Boosting the Edelstein effect of two-dimensional electron gases by ferromagnetic exchange

Autor: Lazrak, Gabriel, Göbel, Börge, Barthélémy, Agnès, Mertig, Ingrid, Johansson, Annika, Bibes, Manuel

Strontium titanate (SrTiO$_3$) two-dimensional electron gases (2DEGs) have broken spatial inversion symmetry and possess a finite Rashba spin-orbit coupling. This enables the interconversion of charge and spin currents through the direct and inverse

Externí odkaz: http://arxiv.org/abs/2310.03348

FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare

Autor: 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, Meijering, Erik, Weicken, Eva, González, Fabio A, Asselbergs, Folkert W, Prior, Fred, Krestin, Gabriel P, Collins, Gary, Tegenaw, Geletaw S, Kaissis, Georgios, Misuraca, Gianluca, Tsakou, Gianna, Dwivedi, Girish, Kondylakis, Haridimos, Jayakody, Harsha, Woodruf, Henry C, Mayer, Horst Joachim, Aerts, Hugo JWL, Walsh, Ian, Chouvarda, Ioanna, Buvat, Irène, Tributsch, Isabell, 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, Cardoso, M Jorge, Bobowicz, Maciej, Shabani, Mahsa, Tsiknakis, Manolis, Zuluaga, Maria A, Bielikova, Maria, Fritzsche, Marie-Christine, Camacho, Marina, Linguraru, Marius George, Wenzel, Markus, De Bruijne, Marleen, Tolsgaard, Martin G, Ghassemi, Marzyeh, Ashrafuzzaman, Md, Goisauf, Melanie, Yaqub, Mohammad, Abadía, Mónica Cano, Mahmoud, Mukhtar M E, Elattar, Mustafa, Rieke, Nicola, Papanikolaou, Nikolaos, Lazrak, Noussair, Díaz, Oliver, Salvado, Olivier, Pujol, Oriol, Sall, Ousmane, Guevara, Pamela, Gordebeke, Peter, Lambin, Philippe, Brown, Pieta, Abolmaesumi, Purang, Dou, Qi, Lu, Qinghua, Osuala, Richard, Nakasi, Rose, Zhou, S Kevin, Napel, Sandy, Colantonio, Sara, Albarqouni, Shadi, Joshi, Smriti, Carter, Stacy, Klein, Stefan, Petersen, Steffen E, Aussó, Susanna, Awate, Suyash, Raviv, Tammy Riklin, Cook, Tessa, Mutsvangwa, Tinashe E M, Rogers, Wendy A, Niessen, Wiro J, Puig-Bosch, Xènia, Zeng, Yi, Mohammed, Yunusa G, Aquino, Yves Saint James, Salahuddin, Zohaib, Starmans, Martijn P A

Despite major advances in artificial intelligence (AI) for medicine and healthcare, the deployment and adoption of AI technologies remain limited in real-world clinical practice. In recent years, concerns have been raised about the technical, clinica

Externí odkaz: http://arxiv.org/abs/2309.12325

Democratic Policy Decisions with Decentralized Promises Contingent on Vote Outcome

Autor: Lazrak, Ali, Zhang, Jianfeng

We study pre-vote interactions in a committee that enacts a welfare-improving reform through voting in the presence of heterogeneous utilities. Committee members use decentralized irrevocable promises of non-negative transfers contingent on the vote

Externí odkaz: http://arxiv.org/abs/2304.08008

Favorable outcome of Lasiodiplodia theobromae keratomycosis : a clinical case and systematic review

Autor: Adam Lazrak, Nicole Desbois, Martin Bonnafous, Katia Ouamrane, Harold Merle

Publikováno v: BMC Ophthalmology, Vol 24, Iss 1, Pp 1-7 (2024)

Abstract Backroud Keratitis caused by Lasiodiplodia theobromae is rare and typically associated with a poor prognosis. Current literature lacks sufficient evidence on effective management of patients with this condition. Case presentation A 74-year-o

Externí odkaz: https://doaj.org/article/b8f750e0a6e04dcf99489b94979b50b1

medigan: a Python library of pretrained generative models for medical image synthesis

Autor: Osuala, Richard, Skorupko, Grzegorz, Lazrak, Noussair, Garrucho, Lidia, García, Eloy, Joshi, Smriti, Jouide, Socayna, Rutherford, Michael, Prior, Fred, Kushibar, Kaisar, Diaz, Oliver, Lekadir, Karim

Publikováno v: Journal of Medical Imaging 10.6 (2023) 061403

Synthetic data generated by generative models can enhance the performance and capabilities of data-hungry deep learning models in medical imaging. However, there is (1) limited availability of (synthetic) datasets and (2) generative models are comple

Externí odkaz: http://arxiv.org/abs/2209.14472