Overview

This book constitutes the proceedings of the 15th International Workshop on Machine Learning in Medical Imaging, MLMI 2024, held in conjunction with MICCAI 2024, Marrakesh, Morocco, on October 6, 2024. The 63 full papers presented in this volume were carefully reviewed and selected from 100 submissions. They focus on major trends and challenges in the above-mentioned area, aiming to identify new-cutting-edge techniques and their uses in medical imaging using artificial intelligence (AI) and machine learning (ML).

Full Product Details

Author:   Xuanang Xu ,  Zhiming Cui ,  Islem Rekik ,  Xi Ouyang
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   2024 ed.
Volume:   15242
ISBN:  

9783031732928

ISBN 10:   3031732928
Pages:   247
Publication Date:   23 October 2024
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Not yet available  
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Table of Contents

Robust Box Prompt based SAM for Medical Image Segmentation.- Multi-task Learning Approach for Intracranial Hemorrhage Prognosis.- Mitigating False Predictions In Unreasonable Body Regions.- UniFed: A Universal Federation of a Mixture of Highly Heterogeneous Medical Image Classification Tasks.- Tackling domain generalization for out-of-distribution endoscopic imaging.- Benchmarking Dependence Measures to Prevent Shortcut Learning in Medical Imaging.- Selective Classifier Based Search Space Shrinking for Radiographs Retrieval.- Pseudo-Rendering for Resolution and Topology-Invariant Cortical Parcellation.- Partially Supervised Unpaired Multi-Modal Learning for Label-Efficient Medical Image Segmentation.- VIS-MAE: An Efficient Self-Supervised Learning Approach on Medical Image Segmentation and Classification.- Transformer-based Parameter Fitting of Models derived from Bloch-McConnell Equations for CEST MRI Analysis.- Probabilistic 3D Correspondence Prediction from Sparse Unsegmented Images.- StoDIP: Efficient 3D MRF image reconstruction with deep image priors and stochastic iterations.- Detection of Emerging Infectious Diseases in Lung CT based on Spatial Anomaly Patterns.- Data Alchemy: Mitigating Cross-Site Model Variability Through Test Time Data Calibration.- Noise-robust onformal prediction for medical image classification.- Identifying Critical Tokens for Accurate Predictions in Transformer-based Medical Imaging Models.-Resource-efficient Medical Image Analysis with Self-adapting Forward-Forward Networks.- SDF-Net: A Hybrid Detection Network for Mediastinal Lymph Node Detection on Contrast CT Images.- Arges: Spatio-Temporal Transformer for Ulcerative Colitis Severity Assessment in Endoscopy Videos.- Characterizing the Histology Spatial Intersections between Tumor-infiltrating Lymphocytes and Tumors for Survival Prediction of Cancers Via Graph Contrastive Learning.-Identifying Nonalcoholic Fatty Liver Disease and Adanced Liver Fibrosis from MRI in UK Biobank.- Explainable and Controllable Motion Curve Guided Cardiac Ultrasound Video Generation.

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