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Stefan Both
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2020 – today
- 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
- [c6]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 - [i1]Adrian Thummerer, Erik van der Bijl, Arthur Jr Galapon, Joost J. C. Verhoeff, Johannes A. Langendijk, Stefan Both, Cornelis A. T. van den Berg, Matteo Maspero:
SynthRAD2023 Grand Challenge dataset: generating synthetic CT for radiotherapy. CoRR abs/2303.16320 (2023) - 2022
- [c5]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 - [c4]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 - 2021
- [c3]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
2010 – 2019
- 2011
- [c2]Najeeb Chowdhury, Jonathan Chappelow, Robert Toth, Sung Kim, Stephen Hahn, Neha Vapiwala, Haibo Lin, Stefan Both, Anant Madabhushi
:
Linked statistical shape models for multi-modal segmentation: application to prostate CT-MR segmentation in radiotherapy planning. Medical Imaging: Computer-Aided Diagnosis 2011: 796314 - 2010
- [c1]Jonathan Chappelow, Stefan Both, Satish Viswanath
, Stephen Hahn, Michael D. Feldman, Mark Rosen, John Tomaszewski, Neha Vapiwala, Pratik Patel, Anant Madabhushi:
Computer-assisted targeted therapy (CATT) for prostate radiotherapy planning by fusion of CT and MRI. Medical Imaging: Image-Guided Procedures 2010: 76252C
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last updated on 2024-08-05 20:25 CEST by the dblp team
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