Jianning Li

70 papers A* 1B 1Journal 40Unranked 24
YearRankTypeTitle / Venue / Authors
2025 J jnl
Aortic Vessel Tree Segmentation for Cardiovascular Diseases Treatment: Status Quo.
ACM Comput. Surv.
Yuan Jin, Antonio Pepe, Jianning Li, Christina Gsaxner, Yuxuan Chen, Behrus Puladi, Fen-hua Zhao, Kelsey L. Pomykala, Jens Kleesiek, Alejandro F. Frangi, Jan Egger
2025 J jnl
Deep Medial Voxels: Learned Medial Axis Approximations for Anatomical Shape Modeling.
IEEE Trans. Medical Imaging
Antonio Pepe, Richard Schussnig, Jianning Li, Christina Gsaxner, Dieter Schmalstieg, Jan Egger
2024 J jnl
A Semi-automatic Cranial Implant Design Tool Based on Rigid ICP Template Alignment and Voxel Space Reconstruction.
CoRR
Michael Lackner, Behrus Puladi, Jens Kleesiek, Jan Egger, Jianning Li
2024 J jnl
Back to the Roots: Reconstructing Large and Complex Cranial Defects using an Image-based Statistical Shape Model.
J. Medical Syst.
Jianning Li, David G. Ellis, Antonio Pepe, Christina Gsaxner, Michele R. Aizenberg, Jens Kleesiek, Jan Egger
2024 J jnl
ChatGPT in healthcare: A taxonomy and systematic review.
Comput. Methods Programs Biomed.
Jianning Li, Amin Dada, Behrus Puladi, Jens Kleesiek, Jan Egger
2024 J jnl
Corrigendum to: GAN-based generation of realistic 3D volumetric data: A systematic review and taxonomy [Medical Image Analysis 93 (2024)].
Medical Image Anal.
André Ferreira, Jianning Li, Kelsey L. Pomykala, Jens Kleesiek, Victor Alves, Jan Egger
2024 J jnl
Cyto R-CNN and CytoNuke Dataset: Towards reliable whole-cell segmentation in bright-field histological images.
Comput. Methods Programs Biomed.
Johannes Raufeisen, Kunpeng Xie, Fabian Hörst, Till Braunschweig, Jianning Li, Jens Kleesiek, Rainer Röhrig, Jan Egger, Bastian Leibe, Frank Hölzle, Alexander Hermans, Behrus Puladi
2024 J jnl
Cyto R-CNN and CytoNuke Dataset: Towards reliable whole-cell segmentation in bright-field histological images.
CoRR
Johannes Raufeisen, Kunpeng Xie, Fabian Hörst, Till Braunschweig, Jianning Li, Jens Kleesiek, Rainer Röhrig, Jan Egger, Bastian Leibe, Frank Hölzle, Alexander Hermans, Behrus Puladi
2024 J jnl
Deep Medial Voxels: Learned Medial Axis Approximations for Anatomical Shape Modeling.
CoRR
Antonio Pepe, Richard Schussnig, Jianning Li, Christina Gsaxner, Dieter Schmalstieg, Jan Egger
2024 J jnl
GAN-based generation of realistic 3D volumetric data: A systematic review and taxonomy.
Medical Image Anal.
André Ferreira, Jianning Li, Kelsey L. Pomykala, Jens Kleesiek, Victor Alves, Jan Egger
2024 J jnl
How we won BraTS 2023 Adult Glioma challenge? Just faking it! Enhanced Synthetic Data Augmentation and Model Ensemble for brain tumour segmentation.
CoRR
André Ferreira, Naida Solak, Jianning Li, Philipp Dammann, Jens Kleesiek, Victor Alves, Jan Egger
2023 — conf
Anatomy Completor: A Multi-class Completion Framework for 3D Anatomy Reconstruction.
ShapeMI@MICCAI
Jianning Li, Antonio Pepe, Gijs Luijten, Christina Schwarz-Gsaxner, Jens Kleesiek, Jan Egger
2023 J jnl
Anatomy Completor: A Multi-class Completion Framework for 3D Anatomy Reconstruction.
CoRR
Jianning Li, Antonio Pepe, Gijs Luijten, Christina Schwarz-Gsaxner, Jens Kleesiek, Jan Egger
2023 J jnl
Automated cross-sectional view selection in CT angiography of aortic dissections with uncertainty awareness and retrospective clinical annotations.
Comput. Biol. Medicine
Antonio Pepe, Jan Egger, Marina Codari, Martin J. Willemink, Christina Gsaxner, Jianning Li, Peter M. Roth, Dieter Schmalstieg, Gabriel Mistelbauer, Dominik Fleischmann
2023 — conf
Enhanced Data Augmentation Using Synthetic Data for Brain Tumour Segmentation.
BraTS/CrossMoDA@MICCAI
André Ferreira, Naida Solak, Jianning Li, Philipp Dammann, Jens Kleesiek, Victor Alves, Jan Egger
2023 — conf
FAM: Relative Flatness Aware Minimization.
TAG-ML
Linara Adilova, Amr Abourayya, Jianning Li, Amin Dada, Henning Petzka, Jan Egger, Jens Kleesiek, Michael Kamp
2023 J jnl
FAM: Relative Flatness Aware Minimization.
CoRR
Linara Adilova, Amr Abourayya, Jianning Li, Amin Dada, Henning Petzka, Jan Egger, Jens Kleesiek, Michael Kamp
2023 J jnl
MedShapeNet - A Large-Scale Dataset of 3D Medical Shapes for Computer Vision.
CoRR
Jianning Li, Antonio Pepe, Christina Gsaxner, Gijs Luijten, Yuan Jin, Narmada Ambigapathy, Enrico Nasca, Naida Solak, Gian Marco Melito, Afaque R. Memon, Xiaojun Chen, Jan Stefan Kirschke, Ezequiel de la Rosa, Patrick Ferdinand Christ, Hongwei Bran Li, David G. Ellis, Michele R. Aizenberg, Sergios Gatidis, Thomas Küstner, Nadya Shusharina, Nicholas Heller, Vincent Andrearczyk, Adrien Depeursinge, Mathieu Hatt, Anjany Sekuboyina, Maximilian Löffler, Hans Liebl, Reuben Dorent, Tom Vercauteren, Jonathan Shapey, Aaron Kujawa, Stefan Cornelissen, Patrick Langenhuizen, Achraf Ben-Hamadou, Ahmed Rekik, Sergi Pujades, Edmond Boyer, Federico Bolelli, Costantino Grana, Luca Lumetti, Hamidreza Salehi, Jun Ma, Yao Zhang, Ramtin Gharleghi, Susann Beier, Arcot Sowmya, Eduardo A. Garza-Villarreal, Thania Balducci, et al.
2023 — ed.
Medical Applications with Disentanglements - First MICCAI Workshop, MAD 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings
MAD@MICCAI
Jana Fragemann, Jianning Li, Xiao Liu, Sotirios A. Tsaftaris, Jan Egger, Jens Kleesiek
2023 — conf
Multicenter aortic vessel tree extraction using deep learning.
Biomedical Applications in Molecular, Structural, and Functional Imaging
Bernhard Scharinger, Antonio Pepe, Yuan Jin, Christina Gsaxner, Jianning Li, Jan Egger
2023 — conf
On the Impact of Cross-Domain Data on German Language Models.
EMNLP (Findings)
Amin Dada, Aokun Chen, Cheng Peng, Kaleb E. Smith, Ahmad Idrissi-Yaghir, Constantin Seibold, Jianning Li, Lars Heiliger, Christoph M. Friedrich, Daniel Truhn, Jan Egger, Jiang Bian, Jens Kleesiek, Yonghui Wu
2023 J jnl
On the Impact of Cross-Domain Data on German Language Models.
CoRR
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
2023 J jnl
Open-source skull reconstruction with MONAI.
SoftwareX
Jianning Li, André Ferreira, Behrus Puladi, Victor Alves, Michael Kamp, Moon S. Kim, Felix Nensa, Jens Kleesiek, Seyed-Ahmad Ahmadi, Jan Egger
2023 — ed.
Shape in Medical Imaging - International Workshop, ShapeMI 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings
ShapeMI@MICCAI
Christian Wachinger, Beatriz Paniagua, Shireen Y. Elhabian, Jianning Li, Jan Egger
2023 J jnl
The HoloLens in medicine: A systematic review and taxonomy.
Medical Image Anal.
Christina Gsaxner, Jianning Li, Antonio Pepe, Yuan Jin, Jens Kleesiek, Dieter Schmalstieg, Jan Egger
2023 J jnl
Towards clinical applicability and computational efficiency in automatic cranial implant design: An overview of the AutoImplant 2021 cranial implant design challenge.
Medical Image Anal.
Jianning Li, 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, Allison Clement, Evan Kim, Zachary Fishman, Cari M. Whyne, James G. Mainprize, Michael R. Hardisty, Shashwat Pathak, Chitimireddy Sindhura, Rama Krishna Sai S. Gorthi, Degala Venkata Kiran, Subrahmanyam Gorthi, Bokai Yang, Ke Fang, Xingyu Li, Artem Kroviakov, Lei Yu, Yuan Jin, Antonio Pepe, Christina Gsaxner, Adam Herout, Victor Alves, Michal Spanel, Michele R. Aizenberg, Jens Kleesiek, Jan Egger
2023 A* conf
Why is the Winner the Best?
CVPR
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, Sophia Bano, Jorge Bernal, Sebastian Bodenstedt, Alessandro Casella, Veronika Cheplygina, Marie Daum, Marleen de Bruijne, Adrien Depeursinge, Reuben Dorent, Jan Egger, David G. Ellis, Sandy Engelhardt, Melanie Ganz, Noha M. Ghatwary, Gabriel Girard, Patrick Godau, Anubha Gupta, Lasse Hansen, Kanako Harada, Mattias P. Heinrich, Nicholas Heller, Alessa Hering, Arnaud Huaulmé, Pierre Jannin, A. Emre Kavur, Oldrich Kodym, Michal Kozubek, Jianning Li, Hongwei Bran Li, Jun Ma, Carlos Martín-Isla, Bjoern H. Menze, J. Alison Noble, Valentin Oreiller, Nicolas Padoy, Sarthak Pati, Kelly Payette, Tim Rädsch, Jonathan Rafael-Patino, Vivek Singh Bawa, Stefanie Speidel, Carole H. Sudre, Kimberlin M. H. van Wijnen, Martin Wagner, D. Wei, Amine Yamlahi, Moi Hoon Yap, C. Yuan, Maximilian Zenk, A. Zia, David Zimmerer, Dogu Baran Aydogan, Binod Bhattarai, Louise Bloch, Raphael Brüngel, J. Cho, C. Choi, Q. Dou, Ivan Ezhov, Christoph M. Friedrich, C. Fuller, Rebati Raman Gaire, Adrian Galdran, Álvaro García-Faura, Maria Grammatikopoulou, S. Hong, Mostafa Jahanifar, I. Jang, Abdolrahim Kadkhodamohammadi, I. Kang, Florian Kofler, S. Kondo, Hugo Jaco Kuijf, M. Li, M. Luu, Tomaz Martincic, Pedro Morais, Mohamed A. Naser, Bruno Oliveira, David Owen, S. Pang, J. Park, S. Park, Szymon Plotka, Élodie Puybareau, Nasir M. Rajpoot, K. Ryu, Numan Saeed, Adam Shephard, Pengcheng Shi, Dejan Stepec, Ronast Subedi, Guillaume Tochon, Helena R. Torres, Hélène Urien, João L. Vilaça, Kareem A. Wahid, H. Wang, J. Wang, L. Wang, X. Wang, Benedikt Wiestler, Marek Wodzinski, F. Xia, J. Xie, Z. Xiong, Sen Yang, Y. Yang, Zixuan Zhao, Klaus H. Maier-Hein, Paul F. Jäger, Annette Kopp-Schneider, Lena Maier-Hein
2023 J jnl
Why is the winner the best?
CoRR
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, Sophia Bano, Jorge Bernal, Sebastian Bodenstedt, Alessandro Casella, Veronika Cheplygina, Marie Daum, Marleen de Bruijne, Adrien Depeursinge, Reuben Dorent, Jan Egger, David G. Ellis, Sandy Engelhardt, Melanie Ganz, Noha M. Ghatwary, Gabriel Girard, Patrick Godau, Anubha Gupta, Lasse Hansen, Kanako Harada, Mattias P. Heinrich, Nicholas Heller, Alessa Hering, Arnaud Huaulmé, Pierre Jannin, Ali Emre Kavur, Oldrich Kodym, Michal Kozubek, Jianning Li, Hongwei Bran Li, Jun Ma, Carlos Martín-Isla, Bjoern H. Menze, J. Alison Noble, Valentin Oreiller, Nicolas Padoy, Sarthak Pati, Kelly Payette, Tim Rädsch, et al.
2022 — conf
Applying Disentanglement in the Medical Domain: An Introduction for the MAD Workshop.
MAD@MICCAI
Jana Fragemann, Xiao Liu, Jianning Li, Sotirios A. Tsaftaris, Jan Egger, Jens Kleesiek
2022 J jnl
Back to the Roots: Reconstructing Large and Complex Cranial Defects using an Image-based Statistical Shape Model.
CoRR
Jianning Li, David G. Ellis, Antonio Pepe, Christina Gsaxner, Michele R. Aizenberg, Jens Kleesiek, Jan Egger
2022 J jnl
Biomedical image analysis competitions: The state of current participation practice.
CoRR
Matthias Eisenmann, Annika Reinke, Vivienn Weru, Minu Dietlinde Tizabi, Fabian Isensee, Tim J. Adler, Patrick Godau, Veronika Cheplygina, Michal Kozubek, Sharib Ali, Anubha Gupta, Jan Kybic, J. Alison Noble, Carlos Ortiz-de-Solórzano, Samiksha Pachade, Caroline Petitjean, Daniel Sage, Donglai Wei, Elizabeth Wilden, Deepak Alapatt, Vincent Andrearczyk, Ujjwal Baid, Spyridon Bakas, Niranjan Balu, Sophia Bano, Vivek Singh Bawa, Jorge Bernal, Sebastian Bodenstedt, Alessandro Casella, Jinwook Choi, Olivier Commowick, Marie Daum, Adrien Depeursinge, Reuben Dorent, Jan Egger, Hannah Eichhorn, Sandy Engelhardt, Melanie Ganz, Gabriel Girard, Lasse Hansen, Mattias P. Heinrich, Nicholas Heller, Alessa Hering, Arnaud Huaulmé, Hyunjeong Kim, Bennett A. Landman, Hongwei Bran Li, Jianning Li, Jun Ma, Anne L. Martel, et al.
2022 — conf
CranGAN: Adversarial Point Cloud Reconstruction for patient-specific Cranial Implant Design.
EMBC
Harsh Sulakhe, Jianning Li, Jan Egger, Poonam Goyal
2022 — conf
Enhancement of aortic dissections in CT angiography: are common filters robust enough?
Biomedical Applications in Molecular, Structural, and Functional Imaging
Antonella Disanto, Antonio Pepe, Luana Petrelli, Christina Gsaxner, Jianning Li, Yuan Jin, Antonio Brunetti, Domenico Buongiorno, Jan Egger, Vitoantonio Bevilacqua
2022 J jnl
GAN-based generation of realistic 3D data: A systematic review and taxonomy.
CoRR
André Ferreira, Jianning Li, Kelsey L. Pomykala, Jens Kleesiek, Victor Alves, Jan Egger
2022 J jnl
Medical deep learning - A systematic meta-review.
Comput. Methods Programs Biomed.
Jan Egger, Christina Gsaxner, Antonio Pepe, Kelsey L. Pomykala, Frederic Jonske, Manuel Kurz, Jianning Li, Jens Kleesiek
2022 J jnl
Open-Source Skull Reconstruction with MONAI.
CoRR
Jianning Li, André Ferreira, Behrus Puladi, Victor Alves, Michael Kamp, Moon-Sung Kim, Felix Nensa, Jens Kleesiek, Seyed-Ahmad Ahmadi, Jan Egger
2022 J jnl
Studierfenster: an Open Science Cloud-Based Medical Imaging Analysis Platform.
J. Digit. Imaging
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
2022 J jnl
The HoloLens in Medicine: A systematic Review and Taxonomy.
CoRR
Christina Gsaxner, Jianning Li, Antonio Pepe, Yuan Jin, Jens Kleesiek, Dieter Schmalstieg, Jan Egger
2022 — conf
Training β-VAE by Aggregating a Learned Gaussian Posterior with a Decoupled Decoder.
MAD@MICCAI
Jianning Li, Jana Fragemann, Seyed-Ahmad Ahmadi, Jens Kleesiek, Jan Egger
2022 J jnl
Training β-VAE by Aggregating a Learned Gaussian Posterior with a Decoupled Decoder.
CoRR
Jianning Li, Jana Fragemann, Seyed-Ahmad Ahmadi, Jens Kleesiek, Jan Egger
2021 J jnl
AI-based Aortic Vessel Tree Segmentation for Cardiovascular Diseases Treatment: Status Quo.
CoRR
Yuan Jin, Antonio Pepe, Jianning Li, Christina Gsaxner, Fen-hua Zhao, Jens Kleesiek, Alejandro F. Frangi, Jan Egger
2021 — conf
An online platform for automatic skull defect restoration and cranial implant design.
Image-Guided Procedures
Jianning Li, Antonio Pepe, Christina Gsaxner, Jan Egger
2021 J jnl
Augmented Reality for Head and Neck Carcinoma Imaging: Description and Feasibility of an Instant Calibration, Markerless Approach.
Comput. Methods Programs Biomed.
Christina Gsaxner, Antonio Pepe, Jianning Li, Una Ibrahimpasic, Jürgen Wallner, Dieter Schmalstieg, Jan Egger
2021 J jnl
AutoImplant 2020-First MICCAI Challenge on Automatic Cranial Implant Design.
IEEE Trans. Medical Imaging
Jianning Li, Pedro Pimentel, Angelika Szengel, Moritz Ehlke, Hans Lamecker, Stefan Zachow, Laura Jovani Estacio Cerquin, Christian Doenitz, Heiko Ramm, Haochen Shi, Xiaojun Chen, Franco Matzkin, Virginia F. J. Newcombe, Enzo Ferrante, Yuan Jin, David G. Ellis, Michele R. Aizenberg, Oldrich Kodym, Michal Spanel, Adam Herout, James G. Mainprize, Zachary Fishman, Michael R. Hardisty, Amirhossein Bayat, Suprosanna Shit, Bomin Wang, Zhi Liu, Matthias Eder, Antonio Pepe, Christina Gsaxner, Victor Alves, Ulrike Zefferer, Gord von Campe, Karin Pistracher, Ute Schäfer, Dieter Schmalstieg, Bjoern H. Menze, Ben Glocker, Jan Egger
2021 J jnl
Automated cross-sectional view selection in CT angiography of aortic dissections with uncertainty awareness and retrospective clinical annotations.
CoRR
Antonio Pepe, Jan Egger, Marina Codari, Martin J. Willemink, Christina Gsaxner, Jianning Li, Peter M. Roth, Gabriel Mistelbauer, Dieter Schmalstieg, Dominik Fleischmann
2021 J jnl
Automatic skull defect restoration and cranial implant generation for cranioplasty.
Medical Image Anal.
Jianning Li, Gord von Campe, Antonio Pepe, Christina Gsaxner, Enpeng Wang, Xiaojun Chen, Ulrike Zefferer, Martin Tödtling, Marcell Krall, Hannes Deutschmann, Ute Schäfer, Dieter Schmalstieg, Jan Egger
2021 J jnl
Deep learning - a first meta-survey of selected reviews across scientific disciplines, their commonalities, challenges and research impact.
PeerJ Comput. Sci.
Jan Egger, Antonio Pepe, Christina Gsaxner, Yuan Jin, Jianning Li, Roman Kern
2021 — conf
Deep learning and particle filter-based aortic dissection vessel tree segmentation.
Biomedical Applications in Molecular, Structural, and Functional Imaging
Yuan Jin, Antonio Pepe, Jianning Li, Christina Gsaxner, Jan Egger
2021 B conf
Inside-Out Instrument Tracking for Surgical Navigation in Augmented Reality.
VRST
Christina Gsaxner, Jianning Li, Antonio Pepe, Dieter Schmalstieg, Jan Egger
2021 — conf
Learning to Rearrange Voxels in Binary Segmentation Masks for Smooth Manifold Triangulation.
AutoImplant@MICCAI
Jianning Li, Antonio Pepe, Christina Gsaxner, Yuan Jin, Jan Egger
2021 J jnl
Learning to Rearrange Voxels in Binary Segmentation Masks for Smooth Manifold Triangulation.
CoRR
Jianning Li, Antonio Pepe, Christina Gsaxner, Yuan Jin, Jan Egger
2021 — conf
PCA-Skull: 3D Skull Shape Modelling Using Principal Component Analysis.
AutoImplant@MICCAI
Lei Yu, Jianning Li, Jan Egger
2021 — conf
Sparse Convolutional Neural Network for Skull Reconstruction.
AutoImplant@MICCAI
Artem Kroviakov, Jianning Li, Jan Egger
2021 — ed.
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
AutoImplant@MICCAI
Jianning Li, Jan Egger
2020 — conf
A Baseline Approach for AutoImplant: The MICCAI 2020 Cranial Implant Design Challenge.
ML-CDS/CLIP@MICCAI
Jianning Li, Antonio Pepe, Christina Gsaxner, Gord von Campe, Jan Egger
2020 J jnl
A Baseline Approach for AutoImplant: the MICCAI 2020 Cranial Implant Design Challenge.
CoRR
Jianning Li, Antonio Pepe, Christina Gsaxner, Gord von Campe, Jan Egger
2020 — conf
A comprehensive workflow and framework for immersive virtual endoscopy of dissected aortae from CTA data.
Image-Guided Procedures
Jan Egger, Simon Gunacker, Antonio Pepe, Gian Marco Melito, Christina Gsaxner, Jianning Li, Katrin Ellermann, Xiaojun Chen
2020 J jnl
An Online Platform for Automatic Skull Defect Restoration and Cranial Implant Design.
CoRR
Jianning Li, Antonio Pepe, Christina Gsaxner, Jan Egger
2020 — conf
Dataset Descriptor for the AutoImplant Cranial Implant Design Challenge.
AutoImplant@MICCAI
Jianning Li, Jan Egger
2020 J jnl
Deep Learning - A first Meta-Survey of selected Reviews across Scientific Disciplines and their Research Impact.
CoRR
Jan Egger, Antonio Pepe, Christina Gsaxner, Jianning Li
2020 J jnl
Detection, segmentation, simulation and visualization of aortic dissections: A review.
Medical Image Anal.
Antonio Pepe, Jianning Li, Malte Rolf-Pissarczyk, Christina Gsaxner, Xiaojun Chen, Gerhard A. Holzapfel, Jan Egger
2020 — conf
High-Resolution Cranial Implant Prediction via Patch-Wise Training.
AutoImplant@MICCAI
Yuan Jin, Jianning Li, Jan Egger
2020 — conf
IRIS: interactive real-time feedback image segmentation with deep learning.
Biomedical Applications in Molecular, Structural, and Functional Imaging
Antonio Pepe, Richard Schussnig, Jianning Li, Christina Gsaxner, Xiaojun Chen, Thomas-Peter Fries, Jan Egger
2020 — conf
Learning Volumetric Shape Super-Resolution for Cranial Implant Design.
AutoImplant@MICCAI
Matthias Eder, Jianning Li, Jan Egger
2020 J jnl
Medical Deep Learning - A systematic Meta-Review.
CoRR
Jan Egger, Christina Gsaxner, Antonio Pepe, Jianning Li
2020 — conf
Semi-supervised Virtual Regression of Aortic Dissections Using 3D Generative Inpainting.
TIA@MICCAI
Antonio Pepe, Gabriel Mistelbauer, Christina Gsaxner, Jianning Li, Dominik Fleischmann, Dieter Schmalstieg, Jan Egger
2020 — conf
Single-Shot Deep Volumetric Regression for Mobile Medical Augmented Reality.
ML-CDS/CLIP@MICCAI
Florian Karner, Christina Gsaxner, Antonio Pepe, Jianning Li, Philipp Fleck, Clemens Arth, Jürgen Wallner, Jan Egger
2020 — ed.
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
AutoImplant@MICCAI
Jianning Li, Jan Egger
2019 — conf
A Robust Algorithm for Selecting Optimal Regularization Parameter Based on Bilateral Accumulative Area.
EMBC
Riqing Chen, Jianning Li, Jian Wu
2019 — conf
Structural Analysis of Complex Atrial Intramural Microstructure from A Multi-layer Model Based on Siamese Network.
EMBC
Jianning Li, Riqing Chen, Jian Wu