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 001 (BrainLes@MICCAI, 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 001 (BrainLes@MICCAI, 2017)

Perturb-and-MPM: Quantifying Segmentation Uncertainty in Dense Multi-Label CRFs. - Raphael Meier; Urspeter Knecht; Alain Jungo; Roland Wiest; Mauricio Reyes 001 (CoRR, 2017)

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 001 (MICCAI (1), 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 001 (BrainLes@MICCAI (2), 2018)

Uncertainty-driven Sanity Check: Application to Postoperative Brain Tumor Cavity Segmentation. - Alain Jungo; Raphael Meier; Ekin Ermis; Evelyn Herrmann; Mauricio Reyes 001 (CoRR, 2018)

Assessing Reliability and Challenges of Uncertainty Estimations for Medical Image Segmentation. - Alain Jungo; Mauricio Reyes 001 (MICCAI (2), 2019)

Learning Bloch Simulations for MR Fingerprinting by Invertible Neural Networks. - Fabian Balsiger; Alain Jungo; Olivier Scheidegger; Benjamin Marty; Mauricio Reyes 001 (MLMIR@MICCAI, 2020)

Spatially regularized parametric map reconstruction for fast magnetic resonance fingerprinting. - Fabian Balsiger; Alain Jungo; Olivier Scheidegger; Pierre G. Carlier; Mauricio Reyes 001; Benjamin Marty (Medical Image Anal., 2020)

pymia: A Python package for data handling and evaluation in deep learning-based medical image analysis. - Alain Jungo; Olivier Scheidegger; Mauricio Reyes 001; Fabian Balsiger (Comput. Methods Programs Biomed., 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 001; Ivan Ezhov; Shengnan Liu; Jun Ma 016; Johannes C. Paetzold; Vishva Saravanan R; Anjany Sekuboyina; Suprosanna Shit; Yannick Suter; et al. (CoRR, 2021)

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)