Structured crowdsourcing enables convolutional segmentation of histology images von 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

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NuCLS: A scalable crowdsourcing approach and dataset for nucleus classification and segmentation in breast cancer von Amgad, Mohamed, Atteya, Lamees A, Hussein, Hagar, Mohammed, Kareem Hosny, Hafiz, Ehab, Elsebaie, Maha A T, Alhusseiny, Ahmed M, AlMoslemany, Mohamed Atef, Elmatboly, Abdelmagid M, Pappalardo, Philip A, Sakr, Rokia Adel, Mobadersany, Pooya, Rachid, Ahmad, Saad, Anas M, Alkashash, Ahmad M, Ruhban, Inas A, Alrefai, Anas, Elgazar, Nada M, Abdulkarim, Ali, Farag, Abo-Alela, Etman, Amira, Elsaeed, Ahmed G, Alagha, Yahya, Amer, Yomna A, Raslan, Ahmed M, Nadim, Menatalla K, Elsebaie, Mai A T, Ayad, Ahmed, Hanna, Liza E, Gadallah, Ahmed, Elkady, Mohamed, Drumheller, Bradley, Jaye, David, Manthey, David, Gutman, David A, Elfandy, Habiba, Cooper, Lee A D

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Does High-Dose Thromboprophylaxis Improve Outcomes in COVID-19 Patients? A Meta-analysis of Comparative Studies von Elsebaie, Maha A. T., Baral, Binav, Elsebaie, Mai, Shrivastava, Trilok, Weir, Catherine, Kumi, Dennis, Birch, Noah W.

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The efficacy and safety of Zuranolone for treatment of depression: A systematic review and meta-analysis von Fayoud, Aya M., Orebi, Hisham Ahmed, Elshnoudy, Iman Abdelhady, Elsebaie, Mai Alaaeldin Temraz, Elewidi, Mariam Mahmoud Mohamed, Sabra, Hamdy Khaled

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Correction to: The efficacy and safety of Zuranolone for treatment of depression: A systematic review and metaanalysis von Fayoud, Aya M., Orebi, Hisham Ahmed, Elshnoudy, Iman Abdelhady, Elsebaie, Mai Alaaeldin Temraz, Elewidi, Mariam Mahmoud Mohamed, Sabra, Hamdy Khaled

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Virtual reality gaming for rehabilitation of patients with urinary incontinence: A systematic review and meta‐analysis von Lialy, Hagar E., Abdalrahman, Hamid Ali, Elsebaie, Mai, Abdrabo, Mohamed Fouad, Emara, Mohamed, Mosad, Yara, Elsaid, Mohamed

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NuCLS: A scalable crowdsourcing, deep learning approach and dataset for nucleus classification, localization and segmentation von Mohamed, Amgad, Atteya, Lamees A, Hagar Hussein, Kareem Hosny Mohammed, Hafiz, Ehab, Elsebaie, Maha A T, Alhusseiny, Ahmed M, Mohamed Atef AlMoslemany, Elmatboly, Abdelmagid M, Pappalardo, Philip A, Rokia Adel Sakr, Mobadersany, Pooya, Ahmad, Rachid, Saad, Anas M, Alkashash, Ahmad M, Ruhban, Inas A, Alrefai, Anas, Elgazar, Nada M, Abdulkarim, Ali, Abo-Alela Farag, Etman, Amira, Elsaeed, Ahmed G, Alagha, Yahya, Amer, Yomna A, Raslan, Ahmed M, Nadim, Menatalla K, Elsebaie, Mai A T, Ayad, Ahmed, Hanna, Liza E, Gadallah, Ahmed, Elkady, Mohamed, Drumheller, Bradley, Jaye, David, Manthey, David, Gutman, David A, Elfandy, Habiba, Cooper, Lee A D

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Supporting data for "NuCLS: A scalable crowdsourcing approach & dataset for nucleus classification and segmentation in breast cancer" von Mohamed, Amgad, Atteya A Lamees, Hagar, Hussein, Kareem, Mohammed Hosny, Ehab, Hafiz, Maha, Elsebaie AT, Ahmed, Alhusseiny M, AlMoslemany Atef Mohamed, Abdelmagid, Elmatboly M, Pappalardo A Philip, Rokia, Sakr Adel, Pooya, Mobadersany, Ahmad, Rachid, Anas, Saad M, Ahmad, Alkashash M, Ruhban A Inas, Alrefai Anas, Elgazar M Nada, Abdulkarim Ali, Abo-Alela, Farag, Amira, Etman, Elsaeed G Ahmed, Alagha Yahya, Yomna, Amer A, Raslan M Ahmed, Menatalla, Nadim K, Elsebaie AT Mai, Ayad Ahmed, Liza, Hanna E, Ahmed, Gadallah, Mohamed, Elkady, Drumheller Bradley, David, Jaye, David, Manthey, David, Gutman A, Habiba, Elfandy, Lee, Cooper AD

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