Automated lung segmentation in CT
[MICCAI 2019 Young Scientist Award] [MedIA Best Paper Award] Models Genesis: self-supervised pre-training for 3D medical images. Learns transferable representations from unlabeled CT and MRI volumes, then fine-tunes for downstream segmentation and classification. Keras and PyTorch weights included.
COVID-Net Open Source Initiative - Models and Data for COVID-19 Detection in Chest CT
Image-based COVID-19 diagnosis. Links to software, data, and other resources.
AirQuant is a framework based in MATLAB primarily for extracting airway measurements from fully segmented airways of a chest CT.
[NeurIPS 2024 AIM-FM Workshop] Official implementation of vision-language-conditioned medical image generation. Combines clinical text and segmentation masks with deep generative models to synthesize chest CT images and reveal imaging patterns associated with clinical attributes.
This repository contains the code for registration of Chest CT done with inspiratory and expiratory breath-hold CT image pairs. The dataset used is COPDGene dataset. The dataset has landmarks for all the inhale-exhale image pairs which are used to calculate the registration error.
Workflow-centred open-source fully automated lung volumetry in chest CT.
Labelless automated airway measurement using style transfer to generate synthetic data.
CaliTree: Calibre-Band Airway Segmentation and Tree-Consistent Branch Labelling (MICCAI 2026 challenge)
Thoracic lymph node stationing tool for chest CT using TotalSegmentator anatomy, bronchial branch parsing, and IASLC-style rule-based station segmentation.
ARC-CT: Anatomy-Routed Contrastive Vision-Language Learning for 3D Chest CT (MICCAI 2026 TIA, oral). Zero-shot 18-abnormality classification on CT-RATE from reports only; code + weights.
ARCD-BM: Acquisition-Routed Consensus Distillation with Frequency-Aware Balanced Margins for 3D Chest CT Foundation Models (Team genmi, VLM3D 2026 CT abnormality classification)
Evidence repository for CLARITY-CT, a narrative review of explainable AI for chest CT (2025-2026).
Wizard diagnostico per quesito clinico: dispnea acuta & sospetta EP (D-dimero: 1.38)
A-Fuse (Anchored Fusion): airway tree segmentation for pediatric and adult chest CT by anchored union of TfeNet, MEDPSeg-R and AirMorph-R. Code, weights, web app, ITK-SNAP extension. arXiv:2610.40702
Rule-based measurement of eight cardiovascular diameters from TotalSegmentator masks on non-ECG-gated contrast-enhanced chest CT
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