A simple hub for useful AI and research links.
A curated homepage for GitHub repositories, AI tools, datasets, radiology resources, writing tools, and other links relevant to medical imaging research.
Links
Search or filter the resource library.
nnU-Net
Self-configuring framework for biomedical image segmentation.
Interactive AInnInteractive
Interactive medical image segmentation with human-in-the-loop correction.
SegmentationVoxTell
MIC-DKFZ GitHub repository for medical image segmentation and voxel-level annotation/research workflows.
Napari pluginnapari-voxtell
Napari plugin that integrates VoxTell for text-prompted volumetric medical image segmentation.
Chest DRArk
Fully open AI foundation model for chest radiography, trained to accrue and reuse knowledge from heterogeneous public expert labels.
CTMerlin
StanfordMIMI 3D vision-language foundation model for computed tomography, with CT representation learning and downstream segmentation research workflows.
CTTotalSegmentator
Automatic segmentation of anatomical structures in CT.
MRI/QSMQSMxT
Quantitative susceptibility mapping toolbox for reproducible MRI workflows.
Imaging3D Slicer
Open-source platform for medical image visualization, segmentation, registration, and quantitative analysis.
SegmentationITK-SNAP
Software for manual and semi-automatic segmentation of 3D medical images.
NeuroimagingNeurodesk
Portable environment for reproducible neuroimaging with many tools available through containers.
NeuroimagingFreeSurfer stable
Stable FreeSurfer release for cortical reconstruction, anatomical segmentation, and structural MRI analysis.
NeuroimagingFastSurfer
Deep learning-based neuroimaging pipeline for fast cortical reconstruction and brain segmentation.
Brain MRIBrainIAC
Foundation model for generalized structural brain MRI analysis, with downstream tasks such as brain age prediction, sequence classification, tumor segmentation, and stroke-related prediction.
DICOMMicroDicom
Lightweight DICOM viewer useful for viewing and inspecting medical image files.
Spinal cordSpinal Cord Toolbox
Open-source toolbox for processing and analyzing spinal cord MRI data.
ChallengesGrand Challenge
Medical imaging challenges, datasets, and benchmarking platform.
DatasetsTCIA
Public cancer imaging archive for AI, radiomics, and reproducibility studies.
WritingOverleaf
Collaborative LaTeX editor for manuscripts, theses, and papers.
ReferencesZotero
Reference manager for papers, systematic reviews, and citation libraries.
ReviewsLatteReview
Tool for literature review and systematic review workflows.
Reviewslitsearchr
Tool for developing search strategies and search terms for systematic review workflows.
ReviewsASReview
AI-assisted screening tool for systematic reviews using active learning.
StatisticsRStudio
Integrated development environment for R, statistics, reproducible analysis, and research workflows.
ReferencesEndNote
Reference manager for manuscript writing, citation handling, and publication workflows.
ReferencesMendeley
Reference manager and PDF library for organizing papers, citations, and academic reading.
InfrastructureNomad
Workload orchestrator for running containers, batch jobs, and services across compute infrastructure.
DataflowApache NiFi
Open-source system for automating data movement, routing, transformation, and workflow pipelines.
NeuroimagingAssemblyNet
Whole-brain MRI segmentation pipeline using an ensemble of convolutional neural networks.
AI frameworkMONAI
Open-source PyTorch-based framework for deep learning in medical imaging.
Muscle MRIMuscleMap
Open-source community project for whole-body quantitative MRI of muscle morphometry and composition.
SynthesisSuperSynth
FreeSurfer resource collecting synthesis-based neuroimaging tools such as SynthSeg and SynthSR.
HistologyHistoAtlasSegmentation
FreeSurfer resource for histology-based atlas segmentation workflows.
Brain tumorTumorSynth
Tool for segmenting healthy brain tissue and tumor in multi-sequence brain MRI.
NeuroimagingSAMSEG
Sequence-adaptive multimodal segmentation tool for robust brain MRI structure segmentation.
MS lesionsLST-AI
Deep learning ensemble for multiple sclerosis lesion segmentation in MRI.
DatasetOpen MS Dataset
Open multiple sclerosis MRI data with lesion annotations for segmentation and benchmarking.
RepositoryZenodo
Open repository for research data, software, preprints, datasets, and DOI-based archiving.
StrokeDeepISLES
Out-of-the-box tool for ischemic stroke lesion segmentation in MRI.
Lung CTLungSCAPE
HRCT lung segmentation pipeline for pulmonary structures and abnormalities.
Fetal MRIFetalSynthSeg
Domain randomization method for fetal brain MRI segmentation across variable acquisition settings.
DatasetCTSpine1K
Large-scale CT dataset for vertebrae segmentation and spine imaging research.
NeuroimagingSPM
Statistical Parametric Mapping software for analysis of functional and structural brain imaging data.
PET/MRIOPETIA
Odense-Oxford PET Image Analysis toolbox for PET/MRI preprocessing and quantitative analysis.
Computer visionYOLO
Ultralytics YOLO repository for object detection, segmentation, pose, and vision AI workflows.
DatasetsKaggle
Platform for datasets, notebooks, machine learning competitions, and practical AI experimentation.
AI modelsHugging Face
Platform for AI models, datasets, demos, transformers, and machine learning community resources.
RepositoryNITRC
Neuroimaging Tools and Resources Collaboratory for imaging tools, datasets, and research resources.
StrokeAcute stroke detection/segmentation
Repository for acute stroke detection and segmentation in medical imaging.
DatasetCheXpert
Large public chest radiograph dataset for automated interpretation and machine learning research.
DatasetOASIS
Open Access Series of Imaging Studies with brain MRI data for neuroimaging and aging research.
Fetal MRIFeTA dataset
Fetal Tissue Annotation resource for fetal brain MRI segmentation and benchmarking.
Head CTRSNA-ICH
RSNA Intracranial Hemorrhage Detection challenge dataset for head CT classification research.
RadiomicsPyRadiomics
Open-source Python package for extracting radiomics features from medical images.
MATLABMATLAB
Numerical computing environment used for image processing, statistics, signal processing, and research workflows.
NotebookJupyter Notebook
Interactive notebook environment for Python, data analysis, visualization, and reproducible computational research.
ProgrammingPython
General-purpose programming language widely used for AI, medical imaging, data science, and automation.
Speech AIOpenAI Whisper
Open-source automatic speech recognition system useful for transcription and audio-to-text workflows.
GitHubCompositIA
GitHub repository for the CompositIA project.
GitHubSPEKTR
Open-source software for x-ray spectral modeling and related imaging research workflows.
AnnotationLabel Studio
Flexible data-labeling platform for images, text, audio, video, and machine learning workflows.
CTWCHN/CTseg
GitHub repository for CT segmentation workflows and related medical imaging research.
X-rayX-ray image enhancement
GitHub repository for enhancement methods applied to X-ray images.
Knee X-rayKNEEL
GitHub repository from iMEDSLab related to knee imaging and AI-based analysis.
Wrist X-rayDeepWrist
GitHub repository from iMEDSLab related to wrist X-ray analysis with deep learning.
Is your software not on the list?
I value open-source software, which is easy and free to use.
Suggest software by emailCurrent research topics
- Stable segmentation pipeline for infarct lesions on DWI/ADC MRI
- Radiography-assisted AI tools for better positioning
- Creation of QSM images with deep learning tools
About me
I am a radiography and radiology researcher with an interest in artificial intelligence, medical image analysis, segmentation, radiomics, quantitative MRI/CT, and practical tools that improve research workflows.
Research themes
- AI-based segmentation in CT and MRI
- Radiography, positioning, image quality, and workflow optimization
- Stroke imaging, DWI lesion segmentation, and infarct volumetry
- Radiomics, reproducibility, and quantitative imaging methods
- Open-source tools, GitHub workflows, and research automation
Videos & webinars
Selected talks, demonstrations, and learning material worth revisiting.
EuSoMII Webinar Series 2025–2026
Webinars on medical imaging informatics, artificial intelligence, and digital imaging research.
Quantitative Susceptibility Mapping
Lectures, presentations, and tutorials about QSM methods and applications.
Deep learning segmentation in ITK-SNAP 4.4
Demonstration of promptable deep-learning segmentation integrated into ITK-SNAP.
Medical image annotation
Tutorial on medical image annotation using CVAT and Makesense AI.