nicholas L. Turner, Kisuk Lee, Ran Lu, Jingpeng Wu, Dodam Ih, H. Sebastian Seung
2017	—	`conf`	An Error Detection and Correction Framework for Connectomics. NIPS Jonathan Zung, Ignacio Tartavull, Kisuk Lee, H. Sebastian Seung
2017	J	`jnl`	Scalable training of 3D convolutional networks on multi- and many-cores. J. Parallel Distributed Comput. Aleksandar Zlateski, Kisuk Lee, H. Sebastian Seung
2017	J	`jnl`	Superhuman Accuracy on the SNEMI3D Connectomics Challenge. CoRR Kisuk Lee, Jonathan Zung, Peter Li, Viren Jain, H. Sebastian Seung
2016	A	`conf`	ZNN SC Aleksandar Zlateski, Kisuk Lee, H. Sebastian Seung
2016	A	`conf`	ZNN - A Fast and Scalable Algorithm for Training 3D Convolutional Networks on Multi-core and Many-Core Shared Memory Machines. IPDPS Aleksandar Zlateski, Kisuk Lee, H. Sebastian Seung
2016	J	`jnl`	ZNNi - Maximizing the Inference Throughput of 3D Convolutional Networks on Multi-Core CPUs and GPUs. CoRR Aleksandar Zlateski, Kisuk Lee, H. Sebastian Seung
2015	J	`jnl`	Recursive Training of 2D-3D Convolutional Networks for Neuronal Boundary Detection. CoRR Kisuk Lee, Aleksandar Zlateski, Ashwin Vishwanathan, H. Sebastian Seung
2015	—	`conf`	Recursive Training of 2D-3D Convolutional Networks for Neuronal Boundary Prediction. NIPS Kisuk Lee, Aleksandar Zlateski, Ashwin Vishwanathan, H. Sebastian Seung
2015	J	`jnl`	ZNN - A Fast and Scalable Algorithm for Training 3D Convolutional Networks on Multi-Core and Many-Core Shared Memory Machines. CoRR Aleksandar Zlateski, Kisuk Lee, H. Sebastian Seung