Advanced Automatic Segmentation of Tumors and Survival Prediction in Head and Neck Cancer (Englisch)
- Neue Suche nach: Salmanpour, Mohammad R.
- Neue Suche nach: Hajianfar, Ghasem
- Neue Suche nach: Rezaeijo, Seyed Masoud
- Neue Suche nach: Ghaemi, Mohammad
- Neue Suche nach: Rahmim, Arman
- Neue Suche nach: Andrearczyk, Vincent
- Weitere Informationen zu Andrearczyk, Vincent:
- https://orcid.org/https://orcid.org/0000-0003-0793-5821
- Neue Suche nach: Oreiller, Valentin
- Weitere Informationen zu Oreiller, Valentin:
- https://orcid.org/https://orcid.org/0000-0002-7794-6916
- Neue Suche nach: Hatt, Mathieu
- Weitere Informationen zu Hatt, Mathieu:
- https://orcid.org/https://orcid.org/0000-0002-8938-8667
- Neue Suche nach: Depeursinge, Adrien
- Weitere Informationen zu Depeursinge, Adrien:
- https://orcid.org/https://orcid.org/0000-0002-2362-0304
- Neue Suche nach: Salmanpour, Mohammad R.
- Neue Suche nach: Hajianfar, Ghasem
- Neue Suche nach: Rezaeijo, Seyed Masoud
- Neue Suche nach: Ghaemi, Mohammad
- Neue Suche nach: Rahmim, Arman
In:
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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Kapitel: 19
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202-210
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2022
- Aufsatz/Kapitel (Buch) / Elektronische Ressource
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Titel:Advanced Automatic Segmentation of Tumors and Survival Prediction in Head and Neck Cancer
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Weitere Titelangaben:Lect.Notes Computer
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Beteiligte:Andrearczyk, Vincent ( Herausgeber:in ) / Oreiller, Valentin ( Herausgeber:in ) / Hatt, Mathieu ( Herausgeber:in ) / Depeursinge, Adrien ( Herausgeber:in ) / Salmanpour, Mohammad R. ( Autor:in ) / Hajianfar, Ghasem ( Autor:in ) / Rezaeijo, Seyed Masoud ( Autor:in ) / Ghaemi, Mohammad ( Autor:in ) / Rahmim, Arman ( Autor:in )
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Kongress:3D Head and Neck Tumor Segmentation in PET/CT Challenge ; 2021 ; Strasbourg, France
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Erschienen in:Head and Neck Tumor Segmentation and Outcome Prediction : Second Challenge, HECKTOR 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021, Proceedings ; Kapitel: 19 ; 202-210Lecture Notes in Computer Science ; 13209 ; 202-210
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Verlag:
- Neue Suche nach: Springer International Publishing
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Erscheinungsort:Cham
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Erscheinungsdatum:13.03.2022
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Format / Umfang:9 pages
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ISBN:
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ISSN:
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DOI:
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Medientyp:Aufsatz/Kapitel (Buch)
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Format:Elektronische Ressource
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Sprache:Englisch
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Schlagwörter:
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Datenquelle:
Inhaltsverzeichnis E-Book
Die Inhaltsverzeichnisse werden automatisch erzeugt und basieren auf den im Index des TIB-Portals verfügbaren Einzelnachweisen der enthaltenen Beiträge. Die Anzeige der Inhaltsverzeichnisse kann daher unvollständig oder lückenhaft sein.
- 1
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Overview of the HECKTOR Challenge at MICCAI 2021: Automatic Head and Neck Tumor Segmentation and Outcome Prediction in PET/CT ImagesAndrearczyk, Vincent / Oreiller, Valentin / Boughdad, Sarah / Rest, Catherine Cheze Le / Elhalawani, Hesham / Jreige, Mario / Prior, John O. / Vallières, Martin / Visvikis, Dimitris / Hatt, Mathieu et al. | 2022
- 2
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CCUT-Net: Pixel-Wise Global Context Channel Attention UT-Net for Head and Neck Tumor SegmentationWang, Jiao / Peng, Yanjun / Guo, Yanfei / Li, Dapeng / Sun, Jindong et al. | 2022
- 3
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A Coarse-to-Fine Framework for Head and Neck Tumor Segmentation in CT and PET ImagesAn, Chengyang / Chen, Huai / Wang, Lisheng et al. | 2022
- 4
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Automatic Segmentation of Head and Neck (H&N) Primary Tumors in PET and CT Images Using 3D-Inception-ResNet ModelQayyum, Abdul / Benzinou, Abdesslam / Mazher, Moona / Abdel-Nasser, Mohamed / Puig, Domenec et al. | 2022
- 5
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The Head and Neck Tumor Segmentation in PET/CT Based on Multi-channel Attention NetworkWang, Guoshuai / Huang, Zhengyong / Shen, Hao / Hu, Zhanli et al. | 2022
- 6
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Multimodal Spatial Attention Network for Automatic Head and Neck Tumor Segmentation in FDG-PET and CT ImagesCho, Minjeong / Choi, Yujin / Hwang, Donghwi / Yie, Si Young / Kim, Hanvit / Lee, Jae Sung et al. | 2022
- 7
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PET Normalizations to Improve Deep Learning Auto-Segmentation of Head and Neck Tumors in 3D PET/CTRen, Jintao / Huynh, Bao-Ngoc / Groendahl, Aurora Rosvoll / Tomic, Oliver / Futsaether, Cecilia Marie / Korreman, Stine Sofia et al. | 2022
- 8
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The Head and Neck Tumor Segmentation Based on 3D U-NetXie, Juanying / Peng, Ying et al. | 2022
- 9
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3D U-Net Applied to Simple Attention Module for Head and Neck Tumor Segmentation in PET and CT ImagesLiu, Tao / Su, Yixin / Zhang, Jiabao / Wei, Tianqi / Xiao, Zhiyong et al. | 2022
- 10
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Skip-SCSE Multi-scale Attention and Co-learning Method for Oropharyngeal Tumor Segmentation on Multi-modal PET-CT ImagesDe Biase, Alessia / Tang, Wei / Sourlos, Nikos / Ma, Baoqiang / Guo, Jiapan / Sijtsema, Nanna Maria / van Ooijen, Peter et al. | 2022
- 11
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Head and Neck Cancer Primary Tumor Auto Segmentation Using Model Ensembling of Deep Learning in PET/CT ImagesNaser, Mohamed A. / Wahid, Kareem A. / van Dijk, Lisanne V. / He, Renjie / Abdelaal, Moamen Abobakr / Dede, Cem / Mohamed, Abdallah S. R. / Fuller, Clifton D. et al. | 2022
- 12
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Priori and Posteriori Attention for Generalizing Head and Neck Tumors SegmentationLu, Jiangshan / Lei, Wenhui / Gu, Ran / Wang, Guotai et al. | 2022
- 13
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Head and Neck Tumor Segmentation with Deeply-Supervised 3D UNet and Progression-Free Survival Prediction with Linear ModelGhimire, Kanchan / Chen, Quan / Feng, Xue et al. | 2022
- 14
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Deep Learning Based GTV Delineation and Progression Free Survival Risk Score Prediction for Head and Neck Cancer PatientsLang, Daniel M. / Peeken, Jan C. / Combs, Stephanie E. / Wilkens, Jan J. / Bartzsch, Stefan et al. | 2022
- 15
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Multi-task Deep Learning for Joint Tumor Segmentation and Outcome Prediction in Head and Neck CancerMeng, Mingyuan / Peng, Yige / Bi, Lei / Kim, Jinman et al. | 2022
- 16
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PET/CT Head and Neck Tumor Segmentation and Progression Free Survival Prediction Using Deep and Machine Learning TechniquesMartinez-Larraz, Alfonso / Martí Asenjo, Jaime / Álvarez Rodríguez, Beatriz et al. | 2022
- 17
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Automatic Head and Neck Tumor Segmentation and Progression Free Survival Analysis on PET/CT ImagesYuan, Yading / Adabi, Saba / Wang, Xuefeng et al. | 2022
- 18
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Multimodal PET/CT Tumour Segmentation and Prediction of Progression-Free Survival Using a Full-Scale UNet with AttentionBourigault, Emmanuelle / McGowan, Daniel R. / Mehranian, Abolfazl / Papież, Bartłomiej W. et al. | 2022
- 19
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Advanced Automatic Segmentation of Tumors and Survival Prediction in Head and Neck CancerSalmanpour, Mohammad R. / Hajianfar, Ghasem / Rezaeijo, Seyed Masoud / Ghaemi, Mohammad / Rahmim, Arman et al. | 2022
- 20
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Fusion-Based Head and Neck Tumor Segmentation and Survival Prediction Using Robust Deep Learning Techniques and Advanced Hybrid Machine Learning SystemsFatan, Mehdi / Hosseinzadeh, Mahdi / Askari, Dariush / Sheikhi, Hossein / Rezaeijo, Seyed Masoud / Salmanpour, Mohammad R. et al. | 2022
- 21
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Head and Neck Primary Tumor Segmentation Using Deep Neural Networks and Adaptive EnsemblingMurugesan, Gowtham Krishnan / Brunner, Eric / McCrumb, Diana / Kumar, Jithendra / VanOss, Jeff / Moore, Stephen / Peck, Anderson / Chang, Anthony et al. | 2022
- 22
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Segmentation and Risk Score Prediction of Head and Neck Cancers in PET/CT Volumes with 3D U-Net and Cox Proportional Hazard Neural NetworksYousefirizi, Fereshteh / Janzen, Ian / Dubljevic, Natalia / Liu, Yueh-En / Hill, Chloe / MacAulay, Calum / Rahmim, Arman et al. | 2022
- 23
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Dual-Path Connected CNN for Tumor Segmentation of Combined PET-CT Images and Application to Survival Risk PredictionLee, Jiyeon / Kang, Jimin / Shin, Emily Yunha / Kim, Regina E. Y. / Lee, Minho et al. | 2022
- 24
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Deep Supervoxel Segmentation for Survival Analysis in Head and Neck Cancer PatientsJuanco-Müller, Ángel Víctor / Mota, João F. C. / Goatman, Keith / Hoogendoorn, Corné et al. | 2022
- 25
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A Hybrid Radiomics Approach to Modeling Progression-Free Survival in Head and Neck CancersStarke, Sebastian / Thalmeier, Dominik / Steinbach, Peter / Piraud, Marie et al. | 2022
- 26
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An Ensemble Approach for Patient Prognosis of Head and Neck Tumor Using Multimodal DataSaeed, Numan / Al Majzoub, Roba / Sobirov, Ikboljon / Yaqub, Mohammad et al. | 2022
- 27
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Progression Free Survival Prediction for Head and Neck Cancer Using Deep Learning Based on Clinical and PET/CT Imaging DataNaser, Mohamed A. / Wahid, Kareem A. / Mohamed, Abdallah S. R. / Abdelaal, Moamen Abobakr / He, Renjie / Dede, Cem / van Dijk, Lisanne V. / Fuller, Clifton D. et al. | 2022
- 28
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Combining Tumor Segmentation Masks with PET/CT Images and Clinical Data in a Deep Learning Framework for Improved Prognostic Prediction in Head and Neck Squamous Cell CarcinomaWahid, Kareem A. / He, Renjie / Dede, Cem / Mohamed, Abdallah S. R. / Abdelaal, Moamen Abobakr / van Dijk, Lisanne V. / Fuller, Clifton D. / Naser, Mohamed A. et al. | 2022
- 29
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Self-supervised Multi-modality Image Feature Extraction for the Progression Free Survival Prediction in Head and Neck CancerMa, Baoqiang / Guo, Jiapan / De Biase, Alessia / Sourlos, Nikos / Tang, Wei / van Ooijen, Peter / Both, Stefan / Sijtsema, Nanna Maria et al. | 2022
- 30
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Comparing Deep Learning and Conventional Machine Learning for Outcome Prediction of Head and Neck Cancer in PET/CTHuynh, Bao-Ngoc / Ren, Jintao / Groendahl, Aurora Rosvoll / Tomic, Oliver / Korreman, Stine Sofia / Futsaether, Cecilia Marie et al. | 2022