Mark A. Lemley
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View article: Dynamic frame-by-frame motion correction for 18F-flurpiridaz PET-MPI using convolution neural network
Dynamic frame-by-frame motion correction for 18F-flurpiridaz PET-MPI using convolution neural network Open
Purpose Precise quantification of myocardial blood flow (MBF) and flow reserve (MFR) in 18 F-flurpiridaz PET significantly relies on motion correction (MC). However, the manual frame-by-frame correction leads to significant inter-observer …
View article: The REgistry of Flow and Perfusion Imaging for Artificial INtelligEnce with PET (REFINE PET): Rationale and Design
The REgistry of Flow and Perfusion Imaging for Artificial INtelligEnce with PET (REFINE PET): Rationale and Design Open
Rationale The REgistry of Flow and Perfusion Imaging for Artificial INtelligEnce with PET (REFINE PET) was established to aggregate PET and associated computed tomography (CT) images with clinical data from hospitals around the world into …
View article: Dynamic frame-by-frame motion correction for<sup>18</sup>F-flurpiridaz PET-MPI using convolution neural network
Dynamic frame-by-frame motion correction for<sup>18</sup>F-flurpiridaz PET-MPI using convolution neural network Open
Purpose Precise quantification of myocardial blood flow (MBF) and flow reserve (MFR) in 18F-flurpiridaz PET significantly relies on motion correction (MC). However, the manual frame-by-frame correction leads to significant inter-observer v…
View article: Multicenter Evaluation of Interpretable AI for Coronary Artery Disease Diagnosis from PET Biomarkers
Multicenter Evaluation of Interpretable AI for Coronary Artery Disease Diagnosis from PET Biomarkers Open
Background Positron emission tomography (PET)/CT for myocardial perfusion imaging (MPI) provides multiple imaging biomarkers, often evaluated separately. We developed an artificial intelligence (AI) model integrating key clinical PET MPI p…
View article: Multicenter Evaluation of Myocardial Flow Reserve as a Prognostic Marker for Mortality in ¹³N-Ammonia PET Myocardial Perfusion Imaging
Multicenter Evaluation of Myocardial Flow Reserve as a Prognostic Marker for Mortality in ¹³N-Ammonia PET Myocardial Perfusion Imaging Open
Background Myocardial flow reserve (MFR), measured by PET MPI, provides valuable information on epicardial coronary disease, diffuse atherosclerosis, and microvascular function. Despite its routine use, the prognostic efficacy of 13 N-ammo…
View article: AI-based identification of patients who benefit from revascularization: a multicenter study
AI-based identification of patients who benefit from revascularization: a multicenter study Open
Background and Aims Revascularization in stable coronary artery disease often relies on ischemia severity, but we introduce an AI-driven approach that uses clinical and imaging data to estimate individualized treatment effects and guide pe…
View article: Extracting memorized pieces of (copyrighted) books from open-weight language models
Extracting memorized pieces of (copyrighted) books from open-weight language models Open
Plaintiffs and defendants in copyright lawsuits over generative AI often make sweeping, opposing claims about the extent to which large language models (LLMs) have memorized plaintiffs' protected expression in their training data. Drawing …
View article: Deep learning-quantified body composition from positron emission tomography/computed tomography and cardiovascular outcomes: a multicentre study
Deep learning-quantified body composition from positron emission tomography/computed tomography and cardiovascular outcomes: a multicentre study Open
Background and Aims Positron emission tomography (PET)/computed tomography (CT) myocardial perfusion imaging (MPI) is a vital diagnostic tool, especially in patients with cardiometabolic syndrome. Low-dose CT scans are routinely performed …
View article: Artificial Intelligence–Enhanced Perfusion Scoring Improves the Diagnostic Accuracy of Myocardial Perfusion Imaging
Artificial Intelligence–Enhanced Perfusion Scoring Improves the Diagnostic Accuracy of Myocardial Perfusion Imaging Open
We previously demonstrated that a deep learning (DL) model of myocardial perfusion SPECT imaging improved accuracy for detection of obstructive coronary artery disease (CAD). We aimed to improve the clinical translatability of this artific…
View article: The Mirage of Artificial Intelligence Terms of Use Restrictions
The Mirage of Artificial Intelligence Terms of Use Restrictions Open
Artificial intelligence (AI) model creators commonly attach restrictive terms of use to both their models and their outputs. These terms typically prohibit activities ranging from creating competing AI models to spreading disinformation. O…
View article: Machine Unlearning Doesn't Do What You Think: Lessons for Generative AI Policy and Research
Machine Unlearning Doesn't Do What You Think: Lessons for Generative AI Policy and Research Open
"Machine unlearning" is a popular proposed solution for mitigating the existence of content in an AI model that is problematic for legal or moral reasons, including privacy, copyright, safety, and more. For example, unlearning is often inv…
View article: The Updated Registry of Fast Myocardial Perfusion Imaging with Next-Generation SPECT (REFINE SPECT 2.0)
The Updated Registry of Fast Myocardial Perfusion Imaging with Next-Generation SPECT (REFINE SPECT 2.0) Open
The Registry of Fast Myocardial Perfusion Imaging with Next-Generation SPECT (REFINE SPECT) has been expanded to include more patients and CT attenuation correction imaging. We present the design and initial results from the updated regist…
View article: Deep learning quantification of hypermetabolism in cardiac sarcoidosis
Deep learning quantification of hypermetabolism in cardiac sarcoidosis Open
Background Cardiac sarcoidosis is an inflammatory cardiomyopathy characterized by non-caseating granuloma formation. Diagnosis of cardiac sarcoidosis can be challenging, but 18F-fluorodeoxyglucose (FDG) positron emission tomography (PET) i…
View article: How Generative AI Turns Copyright Law Upside Down
How Generative AI Turns Copyright Law Upside Down Open
While courts are litigating many copyright issues involving generative AI, from who owns AI-generated works to the fair use of training to infringement by AI outputs, the most fundamental changes generative AI will bring to copyright law d…
View article: Holistic AI analysis of hybrid cardiac perfusion images for mortality prediction
Holistic AI analysis of hybrid cardiac perfusion images for mortality prediction Open
Background While low-dose computed tomography scans are traditionally used for attenuation correction in hybrid myocardial perfusion imaging (MPI), they also contain additional anatomic and pathologic information not utilized in clinical a…