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Jianning Li 0002
Person information
- affiliation: University Hospital Essen (UKE), Institute for Artificial Intelligence in Medicine (IKIM), Essen, Germany
- affiliation: Graz University of Technology, Institute of Computer Graphics and Vision, Graz, Austria
Other persons with the same name
- Jianning Li (aka: Jian-Ning Li) — disambiguation page
- Jianning Li 0001
(aka: Jian-Ning Li 0001) — Hangzhou Dianzi University, School of Automation, Hangzhou, China
- Jianning Li 0003 — Tsinghua University, Beijing, China (and 1 more)
- Jianning Li 0004 — Lanzhou Jiaotong University, School of Civil Engineering, Lanzhou, China
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2020 – today
- 2024
- [j16]Jianning Li, Amin Dada, Behrus Puladi
ChatGPT in healthcare: A taxonomy and systematic review. Comput. Methods Programs Biomed. 245: 108013 (2024) - [j15]Johannes Raufeisen, Kunpeng Xie, Fabian Hörst
Cyto R-CNN and CytoNuke Dataset: Towards reliable whole-cell segmentation in bright-field histological images. Comput. Methods Programs Biomed. 252: 108215 (2024) - [j14]Jianning Li, David G. Ellis, Antonio Pepe, Christina Gsaxner, Michele R. Aizenberg, Jens Kleesiek, Jan Egger:
Back to the Roots: Reconstructing Large and Complex Cranial Defects using an Image-based Statistical Shape Model. J. Medical Syst. 48(1): 55 (2024) - [j13]André Ferreira
GAN-based generation of realistic 3D volumetric data: A systematic review and taxonomy. Medical Image Anal. 93: 103100 (2024) - [j12]André Ferreira, Jianning Li, Kelsey L. Pomykala, Jens Kleesiek, Victor Alves
Corrigendum to: GAN-based generation of realistic 3D volumetric data: A systematic review and taxonomy [Medical Image Analysis 93 (2024)]. Medical Image Anal. 96: 103174 (2024) - [d3]Johannes Raufeisen
CytoNuke Dataset: Towards reliable whole-cell segmentation in bright-field histological images. Zenodo, 2024 - [i22]Johannes Raufeisen, Kunpeng Xie, Fabian Hörst, Till Braunschweig, Jianning Li, Jens Kleesiek, Rainer Röhrig, Jan Egger, Bastian Leibe, Frank Hölzle, Alexander Hermans, Behrus Puladi:
Cyto R-CNN and CytoNuke Dataset: Towards reliable whole-cell segmentation in bright-field histological images. CoRR abs/2401.15638 (2024) - [i21]André Ferreira, Naida Solak, Jianning Li, Philipp Dammann, Jens Kleesiek, Victor Alves
How we won BraTS 2023 Adult Glioma challenge? Just faking it! Enhanced Synthetic Data Augmentation and Model Ensemble for brain tumour segmentation. CoRR abs/2402.17317 (2024) - [i20]Antonio Pepe, Richard Schussnig
Deep Medial Voxels: Learned Medial Axis Approximations for Anatomical Shape Modeling. CoRR abs/2403.11790 (2024) - [i19]Michael Lackner, Behrus Puladi, Jens Kleesiek, Jan Egger, Jianning Li:
A Semi-automatic Cranial Implant Design Tool Based on Rigid ICP Template Alignment and Voxel Space Reconstruction. CoRR abs/2404.15287 (2024) - 2023
- [j11]Antonio Pepe
Automated cross-sectional view selection in CT angiography of aortic dissections with uncertainty awareness and retrospective clinical annotations. Comput. Biol. Medicine 165: 107365 (2023) - [j10]Christina Gsaxner
The HoloLens in medicine: A systematic review and taxonomy. Medical Image Anal. 85: 102757 (2023) - [j9]Jianning Li, David G. Ellis
Towards clinical applicability and computational efficiency in automatic cranial implant design: An overview of the AutoImplant 2021 cranial implant design challenge. Medical Image Anal. 88: 102865 (2023) - [j8]Jianning Li, André Ferreira, Behrus Puladi
Open-source skull reconstruction with MONAI. SoftwareX 23: 101432 (2023) - [c26]Matthias Eisenmann, Annika Reinke, Vivienn Weru, Minu Dietlinde Tizabi, Fabian Isensee, Tim J. Adler, Sharib Ali
Why is the Winner the Best? CVPR 2023: 19955-19966 - [c25]Amin Dada
On the Impact of Cross-Domain Data on German Language Models. EMNLP (Findings) 2023: 13801-13813 - [c24]Bernhard Scharinger, Antonio Pepe, Yuan Jin, Christina Gsaxner, Jianning Li, Jan Egger:
Multicenter aortic vessel tree extraction using deep learning. Biomedical Applications in Molecular, Structural, and Functional Imaging 2023 - [c23]Jianning Li, Antonio Pepe, Gijs Luijten
Anatomy Completor: A Multi-class Completion Framework for 3D Anatomy Reconstruction. ShapeMI@MICCAI 2023: 1-14 - [c22]André Ferreira
Enhanced Data Augmentation Using Synthetic Data for Brain Tumour Segmentation. BraTS/CrossMoDA@MICCAI 2023: 79-93 - [c21]Linara Adilova, Amr Abourayya, Jianning Li, Amin Dada, Henning Petzka, Jan Egger, Jens Kleesiek, Michael Kamp:
FAM: Relative Flatness Aware Minimization. TAG-ML 2023: 37-49 - [e4]Jana Fragemann, Jianning Li, Xiao Liu, Sotirios A. Tsaftaris, Jan Egger, Jens Kleesiek:
Medical Applications with Disentanglements - First MICCAI Workshop, MAD 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings. Lecture Notes in Computer Science 13823, Springer 2023, ISBN 978-3-031-25045-3 [contents] - [e3]Christian Wachinger
Shape in Medical Imaging - International Workshop, ShapeMI 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings. Lecture Notes in Computer Science 14350, Springer 2023, ISBN 978-3-031-46913-8 [contents] - [d2]Gijs Luijten
3D-COSI ~ 3D Collection of Surgical Instruments. Version 1.0. Zenodo, 2023 [all versions] - [d1]Gijs Luijten
3D-COSI ~ 3D Collection of Surgical Instruments. Version V1.1. Zenodo, 2023 [all versions] - [i18]Matthias Eisenmann, Annika Reinke, Vivienn Weru, Minu Dietlinde Tizabi, Fabian Isensee, Tim J. Adler, Sharib Ali
Why is the winner the best? CoRR abs/2303.17719 (2023) - [i17]Linara Adilova, Amr Abourayya, Jianning Li, Amin Dada, Henning Petzka, Jan Egger, Jens Kleesiek, Michael Kamp:
FAM: Relative Flatness Aware Minimization. CoRR abs/2307.02337 (2023) - [i16]Jianning Li, Antonio Pepe, Christina Gsaxner, Gijs Luijten, Yuan Jin, Narmada Ambigapathy, Enrico Nasca, Naida Solak, Gian Marco Melito
MedShapeNet - A Large-Scale Dataset of 3D Medical Shapes for Computer Vision. CoRR abs/2308.16139 (2023) - [i15]Jianning Li, Antonio Pepe, Gijs Luijten, Christina Schwarz-Gsaxner, Jens Kleesiek, Jan Egger:
Anatomy Completor: A Multi-class Completion Framework for 3D Anatomy Reconstruction. CoRR abs/2309.04956 (2023) - [i14]Amin Dada, Aokun Chen, Cheng Peng, Kaleb E. Smith, Ahmad Idrissi-Yaghir, Constantin Marc Seibold, Jianning Li, Lars Heiliger, Xi Yang, Christoph M. Friedrich, Daniel Truhn, Jan Egger, Jiang Bian, Jens Kleesiek, Yonghui Wu:
On the Impact of Cross-Domain Data on German Language Models. CoRR abs/2310.07321 (2023) - 2022
- [j7]Jan Egger
Medical deep learning - A systematic meta-review. Comput. Methods Programs Biomed. 221: 106874 (2022) - [j6]Jan Egger, Daniel Wild, Maximilian Weber, Christopher A. Ramirez Bedoya, Florian Karner, Alexander Prutsch, Michael Schmied, Christina Dionysio, Dominik Krobath, Yuan Jin, Christina Gsaxner, Jianning Li, Antonio Pepe:
Studierfenster: an Open Science Cloud-Based Medical Imaging Analysis Platform. J. Digit. Imaging 35(2): 340-355 (2022) - [c20]Harsh Sulakhe, Jianning Li, Jan Egger, Poonam Goyal:
CranGAN: Adversarial Point Cloud Reconstruction for patient-specific Cranial Implant Design. EMBC 2022: 603-608 - [c19]Antonella Disanto, Antonio Pepe, Luana Petrelli, Christina Gsaxner, Jianning Li, Yuan Jin, Antonio Brunetti
Enhancement of aortic dissections in CT angiography: are common filters robust enough? Biomedical Applications in Molecular, Structural, and Functional Imaging 2022 - [c18]Jana Fragemann, Xiao Liu, Jianning Li, Sotirios A. Tsaftaris, Jan Egger, Jens Kleesiek:
Applying Disentanglement in the Medical Domain: An Introduction for the MAD Workshop. MAD@MICCAI 2022: 3-11 - [c17]Jianning Li, Jana Fragemann, Seyed-Ahmad Ahmadi, Jens Kleesiek, Jan Egger:
Training β-VAE by Aggregating a Learned Gaussian Posterior with a Decoupled Decoder. MAD@MICCAI 2022: 70-92 - [i13]Jianning Li, David G. Ellis, Antonio Pepe, Christina Gsaxner, Michele R. Aizenberg, Jens Kleesiek, Jan Egger:
Back to the Roots: Reconstructing Large and Complex Cranial Defects using an Image-based Statistical Shape Model. CoRR abs/2204.05703 (2022) - [i12]André Ferreira, Jianning Li, Kelsey L. Pomykala, Jens Kleesiek, Victor Alves
GAN-based generation of realistic 3D data: A systematic review and taxonomy. CoRR abs/2207.01390 (2022) - [i11]Christina Gsaxner, Jianning Li, Antonio Pepe, Yuan Jin, Jens Kleesiek, Dieter Schmalstieg, Jan Egger:
The HoloLens in Medicine: A systematic Review and Taxonomy. CoRR abs/2209.03245 (2022) - [i10]Jianning Li, Jana Fragemann, Seyed-Ahmad Ahmadi, Jens Kleesiek, Jan Egger:
Training β-VAE by Aggregating a Learned Gaussian Posterior with a Decoupled Decoder. CoRR abs/2209.14783 (2022) - [i9]Jianning Li, André Ferreira, Behrus Puladi, Victor Alves
Open-Source Skull Reconstruction with MONAI. CoRR abs/2211.14051 (2022) - [i8]Matthias Eisenmann, Annika Reinke, Vivienn Weru, Minu Dietlinde Tizabi, Fabian Isensee, Tim J. Adler, Patrick Godau, Veronika Cheplygina, Michal Kozubek, Sharib Ali
Biomedical image analysis competitions: The state of current participation practice. CoRR abs/2212.08568 (2022) - 2021
- [j5]Christina Gsaxner
Augmented Reality for Head and Neck Carcinoma Imaging: Description and Feasibility of an Instant Calibration, Markerless Approach. Comput. Methods Programs Biomed. 200: 105854 (2021) - [j4]Jianning Li, Gord von Campe, Antonio Pepe, Christina Gsaxner
Automatic skull defect restoration and cranial implant generation for cranioplasty. Medical Image Anal. 73: 102171 (2021) - [j3]Jan Egger, Antonio Pepe
Deep learning - a first meta-survey of selected reviews across scientific disciplines, their commonalities, challenges and research impact. PeerJ Comput. Sci. 7: e773 (2021) - [j2]Jianning Li
AutoImplant 2020-First MICCAI Challenge on Automatic Cranial Implant Design. IEEE Trans. Medical Imaging 40(9): 2329-2342 (2021) - [c16]Yuan Jin
Deep learning and particle filter-based aortic dissection vessel tree segmentation. Biomedical Applications in Molecular, Structural, and Functional Imaging 2021 - [c15]Jianning Li, Antonio Pepe, Christina Gsaxner
Learning to Rearrange Voxels in Binary Segmentation Masks for Smooth Manifold Triangulation. AutoImplant@MICCAI 2021: 45-62 - [c14]Artem Kroviakov
Sparse Convolutional Neural Network for Skull Reconstruction. AutoImplant@MICCAI 2021: 80-94 - [c13]Lei Yu, Jianning Li, Jan Egger:
PCA-Skull: 3D Skull Shape Modelling Using Principal Component Analysis. AutoImplant@MICCAI 2021: 105-115 - [c12]Jianning Li, Antonio Pepe, Christina Gsaxner, Jan Egger:
An online platform for automatic skull defect restoration and cranial implant design. Image-Guided Procedures 2021 - [c11]Christina Gsaxner
Inside-Out Instrument Tracking for Surgical Navigation in Augmented Reality. VRST 2021: 4:1-4:11 - [e2]Jianning Li
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. Lecture Notes in Computer Science 13123, Springer 2021, ISBN 978-3-030-92651-9 [contents] - [i7]Yuan Jin, Antonio Pepe, Jianning Li, Christina Gsaxner, Fen-hua Zhao, Jens Kleesiek, Alejandro F. Frangi, Jan Egger:
AI-based Aortic Vessel Tree Segmentation for Cardiovascular Diseases Treatment: Status Quo. CoRR abs/2108.02998 (2021) - [i6]Jianning Li, Antonio Pepe, Christina Gsaxner, Yuan Jin, Jan Egger:
Learning to Rearrange Voxels in Binary Segmentation Masks for Smooth Manifold Triangulation. CoRR abs/2108.05269 (2021) - [i5]Antonio Pepe, Jan Egger, Marina Codari, Martin J. Willemink, Christina Gsaxner, Jianning Li, Peter M. Roth, Gabriel Mistelbauer, Dieter Schmalstieg, Dominik Fleischmann:
Automated cross-sectional view selection in CT angiography of aortic dissections with uncertainty awareness and retrospective clinical annotations. CoRR abs/2111.11269 (2021) - 2020
- [j1]Antonio Pepe, Jianning Li
Detection, segmentation, simulation and visualization of aortic dissections: A review. Medical Image Anal. 65: 101773 (2020) - [c10]Antonio Pepe, Richard Schussnig
IRIS: interactive real-time feedback image segmentation with deep learning. Biomedical Applications in Molecular, Structural, and Functional Imaging 2020: 113170R - [c9]Jianning Li
Dataset Descriptor for the AutoImplant Cranial Implant Design Challenge. AutoImplant@MICCAI 2020: 10-15 - [c8]Florian Karner, Christina Gsaxner, Antonio Pepe, Jianning Li, Philipp Fleck
Single-Shot Deep Volumetric Regression for Mobile Medical Augmented Reality. ML-CDS/CLIP@MICCAI 2020: 64-74 - [c7]Jianning Li
A Baseline Approach for AutoImplant: The MICCAI 2020 Cranial Implant Design Challenge. ML-CDS/CLIP@MICCAI 2020: 75-84 - [c6]Yuan Jin
High-Resolution Cranial Implant Prediction via Patch-Wise Training. AutoImplant@MICCAI 2020: 94-103 - [c5]Matthias Eder
Learning Volumetric Shape Super-Resolution for Cranial Implant Design. AutoImplant@MICCAI 2020: 104-113 - [c4]Antonio Pepe
Semi-supervised Virtual Regression of Aortic Dissections Using 3D Generative Inpainting. TIA@MICCAI 2020: 130-140 - [c3]Jan Egger, Simon Gunacker, Antonio Pepe, Gian Marco Melito
A comprehensive workflow and framework for immersive virtual endoscopy of dissected aortae from CTA data. Image-Guided Procedures 2020: 1131531 - [e1]Jianning Li
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. Lecture Notes in Computer Science 12439, Springer 2020, ISBN 978-3-030-64326-3 [contents] - [i4]Jianning Li, Antonio Pepe, Christina Gsaxner, Jan Egger:
An Online Platform for Automatic Skull Defect Restoration and Cranial Implant Design. CoRR abs/2006.00980 (2020) - [i3]Jianning Li, Antonio Pepe, Christina Gsaxner, Gord von Campe, Jan Egger:
A Baseline Approach for AutoImplant: the MICCAI 2020 Cranial Implant Design Challenge. CoRR abs/2006.12449 (2020) - [i2]Jan Egger, Christina Gsaxner, Antonio Pepe, Jianning Li:
Medical Deep Learning - A systematic Meta-Review. CoRR abs/2010.14881 (2020) - [i1]Jan Egger, Antonio Pepe, Christina Gsaxner, Jianning Li:
Deep Learning - A first Meta-Survey of selected Reviews across Scientific Disciplines and their Research Impact. CoRR abs/2011.08184 (2020)
2010 – 2019
- 2019
- [c2]Jianning Li, Riqing Chen, Jian Wu:
Structural Analysis of Complex Atrial Intramural Microstructure from A Multi-layer Model Based on Siamese Network. EMBC 2019: 294-297 - [c1]Riqing Chen, Jianning Li, Jian Wu:
A Robust Algorithm for Selecting Optimal Regularization Parameter Based on Bilateral Accumulative Area. EMBC 2019: 4893-4896
Coauthor Index
[j16] [j15] [j14] [j13] [j12] [d3] [i22] [i21] [i20] [i19] [j11] [j10] [j9] [j8] [c26] [c25] [c24] [c23] [c22] [c21] [e4] [e3] [d2] [d1] [i18] [i17] [i15] [i14] [j7] [j6] [c20] [c19] [c18] [c17] [i13] [i12] [i11] [i10] [i9] [i8] [j5] [j4] [j3] [j2] [c16] [c15] [c14] [c13] [c12] [c11] [e2] [i7] [i6] [i5] [j1] [c10] [c9] [c8] [c7] [c6] [c5] [c4] [c3] [e1] [i4] [i3] [i2] [i1]
Christina Schwarz-Gsaxner
aka: Christina Gsaxner
aka: Christina Gsaxner
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