Head and Neck Tumor Segmentation and Outcome Prediction
Third Challenge, HECKTOR 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings
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Article
Open AccessQuantImage v2: a comprehensive and integrated physician-centered cloud platform for radiomics and machine learning research
Radiomics, the field of image-based computational medical biomarker research, has experienced rapid growth over the past decade due to its potential to revolutionize the development of personalized decision su...
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Book and Conference Proceedings
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Chapter and Conference Paper
Overview of the HECKTOR Challenge at MICCAI 2022: Automatic Head and Neck Tumor Segmentation and Outcome Prediction in PET/CT
This paper presents an overview of the third edition of the HEad and neCK TumOR segmentation and outcome prediction (HECKTOR) challenge, organized as a satellite event of the 25th International Conference on M...
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Article
Open AccessReproducibility of lung cancer radiomics features extracted from data-driven respiratory gating and free-breathing flow imaging in [18F]-FDG PET/CT
Quality and reproducibility of radiomics studies are essential requirements for the standardisation of radiomics models. As recent data-driven respiratory gating (DDG) [18F]-FDG has shown superior diagnostic perf...
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Chapter and Conference Paper
Comparison of MR Preprocessing Strategies and Sequences for Radiomics-Based MGMT Prediction
Hypermethylation of the O6-methylguanine-DNA-methyltransferase (MGMT) promoter in glioblastoma (GBM) is a predictive biomarker associated with improved treatment outcome. In clinical practice, MGMT methylation...
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Book and Conference Proceedings
Head and Neck Tumor Segmentation and Outcome Prediction
Second Challenge, HECKTOR 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021, Proceedings
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Chapter and Conference Paper
Overview of the HECKTOR Challenge at MICCAI 2021: Automatic Head and Neck Tumor Segmentation and Outcome Prediction in PET/CT Images
This paper presents an overview of the second edition of the HEad and neCK TumOR (HECKTOR) challenge, organized as a satellite event of the 24th International Conference on Medical Image Computing and Computer...
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Book and Conference Proceedings
Head and Neck Tumor Segmentation
First Challenge, HECKTOR 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4, 2020, Proceedings
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Chapter and Conference Paper
Multi-task Deep Segmentation and Radiomics for Automatic Prognosis in Head and Neck Cancer
We propose a novel method for the prediction of patient prognosis with Head and Neck cancer (H&N) from FDG-PET/CT images. In particular, we aim at automatically predicting Disease-Free Survival (DFS) for patie...
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Chapter and Conference Paper
Fully Automatic Head and Neck Cancer Prognosis Prediction in PET/CT
Several recent PET/CT radiomics studies have shown promising results for the prediction of patient outcomes in Head and Neck (H&N) cancer. These studies, however, are most often conducted on relatively small c...
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Chapter and Conference Paper
Overview of the HECKTOR Challenge at MICCAI 2020: Automatic Head and Neck Tumor Segmentation in PET/CT
This paper presents an overview of the first HEad and neCK TumOR (HECKTOR) challenge, organized as a satellite event of the 23rd International Conference on Medical Image Computing and Computer Assisted Interv...
