MICCAI 2023 LNQ challenge special issue

https://doi.org/10.59275/j.melba.2024-c96g

Guest editors:

• Steve Pieper, PhD, Isomics, Inc.
• Erik Ziegler, PhD, Yunu, Inc.
• Tawa Idris, MD, MGH
• Bhanusupriya Somarouthu, MD, Yunu, Inc.
• Reuben Dorent, PhD, BWH
• Gordon Harris, PhD, MGH
• Ron Kikinis, MD, BWH

3 papers

Weakly Supervised Lymph Nodes Segmentation Based on Partial Instance Annotations with Pre-trained Dual-branch Network and Pseudo Label Learning

2024/08/05
MICCAI 2023 LNQ challenge special issue

Litingyu WangUniversity of Electronic Science and Technology of China, Chengdu, China, Yijie QuUniversity of Electronic Science and Technology of China, Chengdu, China, Xiangde LuoUniversity of Electronic Science and Technology of China, Chengdu, China
Shanghai AI Laboratory, Shanghai, China, Wenjun LiaoUniversity of Electronic Science and Technology of China, Chengdu, China
Department of Radiation Oncology, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, Chengdu, China, Shichuan ZhangUniversity of Electronic Science and Technology of China, Chengdu, China
Department of Radiation Oncology, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, Chengdu, China, Guotai WangUniversity of Electronic Science and Technology of China, Chengdu, China
Shanghai AI Laboratory, Shanghai, China

PDF · Code · arXiv

Mask the Unknown: Assessing Different Strategies to Handle Weak Annotations in the MICCAI2023 Mediastinal Lymph Node Quantification Challenge

2024/06/14
MICCAI 2023 LNQ challenge special issue

Stefan M. FischerSchool of Computation, Information and Technology, Technical University Munich, Germany
Department of RadioOncology, Klinikum rechts der Isar, Technical University Munich, Germany
Institute of Machine Learning in Biomedical Imaging, Helmholtz Munich, Germany
Munich Center of Machine Learning (MCML), Germany, Johannes KiechleSchool of Computation, Information and Technology, Technical University Munich, Germany
Department of RadioOncology, Klinikum rechts der Isar, Technical University Munich, Germany
Institute of Machine Learning in Biomedical Imaging, Helmholtz Munich, Germany
Munich Center of Machine Learning (MCML), Germany, Daniel M. LangSchool of Computation, Information and Technology, Technical University Munich, Germany
Institute of Machine Learning in Biomedical Imaging, Helmholtz Munich, Germany, Jan C. PeekenDepartment of RadioOncology, Klinikum rechts der Isar, Technical University Munich, Germany, Julia A. SchnabelSchool of Computation, Information and Technology, Technical University Munich, Germany
Institute of Machine Learning in Biomedical Imaging, Helmholtz Munich, Germany
Munich Center of Machine Learning (MCML), Germany
School of Biomedical Engineering and Imaging Sciences, King’s College London, UK

PDF · Code · arXiv

LNQ Challenge 2023: Learning Mediastinal Lymph Node Segmentation with a Probabilistic Lymph Node Atlas

2024/05/19
MICCAI 2023 LNQ challenge special issue

Sofija EngelsonInstitute of Medical Informatics, University of Lübeck, Jan EhrhardtInstitute of Medical Informatics, University of Lübeck
German Research Center for Artificial Intelligence, Timo KeppGerman Research Center for Artificial Intelligence, Joshua NiemeijerGerman Aerospace Center, Heinz HandelsInstitute of Medical Informatics, University of Lübeck
German Research Center for Artificial Intelligence

PDF · Code · arXiv