D. Lederman

Bin Zheng, Yu. A. Mednikov, Yuval Mednikov, 2018, 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

An Interactive System for Computer-Aided Diagnosis of Breast Masses

Lihua Li, Wei Liu, Weidong Xu, 2012, Journal of Digital Imaging.

Computer-Aided Diagnosis for Endotracheal Intubation Confirmation using Video-image Classification

Dror Lederman, D. Lederman, 2017, ICPRAM.

Classification of thyroid nodules using a resonance-frequency-based electrical impedance spectroscopy: progress assessment

David Gur, Bin Zheng, Dror Lederman, 2012, Medical Imaging.

Multi-probe-based resonance-frequency electrical impedance spectroscopy for detection of suspicious breast lesions: improving performance using partial ROC optimization

David Gur, Xiao Hui Wang, Bin Zheng, 2011, Medical Imaging.

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

David Gur, Bin Zheng, Dror Lederman, 2011, Annals of Biomedical Engineering.

A preliminary evaluation of multi-probe resonance-frequency electrical impedance based measurements of the breast.

David Gur, Bin Zheng, Dror Lederman, 2011, Academic radiology.

A support vector machine designed to identify breasts at high risk using multi-probe generated REIS signals: a preliminary assessment

David Gur, Margarita L. Zuley, Bin Zheng, 2010, Medical Imaging.

Classification of cries of infants with cleft-palate using parallel hidden Markov models

Dror Lederman, Kathleen Wermke, Ehud Zmora, 2008, Medical & Biological Engineering & Computing.

On the use of hidden Markov models in infants' cry classification

A. Cohen, D. Lederman, K. Wermke, 2002, The 22nd Convention on Electrical and Electronics Engineers in Israel, 2002..

Automatic Computerized Endotracheal Tube Position Verification: An Animal Model Evaluation

D. Lederman, M. Shamir, D. Gravenstein, 2011, Anesthesia and analgesia.

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

Bin Zheng, Dror Lederman, Xingwei Wang, 2011, Medical engineering & physics.

Computerized detection of breast tissue asymmetry depicted on bilateral mammograms: a preliminary study of breast risk stratification.

Bin Zheng, Dror Lederman, Xingwei Wang, 2010, Academic radiology.

Fusion of classifiers for REIS-based detection of suspicious breast lesions

David Gur, Bin Zheng, Jules H. Sumkin, 2011, Medical Imaging.

Estimation of Infants' Cry Fundamental Frequency using a Modified SIFT algorithm pdf

Dror Lederman, D. Lederman, 2010, ArXiv.

Detecting Masses in Mammograms using Convolutional Neural Networks and Transfer Learning

Mor Yemini, Dr. Yaniv Zigel, Dr. Dror Lederman, 2018, 2018 IEEE International Conference on the Science of Electrical Engineering in Israel (ICSEE).

A new computer‐aided detection approach based on analysis of local and global mammographic feature asymmetry

Bin Zheng, Yaniv Zigel, Adam Kelder, 2018, Medical physics.