Nanna Maria Sijtsema

18 papers Journal 12Unranked 6

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Uncertainty-aware deep learning for segmentation of primary tumor and pathologic lymph nodes in oropharyngeal cancer: Insights from a multi-center cohort. Comput. Medical Imaging Graph. Alessia De Biase, Nanna Maria Sijtsema, Lisanne van Dijk, Roel Steenbakkers, Johannes A. Langendijk, Peter M. A. van Ooijen
2025	J	`jnl`	Weight-space noise for privacy-robustness trade-offs in federated learning. Neural Comput. Appl. Erfan Darzi, Nanna Maria Sijtsema, Peter M. A. van Ooijen
2024	J	`jnl`	Deep learning-based outcome prediction using PET/CT and automatically predicted probability maps of primary tumor in patients with oropharyngeal cancer. Comput. Methods Programs Biomed. Alessia De Biase, Baoqiang Ma, Jiapan Guo, Lisanne van Dijk, Johannes A. Langendijk, Stefan Both, Peter M. A. van Ooijen, Nanna Maria Sijtsema
2024	J	`jnl`	Exploring Adversarial Attacks in Federated Learning for Medical Imaging. IEEE Trans. Ind. Informatics Erfan Darzi, Florian Dubost, Nanna Maria Sijtsema, Peter M. A. van Ooijen
2024	—	`conf`	MRI-Based Head and Neck Tumor Segmentation Using nnU-Net with 15-Fold Cross-Validation Ensemble. HNTS-MRG@MICCAI Frank N. Mol, Luuk van der Hoek, Baoqiang Ma, Bharath Chowdhary Nagam, Nanna Maria Sijtsema, Lisanne van Dijk, Kerstin Bunte, Rifka Vlijm, Peter M. A. van Ooijen
2024	J	`jnl`	Probability maps for deep learning-based head and neck tumor segmentation: Graphical User Interface design and test. Comput. Biol. Medicine Alessia De Biase, Liv Ziegfeld, Nanna Maria Sijtsema, Roel Steenbakkers, Robin Wijsman, Lisanne van Dijk, Johannes A. Langendijk, Fokie Cnossen, Peter M. A. van Ooijen
2024	J	`jnl`	Tackling heterogeneity in medical federated learning via aligning vision transformers. Artif. Intell. Medicine Erfan Darzi, Yiqing Shen, Yangming Ou, Nanna Maria Sijtsema, Peter M. A. van Ooijen
2023	J	`jnl`	A Comparative Study of Federated Learning Models for COVID-19 Detection. CoRR Erfan Darzidehkalani, Nanna Maria Sijtsema, Peter M. A. van Ooijen
2023	J	`jnl`	Exploring adversarial attacks in federated learning for medical imaging. CoRR Erfan Darzi, Florian Dubost, Nanna Maria Sijtsema, Peter M. A. van Ooijen
2023	J	`jnl`	Fed-Safe: Securing Federated Learning in Healthcare Against Adversarial Attacks. CoRR Erfan Darzi, Nanna Maria Sijtsema, Peter M. A. van Ooijen
2023	J	`jnl`	Tackling Heterogeneity in Medical Federated learning via Vision Transformers. CoRR Erfan Darzi, Yiqing Shen, Nanna Maria Sijtsema, Peter M. A. van Ooijen
2023	J	`jnl`	The Hidden Adversarial Vulnerabilities of Medical Federated Learning. CoRR Erfan Darzi, Florian Dubost, Nanna Maria Sijtsema, Peter M. A. van Ooijen
2023	—	`conf`	TransRP: Transformer-based PET/CT feature extraction incorporating clinical data for recurrence-free survival prediction in oropharyngeal cancer. MIDL Baoqiang Ma, Jiapan Guo, Lisanne van Dijk, Peter M. A. van Ooijen, Stefan Both, Nanna Maria Sijtsema
2022	—	`conf`	Deep Learning and Radiomics Based PET/CT Image Feature Extraction from Auto Segmented Tumor Volumes for Recurrence-Free Survival Prediction in Oropharyngeal Cancer Patients. HECKTOR@MICCAI Baoqiang Ma, Yan Li, Hung Chu, Wei Tang, Luis Ricardo De la O. Arévalo, Jiapan Guo, Peter M. A. van Ooijen, Stefan Both, Johannes A. Langendijk, Lisanne van Dijk, Nanna Maria Sijtsema
2022	J	`jnl`	Slice-by-slice deep learning aided oropharyngeal cancer segmentation with adaptive thresholding for spatial uncertainty on FDG PET and CT images. CoRR Alessia De Biase, Nanna Maria Sijtsema, Lisanne van Dijk, Johannes A. Langendijk, Peter M. A. van Ooijen
2022	—	`conf`	Swin UNETR for Tumor and Lymph Node Segmentation Using 3D PET/CT Imaging: A Transfer Learning Approach. HECKTOR@MICCAI Hung Chu, Luis Ricardo De la O. Arévalo, Wei Tang, Baoqiang Ma, Yan Li, Alessia De Biase, Stefan Both, Johannes A. Langendijk, Peter M. A. van Ooijen, Nanna Maria Sijtsema, Lisanne van Dijk
2021	—	`conf`	Self-supervised Multi-modality Image Feature Extraction for the Progression Free Survival Prediction in Head and Neck Cancer. HECKTOR@MICCAI Baoqiang Ma, Jiapan Guo, Alessia De Biase, Nikos Sourlos, Wei Tang, Peter M. A. van Ooijen, Stefan Both, Nanna Maria Sijtsema
2021	—	`conf`	Skip-SCSE Multi-scale Attention and Co-learning Method for Oropharyngeal Tumor Segmentation on Multi-modal PET-CT Images. HECKTOR@MICCAI Alessia De Biase, Wei Tang, Nikos Sourlos, Baoqiang Ma, Jiapan Guo, Nanna Maria Sijtsema, Peter M. A. van Ooijen