MRI segmentation

Benchmarks archive 2025-07-28

No benchmark for this task in the archive.

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

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

Subtasks archive 2025-07-28

1 subtask in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

30 shown of 68 papers with code (177 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.

• SegmentAnyBone: A Universal Model that Segments Any Bone at Any Location on MRI
  23 Jan 2024 3 repositories listed
  In our study, we propose a versatile, publicly available deep-learning model for bone segmentation in MRI across multiple standard MRI locations.
• A Learning Strategy for Contrast-agnostic MRI Segmentation
  4 Mar 2020 3 repositories listed Syntology ran 0 of 9 samples · 9 unverified
  These samples are produced using the generative model of the classical Bayesian segmentation framework, with randomly sampled parameters for appearance, deformation, noise, and bias field.
• Enhanced Masked Image Modeling to Avoid Model Collapse on Multi-modal MRI Datasets
  15 Jul 2024 2 repositories listed
  Overall, we construct the enhanced MIM (E-MIM) with HMP and PBT module to avoid model collapse multi-modal MRI.
• Label-set Loss Functions for Partial Supervision: Application to Fetal Brain 3D MRI Parcellation
  8 Jul 2021 2 repositories listed
  Deep neural networks have increased the accuracy of automatic segmentation, however, their accuracy depends on the availability of a large number of fully segmented images.
• The International Workshop on Osteoarthritis Imaging Knee MRI Segmentation Challenge: A Multi-Institute Evaluation and Analysis Framework on a Standardized Dataset
  29 Apr 2020 2 repositories listed
  Purpose: To organize a knee MRI segmentation challenge for characterizing the semantic and clinical efficacy of automatic segmentation methods relevant for monitoring osteoarthritis progression.
• Anatomical Priors in Convolutional Networks for Unsupervised Biomedical Segmentation
  7 Mar 2019 2 repositories listed
  The integration of anatomical priors can facilitate CNN-based anatomical segmentation in a range of novel clinical problems, where few or no annotations are available and thus standard networks are not trainable.
• Acute and sub-acute stroke lesion segmentation from multimodal MRI
  31 Oct 2018 2 repositories listed
  Acute stroke lesion segmentation tasks are of great clinical interest as they can help doctors make better informed treatment decisions.
• Hypergraph Tversky-Aware Domain Incremental Learning for Brain Tumor Segmentation with Missing Modalities
  22 May 2025 1 repository listed
  To address these challenges, we propose Replay-based Hypergraph Domain Incremental Learning (ReHyDIL) for brain tumor segmentation with missing modalities.
• Data-Agnostic Augmentations for Unknown Variations: Out-of-Distribution Generalisation in MRI Segmentation
  15 May 2025 1 repository listed
  Medical image segmentation models are often trained on curated datasets, leading to performance degradation when deployed in real-world clinical settings due to mismatches between training and test distributions.
• Putting the Segment Anything Model to the Test with 3D Knee MRI - A Comparison with State-of-the-Art Performance
  17 Apr 2025 1 repository listed
  A 3D U-Net was also trained as a baseline.
• Task-oriented Uncertainty Collaborative Learning for Label-Efficient Brain Tumor Segmentation
  7 Mar 2025 1 repository listed
  Additionally, a cyclic process is designed to map the predictions back to the prompt to ensure that the prompts are effectively utilized.
• Full-Head Segmentation of MRI with Abnormal Brain Anatomy: Model and Data Release
  30 Jan 2025 1 repository listed
  We are releasing a state-of-the-art model for whole-head MRI segmentation, along with a dataset of 61 clinical MRIs and training labels, including non-brain structures.
• A fuzzy rank-based ensemble of CNN models for MRI segmentation
  28 Dec 2024 1 repository listed
  Glioblastoma is the most common subtype of malignant tumors of the central nervous system.
• VerSe: Integrating Multiple Queries as Prompts for Versatile Cardiac MRI Segmentation
  20 Dec 2024 1 repository listed
  VerSe supports both fully automatic segmentation, through object queries, and interactive mask refinement, by providing click queries when needed.
• QCResUNet: Joint Subject-level and Voxel-level Segmentation Quality Prediction
  10 Dec 2024 1 repository listed
  To validate the effectiveness of the proposed method, we conducted experiments on assessing its performance on evaluating the quality of two distinct segmentation tasks.
• MRGen: Diffusion-based Controllable Data Engine for MRI Segmentation towards Unannotated Modalities
  4 Dec 2024 1 repository listed
  Medical image segmentation has recently demonstrated impressive progress with deep neural networks, yet the heterogeneous modalities and scarcity of mask annotations limit the development of segmentation models on…
• Continuous Spatio-Temporal Memory Networks for 4D Cardiac Cine MRI Segmentation
  30 Oct 2024 1 repository listed
  Current cardiac cine magnetic resonance image (cMR) studies focus on the end diastole (ED) and end systole (ES) phases, while ignoring the abundant temporal information in the whole image sequence.
• Leveraging CORAL-Correlation Consistency Network for Semi-Supervised Left Atrium MRI Segmentation
  21 Oct 2024 1 repository listed
  Diverging from previous methods focused on each local pixel value, the CORAL-Correlation Consistency Module (CCM) in the CORN leverages second-order statistical information to capture global structural features by…
• REHRSeg: Unleashing the Power of Self-Supervised Super-Resolution for Resource-Efficient 3D MRI Segmentation
  14 Oct 2024 1 repository listed
  High-resolution (HR) 3D magnetic resonance imaging (MRI) can provide detailed anatomical structural information, enabling precise segmentation of regions of interest for various medical image analysis tasks.
• Enhanced MRI brain tumor detection and classification via topological data analysis and low-rank tensor decomposition
  3 Oct 2024 1 repository listed
  The promising results show that the integration of TDA, ML, and low-rank approximation methods is a successful approach for brain tumor identification and categorization, providing a solid foundation for further study…
• Harmonizing Flows: Leveraging normalizing flows for unsupervised and source-free MRI harmonization
  22 Jul 2024 1 repository listed
  Initially, a normalizing flow network is trained to capture the distribution characteristics of the source domain.
• Exploiting Scale-Variant Attention for Segmenting Small Medical Objects
  10 Jul 2024 1 repository listed
  Early detection and accurate diagnosis can predict the risk of malignant disease transformation, thereby increasing the probability of effective treatment.
• An Uncertainty-guided Tiered Self-training Framework for Active Source-free Domain Adaptation in Prostate Segmentation
  3 Jul 2024 1 repository listed
  Deep learning models have exhibited remarkable efficacy in accurately delineating the prostate for diagnosis and treatment of prostate diseases, but challenges persist in achieving robust generalization across different…
• TotalVibeSegmentator: Full Body MRI Segmentation for the NAKO and UK Biobank
  31 May 2024 1 repository listed
  Objectives: To present a publicly available torso segmentation network for large epidemiology datasets on volumetric interpolated breath-hold examination (VIBE) images.
• TotalSegmentator MRI: Robust Sequence-independent Segmentation of Multiple Anatomic Structures in MRI
  29 May 2024 1 repository listed
  Since the introduction of TotalSegmentator CT, there is demand for a similar robust automated MRI segmentation tool that can be applied across all MRI sequences and anatomic structures.
• Reliable Source Approximation: Source-Free Unsupervised Domain Adaptation for Vestibular Schwannoma MRI Segmentation
  25 May 2024 1 repository listed
  Source-Free Unsupervised Domain Adaptation (SFUDA) has recently become a focus in the medical image domain adaptation, as it only utilizes the source model and does not require annotated target data.
• UU-Mamba: Uncertainty-aware U-Mamba for Cardiac Image Segmentation
  25 May 2024 1 repository listed
  Biomedical image segmentation is critical for accurate identification and analysis of anatomical structures in medical imaging, particularly in cardiac MRI.
• Large-Scale Multi-Center CT and MRI Segmentation of Pancreas with Deep Learning
  20 May 2024 1 repository listed
  We also collected CT scans of 1, 350 patients from publicly available sources for benchmarking purposes.
• A Flexible 2.5D Medical Image Segmentation Approach with In-Slice and Cross-Slice Attention
  30 Apr 2024 1 repository listed
  This module uses the cross-slice attention mechanism to effectively capture 3D spatial information by learning long-range dependencies between the center slice (for segmentation) and its neighboring slices.
• A Probabilistic Hadamard U-Net for MRI Bias Field Correction
  8 Mar 2024 1 repository listed
  Random samples drawn from latent space are then incorporated with a prototypical corrected image to generate multiple plausible images.

Syntology lines on 1 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.