UB Paderborn / Katalog / Suche / in CDI

1 – 25 von 89

Sortiert nach

Head and Neck Tumor Segmentation and Outcome Prediction: Third Challenge, HECKTOR 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings

1st Edition 2023, 2023

Volltextzugriff (PDF)

Head and Neck Tumor Segmentation and Outcome Prediction: Second Challenge, HECKTOR 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021, Proceedings

1, 2022

Volltextzugriff (PDF)

Head and Neck Tumor Segmentation: First Challenge, HECKTOR 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4, 2020, Proceedings

1, 2021

Volltextzugriff (PDF)

Wide kernels and their DCT compression in convolutional networks for nuclei segmentation

Informatics in medicine unlocked, 2023, Vol.43, p.101403, Article 101403

2023

Volltextzugriff (PDF)

Reproducibility of lung cancer radiomics features extracted from data-driven respiratory gating and free-breathing flow imaging in [18F]-FDG PET/CT

European journal of hybrid imaging, 2022-10, Vol.6 (1), p.33-33, Article 33

2022

Volltextzugriff (PDF)

QuantImage v2: a comprehensive and integrated physician-centered cloud platform for radiomics and machine learning research

European radiology experimental, 2023-03, Vol.7 (1), p.16-16, Article 16

2023

Volltextzugriff (PDF)

Cleaning radiotherapy contours for radiomics studies, is it worth it? A head and neck cancer study

Clinical and translational radiation oncology, 2022-03, Vol.33, p.153-158

2022

Volltextzugriff (PDF)

Local rotation invariance in 3D CNNs

Medical image analysis, 2020-10, Vol.65, p.101756-101756, Article 101756

2020

Volltextzugriff (PDF)

Head and neck tumor segmentation in PET/CT: The HECKTOR challenge

Medical image analysis, 2022-04, Vol.77, p.102336-102336, Article 102336

2022

Volltextzugriff (PDF)

Head and Neck Tumor Segmentation Image Processing, Computer Vision, Pattern Recognition, and Graphics: First Challenge, HECKTOR 2020, Held in Conjunction With MICCAI 2020, Lima, Peru, October 4, 2020, Proceedings

1st Edition 2021, 2021

Volltextzugriff (PDF)

Squeeze-and-Excitation Normalization for Automated Delineation of Head and Neck Primary Tumors in Combined PET and CT Images

Head and Neck Tumor Segmentation, 2021, Vol.12603, p.37-43

2021

Volltextzugriff (PDF)

Overview of the HECKTOR Challenge at MICCAI 2020: Automatic Head and Neck Tumor Segmentation in PET/CT

Head and Neck Tumor Segmentation, 2021, Vol.12603, p.1-21

2021

Volltextzugriff (PDF)

Head and Neck Tumor Segmentation: First Challenge, HECKTOR 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4, 2020, Proceedings

2021

Volltextzugriff (PDF)

Automatic Head and Neck Tumor segmentation and outcome prediction relying on FDG-PET/CT images: Findings from the second edition of the HECKTOR challenge

Medical image analysis, 2023-12, Vol.90, p.102972-102972, Article 102972

2023

Volltextzugriff (PDF)

Overview of the HECKTOR Challenge at MICCAI 2022: Automatic Head and Neck Tumor Segmentation and Outcome Prediction in PET/CT

Head and Neck Tumor Segmentation and Outcome Prediction, 2023, Vol.13626, p.1-30

2023

Volltextzugriff (PDF)

Head and Neck Tumor Segmentation and Outcome Prediction: Second Challenge, HECKTOR 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021, Proceedings

2022

Volltextzugriff (PDF)

Tumor Segmentation in Patients with Head and Neck Cancers Using Deep Learning Based-on Multi-modality PET/CT Images

Head and Neck Tumor Segmentation, 2021, Vol.12603, p.85-98

2021

Volltextzugriff (PDF)

Multi-task Deep Segmentation and Radiomics for Automatic Prognosis in Head and Neck Cancer

Predictive Intelligence in Medicine, 2021, p.147-156

2021

Volltextzugriff (PDF)

Head and Neck Tumor Segmentation and Outcome Prediction: Third Challenge, HECKTOR 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings

2023

Volltextzugriff (PDF)

Head and Neck Cancer Primary Tumor Auto Segmentation Using Model Ensembling of Deep Learning in PET/CT Images

Head and Neck Tumor Segmentation and Outcome Prediction, 2022, Vol.13209, p.121-133

2022

Volltextzugriff (PDF)

Automatic Head and Neck Tumor Segmentation in PET/CT with Scale Attention Network

Head and Neck Tumor Segmentation, 2021, Vol.12603, p.44-52

2021

Volltextzugriff (PDF)

Simplicity Is All You Need: Out-of-the-Box nnUNet Followed by Binary-Weighted Radiomic Model for Segmentation and Outcome Prediction in Head and Neck PET/CT

Head and Neck Tumor Segmentation and Outcome Prediction, 2023, Vol.13626, p.121-134

2023

Volltextzugriff (PDF)

Fusion-Based Head and Neck Tumor Segmentation and Survival Prediction Using Robust Deep Learning Techniques and Advanced Hybrid Machine Learning Systems

Head and Neck Tumor Segmentation and Outcome Prediction, 2022, Vol.13209, p.211-223

2022

Volltextzugriff (PDF)

Radiomics-Enhanced Deep Multi-task Learning for Outcome Prediction in Head and Neck Cancer

Head and Neck Tumor Segmentation and Outcome Prediction, 2023, Vol.13626, p.135-143

2023

Volltextzugriff (PDF)

GAN-Based Bi-Modal Segmentation Using Mumford-Shah Loss: Application to Head and Neck Tumors in PET-CT Images

Head and Neck Tumor Segmentation, 2021, Vol.12603, p.99-108

2021

Volltextzugriff (PDF)

1 – 25 von 89

Suche als RSS-Feed

Suchergebnisse filtern

Filter anzeigen

Nur zeigen

Geprüft (Peer-Review)
(70)
Mit Volltextzugriff
(89)

Publikationsform

Sprache

Englisch
(89)

Erscheinungsjahr

n.n

Thema

Head And Neck Cancer
(31)
Deep Learning
(22)
Radiomics
(16)
Automatic Segmentation
(13)
Segmentation
(13)
Machine Learning
(12)
Computer Science
(10)
Medical Imaging
(10)
Science & Technology
(9)
Life Sciences & Biomedicine
(8)
Radiology, Nuclear Medicine & Medical Imaging
(8)
Cancer
(7)
Life Sciences
(7)
Pet-Ct
(7)
Tumor Segmentation
(7)
Artificial Intelligence
(6)
Computer Imaging, Vision, Pattern Recognition And Graphics
(6)
Image Processing
(6)
Outcome Prediction
(6)
Technology
(6)

15 weitere anzeigen...

Weniger anzeigen...

Zeitschrift / Serie

Menü

Weitere Dienste

Einstellungen

Head and Neck Tumor Segmentation and Outcome Prediction: Third Challenge, HECKTOR 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, 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

Head and Neck Tumor Segmentation: First Challenge, HECKTOR 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4, 2020, Proceedings

Wide kernels and their DCT compression in convolutional networks for nuclei segmentation

Reproducibility of lung cancer radiomics features extracted from data-driven respiratory gating and free-breathing flow imaging in [18F]-FDG PET/CT

QuantImage v2: a comprehensive and integrated physician-centered cloud platform for radiomics and machine learning research

Cleaning radiotherapy contours for radiomics studies, is it worth it? A head and neck cancer study

Local rotation invariance in 3D CNNs

Head and neck tumor segmentation in PET/CT: The HECKTOR challenge

Head and Neck Tumor Segmentation Image Processing, Computer Vision, Pattern Recognition, and Graphics: First Challenge, HECKTOR 2020, Held in Conjunction With MICCAI 2020, Lima, Peru, October 4, 2020, Proceedings

Squeeze-and-Excitation Normalization for Automated Delineation of Head and Neck Primary Tumors in Combined PET and CT Images

Overview of the HECKTOR Challenge at MICCAI 2020: Automatic Head and Neck Tumor Segmentation in PET/CT

Head and Neck Tumor Segmentation: First Challenge, HECKTOR 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4, 2020, Proceedings

Automatic Head and Neck Tumor segmentation and outcome prediction relying on FDG-PET/CT images: Findings from the second edition of the HECKTOR challenge

Overview of the HECKTOR Challenge at MICCAI 2022: Automatic Head and Neck Tumor Segmentation and Outcome Prediction in PET/CT

Head and Neck Tumor Segmentation and Outcome Prediction: Second Challenge, HECKTOR 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021, Proceedings

Tumor Segmentation in Patients with Head and Neck Cancers Using Deep Learning Based-on Multi-modality PET/CT Images

Multi-task Deep Segmentation and Radiomics for Automatic Prognosis in Head and Neck Cancer

Head and Neck Tumor Segmentation and Outcome Prediction: Third Challenge, HECKTOR 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings

Head and Neck Cancer Primary Tumor Auto Segmentation Using Model Ensembling of Deep Learning in PET/CT Images

Automatic Head and Neck Tumor Segmentation in PET/CT with Scale Attention Network

Simplicity Is All You Need: Out-of-the-Box nnUNet Followed by Binary-Weighted Radiomic Model for Segmentation and Outcome Prediction in Head and Neck PET/CT

Fusion-Based Head and Neck Tumor Segmentation and Survival Prediction Using Robust Deep Learning Techniques and Advanced Hybrid Machine Learning Systems

Radiomics-Enhanced Deep Multi-task Learning for Outcome Prediction in Head and Neck Cancer

GAN-Based Bi-Modal Segmentation Using Mumford-Shah Loss: Application to Head and Neck Tumors in PET-CT Images

Suchergebnisse filtern