Dror Lederman

Chest electrical impedance tomography examination, data analysis, terminology, clinical use and recommendations: consensus statement of the TRanslational EIT developmeNt stuDy group

Feature-Based Image Patch Approximation for Lung Tissue Classification

INbreast

Convolutional neural networks: an overview and application in radiology

Sarcoidosis

Quantitative Computerized Two-Point Correlation Analysis of Lung CT Scans Correlates With Pulmonary Function in Pulmonary Sarcoidosis

A survey on deep learning in medical image analysis

Prediction of breast cancer risk using a machine learning approach embedded with a locality preserving projection algorithm

Large scale deep learning for computer aided detection of mammographic lesions

A guide to deep learning in healthcare

Electrical impedance tomography to confirm correct placement of double-lumen tube: a feasibility study

Deep Learning for Brain MRI Segmentation: State of the Art and Future Directions

Enhancing deep convolutional neural network scheme for breast cancer diagnosis with unlabeled data

Artificial intelligence in radiology

Lung disease stratification using amalgamation of Riesz and Gabor transforms in machine learning framework

Combining extreme learning machines using support vector machines for breast tissue classification

Application of deep learning technique to manage COVID-19 in routine clinical practice using CT images: Results of 10 convolutional neural networks

Comparison of Digital Mammography Alone and Digital Mammography Plus Tomosynthesis in a Population-based Screening Program

Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning

Improving renewable energy policy planning and decision-making through a hybrid MCDM method

Medical image fusion: A survey of the state of the art

Digital Breast Tomosynthesis: Observer Performance Study

An initial investigation on developing a new method to predict short-term breast cancer risk based on deep learning technology

An anatomization on breast cancer detection and diagnosis employing multi-layer perceptron neural network (MLP) and Convolutional neural network (CNN)

Artificial intelligence in cancer imaging: Clinical challenges and applications

Pixel-level image fusion: A survey of the state of the art

A survey on ensemble learning

Multimodal Machine Learning: A Survey and Taxonomy

Breast Cancer Screening Using Tomosynthesis in Combination With Digital Mammography

Computerized prediction of risk for developing breast cancer based on bilateral mammographic breast tissue asymmetry

Computerized Detection of Breast Tissue Asymmetry Depicted on Bilateral Mammograms

Improving Breast Cancer Risk Stratification Using Resonance-Frequency Electrical Impedance Spectroscopy Through Fusion of Multiple Classifiers

A Preliminary Evaluation of Multi-probe Resonance-frequency Electrical Impedance Based Measurements of the Breast

Improving Performance of Computer-aided Detection of Masses by Incorporating Bilateral Mammographic Density Asymmetry: An Assessment

Computer-aided detection of early interstitial lung diseases using low-dose CT images

Acoustic Monitoring of Double-Lumen Ventilated Lungs for the Detection of Selective Unilateral Lung Ventilation

Computer-Aided Detection