GitHub

I3DR-Net Transfer Learning

git clone https://github.com/ivanwilliammd/I3DR-Net-Transfer-Learning cd I3DR-Net-Transfer-Learning pip3 install -e . Install MIC-DKFZ batch-generators git clone ...
snmjournals.org

End-to-End PET/CT Interpretation and Quantification with an LLM-Orchestrated AI Agent: A Real-World Pilot Study

Journal of Nuclear Medicine June 2026, jnumed.126.272362; DOI: https://doi.org/10.2967/jnumed.126.272362 This retrospective single-center study used clinical PET/CT ...
The Lancet

Development and validation of a deep learning-based framework for automated lung CT segmentation and acute respiratory distress syndrome prediction: a multicenter cohort study

aDepartment of Critical Care Medicine, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China bDepartment of Critical Care Medicine, Shanghai Sixth People's Hospital ...
GitHub

[TPAMI' 2025] Harnessing Lightweight Transformer with Contextual Synergic Enhancement for Efficient 3D Medical Image Segmentation

This repository contains the implementation of our Light-UNETR for efficient 3D medical image segmentation with contextual synergic enhancement (CSE). datasets/ ├── brats/ │ ├── data/ │ │ ├── ...
Frontiers

Lesion feature enhancement and boundary-aware fusion for pulmonary embolism recognition on CT images

Artificial Intelligence-Assisted Medical Imaging Solutions for Integrating Pathology and Radiology Automated Systems - Volume III ...
Frontiers

NephroNet: a calibration-aware, patient-disjoint benchmark for multiclass kidney CT classification with a compact depthwise-separable CNN

Computed tomography (CT) remains the primary cross-sectional modality for evaluating kidney pathology across three clinically salient tasks: (i) characterization of solid renal masses (benign vs.