Anatomy

Benchmarks archive 2025-07-28

1 leaderboard table shown for this task, 1 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

1 dataset 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.

Most implemented papers archive 2025-07-28

30 shown of 375 papers with code (1,133 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.

• Automatic lung segmentation in routine imaging is primarily a data diversity problem, not a methodology problem
  31 Jan 2020 5 repositories listed
  We compared four generic deep learning approaches trained on various datasets and two readily available lung segmentation algorithms.
• AeroPath: An airway segmentation benchmark dataset with challenging pathology
  2 Nov 2023 4 repositories listed
  In this study, we introduce a new public benchmark dataset (AeroPath), consisting of 27 CT images from patients with pathologies ranging from emphysema to large tumors, with corresponding trachea and bronchi annotations.
• Transferable Visual Words: Exploiting the Semantics of Anatomical Patterns for Self-supervised Learning
  21 Feb 2021 4 repositories listed
  This paper introduces a new concept called "transferable visual words" (TransVW), aiming to achieve annotation efficiency for deep learning in medical image analysis.
• Disentangled Representation Learning in Cardiac Image Analysis
  22 Mar 2019 4 repositories listed Syntology ran 1 of 2 samples · 1 unverified · 1 pointer-only (licence)
  We can venture further and consider that a medical image naturally factors into some spatial factors depicting anatomy and factors that denote the imaging characteristics.
• Guided Reconstruction with Conditioned Diffusion Models for Unsupervised Anomaly Detection in Brain MRIs
  7 Dec 2023 3 repositories listed
  We demonstrate that this conditioning allows for accurate and local adaptation to the general input intensity distribution while avoiding the replication of unhealthy structures.
• Towards Robust Cardiac Segmentation using Graph Convolutional Networks
  2 Oct 2023 3 repositories listed
  We propose a graph architecture that uses two convolutional rings based on cardiac anatomy and show that this eliminates anatomical incorrect multi-structure segmentations on the publicly available CAMUS dataset.
• Scaling Language Models: Methods, Analysis & Insights from Training Gopher
  8 Dec 2021 3 repositories listed
  Language modelling provides a step towards intelligent communication systems by harnessing large repositories of written human knowledge to better predict and understand the world.
• Recurrent Variational Network: A Deep Learning Inverse Problem Solver applied to the task of Accelerated MRI Reconstruction
  18 Nov 2021 3 repositories listed Syntology ran 2 of 5 samples · 3 unverified · 2 pointer-only (licence)
  Magnetic Resonance Imaging can produce detailed images of the anatomy and physiology of the human body that can assist doctors in diagnosing and treating pathologies such as tumours.
• Reinforcement Learning with Random Delays
  6 Oct 2020 3 repositories listed Syntology ran 2 of 9 samples · 7 unverified · 1 pointer-only (licence)
  Action and observation delays commonly occur in many Reinforcement Learning applications, such as remote control scenarios.
• KiU-Net: Towards Accurate Segmentation of Biomedical Images using Over-complete Representations
  8 Jun 2020 3 repositories listed
  Due to its excellent performance, U-Net is the most widely used backbone architecture for biomedical image segmentation in the recent years.
• End-to-End Variational Networks for Accelerated MRI Reconstruction
  14 Apr 2020 3 repositories listed Syntology ran 1 of 5 samples · 4 unverified
  The slow acquisition speed of magnetic resonance imaging (MRI) has led to the development of two complementary methods: acquiring multiple views of the anatomy simultaneously (parallel imaging) and acquiring fewer…
• Deep Active Learning for Axon-Myelin Segmentation on Histology Data
  11 Jul 2019 3 repositories listed
  In this paper we provide a framework for Deep Active Learning applied to a real-world scenario.
• On the Anatomy of MCMC-Based Maximum Likelihood Learning of Energy-Based Models
  29 Mar 2019 3 repositories listed Syntology ran 0 of 1 samples · 1 unverified · 1 pointer-only (licence)
  On the other hand, ConvNet potentials learned with non-convergent MCMC do not have a valid steady-state and cannot be considered approximate unnormalized densities of the training data because long-run MCMC samples…
• The R-Vessel-X Project
  17 Jan 2025 2 repositories listed
  1) Objectives: This technical report presents a synthetic summary and the principal outcomes of the project R-Vessel-X ("Robust vascular network extraction and understanding within hepatic biomedical images") funded by…
• Multi-Layer Gaussian Splatting for Immersive Anatomy Visualization
  22 Oct 2024 2 repositories listed
  In medical image visualization, path tracing of volumetric medical data like CT scans produces lifelike three-dimensional visualizations.
• Explicit Differentiable Slicing and Global Deformation for Cardiac Mesh Reconstruction
  3 Sep 2024 2 repositories listed
  Here, we propose a novel explicit differentiable voxelization and slicing (DVS) algorithm that allows gradient backpropagation to a mesh from its slices, facilitating refined mesh optimization directly supervised by the…
• SLOctolyzer: Fully automatic analysis toolkit for segmentation and feature extracting in scanning laser ophthalmoscopy images
  24 Jun 2024 2 repositories listed
  The segmentation module uses deep learning methods to delineate retinal anatomy, and detects the fovea and optic disc, whereas the measurement module quantifies the complexity, density, tortuosity, and calibre of the…
• Representing Part-Whole Hierarchies in Foundation Models by Learning Localizability, Composability, and Decomposability from Anatomy via Self-Supervision
  24 Apr 2024 2 repositories listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)
  Humans effortlessly interpret images by parsing them into part-whole hierarchies; deep learning excels in learning multi-level feature spaces, but they often lack explicit coding of part-whole relations, a prominent…
• Benchmarking the CoW with the TopCoW Challenge: Topology-Aware Anatomical Segmentation of the Circle of Willis for CTA and MRA
  29 Dec 2023 2 repositories listed
  The TopCoW dataset was the first public dataset with voxel-level annotations for thirteen possible CoW vessel components, enabled by virtual-reality (VR) technology.
• One Model to Rule them All: Towards Universal Segmentation for Medical Images with Text Prompts
  28 Dec 2023 2 repositories listed Syntology ran 2 of 3 samples · 1 unverified · 3 pointer-only (licence)
  Our main contributions are three folds: (i) for dataset construction, we construct the first multi-modal knowledge tree on human anatomy, including 6502 anatomical terminologies; Then, we build up the largest and most…
• Brain-ID: Learning Contrast-agnostic Anatomical Representations for Brain Imaging
  28 Nov 2023 2 repositories listed Syntology ran 12 of 15 samples · 3 unverified
  We present new metrics to validate the intra- and inter-subject robustness of Brain-ID features, and evaluate their performance on four downstream applications, covering contrast-independent (anatomy…
• Slide-SAM: Medical SAM Meets Sliding Window
  16 Nov 2023 2 repositories listed
  To address these problems, we propose Slide-SAM, which treats a stack of three adjacent slices as a prediction window.
• Towards Foundation Models Learned from Anatomy in Medical Imaging via Self-Supervision
  27 Sep 2023 2 repositories listed
  Human anatomy is the foundation of medical imaging and boasts one striking characteristic: its hierarchy in nature, exhibiting two intrinsic properties: (1) locality: each anatomical structure is morphologically…
• Anatomy-informed Data Augmentation for Enhanced Prostate Cancer Detection
  7 Sep 2023 2 repositories listed
  Data augmentation (DA) is a key factor in medical image analysis, such as in prostate cancer (PCa) detection on magnetic resonance images.
• AutoSamp: Autoencoding k-space Sampling via Variational Information Maximization for 3D MRI
  5 Jun 2023 2 repositories listed
  Experiments on public 3D acquired MRI datasets show improved reconstruction quality of the proposed AutoSamp method over the prevailing variable density and variable density Poisson disc sampling for both compressed…
• MI-SegNet: Mutual Information-Based US Segmentation for Unseen Domain Generalization
  22 Mar 2023 2 repositories listed
  We validate the generalizability of the proposed domain-independent segmentation approach on several datasets with varying parameters and machines.
• Automated deep learning segmentation of high-resolution 7 T postmortem MRI for quantitative analysis of structure-pathology correlations in neurodegenerative diseases
  21 Mar 2023 2 repositories listed
  Postmortem MRI allows brain anatomy to be examined at high resolution and to link pathology measures with morphometric measurements.
• Patched Diffusion Models for Unsupervised Anomaly Detection in Brain MRI
  7 Mar 2023 2 repositories listed
  The use of supervised deep learning techniques to detect pathologies in brain MRI scans can be challenging due to the diversity of brain anatomy and the need for annotated data sets.
• Generating Realistic Brain MRIs via a Conditional Diffusion Probabilistic Model
  15 Dec 2022 2 repositories listed
  As acquiring MRIs is expensive, neuroscience studies struggle to attain a sufficient number of them for properly training deep learning models.
• FAST-AID Brain: Fast and Accurate Segmentation Tool using Artificial Intelligence Developed for Brain
  30 Aug 2022 2 repositories listed
  A novel deep learning method is proposed for fast and accurate segmentation of the human brain into 132 regions.

Syntology lines on 8 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.