ArticleMedical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention2020
MitoEM Dataset: Large-scale 3D Mitochondria Instance Segmentation from EM Images.
Article in Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
41 citing papers in PubMed.
- Three-dimensional mapping of intact ovaries reveals the aging dynamics of the ovarian reserve.Nature aging · 2026Article
- SAMJ: fast image annotation on ImageJ/Fiji via segment anything model.Nature communications · 2026Article
- DyMamba: dynamic Mamba for microscopy image semantic segmentation.Bioinformatics (Oxford, England) · 2026Article
- SKOOTS: Skeleton-Oriented Object Segmentation for Mitochondria in High-Resolution Cochlear EM Datasets.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Cell Structure Segmentation in TEM Images of Murine Skin Melanoma Cells by Deep Learning Model.Journal of imaging · 2026Article
- WeakMitoSAM: competitive prompt aggregation for point-supervised mitochondria segmentation in electron microscopy images.Biomedical optics express · 2026Article
- Synthetic data enables human-grade microtubule analysis with foundation models for segmentation.PLoS computational biology · 2026Article
- NucleoNet and DropNet: Generalist deep learning models for instance segmentation of nuclei and lipid droplets from electron microscopy images.bioRxiv : the preprint server for biology · 2026Article
- MambaSSM: efficient segmentation of brain structures in anisotropic 3D EM images via state-space models.Frontiers in neuroscience · 2026Article
- DeepBranchAI: a transferable 3D segmentation model for branching networks.Frontiers in artificial intelligence · 2026Article
- MitoEM 2.0: A Benchmark for Challenging 3D Mitochondria Instance Segmentation from EM Images.bioRxiv : the preprint server for biology · 2025Article
- SKOOTS: Skeleton-oriented object segmentation for mitochondria.bioRxiv : the preprint server for biology · 2025Article
- Deep learning-driven automated mitochondrial segmentation for analysis of complex transmission electron microscopy images.Scientific reports · 2025Article
- CAVE: Connectome Annotation Versioning Engine.Nature methods · 2025Article
- Segment Anything for Microscopy.Nature methods · 2025Article
- Efficient cell-wide mapping of mitochondria in electron microscopic volumes using webKnossos.Cell reports methods · 2025Article
- Large-scale EM data reveals myelinated axonal changes and altered connectivity in the corpus callosum of an autism mouse model.Frontiers in neuroinformatics · 2025Article
- Multiplexed volumetric CLEM enabled by scFvs provides insights into the cytology of cerebellar cortex.Nature communications · 2024Article
- Electron Microscopic Mapping of Mitochondrial Morphology in the Cochlear Nerve Fibers.Journal of the Association for Research in Otolaryngology : JARO · 2024Article
- Morphomics via next-generation electron microscopy.Journal of molecular cell biology · 2024Review
Corrections and comments
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Authors and funding
13 authors.
Funding
Abstract
Electron microscopy (EM) allows the identification of intracellular organelles such as mitochondria, providing insights for clinical and scientific studies. However, public mitochondria segmentation datasets only contain hundreds of instances with simple shapes. It is unclear if existing methods achieving human-level accuracy on these small datasets are robust in practice. To this end, we introduce the
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.