Reply to 'Importance of internal noise in models of observer performance'

Ideal observer approximation using Bayesian classification neural networks.

IEEE transactions on medical imaging·2001

Components-of-variance models for random-effects ROC analysis: the case of unequal variance structures across modalities.

Academic radiology·2001

Continuous versus categorical data for ROC analysis: some quantitative considerations.

Academic radiology·2001

Computerized classification of benign and malignant masses on digitized mammograms: a study of robustness.

Academic radiology·2000

Computer-aided diagnosis of pulmonary nodules: results of a large-scale observer test.

Radiology·1999

Effect of dominant features on neural network performance in the classification of mammographic lesions.

Physics in medicine and biology·1999

Estimation of LET distributions ofα-particles from measured scintillator-based trajectory images.

Physics in medicine and biology·2026

Asymmetric spectral filtering for spectral-overlap suppression and differential phase-contrast reconstruction in spatial harmonic imaging.

Physics in medicine and biology·2026

Eliminating Registration Bias in Synthetic CT Generation using a physics-based simulation framework for pelvic anatomy.

Physics in medicine and biology·2026

MGTP-Seg: A Mask Guidance and Text Prompting Network for Gross Tumor Volume Segmentation in Esophageal Cancer Radiotherapy.

Physics in medicine and biology·2026

Patient-Specific Stopping Power Calibration of Treatment Planning X-Ray CT Using Integrated Depth-Dose Profiles Acquired by Proton Transmission Imaging - A Feasibility Study.

Physics in medicine and biology·2026

A real-time image-guided six-degree-of-freedom internal-external correlation framework for motion monitoring on a standard linear accelerator.

Physics in medicine and biology·2026

Functional Prediction of Epitranscriptome.

Methods in molecular biology (Clifton, N.J.)·2026

Broken Networks: Why Your Machine Learning Model Isn't Learning and What to do About it.

Methods in molecular biology (Clifton, N.J.)·2026

Sensitivity of machine learning regression models to data structure and quality in crop yield prediction.

PloS one·2026

A Representation-Enhanced Anomaly Detection Model With Prototype Learning and Neighborhood Rough Set.

IEEE transactions on cybernetics·2026

Diffusion Model-Driven Spectral Noise Modeling and Generative Reconstruction Strategy.

Analytical chemistry·2026

Uncertainty Quantification with Domain Classification Models for Acetylcholinesterase Inhibition.

Journal of chemical information and modeling·2026

Related Experiment Videos

Reply to 'Importance of internal noise in models of observer performance'

Related Concept Videos

Ideal observer approximation using Bayesian classification neural networks.

Components-of-variance models for random-effects ROC analysis: the case of unequal variance structures across modalities.

Continuous versus categorical data for ROC analysis: some quantitative considerations.

Computerized classification of benign and malignant masses on digitized mammograms: a study of robustness.

Computer-aided diagnosis of pulmonary nodules: results of a large-scale observer test.

Effect of dominant features on neural network performance in the classification of mammographic lesions.

Estimation of LET distributions ofα-particles from measured scintillator-based trajectory images.

Asymmetric spectral filtering for spectral-overlap suppression and differential phase-contrast reconstruction in spatial harmonic imaging.

Eliminating Registration Bias in Synthetic CT Generation using a physics-based simulation framework for pelvic anatomy.

MGTP-Seg: A Mask Guidance and Text Prompting Network for Gross Tumor Volume Segmentation in Esophageal Cancer Radiotherapy.

Patient-Specific Stopping Power Calibration of Treatment Planning X-Ray CT Using Integrated Depth-Dose Profiles Acquired by Proton Transmission Imaging - A Feasibility Study.

A real-time image-guided six-degree-of-freedom internal-external correlation framework for motion monitoring on a standard linear accelerator.

Functional Prediction of Epitranscriptome.

Broken Networks: Why Your Machine Learning Model Isn't Learning and What to do About it.

Sensitivity of machine learning regression models to data structure and quality in crop yield prediction.

A Representation-Enhanced Anomaly Detection Model With Prototype Learning and Neighborhood Rough Set.

Diffusion Model-Driven Spectral Noise Modeling and Generative Reconstruction Strategy.

Uncertainty Quantification with Domain Classification Models for Acetylcholinesterase Inhibition.

Related Experiment Videos

Reply to 'Importance of internal noise in models of observer performance'

Related Concept Videos

Related Articles