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Nanna Maria Sijtsema
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2020 – today
- 2024
- [j3]Erfan Darzi, Yiqing Shen, Yangming Ou, Nanna Maria Sijtsema, Peter M. A. van Ooijen:
Tackling heterogeneity in medical federated learning via aligning vision transformers. Artif. Intell. Medicine 155: 102936 (2024) - [j2]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
:
Probability maps for deep learning-based head and neck tumor segmentation: Graphical User Interface design and test. Comput. Biol. Medicine 177: 108675 (2024) - [j1]Alessia De Biase
, Baoqiang Ma
, Jiapan Guo
, Lisanne van Dijk
, Johannes A. Langendijk
, Stefan Both, Peter M. A. van Ooijen
, Nanna Maria Sijtsema
:
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. 244: 107939 (2024) - 2023
- [c5]Baoqiang Ma, Jiapan Guo, Lisanne van Dijk, Peter M. A. van Ooijen, Stefan Both, Nanna Maria Sijtsema:
TransRP: Transformer-based PET/CT feature extraction incorporating clinical data for recurrence-free survival prediction in oropharyngeal cancer. MIDL 2023: 1640-1654 - [i6]Erfan Darzidehkalani, Nanna Maria Sijtsema, Peter M. A. van Ooijen:
A Comparative Study of Federated Learning Models for COVID-19 Detection. CoRR abs/2303.16141 (2023) - [i5]Erfan Darzi, Florian Dubost, Nanna Maria Sijtsema, Peter M. A. van Ooijen:
Exploring adversarial attacks in federated learning for medical imaging. CoRR abs/2310.06227 (2023) - [i4]Erfan Darzi, Nanna Maria Sijtsema, Peter M. A. van Ooijen:
Fed-Safe: Securing Federated Learning in Healthcare Against Adversarial Attacks. CoRR abs/2310.08681 (2023) - [i3]Erfan Darzi, Yiqing Shen, Nanna Maria Sijtsema, Peter M. A. van Ooijen:
Tackling Heterogeneity in Medical Federated learning via Vision Transformers. CoRR abs/2310.09444 (2023) - [i2]Erfan Darzi, Florian Dubost, Nanna Maria Sijtsema, Peter M. A. van Ooijen:
The Hidden Adversarial Vulnerabilities of Medical Federated Learning. CoRR abs/2310.13893 (2023) - 2022
- [c4]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
:
Swin UNETR for Tumor and Lymph Node Segmentation Using 3D PET/CT Imaging: A Transfer Learning Approach. HECKTOR@MICCAI 2022: 114-120 - [c3]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
:
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 2022: 240-254 - [i1]Alessia De Biase
, Nanna Maria Sijtsema
, Lisanne van Dijk
, Johannes A. Langendijk
, Peter M. A. van Ooijen
:
Slice-by-slice deep learning aided oropharyngeal cancer segmentation with adaptive thresholding for spatial uncertainty on FDG PET and CT images. CoRR abs/2207.01623 (2022) - 2021
- [c2]Alessia De Biase
, Wei Tang
, Nikos Sourlos
, Baoqiang Ma
, Jiapan Guo
, Nanna Maria Sijtsema
, Peter M. A. van Ooijen
:
Skip-SCSE Multi-scale Attention and Co-learning Method for Oropharyngeal Tumor Segmentation on Multi-modal PET-CT Images. HECKTOR@MICCAI 2021: 109-120 - [c1]Baoqiang Ma
, Jiapan Guo
, Alessia De Biase
, Nikos Sourlos
, Wei Tang
, Peter M. A. van Ooijen
, Stefan Both, Nanna Maria Sijtsema
:
Self-supervised Multi-modality Image Feature Extraction for the Progression Free Survival Prediction in Head and Neck Cancer. HECKTOR@MICCAI 2021: 308-317
Coauthor Index
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last updated on 2024-08-27 21:59 CEST by the dblp team
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