Half day on Thu. 22.9, virtual and room Virgo 4, 11:50 to 15:20 (SGT time)

Registration: https://conferences.miccai.org/2022/en/REGISTRATION.html

Opening remarks
11:50 - 11:55: Adrien Depeursinge Introductory Talk by Organizers

11:55 - 12:20: The HECKTOR 2022 challenge, Vincent Andrearczyk, Valentin Oreiller, Martin Vallières, Clifton Dave Fuller, Mohamed Naser, Kareem Wahid, Abdallah Mohamed, Su Ruan, Pierre Decazes, Pierre Vera, Leo Capriotti, Habib Zaidi, Stephanie Tanadini-Lang, Agustina La Greca, Panagiotis Balermpas, Catherine Cheze-Le Rest, Olena Tankyevych, Dimitris Visvikis, Hesham Elhalawani,  Joël Castelli, Ricardo Dias-Correia, Sarah Boughdad, Mario Jreige, John O. Prior, Mathieu Hatt and Adrien Depeursinge

Oral Session 1: Automatic Segmentation of Primary Tumors and Lymph Nodes (Task 1), chair Kareem Wahid
12:20 - 12:35: A General Web-based Platform for Automatic Delineation of Head and Neck Gross Tumor Volumes in PET/CT Images, Hao Jiang, Jason Haimerl, Xuejun Gu and Weiguo Lu
12:35 - 12:50: A Coarse-to-Fine Aggregation Framework for Head and Neck Tumor and Lymph Segmentation in CT and PET Images, Xiao Sun, Chengyang An and Lisheng Wang
12:50 - 13:05: Automated head and neck tumor segmentation from 3D PET/CT, Andriy Myronenko, Md Mahfuzur Rahman Siddiquee, Dong Yang, Yufan He and Daguang Xu

Break
13:05 - 13:20

Keynote
13:20 - 14:05: Radiomics: History and To-Do List, Philippe Lambin

Oral Session 2: RFS Outcome Prediction (Task 2), chair Stephanie Tanadini-Lang
14:05 - 14:20: Deep learning and radiomics based PET/CT feature extraction combined with automatic tumor segmentation for outcome prediction in head and neck cancer patients, Baoqiang Ma, Yan Li, Hung Chu, Wei Tang, Luis Luis Ricardo De la O Arévalo, Jiapan Guo, Peter van Ooijen, Stefan Both, Johannes Albertus Langendijk, Lisanne V. van Dijk and Nanna Maria Sijtsema
14:20 - 14:35: Radiomics-enhanced Deep Multi-task Learning for Outcome Prediction in Head and Neck Cancer, Mingyuan Meng, Lei Bi, Dagan Feng and Jinman Kim
14:35 - 14:50: Head and Neck Tumor and Lymph Node Segmentation and Outcome Prediction from 18F-FDG PET/CT Images: Simplicity is All You Need, Louis Rebaud, Thibault Escobar, Fahad Khalid, Kibrom Girum and Irène Buvat
14:50 - 15:05: Recurrence-free Survival Prediction under the Guidance of Automatic Gross Tumor Volume Segmentation for Head and Neck Cancers, Kai Wang, Yunxiang Li, Michael Dohopolski, Tao Peng, Weiguo Lu, You Zhang and Jing Wang

Winners and Awards
15:05 - 15:15: Valentin Oreiller

Closing remarks: Feedback from Participants / What Next
15:15 - 15:20: Mathieu Hatt