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Superhuman Accuracy on the SNEMI3D Connectomics Challenge

Superhuman Accuracy on the SNEMI3D Connectomics Challenge

31 May 2017
Kisuk Lee
J. Zung
Peter H. Li
Viren Jain
H. S. Seung
    3DV
ArXiv (abs)PDFHTML

Papers citing "Superhuman Accuracy on the SNEMI3D Connectomics Challenge"

41 / 91 papers shown
Title
Recurrent neural circuits for contour detection
Recurrent neural circuits for contour detection
Drew Linsley
Junkyung Kim
A. Ashok
Thomas Serre
88
45
0
29 Oct 2020
Medical Image Segmentation Using Deep Learning: A Survey
Medical Image Segmentation Using Deep Learning: A Survey
Risheng Wang
Tao Lei
Xiaogang Du
Yong Wan
Hongying Meng
Asoke K. Nandi
SSegOOD
115
579
0
28 Sep 2020
Microtubule Tracking in Electron Microscopy Volumes
Microtubule Tracking in Electron Microscopy Volumes
N. Eckstein
Julia M. Buhmann
Matthew Cook
Jan Funke
31
6
0
17 Sep 2020
Review: Deep Learning in Electron Microscopy
Review: Deep Learning in Electron Microscopy
Jeffrey M. Ede
197
80
0
17 Sep 2020
Proposal-Free Volumetric Instance Segmentation from Latent
  Single-Instance Masks
Proposal-Free Volumetric Instance Segmentation from Latent Single-Instance Masks
Alberto Bailoni
Constantin Pape
Steffen Wolf
Anna Kreshuk
Fred Hamprecht
ISeg
77
7
0
10 Sep 2020
Global Voxel Transformer Networks for Augmented Microscopy
Global Voxel Transformer Networks for Augmented Microscopy
Zhengyang Wang
Yaochen Xie
Shuiwang Ji
ViT
37
34
0
05 Aug 2020
Seeing eye-to-eye? A comparison of object recognition performance in
  humans and deep convolutional neural networks under image manipulation
Seeing eye-to-eye? A comparison of object recognition performance in humans and deep convolutional neural networks under image manipulation
Leonard E. van Dyck
W. Gruber
63
3
0
13 Jul 2020
Deep Residual 3D U-Net for Joint Segmentation and Texture Classification
  of Nodules in Lung
Deep Residual 3D U-Net for Joint Segmentation and Texture Classification of Nodules in Lung
Alexandr G. Rassadin
MedIm
88
8
0
25 Jun 2020
Automated Chest CT Image Segmentation of COVID-19 Lung Infection based
  on 3D U-Net
Automated Chest CT Image Segmentation of COVID-19 Lung Infection based on 3D U-Net
Dominik Muller
Iñaki Soto Rey
Frank Kramer
53
70
0
24 Jun 2020
Self-Supervised Feature Extraction for 3D Axon Segmentation
Self-Supervised Feature Extraction for 3D Axon Segmentation
Tzofi Klinghoffer
Peter Morales
Young-Gyun Park
Nicholas Evans
Kwanghun Chung
L. Brattain
3DPC
59
16
0
20 Apr 2020
The Semantic Mutex Watershed for Efficient Bottom-Up Semantic Instance
  Segmentation
The Semantic Mutex Watershed for Efficient Bottom-Up Semantic Instance Segmentation
Steffen Wolf
Yu-yang Li
Constantin Pape
Alberto Bailoni
Anna Kreshuk
Fred Hamprecht
48
12
0
29 Dec 2019
Extracting 2D weak labels from volume labels using multiple instance
  learning in CT hemorrhage detection
Extracting 2D weak labels from volume labels using multiple instance learning in CT hemorrhage detection
Samuel W. Remedios
Zihao Wu
Camilo Bermudez
Cailey I. Kerley
Snehashis Roy
Mayur B. Patel
J. Butman
Bennett A. Landman
Dzung L. Pham
47
8
0
13 Nov 2019
Assisting human experts in the interpretation of their visual process: A
  case study on assessing copper surface adhesive potency
Assisting human experts in the interpretation of their visual process: A case study on assessing copper surface adhesive potency
T. Hascoet
Xuejiao Deng
Daniela Mihai
Mari Sugiyama
Yuji Adachi
Sachiko Nakamura
Jonathon S. Hare
Tomoko Hayashi
T. Takiguchi
15
1
0
24 Oct 2019
MIScnn: A Framework for Medical Image Segmentation with Convolutional
  Neural Networks and Deep Learning
MIScnn: A Framework for Medical Image Segmentation with Convolutional Neural Networks and Deep Learning
Dominik Muller
Frank Kramer
51
120
0
21 Oct 2019
Learning and Segmenting Dense Voxel Embeddings for 3D Neuron
  Reconstruction
Learning and Segmenting Dense Voxel Embeddings for 3D Neuron Reconstruction
Kisuk Lee
R. Lu
Kyle L. Luther
H. S. Seung
3DV
68
23
0
21 Sep 2019
GASP, a generalized framework for agglomerative clustering of signed
  graphs and its application to Instance Segmentation
GASP, a generalized framework for agglomerative clustering of signed graphs and its application to Instance Segmentation
Alberto Bailoni
Constantin Pape
Nathan Hütsch
Steffen Wolf
T. Beier
Anna Kreshuk
Fred Hamprecht
72
12
0
27 Jun 2019
Disentangling neural mechanisms for perceptual grouping
Disentangling neural mechanisms for perceptual grouping
Junkyung Kim
Drew Linsley
Kalpit C. Thakkar
Thomas Serre
OCL
115
54
0
04 Jun 2019
A Hierarchical Probabilistic U-Net for Modeling Multi-Scale Ambiguities
A Hierarchical Probabilistic U-Net for Modeling Multi-Scale Ambiguities
Simon A. A. Kohl
Bernardino Romera-Paredes
Klaus H. Maier-Hein
Danilo Jimenez Rezende
S. M. Ali Eslami
Pushmeet Kohli
Andrew Zisserman
Olaf Ronneberger
BDL
84
88
0
30 May 2019
HadaNets: Flexible Quantization Strategies for Neural Networks
HadaNets: Flexible Quantization Strategies for Neural Networks
Yash Akhauri
MQ
38
7
0
26 May 2019
Leveraging Domain Knowledge to Improve Microscopy Image Segmentation
  with Lifted Multicuts
Leveraging Domain Knowledge to Improve Microscopy Image Segmentation with Lifted Multicuts
Constantin Pape
A. Matskevych
A. Wolny
Julian Hennies
Giulia Mizzon
Marion Louveaux
J. Musser
A. Maizel
D. Arendt
Anna Kreshuk
75
20
0
25 May 2019
End-to-End Learned Random Walker for Seeded Image Segmentation
End-to-End Learned Random Walker for Seeded Image Segmentation
Lorenzo Cerrone
Alexander Zeilmann
Fred Hamprecht
73
20
0
22 May 2019
Boundary Learning by Using Weighted Propagation in Convolution Network
Boundary Learning by Using Weighted Propagation in Convolution Network
Boyuan Ma
Chuni Liu
Xiaoyan Wei
Hao Wang
Boyuan Ma
Haiyou Huang
Weihua Xue
Yu Guo
24
16
0
22 May 2019
Scaling Distributed Training of Flood-Filling Networks on HPC
  Infrastructure for Brain Mapping
Scaling Distributed Training of Flood-Filling Networks on HPC Infrastructure for Brain Mapping
Wu Dong
Murat Keçeli
Rafael Vescovi
Hanyu Li
Corey Adams
...
T. Uram
V. Vishwanath
N. Ferrier
B. Kasthuri
P. Littlewood
FedMLAI4CE
40
9
0
13 May 2019
Convolutional nets for reconstructing neural circuits from brain images
  acquired by serial section electron microscopy
Convolutional nets for reconstructing neural circuits from brain images acquired by serial section electron microscopy
Kisuk Lee
N. Turner
T. Macrina
Jingpeng Wu
R. Lu
H. S. Seung
54
52
0
29 Apr 2019
The Mutex Watershed and its Objective: Efficient, Parameter-Free Graph
  Partitioning
The Mutex Watershed and its Objective: Efficient, Parameter-Free Graph Partitioning
Steffen Wolf
Alberto Bailoni
Constantin Pape
Nasim Rahaman
Anna Kreshuk
Ullrich Kothe
Fred Hamprecht
80
8
0
25 Apr 2019
Chunkflow: Distributed Hybrid Cloud Processing of Large 3D Images by
  Convolutional Nets
Chunkflow: Distributed Hybrid Cloud Processing of Large 3D Images by Convolutional Nets
Jingpeng Wu
W. Silversmith
Kisuk Lee
H. S. Seung
3DPC
44
12
0
23 Apr 2019
Synaptic Partner Assignment Using Attentional Voxel Association Networks
Synaptic Partner Assignment Using Attentional Voxel Association Networks
N. Turner
Kisuk Lee
R. Lu
Jingpeng Wu
Dodam Ih
H. S. Seung
51
33
0
22 Apr 2019
PZnet: Efficient 3D ConvNet Inference on Manycore CPUs
PZnet: Efficient 3D ConvNet Inference on Manycore CPUs
S. Popovych
Davit Buniatyan
A. Zlateski
Kai Li
H. S. Seung
35
8
0
18 Mar 2019
Reconstructing neuronal anatomy from whole-brain images
Reconstructing neuronal anatomy from whole-brain images
James Gornet
K. Venkataraju
Arun Narasimhan
N. Turner
Kisuk Lee
H. S. Seung
P. Osten
U. Sümbül
18
12
0
17 Mar 2019
Learning Metric Graphs for Neuron Segmentation In Electron Microscopy
  Images
Learning Metric Graphs for Neuron Segmentation In Electron Microscopy Images
Kyle L. Luther
Sebastian Seung
52
9
0
31 Jan 2019
Fast Mitochondria Detection for Connectomics
Fast Mitochondria Detection for Connectomics
Vincent Casser
Kai Kang
Hanspeter Pfister
D. Haehn
50
15
0
14 Dec 2018
Non-local U-Net for Biomedical Image Segmentation
Non-local U-Net for Biomedical Image Segmentation
Zhengyang Wang
Na Zou
Dinggang Shen
Shuiwang Ji
SSeg
25
6
0
10 Dec 2018
Cross-Classification Clustering: An Efficient Multi-Object Tracking
  Technique for 3-D Instance Segmentation in Connectomics
Cross-Classification Clustering: An Efficient Multi-Object Tracking Technique for 3-D Instance Segmentation in Connectomics
Yaron Meirovitch
Lu Mi
Hayk Saribekyan
A. Matveev
David Rolnick
Nir Shavit
70
39
0
04 Dec 2018
Robust neural circuit reconstruction from serial electron microscopy
  with convolutional recurrent networks
Robust neural circuit reconstruction from serial electron microscopy with convolutional recurrent networks
Drew Linsley
Junkyung Kim
D. Berson
Thomas Serre
3DV
116
17
0
28 Nov 2018
Parallel Separable 3D Convolution for Video and Volumetric Data
  Understanding
Parallel Separable 3D Convolution for Video and Volumetric Data Understanding
Felix Gonda
D. Wei
T. Parag
Hanspeter Pfister
3DPC
47
20
0
11 Sep 2018
Improving Electron Micrograph Signal-to-Noise with an Atrous
  Convolutional Encoder-Decoder
Improving Electron Micrograph Signal-to-Noise with an Atrous Convolutional Encoder-Decoder
Jeffrey M. Ede
35
1
0
30 Jul 2018
Detecting Synapse Location and Connectivity by Signed Proximity
  Estimation and Pruning with Deep Nets
Detecting Synapse Location and Connectivity by Signed Proximity Estimation and Pruning with Deep Nets
T. Parag
Daniel R. Berger
L. Kamentsky
B. Staffler
D. Wei
M. Helmstaedter
J. Lichtman
Hanspeter Pfister
52
11
0
08 Jul 2018
Synaptic Cleft Segmentation in Non-Isotropic Volume Electron Microscopy
  of the Complete Drosophila Brain
Synaptic Cleft Segmentation in Non-Isotropic Volume Electron Microscopy of the Complete Drosophila Brain
Larissa Heinrich
Jan Funke
Constantin Pape
Juan Nunez-Iglesias
S. Saalfeld
3DV
60
84
0
07 May 2018
3D Anisotropic Hybrid Network: Transferring Convolutional Features from
  2D Images to 3D Anisotropic Volumes
3D Anisotropic Hybrid Network: Transferring Convolutional Features from 2D Images to 3D Anisotropic Volumes
Siqi Liu
Daguang Xu
S. Kevin Zhou
T. Mertelmeier
Julia Wicklein
A. Jerebko
Sasa Grbic
Olivier Pauly
Weidong (Tom) Cai
Dorin Comaniciu
MedIm
73
146
0
23 Nov 2017
RADNET: Radiologist Level Accuracy using Deep Learning for HEMORRHAGE
  detection in CT Scans
RADNET: Radiologist Level Accuracy using Deep Learning for HEMORRHAGE detection in CT Scans
Monika Grewal
Muktabh Mayank Srivastava
Pulkit Kumar
Srikrishna Varadarajan
MedIm
87
197
0
13 Oct 2017
An Error Detection and Correction Framework for Connectomics
An Error Detection and Correction Framework for Connectomics
J. Zung
Ignacio Tartavull
Kisuk Lee
H. S. Seung
3DV
71
44
0
08 Aug 2017
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