Papers

2024

• Bone Age Prediciton Under Stress
• Bridging Pixels to Genes
• The Evolving Role of Artificial Intelligence in Gastrointestinal Histopathology: An Update
• FDA Review of Radiologic AI Algorithms: Process and Challenges
• MedYOLO: A Medical Image Object Detection Framework
• Synthetically enhanced: unveiling synthetic data's potential in medical imaging research
• Exploring the Effect of Domain-Specific Transfer Learning for Thyroid Nodule Classification
• Invited Commentary: The Double-edged Sword of Bias in Medical Imaging Artificial Intelligence
• THA-Net: A Deep Learning Solution for Next-Generation Templating and Patient-specific Surgical Execution
• Identifying Patients with CSF-Venous Fistula Using Brain MRI: A Deep Learning Approach
• A Multi-View Deep Learning Model for Thyroid Nodules Detection and Characterization in Ultrasound Imaging
• Generative Adversarial Networks for Brain MRI Synthesis: Impact of Training Set Size on Clinical Application
• Visualizing Clinical Data Retrieval and Curation in Multimodal Healthcare AI Research: A Technical Note on RIL-workflow
• THA-AID: Deep Learning Tool for Total Hip Arthroplasty Automatic Implant Detection With Uncertainty and Outlier Quantification
• Whole-body low-dose computed tomography in patients with newly diagnosed multiple myeloma predicts cytogenetic risk: a deep learning radiogenomics study
• Older Tissue Age Derived From Abdominal Computed Tomography Biomarkers of Muscle, Fat, and Bone Is Associated With Chronic Conditions and Higher Mortality
• Fully Automated Deep Learning Model to Detect Clinically Significant Prostate Cancer at MRI
• A Guideline for Open-Source Tools to Make Medical Imaging Data Ready for Artificial Intelligence Applications: A Society of Imaging Informatics in Medicine (SIIM) Survey--In Process
• Next
• Checklist for Reproducibility of Deep Learning in Medical Imaging--In Process

2023

• Quantifying Uncertainty in Deep Learning of Radiologic Images
• Reproducibility of Deep Learning Algorithms Developed for Medical Imaging Analysis: A Systematic Review
• Application of Natural Language Processing in Total Joint Arthroplasty: Opportunities and Challenges
• Anonymizing Radiographs Using an Object Detection Deep Learning Algorithm
• Few-shot biomedical image segmentation using diffusion models: Beyond image generation
• Artificial Intelligence in Radiology: Overview of Application Types, Design, and Challenges
• Clinical Implementation of an Artificial Intelligence Algorithm for Magnetic Resonance-Derived Measurement of Total Kidney Volume
• Deep learning approach for differentiating indeterminate adrenal masses using CT imaging
• A deep learning algorithm for detecting lytic bone lesions of multiple myeloma on CT
• Utility of new image-derived biomarkers for autosomal dominant polycystic kidney disease prognosis using automated instance cyst segmentation
• A Comparison of Three Different Deep Learning-Based Models to Predict the MGMT Promoter Methylation Status in Glioblastoma Using Brain MRI
• Creating High Fidelity Synthetic Pelvis Radiographs Using Generative Adversarial Networks: Unlocking the Potential of Deep Learning Models Without Patient Privacy Concerns

2022

• SOUP-GAN: Super-Resolution MRI Using Generative Adversarial Networks
• Machine Learning and Deep Learning in Cardiothoracic Imaging: A Scoping Review
• Mitigating Bias in Radiology Machine Learning: 1. Data Handling
• Mitigating Bias in Radiology Machine Learning: 2. Model Development
• Mitigating Bias in Radiology Machine Learning: 3. Performance Metrics
• Algebraic topology-based machine learning using MRI predicts outcomes in primary sclerosing cholangitis
• Patient-specific Hip Arthroplasty Dislocation Risk Calculator: An Explainable Multimodal Machine Learning-based Approach
• Getting More Out of Large Databases and EHRs with Natural Language Processing and Artificial Intelligence: The Future Is Here
• Deep Learning for Radiographic Measurement of Femoral Component Subsidence Following Total Hip Arthroplasty
• A deep learning model for discriminating true progression from pseudoprogression in glioblastoma patients
• Development of a deep learning model for the histologic diagnosis of dysplasia in Barrett's esophagus
• Automated measurement of total kidney volume from 3D ultrasound images of patients affected by polycystic kidney disease and comparison to MR measurements

Older

• Machine Learning for Medical Imaging
• Magician's Corner: How to Start Learning about Deep Learning
• Magician's Corner: How to Start Learning about Deep Learning
• Image display for clinicians on medical record workstations
• Part 1. Automated change detection and characterization in serial MR studies of brain-tumor patients