Machine Learning in Medical Imaging
portes grátis
Machine Learning in Medical Imaging
15th International Workshop, MLMI 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 6, 2024, Proceedings, Part II
Cui, Zhiming; Xu, Xuanang; Ouyang, Xi; Sun, Kaicong; Rekik, Islem
Springer International Publishing AG
12/2024
243
Mole
9783031732928
Pré-lançamento - envio 15 a 20 dias após a sua edição
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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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artificial intelligence;bioinformatics;computer networks;computer science;computer systems;computer vision;deep learning;education;engineering;image analysis;image processing;image quality;image segmentation;internet;learning;machine learning;medical images;neural networks;pattern recognition
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.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
