A Robust Algorithm for Selecting Optimal Regularization Parameter Based on Bilateral Accumulative Area. - Riqing Chen; Jianning Li 002; Jian Wu 012 (EMBC, 2019)

Structural Analysis of Complex Atrial Intramural Microstructure from A Multi-layer Model Based on Siamese Network. - Jianning Li 002; Riqing Chen; Jian Wu 012 (EMBC, 2019)

IRIS: interactive real-time feedback image segmentation with deep learning. - Antonio Pepe 003; Richard Schussnig; Jianning Li 002; Christina Gsaxner; Xiaojun Chen 003; Thomas-Peter Fries; Jan Egger (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2020)

Learning Volumetric Shape Super-Resolution for Cranial Implant Design. - Matthias Eder; Jianning Li 002; Jan Egger (AutoImplant@MICCAI, 2020)

High-Resolution Cranial Implant Prediction via Patch-Wise Training. - Yuan Jin; Jianning Li 002; Jan Egger (AutoImplant@MICCAI, 2020)

Single-Shot Deep Volumetric Regression for Mobile Medical Augmented Reality. - Florian Karner; Christina Gsaxner; Antonio Pepe 003; Jianning Li 002; Philipp Fleck; Clemens Arth; Jürgen Wallner; Jan Egger (ML-CDS/CLIP@MICCAI, 2020)

Dataset Descriptor for the AutoImplant Cranial Implant Design Challenge. - Jianning Li 002; Jan Egger (AutoImplant@MICCAI, 2020)

A Baseline Approach for AutoImplant: The MICCAI 2020 Cranial Implant Design Challenge. - Jianning Li 002; Antonio Pepe 003; Christina Gsaxner; Gord von Campe; Jan Egger (ML-CDS/CLIP@MICCAI, 2020)

Semi-supervised Virtual Regression of Aortic Dissections Using 3D Generative Inpainting. - Antonio Pepe 003; Gabriel Mistelbauer; Christina Gsaxner; Jianning Li 002; Dominik Fleischmann; Dieter Schmalstieg; Jan Egger (TIA@MICCAI, 2020)

A comprehensive workflow and framework for immersive virtual endoscopy of dissected aortae from CTA data. - Jan Egger; Simon Gunacker; Antonio Pepe 003; Gian Marco Melito; Christina Gsaxner; Jianning Li 002; Katrin Ellermann; Xiaojun Chen 003 (Image-Guided Procedures, 2020)

Medical Deep Learning - A systematic Meta-Review. - Jan Egger; Christina Gsaxner; Antonio Pepe 003; Jianning Li 002 (CoRR, 2020)

Deep Learning - A first Meta-Survey of selected Reviews across Scientific Disciplines and their Research Impact. - Jan Egger; Antonio Pepe 003; Christina Gsaxner; Jianning Li 002 (CoRR, 2020)

Detection, segmentation, simulation and visualization of aortic dissections: A review. - Antonio Pepe 003; Jianning Li 002; Malte Rolf-Pissarczyk; Christina Gsaxner; Xiaojun Chen 003; Gerhard A. Holzapfel; Jan Egger (Medical Image Anal., 2020)

Deep learning and particle filter-based aortic dissection vessel tree segmentation. - Yuan Jin; Antonio Pepe 003; Jianning Li 002; Christina Gsaxner; Jan Egger (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2021)

Sparse Convolutional Neural Network for Skull Reconstruction. - Artem Kroviakov; Jianning Li 002; Jan Egger (AutoImplant@MICCAI, 2021)

Learning to Rearrange Voxels in Binary Segmentation Masks for Smooth Manifold Triangulation. - Jianning Li 002; Antonio Pepe 003; Christina Gsaxner; Yuan Jin; Jan Egger (AutoImplant@MICCAI, 2021)

PCA-Skull: 3D Skull Shape Modelling Using Principal Component Analysis. - Lei Yu; Jianning Li 002; Jan Egger (AutoImplant@MICCAI, 2021)

An online platform for automatic skull defect restoration and cranial implant design. - Jianning Li 002; Antonio Pepe 003; Christina Gsaxner; Jan Egger (Image-Guided Procedures, 2021)

Inside-Out Instrument Tracking for Surgical Navigation in Augmented Reality. - Christina Gsaxner; Jianning Li 002; Antonio Pepe 003; Dieter Schmalstieg; Jan Egger (VRST, 2021)

Augmented Reality for Head and Neck Carcinoma Imaging: Description and Feasibility of an Instant Calibration, Markerless Approach. - Christina Gsaxner; Antonio Pepe 003; Jianning Li 002; Una Ibrahimpasic; Jürgen Wallner; Dieter Schmalstieg; Jan Egger (Comput. Methods Programs Biomed., 2021)

AI-based Aortic Vessel Tree Segmentation for Cardiovascular Diseases Treatment: Status Quo. - Yuan Jin; Antonio Pepe 003; Jianning Li 002; Christina Gsaxner; Fen-hua Zhao; Jens Kleesiek; Alejandro F. Frangi; Jan Egger (CoRR, 2021)

Automatic skull defect restoration and cranial implant generation for cranioplasty. - Jianning Li 002; Gord von Campe; Antonio Pepe 003; Christina Gsaxner; Enpeng Wang; Xiaojun Chen 003; Ulrike Zefferer; Martin Tödtling; Marcell Krall; Hannes Deutschmann; Ute Schäfer; Dieter Schmalstieg; et al. (Medical Image Anal., 2021)

Deep learning - a first meta-survey of selected reviews across scientific disciplines, their commonalities, challenges and research impact. - Jan Egger; Antonio Pepe 003; Christina Gsaxner; Yuan Jin; Jianning Li 002; Roman Kern (PeerJ Comput. Sci., 2021)

AutoImplant 2020-First MICCAI Challenge on Automatic Cranial Implant Design. - Jianning Li 002; Pedro Pimentel; Angelika Szengel; Moritz Ehlke; Hans Lamecker; Stefan Zachow; Laura Jovani Estacio Cerquin; Christian Doenitz; Heiko Ramm; Haochen Shi; Xiaojun Chen 003; Franco Matzkin; et al. (IEEE Trans. Medical Imaging, 2021)

CranGAN: Adversarial Point Cloud Reconstruction for patient-specific Cranial Implant Design. - Harsh Sulakhe; Jianning Li 002; Jan Egger; Poonam Goyal (EMBC, 2022)

Enhancement of aortic dissections in CT angiography: are common filters robust enough? - Antonella Disanto; Antonio Pepe 003; Luana Petrelli; Christina Gsaxner; Jianning Li 002; Yuan Jin; Antonio Brunetti; Domenico Buongiorno; Jan Egger; Vitoantonio Bevilacqua (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2022)

Applying Disentanglement in the Medical Domain: An Introduction for the MAD Workshop. - Jana Fragemann; Xiao Liu 037; Jianning Li 002; Sotirios A. Tsaftaris; Jan Egger; Jens Kleesiek (MAD@MICCAI, 2022)

Training β-VAE by Aggregating a Learned Gaussian Posterior with a Decoupled Decoder. - Jianning Li 002; Jana Fragemann; Seyed-Ahmad Ahmadi; Jens Kleesiek; Jan Egger (MAD@MICCAI, 2022)

Medical deep learning - A systematic meta-review. - Jan Egger; Christina Gsaxner; Antonio Pepe 003; Kelsey L. Pomykala; Frederic Jonske; Manuel Kurz; Jianning Li 002; Jens Kleesiek (Comput. Methods Programs Biomed., 2022)

GAN-based generation of realistic 3D data: A systematic review and taxonomy. - André Ferreira; Jianning Li 002; Kelsey L. Pomykala; Jens Kleesiek; Victor Alves; Jan Egger (CoRR, 2022)

Biomedical image analysis competitions: The state of current participation practice. - Matthias Eisenmann; Annika Reinke; Vivienn Weru; Minu Dietlinde Tizabi; Fabian Isensee; Tim J. Adler; Patrick Godau; Veronika Cheplygina; Michal Kozubek 001; Sharib Ali; Anubha Gupta; Jan Kybic; et al. (CoRR, 2022)

Studierfenster: an Open Science Cloud-Based Medical Imaging Analysis Platform. - 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 002; et al. (J. Digit. Imaging, 2022)

Why is the Winner the Best? - Matthias Eisenmann; Annika Reinke; Vivienn Weru; Minu Dietlinde Tizabi; Fabian Isensee; Tim J. Adler; Sharib Ali; Vincent Andrearczyk; Marc Aubreville; Ujjwal Baid; Spyridon Bakas; Niranjan Balu; et al. (CVPR, 2023)

On the Impact of Cross-Domain Data on German Language Models. - Amin Dada; Aokun Chen; Cheng Peng 009; Kaleb E. Smith; Ahmad Idrissi-Yaghir; Constantin Seibold; Jianning Li 002; Lars Heiliger; Christoph M. Friedrich; Daniel Truhn; Jan Egger; Jiang Bian 001; et al. (EMNLP (Findings), 2023)

Multicenter aortic vessel tree extraction using deep learning. - Bernhard Scharinger; Antonio Pepe 003; Yuan Jin; Christina Gsaxner; Jianning Li 002; Jan Egger (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2023)

Enhanced Data Augmentation Using Synthetic Data for Brain Tumour Segmentation. - André Ferreira; Naida Solak; Jianning Li 002; Philipp Dammann; Jens Kleesiek; Victor Alves; Jan Egger (BraTS/CrossMoDA@MICCAI, 2023)

Anatomy Completor: A Multi-class Completion Framework for 3D Anatomy Reconstruction. - Jianning Li 002; Antonio Pepe 003; Gijs Luijten; Christina Schwarz-Gsaxner; Jens Kleesiek; Jan Egger (ShapeMI@MICCAI, 2023)

FAM: Relative Flatness Aware Minimization. - Linara Adilova; Amr Abourayya; Jianning Li 002; Amin Dada; Henning Petzka; Jan Egger; Jens Kleesiek; Michael Kamp (TAG-ML, 2023)

Why is the winner the best? - Matthias Eisenmann; Annika Reinke; Vivienn Weru; Minu Dietlinde Tizabi; Fabian Isensee; Tim J. Adler; Sharib Ali; Vincent Andrearczyk; Marc Aubreville; Ujjwal Baid; Spyridon Bakas; Niranjan Balu; et al. (CoRR, 2023)

MedShapeNet - A Large-Scale Dataset of 3D Medical Shapes for Computer Vision. - Jianning Li 002; Antonio Pepe 003; Christina Gsaxner; Gijs Luijten; Yuan Jin; Narmada Ambigapathy; Enrico Nasca; Naida Solak; Gian Marco Melito; Afaque R. Memon; Xiaojun Chen 003; Jan Stefan Kirschke; et al. (CoRR, 2023)

On the Impact of Cross-Domain Data on German Language Models. - Amin Dada; Aokun Chen; Cheng Peng 009; Kaleb E. Smith; Ahmad Idrissi-Yaghir; Constantin Marc Seibold; Jianning Li 002; Lars Heiliger; Xi Yang 015; Christoph M. Friedrich; Daniel Truhn; Jan Egger; et al. (CoRR, 2023)

The HoloLens in medicine: A systematic review and taxonomy. - Christina Gsaxner; Jianning Li 002; Antonio Pepe 003; Yuan Jin; Jens Kleesiek; Dieter Schmalstieg; Jan Egger (Medical Image Anal., 2023)

Open-source skull reconstruction with MONAI. - Jianning Li 002; André Ferreira; Behrus Puladi; Victor Alves; Michael Kamp; Moon S. Kim 002; Felix Nensa; Jens Kleesiek; Seyed-Ahmad Ahmadi; Jan Egger (SoftwareX, 2023)

Towards clinical applicability and computational efficiency in automatic cranial implant design: An overview of the AutoImplant 2021 cranial implant design challenge. - Jianning Li 002; David G. Ellis; Oldrich Kodym; Laurèl Rauschenbach; Christoph Rieß; Ulrich Sure; Karsten H. Wrede; Carlos M. Alvarez; Marek Wodzinski; Mateusz Daniol; Daria Hemmerling; Hamza Mahdi; et al. (Medical Image Anal., 2023)

3D-COSI 3D Collection of Surgical Instruments. - Gijs Luijten; Christina Gsaxner; Jianning Li 002; Antonio Pepe 003; Narmada Ambigapathy; Moon Kim 002; Xiaojun Chen 003; Jens Kleesiek; Frank Hölzle; Behrus Puladi; Jan Egger (Zenodo, 2023)

3D-COSI 3D Collection of Surgical Instruments. - Gijs Luijten; Christina Gsaxner; Jianning Li 002; Antonio Pepe 003; Narmada Ambigapathy; Moon Kim 002; Xiaojun Chen 003; Jens Kleesiek; Frank Hölzle; Behrus Puladi; Jan Egger (Zenodo, 2023)

Automated cross-sectional view selection in CT angiography of aortic dissections with uncertainty awareness and retrospective clinical annotations. - Antonio Pepe 003; Jan Egger; Marina Codari; Martin J. Willemink; Christina Gsaxner; Jianning Li 002; Peter M. Roth; Dieter Schmalstieg; Gabriel Mistelbauer; Dominik Fleischmann (Comput. Biol. Medicine, 2023)

ChatGPT in healthcare: A taxonomy and systematic review. - Jianning Li 002; Amin Dada; Behrus Puladi; Jens Kleesiek; Jan Egger (Comput. Methods Programs Biomed., 2024)

Cyto R-CNN and CytoNuke Dataset: Towards reliable whole-cell segmentation in bright-field histological images. - Johannes Raufeisen; Kunpeng Xie; Fabian Hörst; Till Braunschweig; Jianning Li 002; Jens Kleesiek; Rainer Röhrig; Jan Egger; Bastian Leibe; Frank Hölzle; Alexander Hermans; Behrus Puladi (Comput. Methods Programs Biomed., 2024)

How we won BraTS 2023 Adult Glioma challenge? Just faking it! Enhanced Synthetic Data Augmentation and Model Ensemble for brain tumour segmentation. - André Ferreira; Naida Solak; Jianning Li 002; Philipp Dammann; Jens Kleesiek; Victor Alves; Jan Egger (CoRR, 2024)

Deep Medial Voxels: Learned Medial Axis Approximations for Anatomical Shape Modeling. - Antonio Pepe 003; Richard Schussnig; Jianning Li 002; Christina Gsaxner; Dieter Schmalstieg; Jan Egger (CoRR, 2024)

A Semi-automatic Cranial Implant Design Tool Based on Rigid ICP Template Alignment and Voxel Space Reconstruction. - Michael Lackner; Behrus Puladi; Jens Kleesiek; Jan Egger; Jianning Li 002 (CoRR, 2024)

GAN-based generation of realistic 3D volumetric data: A systematic review and taxonomy. - André Ferreira; Jianning Li 002; Kelsey L. Pomykala; Jens Kleesiek; Victor Alves; Jan Egger (Medical Image Anal., 2024)

Corrigendum to: GAN-based generation of realistic 3D volumetric data: A systematic review and taxonomy [Medical Image Analysis 93 (2024)]. - André Ferreira; Jianning Li 002; Kelsey L. Pomykala; Jens Kleesiek; Victor Alves; Jan Egger (Medical Image Anal., 2024)

CytoNuke Dataset: Towards reliable whole-cell segmentation in bright-field histological images. - Johannes Raufeisen; Kunpeng Xie; Fabian Hörst; Till Braunschweig; Jianning Li 002; Jens Kleesiek; Rainer Röhrig; Jan Egger; Bastian Leibe; Frank Hölzle; Alexander Hermans; Behrus Puladi (Zenodo, 2024)

Back to the Roots: Reconstructing Large and Complex Cranial Defects using an Image-based Statistical Shape Model. - Jianning Li 002; David G. Ellis; Antonio Pepe 003; Christina Gsaxner; Michele R. Aizenberg; Jens Kleesiek; Jan Egger (J. Medical Syst., 2024)

Aortic Vessel Tree Segmentation for Cardiovascular Diseases Treatment: Status Quo. - Yuan Jin; Antonio Pepe 003; Jianning Li 002; Christina Gsaxner; Yuxuan Chen; Behrus Puladi; Fen-hua Zhao; Kelsey L. Pomykala; Jens Kleesiek; Alejandro F. Frangi; Jan Egger (ACM Comput. Surv., 2025)