Citation Impact
Citing Papers
A comparison of deep learning performance against health-care professionals in detecting diseases from medical imaging: a systematic review and meta-analysis
2019 Standout
Computer-aided detection (CAD) system for breast MRI in assessment of local tumor extent, nodal status, and multifocality of invasive breast cancers: preliminary study
2015
Radiogenomic Analysis of Breast Cancer: Luminal B Molecular Subtype Is Associated with Enhancement Dynamics at MR Imaging
2014
Machine Learning methods for Quantitative Radiomic Biomarkers
2015 Standout
Promises and challenges for the implementation of computational medical imaging (radiomics) in oncology
2017 Standout
Quantification of Heterogeneity as a Biomarker in Tumor Imaging: A Systematic Review
2014
STEP: Spatiotemporal enhancement pattern for MR‐based breast tumor diagnosis
2009
Explainable artificial intelligence (XAI) in deep learning-based medical image analysis
2022
Breast Nodules Computer-Aided Diagnostic System Design Using Fuzzy Cerebellar Model Neural Networks
2013
Breast Image Analysis for Risk Assessment, Detection, Diagnosis, and Treatment of Cancer
2013
Artificial intelligence in cancer imaging: Clinical challenges and applications
2019 Standout
Explainable Artificial Intelligence (XAI): What we know and what is left to attain Trustworthy Artificial Intelligence
2023 Standout
Classification of Dynamic Contrast Enhanced MR Images of Cervical Cancers Using Texture Analysis and Support Vector Machines
2014
Image Analysis for MRI Based Brain Tumor Detection and Feature Extraction Using Biologically Inspired BWT and SVM
2017 Standout
Works of Jacob Levman being referenced
Feature Selection in Computer-Aided Breast Cancer Diagnosis via Dynamic Contrast-Enhanced Magnetic Resonance Images
2012
Effect of the Enhancement Threshold on the Computer-Aided Detection of Breast Cancer using MRI
2009
A Margin Sharpness Measurement for the Diagnosis of Breast Cancer from Magnetic Resonance Imaging Examinations
2011
Sample-Size Determination Methodologies for Machine Learning in Medical Imaging Research: A Systematic Review
2019
Classification of Dynamic Contrast-Enhanced Magnetic Resonance Breast Lesions by Support Vector Machines
2008