Multimodal Learning For Clinical Decision Support And Clinical Image Based Procedures


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Multimodal Learning for Clinical Decision Support and Clinical Image-Based Procedures


Multimodal Learning for Clinical Decision Support and Clinical Image-Based Procedures

Author: Tanveer Syeda-Mahmood

language: en

Publisher: Springer Nature

Release Date: 2020-10-03


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This book constitutes the refereed joint proceedings of the 10th International Workshop on Multimodal Learning for Clinical Decision Support, ML-CDS 2020, and the 9th International Workshop on Clinical Image-Based Procedures, CLIP 2020, held in conjunction with the 23rd International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2020, in Lima, Peru, in October 2020. The workshops were held virtually due to the COVID-19 pandemic. The 4 full papers presented at ML-CDS 2020 and the 9 full papers presented at CLIP 2020 were carefully reviewed and selected from numerous submissions to ML-CDS and 10 submissions to CLIP. The ML-CDS papers discuss machine learning on multimodal data sets for clinical decision support and treatment planning. The CLIP workshops provides a forum for work centered on specific clinical applications, including techniques and procedures based on comprehensive clinical image and other data.

Clinical Image-Based Procedures


Clinical Image-Based Procedures

Author: Klaus Drechsler

language: en

Publisher: Springer Nature

Release Date: 2024-09-28


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This book constitutes the proceedings of the 13th Workshop on Clinical Image-Based Procedures, CLIP 2024, held in conjunction with the 27th International conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2024, in Marrakesh, Morocco in October 2024. The 9 full papers included in this book were carefully reviewed and selected from 11 submissions. They deal with Clinical image-based procedures, focusing on holistic patient models as an important step towards personalized healthcare.

Multimodal Learning for Clinical Decision Support


Multimodal Learning for Clinical Decision Support

Author: Tanveer Syeda-Mahmood

language: en

Publisher: Springer Nature

Release Date: 2021-10-19


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This book constitutes the refereed joint proceedings of the 11th International Workshop on Multimodal Learning for Clinical Decision Support, ML-CDS 2021, held in conjunction with the 24th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2021, in Strasbourg, France, in October 2021. The workshop was held virtually due to the COVID-19 pandemic. The 10 full papers presented at ML-CDS 2021 were carefully reviewed and selected from numerous submissions. The ML-CDS papers discuss machine learning on multimodal data sets for clinical decision support and treatment planning.