Search results for "HECKTOR@MICCAI"

Hits ?▲	Authors	Title	Venue	Year	Link
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
1	Yading Yuan	Automatic Head and Neck Tumor Segmentation in PET/CT with Scale Attention Network.	HECKTOR@MICCAI	2020	DBLP DOI BibTeX RDF
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
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
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
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
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

Publications at "HECKTOR@MICCAI"( http://dblp.L3S.de/Venues/HECKTOR@MICCAI )