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Book Synopsis

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.

Machine Learning in Medical Imaging

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    A Paperback by Xuanang Xu

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      View other formats and editions of Machine Learning in Medical Imaging by Xuanang Xu

      Publisher: Springer
      Publication Date: 23/10/2024
      ISBN13: 9783031732928, 978-3031732928
      ISBN10:
      Also in:
      Computing Computer vision

      Description

      Book Synopsis

      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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