Inas A. Yassine

18 papers B 2Journal 6Unranked 10

Year	Rank	Type	Title / 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