Zobrazeno 1 - 10 of 58 pro vyhledávání: '"Ahmed Q, Haddad"'
1
A 3D CNN with a Learnable Adaptive Shape Prior for Accurate Segmentation of Bladder Wall Using MR Images
Autor: Robert S. Keynton, H. E. Darwish, Fahmi Khalifa, Ahmed Q. Haddad, Ahmed Soliman, Ayman El-Baz, Hisham Abdeltawab, M. Abou El-Ghar, K. Hammouda, Mohammed Ghazal
Publikováno v: ISBI
A 3D deep learning-based convolution neural network (CNN) is developed for accurate segmentation of pathological bladder (both wall border and pathology) using T2-weighted magnetic resonance imaging (T2W-MRI). Our system starts with a preprocessing s
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::2128d7d5b9ffa20954d40ac511aa60b5
https://doi.org/10.1109/isbi45749.2020.9098733
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2
Chronic exposure to cadmium induces a malignant transformation of benign prostate epithelial cells
Autor: Ashish Tyagi, Murali K. Ankem, Becca V. Baby, Nisha Dahiya, Chendil Damodaran, Uttara Saran, Venkatesh Kolluru, Ahmed Q. Haddad, Balaji Chandrasekaran, J. Christopher States
Publikováno v: Oncogenesis
Oncogenesis, Vol 9, Iss 2, Pp 1-10 (2020)
Epidemiological evidence suggests that cadmium (Cd) is one of the causative factors of prostate cancer, but the effect of Cd on benign prostatic hyperplasia (BPH) remains unclear. This study aimed to determine whether Cd exposure could malignantly tr
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::87850589d0bdbd37c9db60a09d893477
https://doi.org/10.1038/s41389-020-0202-7
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3
Prognostic value of tissue-based biomarker signature in clear cell renal cell carcinoma
Autor: Oussama M. Darwish, Yair Lotan, Payal Kapur, Ramy F. Youssef, Dinesh Rakheja, Vitaly Margulis, Arthur I. Sagalowsky, Jun Hang Luo, Bishoy A. Gayed, Ahmed Q. Haddad, Laura Maria Krabbe
Publikováno v: BJU International. 119:741-747
Objective To improve risk stratification for recurrence prognostication in patients with localised clear cell renal cell carcinoma (ccRCC). Patients and Methods In all, 367 patients with non-metastatic ccRCC were included. The cohort was divided into
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::08468ab00bc6754bb28d8b367e1c17ac
https://doi.org/10.1111/bju.13776
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4
A Deep Learning-Based Approach for Accurate Segmentation of Bladder Wall using MR Images
Autor: Ayman El-Baz, Mohammed Ghazal, Fahmi Khalifa, M. Abou El-Ghar, Robert S. Keynton, K. Hammouda, H. E. Darwish, Ahmed Q. Haddad, Ahmed Soliman, Mohammed Elmogy
Publikováno v: IST
In this paper, a deep learning-based convolution neural network (CNN) is developed for accurate segmentation of the bladder wall using T2-weighted magnetic resonance imaging (T2W-MRI). Our framework utilizes a dual pathway, two-dimensional CNN for pa
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::8c6f4411ce9fa63d787d1e8b168e876d
https://doi.org/10.1109/ist48021.2019.9010233
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5
A CNN-Based Framework for Bladder Wall Segmentation Using MRI
Autor: Ahmed Soliman, K. Hammouda, Ahmed Q. Haddad, Robert S. Keynton, Mohammed Elmogy, Ayman El-Baz, Ashraf Khalil, H. E. Darwish, Adel Elmaghraby, M. Abou El-Ghar, Fahmi Khalifa, Mohammad Ghazal
Publikováno v: 2019 Fifth International Conference on Advances in Biomedical Engineering (ICABME).
Accurate segmentation of the bladder wall is of great importance for any computer-aided diagnostic system for bladder cancer (BC) detection and diagnosis. In this paper, a deep learning-based framework is developed for accurate segmentation of the bl
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::8388da43f99528ecbd8145b97faf6e7d
https://doi.org/10.1109/icabme47164.2019.8940266
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7
Shed urinary ALCAM is an independent prognostic biomarker of three-year overall survival after cystectomy in patients with bladder cancer
Autor: Alina Starchenko, Paul B. Knoll, Oluwole Fadare, Justin M M Cates, Jifeng Wang, Tatiana Ketova, Shanna A Arnold Egloff, Yair Lotan, Holli A. Loomans, Yu Shyr, Liping Du, Ahmed Q. Haddad, Andries Zijlstra, Peter E. Clark, Pei Fang Su
Publikováno v: Oncotarget, vol 8, iss 1
Oncotarget
Proteins involved in tumor cell migration can potentially serve as markers of invasive disease. Activated Leukocyte Cell Adhesion Molecule (ALCAM) promotes adhesion, while shedding of its extracellular domain is associated with migration. We hypothes
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::164a7bf3dded644754294fcfe08037fd
https://doi.org/10.18632/oncotarget.13546
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8
Combination of androgen receptor inhibitor and cisplatin, an effective treatment strategy for urothelial carcinoma of the bladder
Autor: Samarpit Rai, Adrienne C. Jordan, Jamie Messer, Chendil Damodaran, Venkatesh Kolluru, Ahmed Q. Haddad, Murali K. Ankem, Ashish Tyagi, Alatassi Houda, Balaji Chandrasekaran
Publikováno v: Urologic oncology. 37(7)
Purpose The role of androgen receptor (AR) signaling in bladder cancer (BCa) is not fully characterized. This study aimed to delineate the role of AR signaling in BCa and to determine whether the combination of AR inhibitor, Enzalutamide (Enz), and C
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a89028567d61c6d53a8a046703bad5a1
https://pubmed.ncbi.nlm.nih.gov/31006613
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9
Predictive Biomarkers for Neoadjuvant Chemotherapy Response in Muscle-Invasive Bladder Cancer: A survey
Autor: Ayman El-Baz, Mohammed Ghazal, Fahmi Khalifa, Guruprasad A. Giridharan, Tamer M.A. Mohamed, Ahmed Q. Haddad, Hisham Abdeltawab
Publikováno v: ISSPIT
Bladder cancer is the most prevalent urinary tract malignancy and is associated with the highest treatment cost among cancers. The standard therapy for patients with muscle-invasive bladder cancer is the radical cystectomy. Nevertheless, there is a h
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::561661ae23f81277eda3f66fecd5651b
https://doi.org/10.1109/isspit.2018.8642619
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10
MRI Markers for Early Assessment of Bladder Cancer: A Review
Autor: Mohammed Ghazal, Fahmi Khalifa, Adel Elmaghraby, H. E. Darwish, Ayman El-Baz, K. Hammouda, Ahmed Q. Haddad, Mohammed Elmogy
Publikováno v: ISSPIT
Bladder cancer (BC) is the seventh most prevalent cancer in the United States. Accurate detection and diagnosis of BC helps clinicians to select appropriate treatment and thus increase patients’ survival rate. Multiple factors affect accurate diagn
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::c4b5189928d444f2c26e065038a8cdb4
https://doi.org/10.1109/isspit.2018.8642664
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