WA1.L6.3

SS-CXR: SELF-SUPERVISED PRETRAINING USING CHEST X-RAYS TOWARDS A DOMAIN SPECIFIC FOUNDATION MODEL

Syed Muhammad Anwar, Abhijeet Parida, Children's National Hospital, United States of America; Sara Atito, Muhammad Awais, Joint position at the University of Surrey between the Centre for Vision, Speech and Signal Processing (CVSSP) and the Institute of People-Centred Artificial Intelligence., United Kingdom of Great Britain and Northern Ireland; Gustavo Nino, Children's National Hospital, United States of America; Josef Kittler, University of Surrey, Vision, Speech and Signal Processing (CVSSP), United Kingdom of Great Britain and Northern Ireland; Marius George Linguraru, Children's National Hospital, United States of America

Session:
WA1.L6: Medical Image Analysis - II Lecture

Track:
Biomedical Image Processing

Location:
Lecture Room 6

Presentation Time:
Wed, 30 Oct, 09:06 - 09:24 Gulf Standard Time (UTC +4)

Session Chair:
Hichem Sahbi, CNRS Sorbonne University
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Presentation
Discussion
Resources
Session WA1.L6
WA1.L6.1: Automated Segmentation of Lung Regions in 3D CT Scans Using Hybrid Unsupervised-Supervised Models
Ahmed Sharafeldeen, Department of Bioengineering, University of Louisville, USA, United States of America; Adel Khelifi, Computer Science and Information Technology Department, Abu Dhabi University, UAE, United Arab Emirates; Mohammed Ghazal, Maha Yaghi, Electrical, Computer and Biomedical Engineering Department, Abu Dhabi University, UAE, United Arab Emirates; Sohail Contractor, Department of Radiology, University of Louisville, USA, United States of America; Ayman El-Baz, Department of Bioengineering, University of Louisville, USA, United States of America
WA1.L6.2: CAFCT-NET: A CNN-TRANSFORMER HYBRID NETWORK WITH CONTEXTUAL AND ATTENTIONAL FEATURE FUSION FOR LIVER TUMOR SEGMENTATION
Ming Kang, Chee-Ming Ting, Fung Fung Ting, Raphaël C.-W. Phan, Monash University, Malaysia Campus, Malaysia
WA1.L6.3: SS-CXR: SELF-SUPERVISED PRETRAINING USING CHEST X-RAYS TOWARDS A DOMAIN SPECIFIC FOUNDATION MODEL
Syed Muhammad Anwar, Abhijeet Parida, Children's National Hospital, United States of America; Sara Atito, Muhammad Awais, Joint position at the University of Surrey between the Centre for Vision, Speech and Signal Processing (CVSSP) and the Institute of People-Centred Artificial Intelligence., United Kingdom of Great Britain and Northern Ireland; Gustavo Nino, Children's National Hospital, United States of America; Josef Kittler, University of Surrey, Vision, Speech and Signal Processing (CVSSP), United Kingdom of Great Britain and Northern Ireland; Marius George Linguraru, Children's National Hospital, United States of America
WA1.L6.4: MIX-DOMAIN CONTRASTIVE LEARNING FOR UNPAIRED H&E-TO-IHC STAIN TRANSLATION
Song Wang, Toronto Metropolitan University, Canada; Zhong Zhang, Zhengzhou University, China; Huan Yan, The First Affiliated Hospital of Zhengzhou University, China; Ming Xu, Zhongyuan University of Technology, China; Guanghui Wang, Toronto Metropolitan University, Canada
WA1.L6.5: ATU-NET: AN ADAPTIVE TRANSFORMATION-BASED U-NET FOR MEDICAL IMAGE SEGMENTATION
Qianyu Du, Baojiang Zhong, School of Computer Science and Technology, Soochow University, China; Kai-Kuang Ma, Nanjing University of Aeronautics and Astronautics, China
Contacts