Computational Insights into Root Canal Treatment: A Survey of Selected Methods in Imaging, Segmentation, Morphological Analysis, and Clinical Management.

Dentistry Journal, Volume 13, Issue 12 — Featured Cover Paper

Li, J., Bitter, K., et al.

MedShapeNet – a large-scale dataset of 3D medical shapes for computer vision.

Biomedical Engineering / Biomedizinische Technik, Volume 70, Issue 1

Li, J., Zhou, Z., Yang, J., Pepe, A., Gsaxner, C., Luijten, G., et al.

Why is the winner the best?

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 19955–19966

Eisenmann, M., Reinke, A., …, Li, J., …, et al.

How we won BraTS 2023 Adult Glioma challenge? Just faking it! Enhanced Synthetic Data Augmentation and Model Ensemble for brain tumour segmentation.

BraTS 2023 — First Place

Ferreira, A., Solak, N., Li, J., Dammann, P., Kleesiek, J., Alves, V. and Egger, J.

The HoloLens in medicine: A systematic review and taxonomy.

Medical Image Analysis, Volume 85, p. 102757

Gsaxner, C., Li, J., Pepe, A., et al.

Towards clinical applicability and computational efficiency in automatic cranial implant design: An overview of the AutoImplant 2021 cranial implant design challenge.

Medical Image Analysis, Volume 88, August 2023, 102865

Li, J., Ellis, D.G., Kodym, O., Rauschenbach, L., Rieß, et al.

Anatomy Completor: A Multi-class Completion Framework for 3D Anatomy Reconstruction.

International Workshop on Shape in Medical Imaging (ShapeMI 2023), pp. 1–14. Springer.

Li, J., Pepe, A., Luijten, G., Schwarz-Gsaxner, C., et al.

Sparse convolutional neural network for high-resolution skull shape completion and shape super-resolution.

Scientific Reports

Li, J., Gsaxner, C., Pepe, A., et al.

Training β-VAE by Aggregating a Learned Gaussian Posterior with a Decoupled Decoder.

Medical Applications with Disentanglements (MAD 2022). Springer, Cham.

Li, J., Fragemann, J., et al.

AutoImplant 2020 — First MICCAI Challenge on Automatic Cranial Implant Design.

IEEE Transactions on Medical Imaging (TMI), DOI: 10.1109/TMI.2021.3077047

Li, J., Pimentel, P., Szengel, A., Ehlke, M., Lamecker, H., et al.

Automatic Skull Defect Restoration and Cranial Implant Generation for Cranioplasty.

Medical Image Analysis (MedIA), 2021

Li, J., von Campe, G., Pepe, A., Gsaxner, C., et al.

Inside-Out Instrument Tracking for Surgical Navigation in Augmented Reality.

27th ACM Symposium on Virtual Reality Software and Technology, pp. 1–11

Gsaxner, C., Li, J., Pepe, A., Schmalstieg, D. and Egger, J.

An Online Platform for Automatic Skull Defect Restoration and Cranial Implant Design.

Medical Imaging 2021: Image-Guided Procedures, Robotic Interventions, and Modeling, SPIE

Li, J., Pepe, A., Gsaxner, C. and Egger, J.

A Baseline Approach for AutoImplant: The MICCAI 2020 Cranial Implant Design Challenge.

Multimodal Learning for Clinical Decision Support and Clinical Image-Based Procedures, pp. 75–84. Springer, Cham.

Li, J., Pepe, A., Gsaxner, C., von Campe, G. and Egger, J.

Detection, segmentation, simulation and visualization of aortic dissections: A review.

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.

Medical image segmentation in oral-maxillofacial surgery.

Computer-Aided Oral and Maxillofacial Surgery, pp. 1–27

Li, J., Erdt, M., Janoos, F., Chang, T.C. and Egger, J.