Search Results - "Amgad, Mohamed"

Medical Student Research: An Integrated Mixed-Methods Systematic Review and Meta-Analysis by Amgad, Mohamed, Man Kin Tsui, Marco, Liptrott, Sarah J, Shash, Emad

“…Despite the rapidly declining number of physician-investigators, there is no consistent structure within medical education so far for involving medical…”
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Predicting cancer outcomes from histology and genomics using convolutional networks by Mobadersany, Pooya, Yousefi, Safoora, Amgad, Mohamed, Gutman, David A., Barnholtz-Sloan, Jill S., Vega, José E. Velázquez, Brat, Daniel J., Cooper, Lee A. D.

“…Cancer histology reflects underlying molecular processes and disease progression and contains rich phenotypic information that is predictive of patient…”
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LADRC applied to variable speed micro-hydro plants: Experimental validation by Guo, Baoling, Bacha, Seddik, Alamir, Mazen, Mohamed, Amgad, Boudinet, Cédric

“…To track the maximum power of a hydraulic turbine, the rotational speed needs to be adapted to flow rates variations, enabling higher speed tracking demands…”
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Generic modeling and speed control approach of hydraulic power plants: Start-up operating mode by Mohamed, Amgad, Alamir, Mazen, Alloin, Quentin

“…In this paper, we propose a complete modeling approach of hydraulic power plants and a control solution to improve the start-up performance of hydraulic…”
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Predicting clinical outcomes from large scale cancer genomic profiles with deep survival models by Yousefi, Safoora, Amrollahi, Fatemeh, Amgad, Mohamed, Dong, Chengliang, Lewis, Joshua E., Song, Congzheng, Gutman, David A., Halani, Sameer H., Velazquez Vega, Jose Enrique, Brat, Daniel J., Cooper, Lee A. D.

“…Translating the vast data generated by genomic platforms into accurate predictions of clinical outcomes is a fundamental challenge in genomic medicine. Many…”
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Learning from crowds in digital pathology using scalable variational Gaussian processes by López-Pérez, Miguel, Amgad, Mohamed, Morales-Álvarez, Pablo, Ruiz, Pablo, Cooper, Lee A. D., Molina, Rafael, Katsaggelos, Aggelos K.

“…The volume of labeled data is often the primary determinant of success in developing machine learning algorithms. This has increased interest in methods for…”
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Machine-based detection and classification for bone marrow aspirate differential counts: initial development focusing on nonneoplastic cells by Chandradevan, Ramraj, Aljudi, Ahmed A., Drumheller, Bradley R., Kunananthaseelan, Nilakshan, Amgad, Mohamed, Gutman, David A., Cooper, Lee A.D., Jaye, David L.

“…Bone marrow aspirate (BMA) differential cell counts (DCCs) are critical for the classification of hematologic disorders. While manual counts are considered the…”
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Structured crowdsourcing enables convolutional segmentation of histology images by Amgad, Mohamed, Elfandy, Habiba, Hussein, Hagar, Atteya, Lamees A, Elsebaie, Mai A T, Abo Elnasr, Lamia S, Sakr, Rokia A, Salem, Hazem S E, Ismail, Ahmed F, Saad, Anas M, Ahmed, Joumana, Elsebaie, Maha A T, Rahman, Mustafijur, Ruhban, Inas A, Elgazar, Nada M, Alagha, Yahya, Osman, Mohamed H, Alhusseiny, Ahmed M, Khalaf, Mariam M, Younes, Abo-Alela F, Abdulkarim, Ali, Younes, Duaa M, Gadallah, Ahmed M, Elkashash, Ahmad M, Fala, Salma Y, Zaki, Basma M, Beezley, Jonathan, Chittajallu, Deepak R, Manthey, David, Gutman, David A, Cooper, Lee A D

“…Abstract Motivation While deep-learning algorithms have demonstrated outstanding performance in semantic image segmentation tasks, large annotation datasets…”
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Artificial intelligence and algorithmic computational pathology: an introduction with renal allograft examples by Farris, Alton B, Vizcarra, Juan, Amgad, Mohamed, Cooper, Lee A D, Gutman, David, Hogan, Julien

“…Whole slide imaging, which is an important technique in the field of digital pathology, has recently been the subject of increased interest and avenues for…”
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Extending Ripley's K-Function to Quantify Aggregation in 2-D Grayscale Images by Amgad, Mohamed, Itoh, Anri, Tsui, Marco Man Kin

“…In this work, we describe the extension of Ripley's K-function to allow for overlapping events at very high event densities. We show that problematic edge…”
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High expression of MKK3 is associated with worse clinical outcomes in African American breast cancer patients by Yang, Xuan, Amgad, Mohamed, Cooper, Lee A D, Du, Yuhong, Fu, Haian, Ivanov, Andrey A

“…African American women experience a twofold higher incidence of triple-negative breast cancer (TNBC) and are 40% more likely to die from breast cancer than…”
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Early Development of a Machine Learning Approach to Quantify MYC Immunohistochemical Staining in Lymphoma by Drumheller, Bradley, Amgad, Mohamed, Aljudi, Ahmed, Burdette, Elliott, Kutob, Leila, Neely, Cameron, Perricone, Adam, Shebelut, Conrad, Jaye, David

“…Abstract Newer data suggest that double expression of MYC and BCL2 proteins (DE) evaluated by quantitative immunohistochemistry (qIHC) may be a powerful marker…”
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Reduced-Scale Models of Variable Speed Hydro-Electric Plants for Power Hardware-in-the-Loop Real-Time Simulations by Guo, Baoling, Mohamed, Amgad, Bacha, Seddik, Alamir, Mazen, Boudinet, Cédric, Pouget, Julien

“…Variable Speed Hydro-Electric Plant (VS-HEP) equipped with power electronics has been increasingly introduced into the hydraulic context. This paper is…”
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Comparison of transverse changes during maxillary expansion with 4-point bone-borne and tooth-borne maxillary expanders by Mosleh, Mennatallah Ihab, Kaddah, Mohamed Amgad, Abd ElSayed, Fatma Abdou, ElSayed, Hend Salah

“…Introduction The purposes of this study were to evaluate and compare the dentoskeletal changes concurrent with 4-point bone-borne and tooth-borne rapid…”
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Interactive phenotyping of large-scale histology imaging data with HistomicsML by Nalisnik, Michael, Amgad, Mohamed, Lee, Sanghoon, Halani, Sameer H., Velazquez Vega, Jose Enrique, Brat, Daniel J., Gutman, David A., Cooper, Lee A. D.

“…Whole-slide imaging of histologic sections captures tissue microenvironments and cytologic details in expansive high-resolution images. These images can be…”
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histolab: A Python library for reproducible Digital Pathology preprocessing with automated testing by Marcolini, Alessia, Bussola, Nicole, Arbitrio, Ernesto, Amgad, Mohamed, Jurman, Giuseppe, Furlanello, Cesare

“…Deep Learning (DL) is rapidly permeating the field of Digital Pathology with algorithms successfully applied to ease daily clinical practice and to discover…”
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Early Experience in Developing a Machine-Learning and Digital Pathology Approach to Automate Bone Marrow Differential Counts by Abdulrahman, Ahmed, Amgad, Mohamed, Cooper, Lee, Jaye, David

“…Abstract Manual bone marrow aspirate (BMA) differential cell counts (DCCs) are often critical for diagnosis and classification of hematologic disorders, yet…”
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Novel Cold Cure Acrylic Denture Base with Recycled Zirconia Nano-Fillers That Were Functionalized by HEMA Agent Incorporation: Using the Sprinkle Approach by Elzahar, Hala B, El-Okaily, Mohamed S, Khedr, Mohamed H, Kaddah, Mohamed Amgad, El-Shahawy, Ahmed AG

“…Background: Though acrylic resins possess many useful properties, denture fracture is nevertheless a familiar issue. Objective: This study aimed to determine…”
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Integrating AI and ML in Myelodysplastic Syndrome Diagnosis: State-of-the-Art and Future Prospects by Elshoeibi, Amgad Mohamed, Badr, Ahmed, Elsayed, Basel, Metwally, Omar, Elshoeibi, Raghad, Elhadary, Mohamed Ragab, Elshoeibi, Ahmed, Attya, Mohamed Amro, Khadadah, Fatima, Alshurafa, Awni, Alhuraiji, Ahmad, Yassin, Mohamed

“…Myelodysplastic syndrome (MDS) is composed of diverse hematological malignancies caused by dysfunctional stem cells, leading to abnormal hematopoiesis and…”
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Proteomic Profiling of Small-Cell Lung Cancer: A Systematic Review by Elshoeibi, Amgad Mohamed, Elsayed, Basel, Kaleem, Muhammad Zain, Elhadary, Mohamed Ragab, Abu-Haweeleh, Mohannad Natheef, Haithm, Yunes, Krzyslak, Hubert, Vranic, Semir, Pedersen, Shona

“…The accurate diagnosis of small-cell lung cancer (SCLC) is crucial, as treatment strategies differ from those of other lung cancers. This systematic review…”
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