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Adaptive adversarial neural networks for the analysis of lossy and domain-shifted datasets of medical images.
Kanakasabapathy, Manoj Kumar; Thirumalaraju, Prudhvi; Kandula, Hemanth; Doshi, Fenil; Sivakumar, Anjali Devi; Kartik, Deeksha; Gupta, Raghav; Pooniwala, Rohan; Branda, John A; Tsibris, Athe M; Kuritzkes, Daniel R; Petrozza, John C; Bormann, Charles L; Shafiee, Hadi.
Afiliação
  • Kanakasabapathy MK; Division of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
  • Thirumalaraju P; Division of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
  • Kandula H; Division of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
  • Doshi F; Division of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
  • Sivakumar AD; Division of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
  • Kartik D; Division of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
  • Gupta R; Division of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
  • Pooniwala R; Division of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
  • Branda JA; Department of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
  • Tsibris AM; Division of Infectious Diseases, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
  • Kuritzkes DR; Division of Infectious Diseases, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
  • Petrozza JC; Division of Reproductive Endocrinology and Infertility, Department of Obstetrics and Gynecology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
  • Bormann CL; Division of Reproductive Endocrinology and Infertility, Department of Obstetrics and Gynecology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
  • Shafiee H; Division of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA. hshafiee@bwh.harvard.edu.
Nat Biomed Eng ; 5(6): 571-585, 2021 06.
Article em En | MEDLINE | ID: mdl-34112997
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Texto completo: 1 Coleções: 01-internacional Contexto em Saúde: 3_ND Base de dados: MEDLINE Assunto principal: Espermatozoides / Interpretação de Imagem Assistida por Computador / Redes Neurais de Computação / Malária Falciparum / Aprendizado de Máquina Supervisionado Limite: Female / Humans / Male Idioma: En Revista: Nat Biomed Eng Ano de publicação: 2021 Tipo de documento: Article
Texto completo
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Texto completo: 1 Coleções: 01-internacional Contexto em Saúde: 3_ND Base de dados: MEDLINE Assunto principal: Espermatozoides / Interpretação de Imagem Assistida por Computador / Redes Neurais de Computação / Malária Falciparum / Aprendizado de Máquina Supervisionado Limite: Female / Humans / Male Idioma: En Revista: Nat Biomed Eng Ano de publicação: 2021 Tipo de documento: Article