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Results
Found 68 publication records. Showing 68 according to the selection in the facets
Hits ?▲ |
Authors |
Title |
Venue |
Year |
Link |
Author keywords |
1 | Vincent Andrearczyk, Valentin Oreiller, Mathieu Hatt, Adrien Depeursinge (eds.) |
Head and Neck Tumor Segmentation and Outcome Prediction - Third Challenge, HECKTOR 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings |
HECKTOR@MICCAI |
2023 |
DBLP DOI BibTeX RDF |
|
1 | Yiling Wang, Elia Lombardo, Lili Huang, Claus Belka, Marco Riboldi, Christopher Kurz, Guillaume Landry |
Head and Neck Cancer Localization with Retina Unet for Automated Segmentation and Time-To-Event Prognosis from PET/CT Images. |
HECKTOR@MICCAI |
2022 |
DBLP DOI BibTeX RDF |
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1 | Vajira Thambawita, Andrea M. Storås, Steven Alexander Hicks, Pål Halvorsen, Michael A. Riegler |
MLC at HECKTOR 2022: The Effect and Importance of Training Data When Analyzing Cases of Head and Neck Tumors Using Machine Learning. |
HECKTOR@MICCAI |
2022 |
DBLP DOI BibTeX RDF |
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1 | Seyed Masoud Rezaeijo, Ali Harimi, Mohammad R. Salmanpour |
Fusion-Based Automated Segmentation in Head and Neck Cancer via Advance Deep Learning Techniques. |
HECKTOR@MICCAI |
2022 |
DBLP DOI BibTeX RDF |
|
1 | Agustina La Greca Saint-Esteven, Laura Motisi, Panagiotis Balermpas, Stephanie Tanadini-Lang |
A Fine-Tuned 3D U-Net for Primary Tumor and Affected Lymph Nodes Segmentation in Fused Multimodal Images of Oropharyngeal Cancer. |
HECKTOR@MICCAI |
2022 |
DBLP DOI BibTeX RDF |
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1 | Louis Rebaud, Thibault Escobar, Fahad Khalid, Kibrom Girum, Irène Buvat |
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. |
HECKTOR@MICCAI |
2022 |
DBLP DOI BibTeX RDF |
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1 | Mingyuan Meng, Lei Bi 0001, Dagan Feng 0001, Jinman Kim |
Radiomics-Enhanced Deep Multi-task Learning for Outcome Prediction in Head and Neck Cancer. |
HECKTOR@MICCAI |
2022 |
DBLP DOI BibTeX RDF |
|
1 | Arnav Jain, Julia Huang, Yashwanth Ravipati, Gregory Cain, Aidan Boyd, Zezhong Ye, Benjamin H. Kann |
Head and Neck Primary Tumor and Lymph Node Auto-segmentation for PET/CT Scans. |
HECKTOR@MICCAI |
2022 |
DBLP DOI BibTeX RDF |
|
1 | Ángel Víctor Juanco-Müller, João F. C. Mota, Keith A. Goatman, Corné Hoogendoorn |
Towards Tumour Graph Learning for Survival Prediction in Head & Neck Cancer Patients. |
HECKTOR@MICCAI |
2022 |
DBLP DOI BibTeX RDF |
|
1 | Hao Jiang, Jason Haimerl, Xuejun Gu, Weiguo Lu |
A General Web-Based Platform for Automatic Delineation of Head and Neck Gross Tumor Volumes in PET/CT Images. |
HECKTOR@MICCAI |
2022 |
DBLP DOI BibTeX RDF |
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1 | Mohammad R. Salmanpour, Ghasem Hajianfar, Mahdi Hosseinzadeh, Seyed Masoud Rezaeijo, Mohammad Mehdi Hosseini, Ehsanhosein Kalatehjari, Ali Harimi, Arman Rahmim |
Deep Learning and Machine Learning Techniques for Automated PET/CT Segmentation and Survival Prediction in Head and Neck Cancer. |
HECKTOR@MICCAI |
2022 |
DBLP DOI BibTeX RDF |
|
1 | Qing Lyu 0008 |
Combining nnUNet and AutoML for Automatic Head and Neck Tumor Segmentation and Recurrence-Free Survival Prediction in PET/CT Images. |
HECKTOR@MICCAI |
2022 |
DBLP DOI BibTeX RDF |
|
1 | Zohaib Salahuddin, Yi Chen, Xian Zhong, Nastaran Mohammadian Rad, Henry C. Woodruff, Philippe Lambin |
HNT-AI: An Automatic Segmentation Framework for Head and Neck Primary Tumors and Lymph Nodes in FDG- PET/CT Images. |
HECKTOR@MICCAI |
2022 |
DBLP DOI BibTeX RDF |
|
1 | Kai Wang 0053, Yunxiang Li, Michael Dohopolski, Tao Peng 0013, Weiguo Lu, You Zhang 0003, Jing Wang 0022 |
Recurrence-Free Survival Prediction Under the Guidance of Automatic Gross Tumor Volume Segmentation for Head and Neck Cancers. |
HECKTOR@MICCAI |
2022 |
DBLP DOI BibTeX RDF |
|
1 | Xiao Sun, Chengyang An, Lisheng Wang |
A Coarse-to-Fine Ensembling Framework for Head and Neck Tumor and Lymph Segmentation in CT and PET Images. |
HECKTOR@MICCAI |
2022 |
DBLP DOI BibTeX RDF |
|
1 | Andriy Myronenko, Md Mahfuzur Rahman Siddiquee, Dong Yang 0005, Yufan He, Daguang Xu |
Automated Head and Neck Tumor Segmentation from 3D PET/CT HECKTOR 2022 Challenge Report. |
HECKTOR@MICCAI |
2022 |
DBLP DOI BibTeX RDF |
|
1 | Jianan Chen 0001, Anne L. Martel |
Head and Neck Tumor Segmentation with 3D UNet and Survival Prediction with Multiple Instance Neural Network. |
HECKTOR@MICCAI |
2022 |
DBLP DOI BibTeX RDF |
|
1 | Baoqiang Ma, Yan Li, Hung Chu, Wei Tang 0014, 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 |
DBLP DOI BibTeX RDF |
|
1 | Anthony Wang, Ti Bai, Dan Nguyen, Steve B. Jiang |
Octree Boundary Transfiner: Efficient Transformers for Tumor Segmentation Refinement. |
HECKTOR@MICCAI |
2022 |
DBLP DOI BibTeX RDF |
|
1 | Hui Xu, Yihao Li, Wei Zhao, Gwenolé Quellec, Lijun Lu, Mathieu Hatt |
Joint nnU-Net and Radiomics Approaches for Segmentation and Prognosis of Head and Neck Cancers with PET/CT Images. |
HECKTOR@MICCAI |
2022 |
DBLP DOI BibTeX RDF |
|
1 | Vincent Andrearczyk, Valentin Oreiller, Moamen Abobakr, Azadeh Akhavanallaf, Panagiotis Balermpas, Sarah Boughdad, Leo Capriotti, Joël Castelli, Catherine Cheze Le Rest, Pierre Decazes, Ricardo Correia 0006, Dina El-Habashy, Hesham Elhalawani, Clifton D. Fuller, Mario Jreige, Yomna Khamis, Agustina La Greca Saint-Esteven, Abdallah Sherif Radwan Mohamed, Mohamed A. Naser, John O. Prior, Su Ruan, Stephanie Tanadini-Lang, Olena Tankyevych, Yazdan Salimi, Martin Vallières, Pierre Vera, Dimitris Visvikis, Kareem A. Wahid, Habib Zaidi, Mathieu Hatt, Adrien Depeursinge |
Overview of the HECKTOR Challenge at MICCAI 2022: Automatic Head and Neck Tumor Segmentation and Outcome Prediction in PET/CT. |
HECKTOR@MICCAI |
2022 |
DBLP DOI BibTeX RDF |
|
1 | Yaying Shi, Xiaodong Zhang, Yonghong Yan 0001 |
Stacking Feature Maps of Multi-scaled Medical Images in U-Net for 3D Head and Neck Tumor Segmentation. |
HECKTOR@MICCAI |
2022 |
DBLP DOI BibTeX RDF |
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1 | Abhishek Srivastava, Debesh Jha, Bulent Aydogan, Mohamed E. Abazeed, Ulas Bagci |
Multi-scale Fusion Methodologies for Head and Neck Tumor Segmentation. |
HECKTOR@MICCAI |
2022 |
DBLP DOI BibTeX RDF |
|
1 | Vincent Andrearczyk, Valentin Oreiller, Mathieu Hatt, Adrien Depeursinge (eds.) |
Head and Neck Tumor Segmentation and Outcome Prediction - Second Challenge, HECKTOR 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021, Proceedings |
HECKTOR@MICCAI |
2022 |
DBLP DOI BibTeX RDF |
|
1 | Shadab Ahamed, Luke Polson, Arman Rahmim |
A U-Net Convolutional Neural Network with Multiclass Dice Loss for Automated Segmentation of Tumors and Lymph Nodes from Head and Neck Cancer PET/CT Images. |
HECKTOR@MICCAI |
2022 |
DBLP DOI BibTeX RDF |
|
1 | Hung Chu, Luis Ricardo De la O. Arévalo, Wei Tang 0014, 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 |
DBLP DOI BibTeX RDF |
|
1 | Baoqiang Ma, Jiapan Guo, Alessia De Biase, Nikos Sourlos, Wei Tang 0014, 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 |
DBLP DOI BibTeX RDF |
|
1 | Sebastian Starke, Dominik Thalmeier, Peter Steinbach, Marie Piraud |
A Hybrid Radiomics Approach to Modeling Progression-Free Survival in Head and Neck Cancers. |
HECKTOR@MICCAI |
2021 |
DBLP DOI BibTeX RDF |
|
1 | Ángel Víctor Juanco-Müller, João F. C. Mota, Keith A. Goatman, Corné Hoogendoorn |
Deep Supervoxel Segmentation for Survival Analysis in Head and Neck Cancer Patients. |
HECKTOR@MICCAI |
2021 |
DBLP DOI BibTeX RDF |
|
1 | Bao-Ngoc Huynh, Jintao Ren, Aurora Rosvoll Groendahl, Oliver Tomic, Stine Sofia Korreman, Cecilia Marie Futsaether |
Comparing Deep Learning and Conventional Machine Learning for Outcome Prediction of Head and Neck Cancer in PET/CT. |
HECKTOR@MICCAI |
2021 |
DBLP DOI BibTeX RDF |
|
1 | Tao Liu, Yixin Su, Jiabao Zhang, Tianqi Wei, Zhiyong Xiao |
3D U-Net Applied to Simple Attention Module for Head and Neck Tumor Segmentation in PET and CT Images. |
HECKTOR@MICCAI |
2021 |
DBLP DOI BibTeX RDF |
|
1 | Numan Saeed, Roba Al Majzoub, Ikboljon Sobirov, Mohammad Yaqub |
An Ensemble Approach for Patient Prognosis of Head and Neck Tumor Using Multimodal Data. |
HECKTOR@MICCAI |
2021 |
DBLP DOI BibTeX RDF |
|
1 | Jintao Ren, Bao-Ngoc Huynh, Aurora Rosvoll Groendahl, Oliver Tomic, Cecilia Marie Futsaether, Stine Sofia Korreman |
PET Normalizations to Improve Deep Learning Auto-Segmentation of Head and Neck Tumors in 3D PET/CT. |
HECKTOR@MICCAI |
2021 |
DBLP DOI BibTeX RDF |
|
1 | Abdul Qayyum, Abdesslam Benzinou, Moona Mazher, Mohamed Abdel-Nasser, Domenec Puig |
Automatic Segmentation of Head and Neck (H&N) Primary Tumors in PET and CT Images Using 3D-Inception-ResNet Model. |
HECKTOR@MICCAI |
2021 |
DBLP DOI BibTeX RDF |
|
1 | Mohamed A. Naser, Kareem A. Wahid, Lisanne van Dijk, Renjie He, Moamen Abobakr Abdelaal, Cem Dede, Abdallah Sherif Radwan Mohamed, Clifton D. Fuller |
Head and Neck Cancer Primary Tumor Auto Segmentation Using Model Ensembling of Deep Learning in PET/CT Images. |
HECKTOR@MICCAI |
2021 |
DBLP DOI BibTeX RDF |
|
1 | Alessia De Biase, Wei Tang 0014, 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 |
DBLP DOI BibTeX RDF |
|
1 | Mohammad R. Salmanpour, Ghasem Hajianfar, Seyed Masoud Rezaeijo, Mohammad Ghaemi, Arman Rahmim |
Advanced Automatic Segmentation of Tumors and Survival Prediction in Head and Neck Cancer. |
HECKTOR@MICCAI |
2021 |
DBLP DOI BibTeX RDF |
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1 | Emmanuelle Bourigault, Daniel R. McGowan, Abolfazl Mehranian, Bartlomiej W. Papiez |
Multimodal PET/CT Tumour Segmentation and Prediction of Progression-Free Survival Using a Full-Scale UNet with Attention. |
HECKTOR@MICCAI |
2021 |
DBLP DOI BibTeX RDF |
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1 | Jiyeon Lee, Jimin Kang, Emily Yunha Shin, Regina E. Y. Kim, Minho Lee |
Dual-Path Connected CNN for Tumor Segmentation of Combined PET-CT Images and Application to Survival Risk Prediction. |
HECKTOR@MICCAI |
2021 |
DBLP DOI BibTeX RDF |
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1 | Minjeong Cho, Yujin Choi, Donghwi Hwang, Si Young Yie, Hanvit Kim, Jae Sung Lee |
Multimodal Spatial Attention Network for Automatic Head and Neck Tumor Segmentation in FDG-PET and CT Images. |
HECKTOR@MICCAI |
2021 |
DBLP DOI BibTeX RDF |
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1 | Yading Yuan, Saba Adabi, Xuefeng Wang |
Automatic Head and Neck Tumor Segmentation and Progression Free Survival Analysis on PET/CT Images. |
HECKTOR@MICCAI |
2021 |
DBLP DOI BibTeX RDF |
|
1 | Mingyuan Meng, Yige Peng, Lei Bi 0001, Jinman Kim |
Multi-task Deep Learning for Joint Tumor Segmentation and Outcome Prediction in Head and Neck Cancer. |
HECKTOR@MICCAI |
2021 |
DBLP DOI BibTeX RDF |
|
1 | Chengyang An, Huai Chen, Lisheng Wang |
A Coarse-to-Fine Framework for Head and Neck Tumor Segmentation in CT and PET Images. |
HECKTOR@MICCAI |
2021 |
DBLP DOI BibTeX RDF |
|
1 | Jiangshan Lu, Wenhui Lei, Ran Gu, Guotai Wang |
Priori and Posteriori Attention for Generalizing Head and Neck Tumors Segmentation. |
HECKTOR@MICCAI |
2021 |
DBLP DOI BibTeX RDF |
|
1 | Juanying Xie, Ying Peng |
The Head and Neck Tumor Segmentation Based on 3D U-Net. |
HECKTOR@MICCAI |
2021 |
DBLP DOI BibTeX RDF |
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1 | Jiao Wang, Yanjun Peng, Yanfei Guo, Dapeng Li, Jindong Sun |
CCUT-Net: Pixel-Wise Global Context Channel Attention UT-Net for Head and Neck Tumor Segmentation. |
HECKTOR@MICCAI |
2021 |
DBLP DOI BibTeX RDF |
|
1 | Vincent Andrearczyk, Valentin Oreiller, Adrien Depeursinge (eds.) |
Head and Neck Tumor Segmentation - First Challenge, HECKTOR 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4, 2020, Proceedings |
HECKTOR@MICCAI |
2021 |
DBLP DOI BibTeX RDF |
|
1 | Mohamed A. Naser, Kareem A. Wahid, Abdallah Sherif Radwan Mohamed, Moamen Abobakr Abdelaal, Renjie He, Cem Dede, Lisanne van Dijk, Clifton D. Fuller |
Progression Free Survival Prediction for Head and Neck Cancer Using Deep Learning Based on Clinical and PET/CT Imaging Data. |
HECKTOR@MICCAI |
2021 |
DBLP DOI BibTeX RDF |
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1 | Fereshteh Yousefirizi, Ian Janzen, Natalia Dubljevic, Yueh-En Liu, Chloe Hill, Calum MacAulay, Arman Rahmim |
Segmentation and Risk Score Prediction of Head and Neck Cancers in PET/CT Volumes with 3D U-Net and Cox Proportional Hazard Neural Networks. |
HECKTOR@MICCAI |
2021 |
DBLP DOI BibTeX RDF |
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1 | Kareem A. Wahid, Renjie He, Cem Dede, Abdallah Sherif Radwan Mohamed, Moamen Abobakr Abdelaal, Lisanne van Dijk, Clifton D. Fuller, Mohamed A. Naser |
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 Carcinoma. |
HECKTOR@MICCAI |
2021 |
DBLP DOI BibTeX RDF |
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1 | Guoshuai Wang, Zhengyong Huang, Hao Shen, Zhanli Hu |
The Head and Neck Tumor Segmentation in PET/CT Based on Multi-channel Attention Network. |
HECKTOR@MICCAI |
2021 |
DBLP DOI BibTeX RDF |
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1 | Gowtham Krishnan Murugesan, Eric Brunner, Diana McCrumb, Jithendra Kumar, Jeff VanOss, Stephen Moore 0008, Anderson Peck, Anthony Chang |
Head and Neck Primary Tumor Segmentation Using Deep Neural Networks and Adaptive Ensembling. |
HECKTOR@MICCAI |
2021 |
DBLP DOI BibTeX RDF |
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1 | Mehdi Fatan, Mahdi Hosseinzadeh, Dariush Askari, Hossein Sheikhi, Seyed Masoud Rezaeijo, Mohammad R. Salmanpour |
Fusion-Based Head and Neck Tumor Segmentation and Survival Prediction Using Robust Deep Learning Techniques and Advanced Hybrid Machine Learning Systems. |
HECKTOR@MICCAI |
2021 |
DBLP DOI BibTeX RDF |
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1 | Alfonso Martinez-Larraz Solís, Jaime Marti Asenjo, Beatriz Álvarez Rodríguez |
PET/CT Head and Neck Tumor Segmentation and Progression Free Survival Prediction Using Deep and Machine Learning Techniques. |
HECKTOR@MICCAI |
2021 |
DBLP DOI BibTeX RDF |
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1 | Daniel M. Lang, Jan C. Peeken, Stephanie E. Combs, Jan J. Wilkens, Stefan Bartzsch |
Deep Learning Based GTV Delineation and Progression Free Survival Risk Score Prediction for Head and Neck Cancer Patients. |
HECKTOR@MICCAI |
2021 |
DBLP DOI BibTeX RDF |
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1 | Vincent Andrearczyk, Valentin Oreiller, Sarah Boughdad, Catherine Cheze Le Rest, Hesham Elhalawani, Mario Jreige, John O. Prior, Martin Vallières, Dimitris Visvikis, Mathieu Hatt, Adrien Depeursinge |
Overview of the HECKTOR Challenge at MICCAI 2021: Automatic Head and Neck Tumor Segmentation and Outcome Prediction in PET/CT Images. |
HECKTOR@MICCAI |
2021 |
DBLP DOI BibTeX RDF |
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1 | Kanchan Ghimire, Quan Chen, Xue Feng |
Head and Neck Tumor Segmentation with Deeply-Supervised 3D UNet and Progression-Free Survival Prediction with Linear Model. |
HECKTOR@MICCAI |
2021 |
DBLP DOI BibTeX RDF |
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1 | Juanying Xie, Ying Peng |
The Head and Neck Tumor Segmentation Using nnU-Net with Spatial and Channel 'Squeeze & Excitation' Blocks. |
HECKTOR@MICCAI |
2020 |
DBLP DOI BibTeX RDF |
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1 | Huai Chen, Haibin Chen, Lisheng Wang |
Iteratively Refine the Segmentation of Head and Neck Tumor in FDG-PET and CT Images. |
HECKTOR@MICCAI |
2020 |
DBLP DOI BibTeX RDF |
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1 | Chinmay Rao, Suraj Pai, Ibrahim Hadzic, Ivan Zhovannik, Dennis Bontempi, Andre Dekker, Jonas Teuwen, Alberto Traverso |
Oropharyngeal Tumour Segmentation Using Ensemble 3D PET-CT Fusion Networks for the HECKTOR Challenge. |
HECKTOR@MICCAI |
2020 |
DBLP DOI BibTeX RDF |
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1 | Fereshteh Yousefirizi, Arman Rahmim |
GAN-Based Bi-Modal Segmentation Using Mumford-Shah Loss: Application to Head and Neck Tumors in PET-CT Images. |
HECKTOR@MICCAI |
2020 |
DBLP DOI BibTeX RDF |
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1 | Yading Yuan |
Automatic Head and Neck Tumor Segmentation in PET/CT with Scale Attention Network. |
HECKTOR@MICCAI |
2020 |
DBLP DOI BibTeX RDF |
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1 | Andrei Iantsen, Dimitris Visvikis, Mathieu Hatt |
Squeeze-and-Excitation Normalization for Automated Delineation of Head and Neck Primary Tumors in Combined PET and CT Images. |
HECKTOR@MICCAI |
2020 |
DBLP DOI BibTeX RDF |
|
1 | Jun Ma 0016, Xiaoping Yang |
Combining CNN and Hybrid Active Contours for Head and Neck Tumor Segmentation in CT and PET Images. |
HECKTOR@MICCAI |
2020 |
DBLP DOI BibTeX RDF |
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1 | Mohamed A. Naser, Lisanne van Dijk, Renjie He, Kareem A. Wahid, Clifton D. Fuller |
Tumor Segmentation in Patients with Head and Neck Cancers Using Deep Learning Based-on Multi-modality PET/CT Images. |
HECKTOR@MICCAI |
2020 |
DBLP DOI BibTeX RDF |
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1 | Vincent Andrearczyk, Valentin Oreiller, Mario Jreige, Martin Vallières, Joël Castelli, Hesham Elhalawani, Sarah Boughdad, John O. Prior, Adrien Depeursinge |
Overview of the HECKTOR Challenge at MICCAI 2020: Automatic Head and Neck Tumor Segmentation in PET/CT. |
HECKTOR@MICCAI |
2020 |
DBLP DOI BibTeX RDF |
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1 | Simeng Zhu, Zhenzhen Dai, Ning Wen |
Two-Stage Approach for Segmenting Gross Tumor Volume in Head and Neck Cancer with CT and PET Imaging. |
HECKTOR@MICCAI |
2020 |
DBLP DOI BibTeX RDF |
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1 | Kanchan Ghimire, Quan Chen, Xue Feng 0001 |
Patch-Based 3D UNet for Head and Neck Tumor Segmentation with an Ensemble of Conventional and Dilated Convolutions. |
HECKTOR@MICCAI |
2020 |
DBLP DOI BibTeX RDF |
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