Jianning Li
My research interests include computer vision, maching learning (incl. interpretable deep learning, disentangled representation learning, deep generative models etc), and their applications in medical image analysis.
I am also interested in mathematical vision and neural models. Write me an email via jianningli.me@gmail.com if you want to discuss ideas.
Notice
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[pinned] Don't hesitate to drop me an email if you are interested in my work or want to chat.
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[Oct 8 - Oct. 15] I am at MICCAI 2023 in Vancouver, Canada. Let me know if you want to meet up.
Recent Publications
- [Feb. 2024] How we won BraTS 2023 Adult Glioma challenge? Just faking it! Enhanced Synthetic Data Augmentation and Model Ensemble for brain tumour segmentation .
- [Feb. 2024] GAN-based generation of realistic 3D volumetric data: A systematic review and taxonom . Medical Image Analysis
- [Jan. 2024] ChatGPT in healthcare: A taxonomy and systematic review . Computer Methods and Programs in Biomedicine
- [Dec 2023] On the Impact of Cross-Domain Data on German Language Models . EMNLP Findings'23
- [Nov. 2023] Sparse convolutional neural network for high-resolution skull shape completion and shape super-resolution . Scientific Reports
- [Oct. 2023] Anatomy Completor: A Multi-class Completion Framework for 3D Anatomy Reconstruction. MICCAI'23 ShapeMI Workshop
- [Oct. 2023] Shape in Medical Imaging . International Workshop Held in Conjunction with MICCAI 2023.
- [Aug. 2023] MedShapeNet -- A Large-Scale Dataset of 3D Medical Shapes for Computer Vision .
Preprint ( LinkedIn , Github , Related Publications). - [Aug. 2023] Towards clinical applicability and computational efficiency in automatic cranial implant design: An overview of the AutoImplant 2021 cranial implant design challenge . Medical Image Analysis
- [July 2023] FAM: Relative Flatness Aware Minimization . ICML'23 TAG-ML Workshop
(Co-)editted Conference Proceedings
Shape in Medical Imaging . International Workshop, ShapeMI 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings.
Medical Applications with Disentanglements. First MICCAI Workshop, MAD 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings.
Towards the Automatization of Cranial Implant Design in Cranioplasty II. Second Challenge, AutoImplant 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, October 1, 2021, Proceedings.
Towards the Automatization of Cranial Implant Design in Cranioplasty. First Challenge, AutoImplant 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 8, 2020, Proceedings.
Selected Publications
Advancing Healthcare Through Open Science: StudierFenster and MedShapeNet
. In AIRoV - The First Austrian Symposium on AI, Robotics, and Vision 25.-27.3.2024, Innsbruck.
Gsaxner, C., Luijten, G., Li, J., et al.
Training β-VAE by Aggregating a Learned Gaussian Posterior with a Decoupled Decoder
. In Medical Applications with Disentanglements. MAD 2022. Springer, Cham 2022. [arxiv] [Github][Poster]
Li, J., Fragemann, J. et al.
Sparse convolutional neural network for high-resolution skull shape completion and shape super-resolution. In Scientific Reports [Demonstration]
Li, J., Gsaxner C., Pepe, A. et al.
AutoImplant 2020 -First MICCAI Challenge on Automatic Cranial Implant Design. In IEEE Transactions on Medical Imaging (TMI) 2021. DOI:10.1109/TMI.2021.3077047. [github][Bibtex]
Li, J., Pimentel, P., Szengel, A., Ehlke, M., Lamecker, H., et al.
A Baseline Approach for AutoImplant: The MICCAI 2020 Cranial Implant Design Challenge. In Multimodal Learning for Clinical Decision Support and Clinical Image-Based Procedures, pp. 75-84. Springer, Cham, 2020. [Project Page]
Li, J., Pepe, A., Gsaxner, C., von Campe, G. and Egger, J.
An Online Platform for Automatic Skull Defect Restoration and Cranial Implant Design
. In Medical Imaging 2021: Image-Guided Procedures, Robotic Interventions, and Modeling, vol. 11598, p. 115981Q. International Society for Optics and Photonics, 2021. [Project Page]
Li, J., Pepe, A., Gsaxner, C. and Egger, J.
Detection, segmentation, simulation and visualization of aortic dissections: A review. In Medical image analysis (MedIA), 65, p.101773.
Pepe, A*., Li, J* (*Equal contribution), Rolf-Pissarczyk, M., Gsaxner, C., Chen, X., Holzapfel, G.A. and Egger, J
Automatic Skull Defect Restoration and Cranial Implant Generation for Cranioplasty. In Medical image analysis (MedIA) 2021. [Github]
Li, J., von Campe, G., Pepe, A., Gsaxner, C. et al.
Professional Service
- Regular reviewer for MICCAI and other machine learning & medical imaging conferences/journals
- Conference proceedings editor: ShapeMI 2023, MAD 2022, AutoImplant 2021, AutoImplant 2020
- Lead organizer Autoimplant I @ MICCAI 2020
- Lead organizer Autoimplant II @ MICCAI 2021
- Co-organizer MAD 2022 @ MICCAI 2022
- Co-organizer ShapeMI 2023 @ MICCAI 2023
- Program committee SEG.A 2023@ MICCAI 2023
- Co-organizer MedShapeNet Tutorial@ MICCAI 2024