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ORCIDStephanie Tanadini-Lang
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2020 – today
- 2025
[i5]Daniel Abler, O. Pusterla, A. Joye-Kühnis, Nicolaus Andratschke, Meritxell Bach, A. Bink, S. M. Christ, Patric Hagmann, B. Pouymayou, E. Pravatà, Piotr Radojewski, Mauricio Reyes, L. Ruinelli, Roger Schaer, Bram Stieltjes, G. Treglia, Waldo Valenzuela, Roland Wiest, S. Zoergiebel, Matthias Guckenberger, Stephanie Tanadini-Lang, Adrien Depeursinge:
The added value for MRI radiomics and deep-learning for glioblastoma prognostication compared to clinical and molecular information. CoRR abs/2507.15548 (2025)- [i4]Murong Xu, Tamaz Amiranashvili, Fernando Navarro, Maksym Fritsak, Ibrahim Ethem Hamamci, Suprosanna Shit, Bastian Wittmann, Sezgin Er, Sebastian M. Christ, Ezequiel de la Rosa, Julian Deseoe, Robert Graf, Hendrik Kristian Möller, Anjany Sekuboyina, Jan C. Peeken, Anton S. Becker, Giulia Baldini, Johannes Haubold, Felix Nensa, René Hosch, Nikhil Mirajkar, Saad Khalid, Stefan Zachow, Marc-André Weber, Georg Langs, Jakob Wasserthal, Mehmet Kemal Özdemir, Andrey Fedorov, Ron Kikinis, Stephanie Tanadini-Lang, Jan S. Kirschke, Stephanie E. Combs, Bjoern H. Menze:
CADS: A Comprehensive Anatomical Dataset and Segmentation for Whole-Body Anatomy in Computed Tomography. CoRR abs/2507.22953 (2025) - [i3]Numan Saeed, Salma Hassan, Shahad Hardan, Ahmed Aly, Darya Taratynova, Umair Nawaz, Ufaq Khan, Muhammad Ridzuan, Vincent Andrearczyk, Adrien Depeursinge, Yutong Xie, Thomas Eugene, Raphaël Metz, Mélanie Dore, Gregory Delpon, Vijay Ram Papineni, Kareem A. Wahid, Cem Dede, Alaa Mohamed Shawky Ali, Carlos Sjogreen, Mohamed A. Naser, Clifton D. Fuller, Valentin Oreiller, Mario Jreige, John O. Prior, Catherine Cheze Le Rest, Olena Tankyevych, Pierre Decazes, Su Ruan, Stephanie Tanadini-Lang, Martin Vallières, Hesham Elhalawani, Ronan Abgral, Romain Floch, Kevin Kerleguer, Ulrike Schick, Maelle Mauguen, David Bourhis, Jean-Christophe Leclere, Amandine Sambourg, Arman Rahmim, Mathieu Hatt, Mohammad Yaqub:
A Multimodal and Multi-centric Head and Neck Cancer Dataset for Segmentation, Diagnosis and Outcome Prediction. CoRR abs/2509.00367 (2025) - 2024
- [j2]Hakim Baazaoui, Stefan T. Engelter, Henrik Gensicke, Lukas S. Enz, Marios Psychogios, Matthias Mutke, Patrik Michel, Davide Strambo, Alexander Salerno
, Henk A. Marquering, Paul H. J. Nederkoorn, Nabila Wali, Stephanie Tanadini-Lang, Björn H. Menze, Ezequiel de la Rosa, Kaiyuan Yang, Gian Marco De Marchis, Tolga D. Dittrich, Francesco Valletta, Manon Germann, Carlo W. Cereda, João Pedro Marto, Lisa Herzog, Patrick Hirschi, Zsolt Kulcsar, Susanne Wegener:
The Multicentre Acute ischemic stroke imaGIng and Clinical data (MAGIC) repository: rationale and blueprint. Frontiers Neuroinformatics 18 (2024) - [i2]Yixing Huang, Zahra Khodabakhshi, Ahmed Gomaa, Manuel A. Schmidt, Rainer Fietkau, Matthias Guckenberger, Nicolaus Andratschke, Christoph Bert, Stephanie Tanadini-Lang, Florian Putz:
Multicenter Privacy-Preserving Model Training for Deep Learning Brain Metastases Autosegmentation. CoRR abs/2405.10870 (2024) - 2023
- [i1]Vullnet Useini, Stephanie Tanadini-Lang, Quentin Lohmeyer, Mirko Meboldt, Nicolaus Andratschke, Ralph P. Braun, Javier Barranco Garcia:
Automatized Self-Supervised Learning for Skin Lesion Screening. CoRR abs/2311.06691 (2023) - 2022
- [j1]Agustina La Greca Saint-Esteven, Marta Bogowicz, Ender Konukoglu, Oliver Riesterer, Panagiotis Balermpas, Matthias Guckenberger, Stephanie Tanadini-Lang, Janita E. van Timmeren:
A 2.5D convolutional neural network for HPV prediction in advanced oropharyngeal cancer. Comput. Biol. Medicine 142: 105215 (2022) - [c5]Javier Barranco Garcia, Stephanie Tanadini-Lang, Nicolaus Andratschke, Mathias Gassner, Ralph P. Braun:
Suspicious Skin Lesion Detection in Wide-Field Body Images using Deep Learning Outlier Detection. EMBC 2022: 2928-2932 - [c4]Agustina La Greca Saint-Esteven, Chiara Marchiori, Marta Bogowicz, Javier Barranco Garcia, Zahra Khodabakhshi, Ender Konukoglu, Oliver Riesterer, Panagiotis Balermpas, Martin Hüllner, A. Cristiano I. Malossi, Matthias Guckenberger, Janita E. van Timmeren, Stephanie Tanadini-Lang:
Diagnostic Accuracy and Reliability of Deep Learning-Based Human Papillomavirus Status Prediction in Oropharyngeal Cancer. MICAD 2022: 281-291 - [c3]Vincent Andrearczyk, Valentin Oreiller, Moamen Abobakr, Azadeh Akhavanallaf, Panagiotis Balermpas, Sarah Boughdad, Leo Capriotti, Joël Castelli, Catherine Cheze Le Rest, Pierre Decazes, Ricardo Correia, Dina El-Habashy, Hesham Elhalawani, Clifton D. Fuller, Mario Jreige, Yomna Khamis, Agustina La Greca Saint-Esteven, Abdallah Sherif Radwan Mohamed, Mohamed A. Naser, John O. Prior, Su Ruan, Stephanie Tanadini-Lang, Olena Tankyevych, Yazdan Salimi, Martin Vallières, Pierre Vera, Dimitris Visvikis, Kareem A. Wahid, Habib Zaidi, Mathieu Hatt, Adrien Depeursinge:
Overview of the HECKTOR Challenge at MICCAI 2022: Automatic Head and Neck Tumor Segmentation and Outcome Prediction in PET/CT. HECKTOR@MICCAI 2022: 1-30 - [c2]Agustina La Greca Saint-Esteven, Laura Motisi, Panagiotis Balermpas, Stephanie Tanadini-Lang:
A Fine-Tuned 3D U-Net for Primary Tumor and Affected Lymph Nodes Segmentation in Fused Multimodal Images of Oropharyngeal Cancer. HECKTOR@MICCAI 2022: 86-93 - 2021
- [c1]Daniel Abler, Vincent Andrearczyk, Valentin Oreiller, Javier Barranco Garcia, Diem Vuong, Stephanie Tanadini-Lang, Matthias Guckenberger, Mauricio Reyes, Adrien Depeursinge:
Comparison of MR Preprocessing Strategies and Sequences for Radiomics-Based MGMT Prediction. BrainLes@MICCAI (2) 2021: 367-380
Coauthor Index
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last updated on 2025-11-22 05:02 CET by the dblp team
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