On the public citation graph

Segmentation-Enhanced CycleGAN

0 signed · 40 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-319-24574-4_28openalex-snapshot
U-Net: Convolutional Networks for Biomedical Image Segmentation
inferredcites →https://doi.org/10.1007/978-3-319-66185-8_16openalex-snapshot
Deep Learning for Isotropic Super-Resolution from Non-isotropic 3D Electron Microscopy
inferredcites →https://doi.org/10.1016/j.cell.2015.06.054openalex-snapshot
Saturated Reconstruction of a Volume of Neocortex
inferredcites →https://doi.org/10.1016/j.cell.2018.03.040openalex-snapshot
In Silico Labeling: Predicting Fluorescent Labels in Unlabeled Images
inferredcites →https://doi.org/10.1016/j.conb.2010.07.004openalex-snapshot
Machines that learn to segment images: a crucial technology for connectomics
inferredcites →https://doi.org/10.1016/j.conb.2011.10.022openalex-snapshot
Volume electron microscopy for neuronal circuit reconstruction
inferredcites →https://doi.org/10.1016/j.conb.2018.04.030openalex-snapshot
Progress and remaining challenges in high-throughput volume electron microscopy
inferredcites →https://doi.org/10.1016/j.neuron.2015.09.003openalex-snapshot
SegEM: Efficient Image Analysis for High-Resolution Connectomics
inferredcites →https://doi.org/10.1038/nmeth.4151openalex-snapshot
Multicut brings automated neurite segmentation closer to human performance
inferredcites →https://doi.org/10.1038/nn.2868openalex-snapshot
High-accuracy neurite reconstruction for high-throughput neuroanatomy
inferredcites →https://doi.org/10.1038/s41592-018-0049-4openalex-snapshot
High-precision automated reconstruction of neurons with flood-filling networks
inferredcites →https://doi.org/10.1038/s41592-018-0216-7openalex-snapshot
Content-aware image restoration: pushing the limits of fluorescence microscopy
inferredcites →https://doi.org/10.1038/s41592-018-0239-0openalex-snapshot
Deep learning enables cross-modality super-resolution in fluorescence microscopy
inferredcites →https://doi.org/10.1109/5.726791openalex-snapshot
Gradient-based learning applied to document recognition
inferredcites →https://doi.org/10.1109/cvpr.2016.90openalex-snapshot
Deep Residual Learning for Image Recognition
inferredcites →https://doi.org/10.1109/iccv.2017.244openalex-snapshot
Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks
inferredcites →https://doi.org/10.1109/tpami.2018.2835450openalex-snapshot
Large Scale Image Segmentation with Structured Loss Based Deep Learning for Connectome Reconstruction
inferredcites →https://doi.org/10.1126/science.1209168openalex-snapshot
The Big and the Small: Challenges of Imaging the Brain’s Circuits
inferredcites →https://doi.org/10.1162/tacl_a_00065openalex-snapshot
Google’s Multilingual Neural Machine Translation System: Enabling Zero-Shot Translation
inferredcites →https://doi.org/10.48550/arxiv.1706.00120openalex-snapshot
Superhuman Accuracy on the SNEMI3D Connectomics Challenge
inferredcites →https://doi.org/10.48550/arxiv.1707.00067openalex-snapshot
Adversarial Image Alignment and Interpolation
inferredcites →https://doi.org/10.48550/arxiv.1811.11356openalex-snapshot
Robust neural circuit reconstruction from serial electron microscopy with convolutional recurrent networks

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/978-3-031-16440-8_9openalex-snapshot
Domain Adaptive Mitochondria Segmentation via Enforcing Inter-Section Consistency
inferred← citeshttps://doi.org/10.1038/s41592-019-0641-2openalex-snapshot
Gas cluster ion beam SEM for imaging of large tissue samples with 10 nm isotropic resolution
inferred← citeshttps://doi.org/10.1038/s41593-020-0704-9openalex-snapshot
Dense neuronal reconstruction through X-ray holographic nano-tomography
inferred← citeshttps://doi.org/10.1038/s41598-019-55431-0openalex-snapshot
UNI-EM: An Environment for Deep Neural Network-Based Automated Segmentation of Neuronal Electron Microscopic Images
inferred← citeshttps://doi.org/10.1093/jmicro/dfaa007openalex-snapshot
Generative and discriminative model-based approaches to microscopic image restoration and segmentation
inferred← citeshttps://doi.org/10.1101/2023.06.05.543757openalex-snapshot
A Connectome of the Male Drosophila Ventral Nerve Cord
inferred← citeshttps://doi.org/10.1101/2023.10.24.563674openalex-snapshot
Mapping Alzheimer’s Molecular Pathologies in Large-Scale Connectomics Data: A Publicly Accessible Correlative Microscopy Resource
inferred← citeshttps://doi.org/10.1101/2025.06.10.658982openalex-snapshot
A connectomic resource for neural cataloguing and circuit dissection of the larval zebrafish brain
inferred← citeshttps://doi.org/10.1101/605634openalex-snapshot
Automated Reconstruction of a Serial-Section EM Drosophila Brain with Flood-Filling Networks and Local Realignment
inferred← citeshttps://doi.org/10.1107/s2052252520014384openalex-snapshot
Exploiting prior knowledge about biological macromolecules in cryo-EM structure determination
inferred← citeshttps://doi.org/10.1109/bigdata50022.2020.9378053openalex-snapshot
NeuroKube: An Automated and Autoscaling Neuroimaging Reconstruction Framework using Cloud Native Computing and A.I.
inferred← citeshttps://doi.org/10.1109/ieeeconf44664.2019.9048673openalex-snapshot
Transfer Learning Analysis of Image Processing Workflows for Electron Microscopy Datasets
inferred← citeshttps://doi.org/10.1109/isbi53787.2023.10230381openalex-snapshot
Unpaired Image Enhancement for Neurite Segmentation in x-ray Tomography
inferred← citeshttps://doi.org/10.1109/jbhi.2023.3281332openalex-snapshot
3D Domain Adaptive Instance Segmentation via Cyclic Segmentation GANs
inferred← citeshttps://doi.org/10.1111/jmi.13134openalex-snapshot
How innovations in methodology offer new prospects for volume electron microscopy
inferred← citeshttps://doi.org/10.1111/nyas.14320openalex-snapshot
Beyond the feedforward sweep: feedback computations in the visual cortex
inferred← citeshttps://doi.org/10.3389/fcomp.2022.805166openalex-snapshot
From Shallow to Deep: Exploiting Feature-Based Classifiers for Domain Adaptation in Semantic Segmentation
inferred← citeshttps://doi.org/10.7554/elife.57443openalex-snapshot
A connectome and analysis of the adult Drosophila central brain
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.