Alain Jungo

According to our database, Alain Jungo authored at least 12 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Unsupervised out-of-distribution detection for safer robotically guided retinal microsurgery.

Alain Jungo, Lars Doorenbos, Tommaso Da Col, Maarten Beelen, Martin Zinkernagel, Pablo Márquez-Neila, Raphael Sznitman

Int. J. Comput. Assist. Radiol. Surg., 2023

2021

The MICCAI Hackathon on reproducibility, diversity, and selection of papers at the MICCAI conference.

Fabian Balsiger, Alain Jungo, Naren Akash R. J, Jianan Chen, Ivan Ezhov, Shengnan Liu, Jun Ma, Johannes C. Paetzold, Vishva Saravanan R, Anjany Sekuboyina, Suprosanna Shit, Yannick Suter, Moshood Yekini, Guodong Zeng, Markus Rempfler

CoRR, 2021

pymia: A Python package for data handling and evaluation in deep learning-based medical image analysis.

Alain Jungo, Olivier Scheidegger, Mauricio Reyes, Fabian Balsiger

Comput. Methods Programs Biomed., 2021

2020

Spatially regularized parametric map reconstruction for fast magnetic resonance fingerprinting.

Fabian Balsiger, Alain Jungo, Olivier Scheidegger, Pierre G. Carlier, Mauricio Reyes, Benjamin Marty

Medical Image Anal., 2020

Learning Bloch Simulations for MR Fingerprinting by Invertible Neural Networks.

Fabian Balsiger, Alain Jungo, Olivier Scheidegger, Benjamin Marty, Mauricio Reyes

Proceedings of the Machine Learning for Medical Image Reconstruction, 2020

2019

Assessing Reliability and Challenges of Uncertainty Estimations for Medical Image Segmentation.

Alain Jungo, Mauricio Reyes

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

2018

Uncertainty-driven Sanity Check: Application to Postoperative Brain Tumor Cavity Segmentation.

Alain Jungo, Raphael Meier, Ekin Ermis, Evelyn Herrmann, Mauricio Reyes

CoRR, 2018

Deep Learning Versus Classical Regression for Brain Tumor Patient Survival Prediction.

Yannick Suter, Alain Jungo, Michael Rebsamen, Urspeter Knecht, Evelyn Herrmann, Roland Wiest, Mauricio Reyes

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2018

On the Effect of Inter-observer Variability for a Reliable Estimation of Uncertainty of Medical Image Segmentation.

Alain Jungo, Raphael Meier, Ekin Ermis, Marcela Blatti-Moreno, Evelyn Herrmann, Roland Wiest, Mauricio Reyes

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

2017

Perturb-and-MPM: Quantifying Segmentation Uncertainty in Dense Multi-Label CRFs.

Raphael Meier, Urspeter Knecht, Alain Jungo, Roland Wiest, Mauricio Reyes

CoRR, 2017

Pooling-Free Fully Convolutional Networks with Dense Skip Connections for Semantic Segmentation, with Application to Brain Tumor Segmentation.

Richard McKinley, Alain Jungo, Roland Wiest, Mauricio Reyes

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2017

Towards Uncertainty-Assisted Brain Tumor Segmentation and Survival Prediction.

Alain Jungo, Richard McKinley, Raphael Meier, Urspeter Knecht, Luis Vera, Julián Pérez-Beteta, David Molina-García, Víctor M. Pérez-García, Roland Wiest, Mauricio Reyes

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2017