| Cloud-based evaluation of anatomical structure segmentation and landmark detection algorithms: VISCERAL anatomy benchmarks O Jimenez-del-Toro, H Müller, M Krenn, K Gruenberg, AA Taha, ... IEEE transactions on medical imaging 35 (11), 2459-2475, 2016 | 199 | 2016 |
| ImageCLEF 2019: Multimedia Retrieval in Medicine, Lifelogging, Security and Nature B Ionescu, H Müller, R Péteri, Y Dicente Cid, V Liauchuk, V Kovalev, ... Proceedings of the 10th International Conference of the CLEF Association …, 2019 | 92 | 2019 |
| Efficient and fully automatic segmentation of the lungs in CT volumes Y Dicente Cid, A Depeursinge, OA Jiménez-del-Toro, H Müller VISCERAL@ ISBI 2015 VISCERAL Anatomy3 Organ Segmentation Challenge, 31, 2015 | 89* | 2015 |
| Overview of ImageCLEF 2018: Challenges, datasets and evaluation B Ionescu, H Müller, M Villegas, AGS de Herrera, C Eickhoff, ... International Conference of the Cross-Language Evaluation Forum for European …, 2018 | 82 | 2018 |
| Overview of ImageCLEF 2017: Information extraction from images B Ionescu, H Müller, M Villegas, H Arenas, G Boato, DT Dang-Nguyen, ... Experimental IR Meets Multilinguality, Multimodality, and Interaction 8th …, 2017 | 72 | 2017 |
| Overview of the ImageCLEF 2020: Multimedia retrieval in medical, lifelogging, nature, and internet applications B Ionescu, H Müller, R Péteri, AB Abacha, V Datla, SA Hasan, ... International Conference of the Cross-Language Evaluation Forum for European …, 2020 | 53* | 2020 |
| Overview of the ImageCLEF 2017 Tuberculosis Task-Predicting Tuberculosis Type and Drug Resistances. Y Dicente Cid, A Kalinovsky, V Liauchuk, V Kovalev, H Müller CLEF (Working Notes), 2017 | 53 | 2017 |
| Overview of ImageCLEFtuberculosis 2018-Detecting Multi-Drug Resistance, Classifying Tuberculosis Types and Assessing Severity Scores. Y Dicente Cid, V Liauchuk, V Kovalev, H Müller CLEF (Working Notes), 2018 | 51* | 2018 |
| Overview of the ImageCLEF 2021: Multimedia retrieval in medical, nature, internet and social media applications B Ionescu, H Müller, R Péteri, AB Abacha, M Sarrouti, ... Experimental IR Meets Multilinguality, Multimodality, and Interaction: 12th …, 2021 | 49 | 2021 |
| Overview of ImageCLEFtuberculosis 2019-Automatic CT-based Report Generation and Tuberculosis Severity Assessment, CLEF 2019 Working Notes Y Dicente Cid, V Liauchuk, D Klimuk, A Tarasau, V Kovalev, H Müller CEUR Workshop Proceedings (CEUR-WS. org), ISSN, 1613-0073, 2019 | 46* | 2019 |
| A 3-D Riesz-Covariance Texture Model for Prediction of Nodule Recurrence in Lung CT P Cirujeda, Y Dicente Cid, H Müller, D Rubin, TA Aguilera, BW Loo, ... IEEE transactions on medical imaging 35 (12), 2620-2630, 2016 | 45 | 2016 |
| 3-D Solid Texture Classification Using Locally-Oriented Wavelet Transforms Y Dicente Cid, H Müller, A Platon, PA Poletti, A Depeursinge IEEE Transactions on Image Processing, 2017 | 39 | 2017 |
| A 3D Scene Registration Method via Covariance Descriptors and an Evolutionary Stable Strategy Game Theory Solver P Cirujeda, Y Dicente Cid, X Mateo, X Binefa International Journal of Computer Vision, 1-24, 2015 | 29* | 2015 |
| Overview of ImageCLEFtuberculosis 2020 - automatic CT-based report generation S Kozlovski, V Liauchuk, Y Dicente Cid, A Tarasau, V Kovalev, H Müller CLEF2020 Working Notes. CEUR Workshop Proceedings, 2020 | 27* | 2020 |
| PET-based prognostic survival model after radiotherapy for head and neck cancer J Castelli, A Depeursinge, A Devillers, B Campillo-Gimenez, ... European journal of nuclear medicine and molecular imaging, 1-12, 2018 | 24 | 2018 |
| Real-time multi-agent systems: rationality, formal model, and empirical results D Calvaresi, Y Dicente Cid, M Marinoni, AF Dragoni, A Najjar, ... Autonomous Agents and Multi-Agent Systems 35 (1), 1-37, 2021 | 20 | 2021 |
| MCOV: A Covariance Descriptor for Fusion of Texture and Shape Features in 3D Point Clouds P Cirujeda, X Mateo, Y Dicente Cid, X Binefa 3D Vision (3DV), 2014 2nd International Conference on 1, 551-558, 2014 | 20 | 2014 |
| Overview of ImageCLEFtuberculosis 2021: CT-based tuberculosis type classification S Kozlovski, V Liauchuk, Y Dicente Cid, V Kovalev, H Müller Proceedings of the CLEF 2021 Conference and Labs of the Evaluation Forum, 2021 | 17 | 2021 |
| QuantImage: An Online Tool for High-Throughput 3D Radiomics Feature Extraction in PET-CT Y Dicente Cid, J Castelli, R Schaer, N Scher, A Pomoni, JO Prior, ... Biomedical Texture Analysis, 349-377, 2018 | 15* | 2018 |
| Training Deep Neural Networks for Small and Highly Heterogeneous MRI Datasets for Cancer Grading M Wodzinski, T Banzato, M Atzori, V Andrearczyk, Y Dicente Cid, H Muller 2020 42nd Annual International Conference of the IEEE Engineering in …, 2020 | 12 | 2020 |
Henning MüllerProfessor in computer science at HES-SO & in radiology at the University of Geneva在 hevs.ch 的电子邮件经过验证
