Machine Learning for Health: Algorithm Auditing & Quality Control von Oala, L, Murchison, AG, Balachandran, P, Choudhary, S, Fehr, J, Leite, AW, Goldschmidt, PG, Johner, C, Schorverth, EDM, Nakasi, R, Meyer, M, Cabitza, F, Baird, P, Prabhu, C, Weicken, E, Liu, X, Wenzel, M, Vogler, S, Akogo, D, Alsalamah, S, Kazim, E, Koshiyama, A, Piechottka, S, Macpherson, S, Shadforth, I, Geierhofer, R, Matek, C, Krois, J, Sanguinetti, B, Arentz, M, Bielik, P, Calderon-Ramirez, S, Abbood, A, Langer, N, Haufe, S, Kherif, F, Pujari, S, Samek, W, Wiegand, T

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Mobile-Aware Deep Learning Algorithms for Malaria Parasites and White Blood Cells Localization in Thick Blood Smears von Nakasi, Rose, Mwebaze, Ernest, Zawedde, Aminah

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A Review on Automated Detection and Assessment of Fruit Damage Using Machine Learning von Safari, Yonasi, Nakatumba-Nabende, Joyce, Nakasi, Rose, Nakibuule, Rose

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A new approach for microscopic diagnosis of malaria parasites in thick blood smears using pre-trained deep learning models von Nakasi, Rose, Mwebaze, Ernest, Zawedde, Aminah, Tusubira, Jeremy, Akera, Benjamin, Maiga, Gilbert

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Establishing spatially-enabled health registry systems using implicit spatial data pools: case study - Uganda von Aturinde, Augustus, Rose, Nakasi, Farnaghi, Mahdi, Maiga, Gilbert, Pilesjö, Petter, Mansourian, Ali

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Oxygen isotope analysis of pygmy hippo’s fossil bone and tooth apatite from Aghia Napa, Cyprus von Anna, Nakasi Maria, Elizabeth, Stathopoulou, Maria, Tassi, Petros, Karalis, Georgios, Theodorou, Efthymios, Tsiolakis, Elissavet, Dotsika

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Machine Learning for Health: Algorithm Auditing & Quality Control von Oala, Luis, Murchison, Andrew G., Balachandran, Pradeep, Choudhary, Shruti, Fehr, Jana, Leite, Alixandro Werneck, Goldschmidt, Peter G., Johner, Christian, Schörverth, Elora D. M., Nakasi, Rose, Meyer, Martin, Cabitza, Federico, Baird, Pat, Prabhu, Carolin, Weicken, Eva, Liu, Xiaoxuan, Wenzel, Markus, Vogler, Steffen, Akogo, Darlington, Alsalamah, Shada, Kazim, Emre, Koshiyama, Adriano, Piechottka, Sven, Macpherson, Sheena, Shadforth, Ian, Geierhofer, Regina, Matek, Christian, Krois, Joachim, Sanguinetti, Bruno, Arentz, Matthew, Bielik, Pavol, Calderon-Ramirez, Saul, Abbood, Auss, Langer, Nicolas, Haufe, Stefan, Kherif, Ferath, Pujari, Sameer, Samek, Wojciech, Wiegand, Thomas

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An Early Pleistocene molluscan assemblage from Fiji: gastropod faunal composition, paleoecology and biogeography von Kohn, Alan J., Arua, Ingela

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Future-ai:International consensus guideline for trustworthy and deployable artificial intelligence in healthcare von Lekadir, Karim, Feragen, Aasa, Fofanah, Abdul Joseph, Frangi, Alejandro F, Buyx, Alena, Emelie, Anais, Lara, Andrea, Porras, Antonio R, Chan, An-Wen, Navarro, Arcadi, Glocker, Ben, Botwe, Benard O, Khanal, Bishesh, Beger, Brigit, Wu, Carol C, Cintas, Celia, Langlotz, Curtis P, Rueckert, Daniel, Mzurikwao, Deogratias, Fotiadis, Dimitrios I, Zhussupov, Doszhan, Ferrante, Enzo, Weicken, Eva, González, Fabio A, Asselbergs, Folkert W, Prior, Fred, Krestin, Gabriel P, Collins, Gary, Tegenaw, Geletaw S, Kaissis, Georgios, Tsakou, Gianna, Dwivedi, Girish, Kondylakis, Haridimos, Jayakody, Harsha, Aerts, Hugo JWL, Walsh, Ian, Chouvarda, Ioanna, Buvat, Irène, Rekik, Islem, Duncan, James, Kalpathy-Cramer, Jayashree, Zahir, Jihad, Park, Jinah, Mongan, John, Gichoya, Judy W, Schnabel, Julia A, Kushibar, Kaisar, Riklund, Katrine, Mori, Kensaku, Marias, Kostas, Amugongo, Lameck M, Fromont, Lauren A, Maier-Hein, Lena, Alberich, Leonor Cerdá, Rittner, Leticia, Phiri, Lighton, Marrakchi-Kacem, Linda, Donoso-Bach, Lluís, Martí-Bonmatí, Luis, Bobowicz, Maciej, Zuluaga, Maria A, Bielikova, Maria, Fritzsche, Marie-Christine, Linguraru, Marius George, Bruijne, Marleen De, Tolsgaard, Martin G, Ashrafuzzaman, Md, Goisauf, Melanie, Yaqub, Mohammad, Ammar, Mohammed, Abadía, Mónica Cano, Mahmoud, Mukhtar M E, Elattar, Mustafa, Rieke, Nicola, Papanikolaou, Nikolaos, Díaz, Oliver, Guevara, Pamela, Gordebeke, Peter, Lambin, Philippe, Abolmaesumi, Purang, Dou, Qi, Osuala, Richard, Nakasi, Rose, Zhou, S Kevin, Napel, Sandy, Colantonio, Sara, Albarqouni, Shadi, Joshi, Smriti, Carter, Stacy, Klein, Stefan, Aussó, Susanna, Awate, Suyash, Raviv, Tammy Riklin, Cook, Tessa, Rogers, Wendy A, Niessen, Wiro J, Puig-Bosch, Xènia, Aquino, Yves Saint James, Salahuddin, Zohaib, Starmans, Martijn P A

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Immunogenicity of Well-Characterized Synthetic Plasmodium falciparum Multiple Antigen Peptide Conjugates von JOSHI, Manju B, GAM, Albert A, BOYKINS, Robert A, KUMAR, Sanjai, SACCI, John, HOFFMAN, Stephen L, NAKHASI, Hira L, KENNEY, Richard T

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Slip-resistant silver-feet: shell form and mode of life in lower Pleistocene Argyropeza from Fiji von Kohn, Alan J.

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Partial Corpus Callosotomy Beneficial for Lennox-Gastaut Syndrome: Report of Two Cases von SAKAKI, Toshisuke, NAKASE, Hiroyuki, MORIMOTO, Tetsuya, HOSHIDA, Toru, TSUNODA, Shigeru

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Perceptions of dental health professionals (DHPs) on work challenges in Fiji: A qualitative study von Kumar, Samantha, Mohammadnezhad, Masoud

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L’Algebre Logique Appliquee Aux Techniques Binaires von Soubies-Camy, M.

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A new method for automatic counting of ovarian follicles on whole slide histological images based on convolutional neural network von İnik, Özkan, Ceyhan, Ayşe, Balcıoğlu, Esra, Ülker, Erkan

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Design and validation of multiplex polymerase chain reaction as a diagnostic tool for Plasmodium species von Mahale, Paras, Sinha, Swati, Quadiri, Afshana, Sharma, Supriya, Gahtori, Renuka, Kumari, Preeti, Pande, Veena, Singh, Himmat, Anvikar, Anupkumar

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Triptolide injection reduces Alzheimer's disease‐like pathology in mice von Mao, Rui, Xu, Shihao, Sun, Guangwen, Yu, Yingying, Zuo, Zhiyi, Wang, Yuanyuan, Yang, Kun, Zhang, Zhen, Yang, Wenqiong

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Pregnancy intention and postpartum depression: secondary data analysis from a prospective cohort von Mercier, RJ, Garrett, J, Thorp, J, Siega‐Riz, AM

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A novel diagnostic and prognostic approach for unresponsive patients with anthroponotic cutaneous leishmaniasis using artificial neural networks von Bamorovat, Mehdi, Sharifi, Iraj, Rashedi, Esmat, Shafiian, Alireza, Sharifi, Fatemeh, Khosravi, Ahmad, Tahmouresi, Amirhossein

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A comparative analysis of deep learning architectures on high variation malaria parasite classification dataset von Rahman, Aimon, Zunair, Hasib, Reme, Tamanna Rahman, Rahman, M. Sohel, Mahdy, M.R.C.

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