25 Patents
- US125783382026Radiomic Heterogeneity as Prognostic Predictor for Treatment with CDK 4/6 Inhibitors in Hormone Receptor-positive Metastatic Breast Cancer
UH Cleveland Medical Center
0 cites - US125307702026Deep-learning-based Hepatic Fat Assessment
University Hospitals Cleveland Medical Center
0 cites - US125117372025Phenotyping Tumor Infiltrating Lymphocytes on Hematoxylin and Eosin (H and E) Stained Tissue Images to Predict Recurrence in Lung Cancer
Case Western Reserve University
0 cites - 0 cites
- US123767502025Tumor Characterization and Outcome Prediction Through Quantitative Measurements of Tumor-associated Vasculature
The United States Government As Represented By The Department Of Veteran Affairs
0 cites - 0 cites
- USRE0502862025Intra-perinodular Textural Transition (ipris): a Three Dimenisonal (3D) Descriptor for Nodule Diagnosis on Lung Computed Tomography (CT) Images
Case Western Reserve University
0 cites - US121594032024Combination of Features from Biopsies and Scans to Predict Prognosis in SCLC
The United States Government As Represented By The Department Of Veteran Affairs
0 cites - US120735602024Computational Features of Tumor-infiltrating Lymphocyte (TIL) Architecture
University Of Pittsburgh—of The Commonwealth System Of Higher Education
0 cites - US120144882024Distinguishing Colon Cancer Stages Based on Computationally Derived Morphological Features of Cancer Nuclei
The United States Government As Represente
0 cites - US120087472024Population-specific Prediction of Prostate Cancer Recurrence Based on Stromal Morphology Features
Case Western Reserve University
0 cites - US119838682024Predicting Neo-adjuvant Chemotherapy Response from Pre-treatment Breast Magnetic Resonance Imaging Using Artificial Intelligence and HER2 Status
Case Western Reserve University
0 cites - US119226252024Predicting Overall Survival in Early Stage Lung Cancer with Feature Driven Local Cell Graphs (fedeg)
Case Western Reserve University
0 cites - US118963492024Tumor Characterization and Outcome Prediction Through Quantitative Measurements of Tumor-associated Vasculature
The United States Government As Represented By The Department Of Veteran Affairs
0 cites - US118618362024Image Analysis Method, Estimating Device, Estimating System, and Storage Medium
APSAM Imaging Corp.
0 cites - US118172042023Specialized Computer-aided Diagnosis and Disease Characterization with a Multi-focal Ensemble of Convolutional Neural Networks
The United States Government As Represented By The Department Of Veteran Affairs
0 cites - US118102922023Disease Characterization and Response Estimation Through Spatially-invoked Radiomics and Deep Learning Fusion
Case Western Reserve University
0 cites - US117981792023Structural Rectal Atlas Deformation Features for Characterizing Intra-wall and Peri-wall Chemoradiation Response on Magnetic Resonance Imaging (MRI)
Case Western Reserve University
0 cites - US116767032023Combination of Radiomic and Pathomic Features in the Prediction of Prognoses for Tumors
Case Western Reserve University
0 cites - US116457532023Deep Learning-based Multi-site, Multi-primitive Segmentation for Nephropathology Using Renal Biopsy Whole Slide Images
The Cleveland Clinic Foundation
0 cites - US116103042023Predicting Tumor Prognoses Based on a Combination of Radiomic and Clinico-pathological Features
Case Western Reserve University
0 cites - US115766402023Fractal Analysis of Left Atrium to Predict Atrial Fibrillation Recurrence
The Cleveland Clinic Foundation
0 cites - US115744042023Predicting Recurrence and Overall Survival Using Radiomic Features Correlated with PD-L1 Expression in Early Stage Non-small Cell Lung Cancer (ES-NSCLC)
The Cleveland Clinic Foundation
0 cites - US115558772023Radiographic-deformation and Textural Heterogeneity (r-depth): an Integrated Descriptor for Brain Tumor Prognosis
Case Western Reserve University
0 cites - US115407962023Prediction of Risk of Post-ablation Atrial Fibrillation Based on Radiographic Features of Pulmonary Vein Morphology from Chest Imaging
The Cleveland Clinic Foundation
0 cites