Jianning Li
Postdoc
Institute for AI in Medicine, Germany
My research interests include computer vision, machine learning, medical image analysis and interpretable deep learning. I am currently working on skull shape modelling, reconstruction and completion.
Latest
- A web-based radiomics module for image feature extraction for tumor characterization
- MedShapeNet -- A Large-Scale Dataset of 3D Medical Shapes for Computer Vision
- GAN-based generation of realistic 3D data: A systematic review and taxonomy
- Sparse Convolutional Neural Networks for Medical Image Analysis
- AVT: Multicenter aortic vessel tree CTA dataset collection with ground truth segmentation masks
- A web client-based online DICOM browser and NRRD converter for Studierfenster
- A cloud-based centerline algorithm for Studierfenster
- A review on patient-specific facial and cranial implant design using Artificial Intelligence (AI) techniques
- Ai-based aortic vessel tree segmentation for cardiovascular diseases treatment: status quo
- An online platform for automatic skull defect restoration and cranial implant design
- AutoImplant 2020-first MICCAI challenge on automatic cranial implant design
- Automated cross-sectional view selection in CT angiography of aortic dissections with uncertainty awareness and retrospective clinical annotations
- Automatic skull defect restoration and cranial implant generation for cranioplasty
- Deep learning and particle filter-based aortic dissection vessel tree segmentation
- Deep learning—a first meta-survey of selected reviews across scientific disciplines, their commonalities, challenges and research impact
- Inside-out instrument tracking for surgical navigation in augmented reality
- Learning to rearrange voxels in binary segmentation masks for smooth manifold triangulation
- Medical image segmentation in oral-maxillofacial surgery
- MUG500+: Database of 500 high-resolution healthy human skulls and 29 craniotomy skulls and implants
- PCA-Skull: 3D Skull Shape Modelling Using Principal Component Analysis
- SkullBreak/SkullFix–Dataset for automatic cranial implant design and a benchmark for volumetric shape learning tasks
- Sparse Convolutional Neural Network for Skull Reconstruction
- Synthetic skull bone defects for automatic patient-specific craniofacial implant design
- Towards the Automatization of Cranial Implant Design in Cranioplasty II
- Towards the automatization of cranial implant design in cranioplasty