Brain Image Segmentation

Benchmarks archive 2025-07-28

6 leaderboard tables shown for this task, 6 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

2 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

18 shown of 18 papers with code (32 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• FusionNet: A deep fully residual convolutional neural network for image segmentation in connectomics
  16 Dec 2016 6 repositories listed
  Electron microscopic connectomics is an ambitious research direction with the goal of studying comprehensive brain connectivity maps by using high-throughput, nano-scale microscopy.
• Enforcing temporal consistency in Deep Learning segmentation of brain MR images
  13 Jun 2019 3 repositories listed
  Proposed CNN based segmentation approaches demonstrate how 2D segmentation using prior slices can provide similar results to 3D segmentation while maintaining good continuity in the 3D dimension and improved speed.
• Non-local U-Net for Biomedical Image Segmentation
  10 Dec 2018 3 repositories listed
  In this work, we propose the non-local U-Nets, which are equipped with flexible global aggregation blocks, for biomedical image segmentation.
• SiNGR: Brain Tumor Segmentation via Signed Normalized Geodesic Transform Regression
  27 May 2024 1 repository listed
  In this work, we instead view this problem as a voxel-level regression, where the ground truth represents a certainty mapping from any pixel to the border of the tumor.
• One-shot Joint Extraction, Registration and Segmentation of Neuroimaging Data
  27 Jul 2023 1 repository listed
  Brain extraction, registration and segmentation are indispensable preprocessing steps in neuroimaging studies.
• Boosting multiple sclerosis lesion segmentation through attention mechanism
  1 Jul 2023 1 repository listed
  Magnetic resonance imaging is a fundamental tool to reach a diagnosis of multiple sclerosis and monitoring its progression.
• ERNet: Unsupervised Collective Extraction and Registration in Neuroimaging Data
  6 Dec 2022 1 repository listed
  Our code and data can be found at https://github.
• Learning from imperfect training data using a robust loss function: application to brain image segmentation
  8 Aug 2022 1 repository listed
  Segmentation is one of the most important tasks in MRI medical image analysis and is often the first and the most critical step in many clinical applications.
• Subject-Specific Lesion Generation and Pseudo-Healthy Synthesis for Multiple Sclerosis Brain Images
  3 Aug 2022 1 repository listed
  In this work, we present a novel foreground-based generative method for modelling the local lesion characteristics that can both generate synthetic lesions on healthy images and synthesize subject-specific…
• An Open-Source Tool for Longitudinal Whole-Brain and White Matter Lesion Segmentation
  10 Jul 2022 1 repository listed
  In this paper we describe and validate a longitudinal method for whole-brain segmentation of longitudinal MRI scans.
• DAM-AL: Dilated Attention Mechanism with Attention Loss for 3D Infant Brain Image Segmentation
  27 Dec 2021 1 repository listed
  While Magnetic Resonance Imaging (MRI) has played an essential role in infant brain analysis, segmenting MRI into a number of tissues such as gray matter (GM), white matter (WM), and cerebrospinal fluid (CSF) is crucial…
• A Longitudinal Method for Simultaneous Whole-Brain and Lesion Segmentation in Multiple Sclerosis
  12 Aug 2020 1 repository listed
  In this paper we propose a novel method for the segmentation of longitudinal brain MRI scans of patients suffering from Multiple Sclerosis.
• A Contrast-Adaptive Method for Simultaneous Whole-Brain and Lesion Segmentation in Multiple Sclerosis
  11 May 2020 1 repository listed
  Here we present a method for the simultaneous segmentation of white matter lesions and normal-appearing neuroanatomical structures from multi-contrast brain MRI scans of multiple sclerosis patients.
• Using deep convolutional neural networks for neonatal brain image segmentation
  26 Mar 2020 1 repository listed
  Introduction: Deep learning neural networks are especially potent at dealing with structured data, such as images and volumes.
• ROAM: Random Layer Mixup for Semi-Supervised Learning in Medical Imaging
  20 Mar 2020 1 repository listed
  Medical image segmentation is one of the major challenges addressed by machine learning methods.
• Unsupervised Deep Learning for Bayesian Brain MRI Segmentation
  25 Apr 2019 1 repository listed
  To develop a deep learning-based segmentation model for a new image dataset (e.
• Few-shot 3D Multi-modal Medical Image Segmentation using Generative Adversarial Learning
  29 Oct 2018 1 repository listed Syntology ran 0 of 6 samples · 6 unverified
  In addition, our work presents a comprehensive analysis of different GAN architectures for semi-supervised segmentation, showing recent techniques like feature matching to yield a higher performance than conventional…
• NeuroNet: Fast and Robust Reproduction of Multiple Brain Image Segmentation Pipelines
  11 Jun 2018 1 repository listed Syntology ran 0 of 4 samples · 4 unverified
  NeuroNet is a deep convolutional neural network mimicking multiple popular and state-of-the-art brain segmentation tools including FSL, SPM, and MALPEM.

Syntology lines on 2 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.