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Stephanie Tanadini-Lang
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2020 – today
- 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) - [c4]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 - [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
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last updated on 2024-10-07 22:10 CEST by the dblp team
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