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Neuron segmentation from electron microscopy (EM) volumes is crucial for understanding brain circuits, yet the complex neuronal structures in high-resolution EM images present significant challenges.
An efficient heuristic procedure for partitioning graphs
Brian W Kernighan and Shen Lin · 1970
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Kodak lossless true color image suite (photocd pcd0992), 1993
E. Kodak · 1993
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Maximin affinity learning of image segmentation
Kevin Briggman, Winfried Denk, Sebastian Seung, Moritz Helmstaedter, and Srinivas C Turaga · 2009
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Convolutional networks can learn to generate affinity graphs for image segmentation
Srinivas C Turaga, Joseph F Murray, Viren Jain, Fabian Roth, Moritz Helmstaedter, Kevin Briggman, Winfried Denk, and H Sebastian Seung · 2010
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Machine learning of hierarchical clustering to segment 2d and 3d images
Juan Nunez-Iglesias, Ryan Kennedy, Toufiq Parag, Jianbo Shi, and Dmitri B Chklovskii · 2013
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Crowdsourcing the creation of image segmentation algorithms for connectomics
Ignacio Arganda-Carreras, Srinivas C Turaga, Daniel R Berger, Dan Cireşan, Alessandro Giusti, Luca M Gambardella, Jürgen Schmidhuber, Dmitry Laptev, Sarvesh Dwivedi, Joachim M Buhmann, et al · 2015
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Saturated reconstruction of a volume of neocortex
Narayanan Kasthuri, Kenneth Jeffrey Hayworth, Daniel Raimund Berger, Richard Lee Schalek, José Angel Conchello, Seymour Knowles-Barley, Dongil Lee, Amelio Vázquez-Reina, Verena Kaynig, Thouis Raymond Jones, et al · 2015
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Three-dimensional volume imaging with electron microscopy toward connectome
Nobuhiko Ohno, Mitsuhiko Katoh, Yurika Saitoh, Sei Saitoh, and Shinichi Ohno · 2015
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Multicut brings automated neurite segmentation closer to human performance
Thorsten Beier, Constantin Pape, Nasim Rahaman, Timo Prange, Stuart Berg, Davi D Bock, Albert Cardona, Graham W Knott, Stephen M Plaza, Louis K Scheffer, et al · 2017
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Superhuman accuracy on the snemi3d connectomics challenge
Kisuk Lee, Jonathan Zung, Peter Li, Viren Jain, and H Sebastian Seung · 2017
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A connectome of a learning and memory center in the adult drosophila brain
Shin-ya Takemura, Yoshinori Aso, Toshihide Hige, Allan Wong, Zhiyuan Lu, C Shan Xu, Patricia K Rivlin, Harald Hess, Ting Zhao, Toufiq Parag, et al · 2017
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Large scale image segmentation with structured loss based deep learning for connectome reconstruction
Jan Funke, Fabian Tschopp, William Grisaitis, Arlo Sheridan, Chandan Singh, Stephan Saalfeld, and Srinivas C Turaga · 2018
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Contextual hourglass network for semantic segmentation of high resolution aerial imagery
Panfeng Li, Youzuo Lin, and Emily Schultz-Fellenz · 2018
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Decoupled weight decay regularization
Ilya Loshchilov and Frank Hutter · 2018
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Lectures on Convex Optimization
Yurii Nesterov · 2018
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The physics of brain network structure, function and control
Christopher W Lynn and Danielle S Bassett · 2019
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Generative pretraining from pixels
Mark Chen, Alec Radford, Rewon Child, Jeffrey Wu, Heewoo Jun, David Luan, and Ilya Sutskever · 2020
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Bootstrap your own latent: A new approach to self-supervised learning
Jean-Bastien Grill, Florian Strub, Florent Altché, Corentin Tallec, Pierre Richemond, Elena Buchatskaya, Carl Doersch, Bernardo Avila Pires, Zhaohan Guo, Mohammad Gheshlaghi Azar, et al · 2020
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Momentum contrast for unsupervised visual representation learning
Kaiming He, Haoqi Fan, Yuxin Wu, Saining Xie, and Ross Girshick · 2020
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Mitoem dataset: Large-scale 3d mitochondria instance segmentation from em images
Donglai Wei, Zudi Lin, Daniel Franco-Barranco, Nils Wendt, Xingyu Liu, Wenjie Yin, Xin Huang, Aarush Gupta, Won-Dong Jang, Xueying Wang, et al · 2020
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Multimodal semi-supervised learning for 3d objects
Z Chen and L Jing · 2021
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Sequential modeling enables scalable learning for large vision models
Yutong Bai, Xinyang Geng, Karttikeya Mangalam, Amir Bar, Alan Yuille, Trevor Darrell, Jitendra Malik, and Alexei A Efros · 2023
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Jiuhai Chen and Jonas Mueller · 2023
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Mamba: Linear-time sequence modeling with selective state spaces
Albert Gu and Tri Dao · 2023
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Dinov2: Learning robust visual features without supervision
Maxime Oquab, Timothée Darcet, Théo Moutakanni, Huy V Vo, Marc Szafraniec, Vasil Khalidov, Pierre Fernandez, Daniel HAZIZA, Francisco Massa, Alaaeldin El-Nouby, et al · 2023
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Local shape descriptors for neuron segmentation
Arlo Sheridan, Tri M Nguyen, Diptodip Deb, Wei-Chung Allen Lee, Stephan Saalfeld, Srinivas C Turaga, Uri Manor, and Jan Funke · 2023
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Consistent posterior distributions under vessel-mixing: A regularization for cross-domain retinal artery/vein classification
Chenxin Li, Yunlong Zhang, Zhehan Liang, Wenao Ma, Yue Huang, and Xinghao Ding · 2021
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Automatic detection of synaptic partners in a whole-brain drosophila em dataset
Philipp Schlegel, Alexander S Bates, Tejal Parag, Gregory SXE Jefferis, and Davi D Bock · 2021
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Barlow twins: Self-supervised learning via redundancy reduction
Jure Zbontar, Li Jing, Ishan Misra, Yann LeCun, and Stéphane Deny · 2021
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Flamingo: A visual language model for few-shot learning
Jean-Baptiste Alayrac, Jeff Donahue, Pauline Luc, Antoine Miech, Iain Barr, Yana Hasson, Karel Lenc, Arthur Mensch, Katherine Millican, Malcolm Reynolds, et al · 2022
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Unsupervised anomaly segmentation for brain lesions using dual semantic-manifold reconstruction
Zhiyuan Ding, Qi Dong, Haote Xu, Chenxin Li, Xinghao Ding, and Yue Huang · 2022
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Unetr: Transformers for 3d medical image segmentation
Ali Hatamizadeh, Yucheng Tang, Vishwesh Nath, Dong Yang, Andriy Myronenko, Bennett Landman, Holger R Roth, and Daguang Xu · 2022
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Masked autoencoders are scalable vision learners
Kaiming He, Xinlei Chen, Saining Xie, Yanghao Li, Piotr Dollár, and Ross Girshick · 2022
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The effectiveness of mae pre-pretraining for billion-scale pretraining
Mannat Singh, Quentin Duval, Kalyan Vasudev Alwala, Haoqi Fan, Vaibhav Aggarwal, Aaron Adcock, Armand Joulin, Piotr Dollár, Christoph Feichtenhofer, Ross Girshick, et al · 2023
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The pitfalls of next-token prediction
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Automated data curation for robust language model fine-tuning
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Scalable pre-training of large autoregressive image models
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Research on the application of semantic network in disease diagnosis prompts based on medical corpus
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Cross-dimension affinity distillation for 3d em neuron segmentation
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Eagle: An edge-aware gradient localization enhanced loss for ct image reconstruction
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Segmamba: Long-range sequential modeling mamba for 3d medical image segmentation
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