Eric Li
jianningli.me [at] gmail [dot] com
I am currently working as a project assistant at the institite of computer graphics and vision, Graz University of Technology.
My research interest includes computer vision, maching learning, medical image analysis and interpretable deep learning (in medicine).
[Google Scholar]
[Github]
[figshare]
[Twitter]
News
- Our SkullBreak / SkullFix paper has been accepted at Data in Brief
- I am reviewing for MICCAI 2021
- Our challenge [proceedings] have been published online.
- We are organizing the [AutoImplant] challenge at MICCAI 2020
- I am reviewing for MICCAI 2020. [Link]
- I am reviewing for MICCAI 2019. [Link]
Selected Publications
A Baseline Approach for AutoImplant: The MICCAI 2020 Cranial Implant Design Challenge [Project Page]
Jianning Li, Antonio Pepe, Christina Gsaxner, Gord von Campe, Jan Egger
An Online Platform for Automatic Skull Defect Restoration and Cranial Implant Design
[Project Page]
Jianning Li, Antonio Pepe, Christina Gsaxner, Gord von Campe, Jan Egger
Towards the Automatization of Cranial Implant Design in Cranioplasty (AutoImplant 2020 Proceedings)
First Challenge, AutoImplant 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 8, 2020, Proceedings. Li, Jianning, Egger, Jan (Eds.)
Detection, segmentation, simulation and visualization of aortic dissections: A review
Antonio Pepe, JianningLi (Joint 1st author), Malte Rolf-Pissarczyk, Christina Gsaxner, Xiaojun Chen, Gerhard A.Holzapfel, Jan Egger
Synthetic skull bone defects for automatic patient-specific craniofacial implant design [ dataset], [Github], [Related Paper], [Related Paper]
Jianning Li, Christina Gsaxner, Antonio Pepe, Ana Morais, Victor Alves, Gord von Campe, Jürgen Wallner, Jan Egger
Structural Analysis of Complex Atrial Intramural Microstructure from A Multi-layer Model Based on Siamese Network (Interpretable AI in Medicine)
Jianning Li, Riqing Chen, Jian Wu