Alain Jungo

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 19

Top Topics

Inter Observer Variability

Tumor Segmentation

Image Segmentation

Medical Image Segmentation

Top Venues

BrainLes@MICCAI

BrainLes@MICCAI (2)

Publications

Alain Jungo, Lars Doorenbos, Tommaso Da Col, Maarten Beelen, Martin Zinkernagel, Pablo Márquez-Neila, Raphael Sznitman
Unsupervised out-of-distribution detection for safer robotically-guided retinal microsurgery. CoRR (2023)
Alain Jungo, Lars Doorenbos, Tommaso Da Col, Maarten Beelen, Martin Zinkernagel, Pablo Márquez-Neila, Raphael Sznitman
Unsupervised out-of-distribution detection for safer robotically guided retinal microsurgery. Int. J. Comput. Assist. Radiol. Surg. 18 (6) (2023)
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
The MICCAI Hackathon on reproducibility, diversity, and selection of papers at the MICCAI conference. CoRR (2021)
Alain Jungo, Olivier Scheidegger, Mauricio Reyes, Fabian Balsiger
pymia: A Python package for data handling and evaluation in deep learning-based medical image analysis. Comput. Methods Programs Biomed. 198 (2021)
Alain Jungo, Olivier Scheidegger, Mauricio Reyes, Fabian Balsiger
pymia: A Python package for data handling and evaluation in deep learning-based medical image analysis. CoRR (2020)
Fabian Balsiger, Alain Jungo, Olivier Scheidegger, Pierre G. Carlier, Mauricio Reyes, Benjamin Marty
Spatially regularized parametric map reconstruction for fast magnetic resonance fingerprinting. Medical Image Anal. 64 (2020)
Fabian Balsiger, Alain Jungo, Olivier Scheidegger, Benjamin Marty, Mauricio Reyes
Learning Bloch Simulations for MR Fingerprinting by Invertible Neural Networks. MLMIR@MICCAI (2020)
Fabian Balsiger, Alain Jungo, Olivier Scheidegger, Benjamin Marty, Mauricio Reyes
Learning Bloch Simulations for MR Fingerprinting by Invertible Neural Networks. CoRR (2020)
Alain Jungo, Mauricio Reyes
Assessing Reliability and Challenges of Uncertainty Estimations for Medical Image Segmentation. CoRR (2019)
Fabian Balsiger, Alain Jungo, Olivier Scheidegger, Pierre G. Carlier, Mauricio Reyes, Benjamin Marty
Spatially Regularized Parametric Map Reconstruction for Fast Magnetic Resonance Fingerprinting. CoRR (2019)
Alain Jungo, Mauricio Reyes
Assessing Reliability and Challenges of Uncertainty Estimations for Medical Image Segmentation. MICCAI (2) (2019)
Alain Jungo, Raphael Meier, Ekin Ermis, Marcela Blatti-Moreno, Evelyn Herrmann, Roland Wiest, Mauricio Reyes
On the Effect of Inter-observer Variability for a Reliable Estimation of Uncertainty of Medical Image Segmentation. MICCAI (1) (2018)
Alain Jungo, Raphael Meier, Ekin Ermis, Marcela Blatti-Moreno, Evelyn Herrmann, Roland Wiest, Mauricio Reyes
On the Effect of Inter-observer Variability for a Reliable Estimation of Uncertainty of Medical Image Segmentation. CoRR (2018)
Alain Jungo, Raphael Meier, Ekin Ermis, Evelyn Herrmann, Mauricio Reyes
Uncertainty-driven Sanity Check: Application to Postoperative Brain Tumor Cavity Segmentation. CoRR (2018)
Yannick Suter, Alain Jungo, Michael Rebsamen, Urspeter Knecht, Evelyn Herrmann, Roland Wiest, Mauricio Reyes
Deep Learning Versus Classical Regression for Brain Tumor Patient Survival Prediction. BrainLes@MICCAI (2) (2018)
Yannick Suter, Alain Jungo, Michael Rebsamen, Urspeter Knecht, Evelyn Herrmann, Roland Wiest, Mauricio Reyes
Deep Learning versus Classical Regression for Brain Tumor Patient Survival Prediction. CoRR (2018)
Alain Jungo, Richard McKinley, Raphael Meier, Urspeter Knecht, Luis Vera, Julián Pérez-Beteta, David Molina-García, Víctor M. Pérez-García, Roland Wiest, Mauricio Reyes
Towards Uncertainty-Assisted Brain Tumor Segmentation and Survival Prediction. BrainLes@MICCAI (2017)
Richard McKinley, Alain Jungo, Roland Wiest, Mauricio Reyes
Pooling-Free Fully Convolutional Networks with Dense Skip Connections for Semantic Segmentation, with Application to Brain Tumor Segmentation. BrainLes@MICCAI (2017)
Raphael Meier, Urspeter Knecht, Alain Jungo, Roland Wiest, Mauricio Reyes
Perturb-and-MPM: Quantifying Segmentation Uncertainty in Dense Multi-Label CRFs. CoRR (2017)