MRI classification

Description from the archive archive 2025-07-28.

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

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.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

7 shown of 7 papers with code (19 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.

• Residual and Plain Convolutional Neural Networks for 3D Brain MRI Classification
  23 Jan 2017 3 repositories listed
  In the recent years there have been a number of studies that applied deep learning algorithms to neuroimaging data.
• Contrastive Learning with Continuous Proxy Meta-Data for 3D MRI Classification
  16 Jun 2021 2 repositories listed
  Traditional supervised learning with deep neural networks requires a tremendous amount of labelled data to converge to a good solution.
• 3D Deformable Convolutions for MRI classification
  5 Nov 2019 2 repositories listed
  Deep learning convolutional neural networks have proved to be a powerful tool for MRI analysis.
• MedCAM-OsteoCls: Medical Context Aware Multimodal Classification of Knee Osteoarthritis
  7 Mar 2025 1 repository listed
  Knee Osteoarthritis (KOA) is a degenerative musculoskeletal joint disorder that significantly impacts middle-aged and elderly individuals.
• Effect of data leakage in brain MRI classification using 2D convolutional neural networks
  19 Nov 2021 1 repository listed
  In this study, we quantitatively assessed the effect of a data leakage caused by 3D MRI data splitting based on a 2D slice-level using three 2D CNN models to classify patients with Alzheimer’s disease (AD) and…
• Ensemble Deep Learning on Large, Mixed-Site fMRI Datasets in Autism and Other Tasks
  14 Feb 2020 1 repository listed
  Employing class-balancing to build a training set, we trained 3×300 modified CNNs in an ensemble model to classify fMRI connectivity matrices with overall AUROCs of 0.
• Alzheimer's Disease Brain MRI Classification: Challenges and Insights
  10 Jun 2019 1 repository listed
  In recent years, many papers have reported state-of-the-art performance on Alzheimer's Disease classification with MRI scans from the Alzheimer's Disease Neuroimaging Initiative (ADNI) dataset using convolutional neural…