Standout Papers

Deep learning enables robust assessment and selection of human blastocysts after in vitro fertilization 2019 2026 2021 2023 238
  1. Deep learning enables robust assessment and selection of human blastocysts after in vitro fertilization (2019)
    Pegah Khosravi, Ehsan Kazemi et al. npj Digital Medicine

Immediate Impact

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2 intermediate papers

Works of Jonas Malmsten being referenced

Deep learning enables robust assessment and selection of human blastocysts after in vitro fertilization
2019 Standout
Application of artificial intelligence technology to increase the efficacy of embryo selection and prediction of live birth using human blastocysts cultured in a time-lapse incubator
2018
and 1 more

Author Peers

Author Last Decade Papers Cites
Jonas Malmsten 303 224 66 170 26 459
Alexandros Sigaras 212 153 69 129 13 443
Hemanth Kandula 230 154 92 144 22 458
Claudio Manna 296 153 70 350 32 526
Simon Cooke 404 241 108 255 19 456
Toshihiro Habara 215 172 80 173 24 568
Firouzeh Ghaffari 151 74 36 224 38 435
L Albricci 338 280 134 200 17 439
Milan Reljič 375 245 52 294 35 503
Shayne Plosker 146 139 20 260 40 431
Nicolò Ubaldi 360 275 75 341 22 539

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2026