Inas A. Yassine

18 papers B 2Journal 6Unranked 10
YearRankTypeTitle / Venue / Authors
2025 J jnl
Computer Aided Grading System of Digital Microscopic Blastocyst Images.
Int. J. Imaging Syst. Technol.
Shimaa M. Khder, Eman Anwar Hassan Mohamed, Ahmed Elbialy, Inas A. Yassine
2023 — conf
Cross-Modality Deep Transfer Learning: Application to Liver Segmentation in CT and MRI.
MIUA
Merna Bibars, Peter E. Salah, Ayman Eldeib, Mustafa A. Elattar, Inas A. Yassine
2023 J jnl
Dynamic Construction of Outlier Detector Ensembles With Bisecting K-Means Clustering.
IEEE Access
Rasha Ramadan Z. Koko, Inas A. Yassine, Manal Abdel Wahed, June K. Madete, Muhammad Ali Rushdi
2023 — conf
Iterative Refinement Algorithm for Liver Segmentation Ground-Truth Generation Using Fine-Tuning Weak Labels for CT and Structural MRI.
MIUA
Peter E. Salah, Merna Bibars, Ayman Eldeib, Ahmed M. Ghanem, Ahmed M. Gharib, Khaled Z. Abd-Elmoniem, Mustafa A. Elattar, Inas A. Yassine
2022 J jnl
Native-resolution myocardial principal Eulerian strain mapping using convolutional neural networks and Tagged Magnetic Resonance Imaging.
Comput. Biol. Medicine
Inas A. Yassine, Ahmed M. Ghanem, Nader S. Metwalli, Ahmed H. Hamimi, Ronald Ouwerkerk, Jatin R. Matta, Michael A. Solomon, Jason M. Elinoff, Ahmed M. Gharib, Khaled Z. Abd-Elmoniem
2018 — conf
Alzheimer'S Disease Classification Using Bag-Of-Words Based On Visual Pattern Of Diffusion Anisotropy For DTI Imaging.
EMBC
Ghaidaa W. Eldeeb, Nourhan Zayed, Inas A. Yassine
2018 J jnl
Schizophrenic patient identification using graph-theoretic features of resting-state fMRI data.
Biomed. Signal Process. Control.
Rami F. Algunaid, Ali H. Algumaei, Muhammad Ali Rushdi, Inas A. Yassine
2017 — conf
Low quality dermal image classification using transfer learning.
BHI
Mohamed S. Elmahdy, Sara S. Abdeldayem, Inas A. Yassine
2016 B conf
Convolutional neural networks for deep feature learning in retinal vessel segmentation.
ICIP
Aya F. Khalaf, Inas A. Yassine, Ahmed S. Fahmy
2015 J jnl
A novel technique for cardiac arrhythmia classification using spectral correlation and support vector machines.
Expert Syst. Appl.
Aya F. Khalaf, Mohamed I. Owis, Inas A. Yassine
2015 — conf
Automatic localization of the left ventricle in cardiac MRI images using deep learning.
EMBC
Omar Emad, Inas A. Yassine, Ahmed S. Fahmy
2015 — conf
Image features of spectral correlation function for arrhythmia classification.
EMBC
Aya F. Khalaf, Mohamed I. Owis, Inas A. Yassine
2015 B conf
Novel features for microcalcification detection in digital mammogram images based on wavelet and statistical analysis.
ICIP
Aya F. Khalaf, Inas A. Yassine
2015 — conf
Spectral correlation analysis for microcalcification detection in digital mammogram images.
ISBI
Aya F. Khalaf, Inas A. Yassine
2014 — conf
Novel Bayesian classifier discriminant function optimization strategies for arrhythmia classification.
BHI
Aya F. Ahmed, Mohamed I. Owis, Inas A. Yassine
2011 J jnl
Visualizing High-Order Symmetric Tensor Field Structure with Differential Operators.
J. Appl. Math.
Tim McGraw, Takamitsu Kawai, Inas A. Yassine, Lierong Zhu
2009 — conf
4th Order Diffusion Tensor Interpolation with Divergence and Curl Constrained Bezier Patches.
ISBI
Inas A. Yassine, Tim McGraw
2009 — conf
New Scalar Measures for Diffusion-Weighted MRI Visualization.
ISVC (1)
Tim McGraw, Takamitsu Kawai, Inas A. Yassine, Lierong Zhu