Search Results - "Khalifa, Fahmi"

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    A pyramidal deep learning pipeline for kidney whole-slide histology images classification by Abdeltawab, Hisham, Khalifa, Fahmi, Ghazal, Mohammed, Cheng, Liang, Gondim, Dibson, El-Baz, Ayman

    Published in Scientific reports (12-10-2021)
    “…Renal cell carcinoma is the most common type of kidney cancer. There are several subtypes of renal cell carcinoma with distinct clinicopathologic features…”
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    Models and methods for analyzing DCE‐MRI: A review by Khalifa, Fahmi, Soliman, Ahmed, El‐Baz, Ayman, Abou El‐Ghar, Mohamed, El‐Diasty, Tarek, Gimel'farb, Georgy, Ouseph, Rosemary, Dwyer, Amy C.

    Published in Medical physics (Lancaster) (01-12-2014)
    “…Purpose: To present a review of most commonly used techniques to analyze dynamic contrast‐enhanced magnetic resonance imaging (DCE‐MRI), discusses their…”
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    Journal Article
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    A Novel CNN-Based CAD System for Early Assessment of Transplanted Kidney Dysfunction by Abdeltawab, Hisham, Shehata, Mohamed, Shalaby, Ahmed, Khalifa, Fahmi, Mahmoud, Ali, El-Ghar, Mohamed Abou, Dwyer, Amy C., Ghazal, Mohammed, Hajjdiab, Hassan, Keynton, Robert, El-Baz, Ayman

    Published in Scientific reports (11-04-2019)
    “…This paper introduces a deep-learning based computer-aided diagnostic (CAD) system for the early detection of acute renal transplant rejection. For noninvasive…”
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    A novel image encryption/decryption scheme based on integrating multiple chaotic maps by Yousif, Bedir, Khalifa, Fahmi, Makram, Ahmed, Takieldeen, Ali

    Published in AIP advances (01-07-2020)
    “…In this paper, a novel framework is presented for chaotic image encryption. The proposed method is based on integrating multiple chaotic maps (e.g., logistic,…”
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    An MRI-based deep learning approach for accurate detection of Alzheimer’s disease by EL-Geneedy, Marwa, Moustafa, Hossam El-Din, Khalifa, Fahmi, Khater, Hatem, AbdElhalim, Eman

    Published in Alexandria engineering journal (15-01-2023)
    “…Alzheimer’s disease (AD) is the most prevalent type of dementia of the nervous system that causes many brain functions to weaken (eg, memory loss)…”
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    Accurate Lungs Segmentation on CT Chest Images by Adaptive Appearance-Guided Shape Modeling by Soliman, Ahmed, Khalifa, Fahmi, Elnakib, Ahmed, Abou El-Ghar, Mohamed, Dunlap, Neal, Wang, Brian, Gimel'farb, Georgy, Keynton, Robert, El-Baz, Ayman

    Published in IEEE transactions on medical imaging (01-01-2017)
    “…To accurately segment pathological and healthy lungs for reliable computer-aided disease diagnostics, a stack of chest CT scans is modeled as a sample of a…”
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    A Chaotic-Based Encryption/Decryption Framework for Secure Multimedia Communications by Yasser, Ibrahim, Mohamed, Mohamed A, Samra, Ahmed S, Khalifa, Fahmi

    Published in Entropy (Basel, Switzerland) (04-11-2020)
    “…Chaos-based encryption has shown an increasingly important and dominant role in modern multimedia cryptography compared with traditional algorithms. This work…”
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    Novel MRI-Based CAD System for Early Detection of Thyroid Cancer Using Multi-Input CNN by Naglah, Ahmed, Khalifa, Fahmi, Khaled, Reem, Abdel Razek, Ahmed Abdel Khalek, Ghazal, Mohammad, Giridharan, Guruprasad, El-Baz, Ayman

    Published in Sensors (Basel, Switzerland) (04-06-2021)
    “…Early detection of thyroid nodules can greatly contribute to the prediction of cancer burdening and the steering of personalized management. We propose a novel…”
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    A New Image Encryption Scheme Based on Hybrid Chaotic Maps by Samrah, Ahmed S., Mohamed, Mohamed A., Khalifa, Fahmi, Yasser, Ibrahim

    Published in Complexity (New York, N.Y.) (2020)
    “…Chaos-based encryption algorithms offer many advantages over conventional cryptographic algorithms, such as speed, high security, affordable overheads for…”
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    Automated Diagnosis of Optical Coherence Tomography Angiography (OCTA) Based on Machine Learning Techniques by Yasser, Ibrahim, Khalifa, Fahmi, Abdeltawab, Hisham, Ghazal, Mohammed, Sandhu, Harpal Singh, El-Baz, Ayman

    Published in Sensors (Basel, Switzerland) (18-03-2022)
    “…Diabetic retinopathy (DR) refers to the ophthalmological complications of diabetes mellitus. It is primarily a disease of the retinal vasculature that can lead…”
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    Kidney segmentation from DCE-MRI converging level set methods, fuzzy clustering and Markov random field modeling by El-Melegy, Moumen, Kamel, Rasha, El-Ghar, Mohamed Abou, Shehata, Mohamed, Khalifa, Fahmi, El-Baz, Ayman

    Published in Scientific reports (05-11-2022)
    “…Early diagnosis of transplanted kidney function requires precise Kidney segmentation from Dynamic Contrast-Enhanced Magnetic Resonance Imaging images as a…”
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    3D kidney segmentation from abdominal diffusion MRI using an appearance-guided deformable boundary by Shehata, Mohamed, Mahmoud, Ali, Soliman, Ahmed, Khalifa, Fahmi, Ghazal, Mohammed, Abou El-Ghar, Mohamed, El-Melegy, Moumen, El-Baz, Ayman

    Published in PloS one (13-07-2018)
    “…A new technique for more accurate automatic segmentation of the kidney from its surrounding abdominal structures in diffusion-weighted magnetic resonance…”
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    The Role of Different Retinal Imaging Modalities in Predicting Progression of Diabetic Retinopathy: A Survey by Elsharkawy, Mohamed, Elrazzaz, Mostafa, Sharafeldeen, Ahmed, Alhalabi, Marah, Khalifa, Fahmi, Soliman, Ahmed, Elnakib, Ahmed, Mahmoud, Ali, Ghazal, Mohammed, El-Daydamony, Eman, Atwan, Ahmed, Sandhu, Harpal Singh, El-Baz, Ayman

    Published in Sensors (Basel, Switzerland) (01-05-2022)
    “…Diabetic retinopathy (DR) is a devastating condition caused by progressive changes in the retinal microvasculature. It is a leading cause of retinal blindness…”
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    Bladder and bowel responses to lumbosacral epidural stimulation in uninjured and transected anesthetized rats by Hoey, Robert F., Medina-Aguiñaga, Daniel, Khalifa, Fahmi, Ugiliweneza, Beatrice, Zdunowski, Sharon, Fell, Jason, Naglah, Ahmed, El-Baz, Ayman S., Herrity, April N., Harkema, Susan J., Hubscher, Charles H.

    Published in Scientific reports (08-02-2021)
    “…Spinal cord epidural stimulation (scES) mapping at L5-S1 was performed to identify parameters for bladder and bowel inhibition and/or contraction. Using…”
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    Multi-Model Fusion of CNNs for Identification of Parkinson's Disease Using Handwritten Samples by Naz, Saeeda, Kamran, Iqra, Gul, Sarah, Hadi, Fazle, Khalifa, Fahmi

    Published in IEEE access (2023)
    “…When approximately seventy percent of dopamine-producing nerve cells cease to function normally, the symptoms of Parkinson's disease (PD) manifest, marking an…”
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