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2020 – today
- 2023
[j3]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): 1085-1091 (2023)- [i10]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 abs/2304.05040 (2023) - 2021
- [j2]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: 105796 (2021) - [i9]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 abs/2103.05437 (2021) - 2020
- [j1]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: 101741 (2020) - [c6]Fabian Balsiger, Alain Jungo, Olivier Scheidegger, Benjamin Marty, Mauricio Reyes:
Learning Bloch Simulations for MR Fingerprinting by Invertible Neural Networks. MLMIR@MICCAI 2020: 60-69 - [i8]Fabian Balsiger, Alain Jungo, Olivier Scheidegger, Benjamin Marty, Mauricio Reyes:
Learning Bloch Simulations for MR Fingerprinting by Invertible Neural Networks. CoRR abs/2008.04139 (2020) - [i7]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 abs/2010.03639 (2020)
2010 – 2019
- 2019
- [c5]Alain Jungo, Mauricio Reyes:
Assessing Reliability and Challenges of Uncertainty Estimations for Medical Image Segmentation. MICCAI (2) 2019: 48-56 - [i6]Alain Jungo, Mauricio Reyes:
Assessing Reliability and Challenges of Uncertainty Estimations for Medical Image Segmentation. CoRR abs/1907.03338 (2019) - [i5]Fabian Balsiger, Alain Jungo, Olivier Scheidegger, Pierre G. Carlier, Mauricio Reyes, Benjamin Marty:
Spatially Regularized Parametric Map Reconstruction for Fast Magnetic Resonance Fingerprinting. CoRR abs/1911.03786 (2019) - 2018
- [c4]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: 429-440 - [c3]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: 682-690 - [i4]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 abs/1806.02562 (2018) - [i3]Alain Jungo, Raphael Meier, Ekin Ermis, Evelyn Herrmann, Mauricio Reyes:
Uncertainty-driven Sanity Check: Application to Postoperative Brain Tumor Cavity Segmentation. CoRR abs/1806.03106 (2018) - [i2]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 abs/1811.04907 (2018) - 2017
- [c2]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: 169-177 - [c1]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: 474-485 - [i1]Raphael Meier, Urspeter Knecht, Alain Jungo, Roland Wiest, Mauricio Reyes:
Perturb-and-MPM: Quantifying Segmentation Uncertainty in Dense Multi-Label CRFs. CoRR abs/1703.00312 (2017)
Coauthor Index
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