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Alain Jungo
Alain Jungo
在 artorg.unibe.ch 的电子邮件经过验证
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引用次数
引用次数
年份
Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge
S Bakas, M Reyes, A Jakab, S Bauer, M Rempfler, A Crimi, RT Shinohara, ...
arXiv preprint arXiv:1811.02629, 2018
19062018
Assessing reliability and challenges of uncertainty estimations for medical image segmentation
A Jungo, M Reyes
Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019
1492019
On the effect of inter-observer variability for a reliable estimation of uncertainty of medical image segmentation
A Jungo, R Meier, E Ermis, M Blatti-Moreno, E Herrmann, R Wiest, ...
Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018
952018
Analyzing the quality and challenges of uncertainty estimations for brain tumor segmentation
A Jungo, F Balsiger, M Reyes
Frontiers in neuroscience, 282, 2020
842020
Towards uncertainty-assisted brain tumor segmentation and survival prediction
A Jungo, R McKinley, R Meier, U Knecht, L Vera, J Pérez-Beteta, ...
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2018
712018
Fully automated brain resection cavity delineation for radiation target volume definition in glioblastoma patients using deep learning
E Ermiş, A Jungo, R Poel, M Blatti-Moreno, R Meier, U Knecht, ...
Radiation oncology 15 (1), 1-10, 2020
672020
Uncertainty-driven Sanity Check: Application to Postoperative Brain Tumor Cavity Segmentation
A Jungo, R Meier, E Ermis, E Herrmann, M Reyes
arXiv preprint arXiv:1806.03106, 2018
562018
Deep learning versus classical regression for brain tumor patient survival prediction
Y Suter, A Jungo, M Rebsamen, U Knecht, E Herrmann, R Wiest, M Reyes
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2019
512019
pymia: A Python package for data handling and evaluation in deep learning-based medical image analysis
A Jungo, O Scheidegger, M Reyes, F Balsiger
Computer methods and programs in biomedicine 198, 105796, 2021
482021
Pooling-free fully convolutional networks with dense skip connections for semantic segmentation, with application to brain tumor segmentation
R McKinley, A Jungo, R Wiest, M Reyes
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2018
362018
Spatially regularized parametric map reconstruction for fast magnetic resonance fingerprinting
F Balsiger, A Jungo, O Scheidegger, PG Carlier, M Reyes, B Marty
Medical image analysis 64, 101741, 2020
252020
Learning Bloch Simulations for MR Fingerprinting by Invertible Neural Networks
F Balsiger, A Jungo, O Scheidegger, B Marty, M Reyes
Machine Learning for Medical Image Reconstruction: Third International …, 2020
42020
Perturb-and-MPM: quantifying segmentation uncertainty in dense multi-label CRFs
R Meier, U Knecht, A Jungo, R Wiest, M Reyes
arXiv preprint arXiv:1703.00312, 2017
42017
P01. 088 Brain resection cavity delineation for radiation target volume definition in glioblastoma patients using deep learning
E Herrmann, E Ermis, A Jungo, M Blatti-Moreno, U Knecht, DM Aebersold, ...
Neuro-Oncology 20 (suppl_3), iii250-iii251, 2018
22018
Organs at Risk Delineation for Brain Tumor Radiation Planning in Patients with Glioblastoma Using Deep Learning
E Rüfenacht, A Jungo, E Ermiş, M Blatti-Moreno, H Hemmatazad, ...
International Journal of Radiation Oncology• Biology• Physics 105 (1), E718-E719, 2019
12019
Unsupervised out-of-distribution detection for safer robotically guided retinal microsurgery
A Jungo, L Doorenbos, T Da Col, M Beelen, M Zinkernagel, ...
International journal of computer assisted radiology and surgery, 1-7, 2023
2023
A Multi-criteria Quality Assessment of Automated Alternative Segmentations for Radiation Therapy of Brain Tumor Patients
AJ Kamath, R Münger, R Poel, E Rüfenacht, A Jungo, J Willmann, ...
2022
The MICCAI Hackathon on reproducibility, diversity, and selection of papers at the MICCAI conference
F Balsiger, A Jungo, J Chen, I Ezhov, S Liu, J Ma, JC Paetzold, ...
arXiv preprint arXiv:2103.05437, 2021
2021
Fully automated organs at risk delineation for brain tumor radiation planning in patients with glioblastoma using deep learning
E Rüfenacht, A Jungo, E Ermis, H Hemmatazad, MJ Blatti, D Aebersold, ...
Strahlentherapie und Onkologie 195 (12), 1149-1149, 2019
2019
Medical Image Analysis Laboratory (MIALab): An Educational Approach to Medical Image Analysis using Machine Learning
F Balsiger, A Jungo, Y Suter, M Reyes
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