Stephanie Tanadini-Lang
Orcid: 0000-0002-4387-1522
According to our database1,
Stephanie Tanadini-Lang
authored at least 11 papers
between 2021 and 2025.
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Bibliography
2025
CADS: A Comprehensive Anatomical Dataset and Segmentation for Whole-Body Anatomy in Computed Tomography.
CoRR, July, 2025
The added value for MRI radiomics and deep-learning for glioblastoma prognostication compared to clinical and molecular information.
CoRR, July, 2025
2024
The Multicentre Acute ischemic stroke imaGIng and Clinical data (MAGIC) repository: rationale and blueprint.
Frontiers Neuroinformatics, 2024
Multicenter Privacy-Preserving Model Training for Deep Learning Brain Metastases Autosegmentation.
CoRR, 2024
2023
2022
A 2.5D convolutional neural network for HPV prediction in advanced oropharyngeal cancer.
Comput. Biol. Medicine, 2022
A Fine-Tuned 3D U-Net for Primary Tumor and Affected Lymph Nodes Segmentation in Fused Multimodal Images of Oropharyngeal Cancer.
Proceedings of the Head and Neck Tumor Segmentation and Outcome Prediction, 2022
Overview of the HECKTOR Challenge at MICCAI 2022: Automatic Head and Neck Tumor Segmentation and Outcome Prediction in PET/CT.
Proceedings of the Head and Neck Tumor Segmentation and Outcome Prediction, 2022
Diagnostic Accuracy and Reliability of Deep Learning-Based Human Papillomavirus Status Prediction in Oropharyngeal Cancer.
Proceedings of 2022 International Conference on Medical Imaging and Computer-Aided Diagnosis, 2022
Suspicious Skin Lesion Detection in Wide-Field Body Images using Deep Learning Outlier Detection.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
2021
Comparison of MR Preprocessing Strategies and Sequences for Radiomics-Based MGMT Prediction.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2021