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Trustworthy Machine Learning for Healthcare: First International Workshop, TML4H 2023, Virtual Event, May 4, 2023, Proceedings

1, 2023

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Development and validation of an interpretable model integrating multimodal information for improving ovarian cancer diagnosis

Nature communications, 2024-03, Vol.15 (1), p.2681-2681, Article 2681

2024

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Semi-Supervised Medical Image Classification With Relation-Driven Self-Ensembling Model

IEEE transactions on medical imaging, 2020-11, Vol.39 (11), p.3429-3440

2020

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Oxidative damages of maize seedlings caused by exposure to a combination of potassium deficiency and salt stress

Plant and soil, 2011-03, Vol.340 (1/2), p.443-452

2011

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Deep Mining External Imperfect Data for Chest X-Ray Disease Screening

IEEE transactions on medical imaging, 2020-11, Vol.39 (11), p.3583-3594

2020

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Effects of Cerium on Key Enzymes of Carbon Assimilation of Spinach Under Magnesium Deficiency

Biological trace element research, 2009-11, Vol.131 (2), p.154-164

2009

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Trustworthy Machine Learning for Healthcare: First International Workshop, TML4H 2023, Virtual Event, May 4, 2023, Proceedings

2023

Volltextzugriff (PDF)

Deep Omni-Supervised Learning for Rib Fracture Detection From Chest Radiology Images

IEEE transactions on medical imaging, 2024-05, Vol.43 (5), p.1972-1982

2024

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Triplet attention and dual-pool contrastive learning for clinic-driven multi-label medical image classification

Medical image analysis, 2023-05, Vol.86, p.102772-102772, Article 102772

2023

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Why Deep Surgical Models Fail?: Revisiting Surgical Action Triplet Recognition Through the Lens of Robustness

Trustworthy Machine Learning for Healthcare, 2023, Vol.13932, p.177-189

2023

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ExBEHRT: Extended Transformer for Electronic Health Records

Trustworthy Machine Learning for Healthcare, 2023, Vol.13932, p.73-84

2023

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Do Tissue Source Sites Leave Identifiable Signatures in Whole Slide Images Beyond Staining?

Trustworthy Machine Learning for Healthcare, 2023, Vol.13932, p.1-10

2023

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UD-MIL: Uncertainty-Driven Deep Multiple Instance Learning for OCT Image Classification

IEEE journal of biomedical and health informatics, 2020-12, Vol.24 (12), p.3431-3442

2020

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Rethinking Multiple Instance Learning for Whole Slide Image Classification: A Bag-Level Classifier is a Good Instance-Level Teacher

IEEE transactions on medical imaging, 2024-05, Vol.PP, p.1-1

2024

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Self-supervised Predictive Coding with Multimodal Fusion for Patient Deterioration Prediction in Fine-Grained Time Resolution

Trustworthy Machine Learning for Healthcare, 2023, Vol.13932, p.41-50

2023

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CGXplain: Rule-Based Deep Neural Network Explanations Using Dual Linear Programs

Trustworthy Machine Learning for Healthcare, 2023, Vol.13932, p.60-72

2023

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A Kernel Density Estimation Based Quality Metric for Quality Assessment of Obstetric Ultrasound Video

Trustworthy Machine Learning for Healthcare, 2023, Vol.13932, p.134-146

2023

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Privacy-Preserving Machine Learning for Healthcare: Open Challenges and Future Perspectives

Trustworthy Machine Learning for Healthcare, 2023, Vol.13932, p.25-40

2023

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Enhancing Healthcare Model Trustworthiness Through Theoretically Guaranteed One-Hidden-Layer CNN Purification

Trustworthy Machine Learning for Healthcare, 2023, Vol.13932, p.122-133

2023

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Cross-Domain Microscopy Cell Counting By Disentangled Transfer Learning

Trustworthy Machine Learning for Healthcare, 2023, Vol.13932, p.93-105

2023

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Geometry-Based End-to-End Segmentation of Coronary Artery in Computed Tomography Angiography

Trustworthy Machine Learning for Healthcare, 2023, Vol.13932, p.190-196

2023

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STASIS: Reinforcement Learning Simulators for Human-Centric Real-World Environments

Trustworthy Machine Learning for Healthcare, 2023, Vol.13932, p.85-92

2023

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Explaining Multiclass Classifiers with Categorical Values: A Case Study in Radiography

Trustworthy Machine Learning for Healthcare, 2023, Vol.13932, p.11-24

2023

Volltextzugriff (PDF)

Post-hoc Saliency Methods Fail to Capture Latent Feature Importance in Time Series Data

Trustworthy Machine Learning for Healthcare, 2023, Vol.13932, p.106-121

2023

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Conformal Prediction Masks: Visualizing Uncertainty in Medical Imaging

Trustworthy Machine Learning for Healthcare, 2023, Vol.13932, p.163-176

2023

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Trustworthy Machine Learning for Healthcare: First International Workshop, TML4H 2023, Virtual Event, May 4, 2023, Proceedings

Development and validation of an interpretable model integrating multimodal information for improving ovarian cancer diagnosis

Semi-Supervised Medical Image Classification With Relation-Driven Self-Ensembling Model

Oxidative damages of maize seedlings caused by exposure to a combination of potassium deficiency and salt stress

Deep Mining External Imperfect Data for Chest X-Ray Disease Screening

Effects of Cerium on Key Enzymes of Carbon Assimilation of Spinach Under Magnesium Deficiency

Trustworthy Machine Learning for Healthcare: First International Workshop, TML4H 2023, Virtual Event, May 4, 2023, Proceedings

Deep Omni-Supervised Learning for Rib Fracture Detection From Chest Radiology Images

Triplet attention and dual-pool contrastive learning for clinic-driven multi-label medical image classification

Why Deep Surgical Models Fail?: Revisiting Surgical Action Triplet Recognition Through the Lens of Robustness

ExBEHRT: Extended Transformer for Electronic Health Records

Do Tissue Source Sites Leave Identifiable Signatures in Whole Slide Images Beyond Staining?

UD-MIL: Uncertainty-Driven Deep Multiple Instance Learning for OCT Image Classification

Rethinking Multiple Instance Learning for Whole Slide Image Classification: A Bag-Level Classifier is a Good Instance-Level Teacher

Self-supervised Predictive Coding with Multimodal Fusion for Patient Deterioration Prediction in Fine-Grained Time Resolution

CGXplain: Rule-Based Deep Neural Network Explanations Using Dual Linear Programs

A Kernel Density Estimation Based Quality Metric for Quality Assessment of Obstetric Ultrasound Video

Privacy-Preserving Machine Learning for Healthcare: Open Challenges and Future Perspectives

Enhancing Healthcare Model Trustworthiness Through Theoretically Guaranteed One-Hidden-Layer CNN Purification

Cross-Domain Microscopy Cell Counting By Disentangled Transfer Learning

Geometry-Based End-to-End Segmentation of Coronary Artery in Computed Tomography Angiography

STASIS: Reinforcement Learning Simulators for Human-Centric Real-World Environments

Explaining Multiclass Classifiers with Categorical Values: A Case Study in Radiography

Post-hoc Saliency Methods Fail to Capture Latent Feature Importance in Time Series Data

Conformal Prediction Masks: Visualizing Uncertainty in Medical Imaging

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