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Artigo de periodico
Can MRI radiomics distinguish residual adenocarcinoma from acellular mucin in treated rectal cancer? (2025)
Corines, Marina J.; Ibrahim, Abdalla; Baheti, Akshay; Gibbs, Peter; Sheedy, Shannon P.; Lee, Sonia; Nougaret, Stephanie; Ernst, Randy; Moreno, Courtney C.; Nahas, Sergio Carlos
Source: European Journal of radiology. Unidade: FM
Subjects: ADENOCARCINOMA, ESTUDOS RETROSPECTIVOS, APRENDIZADO COMPUTACIONAL, IMAGEM POR RESSONÂNCIA MAGNÉTICA, NEOPLASIAS RETAIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CORINES, Marina J. et al. Can MRI radiomics distinguish residual adenocarcinoma from acellular mucin in treated rectal cancer?. European Journal of radiology, v. 184, 2025Tradução . . Disponível em: https://observatorio.fm.usp.br/handle/OPI/84979. Acesso em: 06 jan. 2026.
APA
Corines, M. J., Ibrahim, A., Baheti, A., Gibbs, P., Sheedy, S. P., Lee, S., et al. (2025). Can MRI radiomics distinguish residual adenocarcinoma from acellular mucin in treated rectal cancer? European Journal of radiology, 184. doi:10.1016/j.ejrad.2025.111986
NLM
Corines MJ, Ibrahim A, Baheti A, Gibbs P, Sheedy SP, Lee S, Nougaret S, Ernst R, Moreno CC, Nahas SC. Can MRI radiomics distinguish residual adenocarcinoma from acellular mucin in treated rectal cancer? [Internet]. European Journal of radiology. 2025 ; 184[citado 2026 jan. 06 ] Available from: https://observatorio.fm.usp.br/handle/OPI/84979
Vancouver
Corines MJ, Ibrahim A, Baheti A, Gibbs P, Sheedy SP, Lee S, Nougaret S, Ernst R, Moreno CC, Nahas SC. Can MRI radiomics distinguish residual adenocarcinoma from acellular mucin in treated rectal cancer? [Internet]. European Journal of radiology. 2025 ; 184[citado 2026 jan. 06 ] Available from: https://observatorio.fm.usp.br/handle/OPI/84979
Artigo de periodico
Current status and future perspectives of radiomics in hepatocellular carcinoma (2023)
Miranda, Joao; Horvat, Natally; Fonseca, Gilton Marques; Araujo-Filho, Jose de Arimateia Batista; Fernandes, Maria Clara; Charbel, Charlotte; Chakraborty, Jayasree; Coelho, Fabricio Ferreira; Nomura, Cesar Higa; Herman, Paulo
Source: World journal of gastroenterology. Unidade: FM
Subjects: HEPATOPATIAS, CARCINOMA HEPATOCELULAR, INTERDISCIPLINARIDADE, DIAGNÓSTICO POR IMAGEM
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MIRANDA, Joao et al. Current status and future perspectives of radiomics in hepatocellular carcinoma. World journal of gastroenterology, v. 29, n. 1, p. 43-60, 2023Tradução . . Disponível em: https://observatorio.fm.usp.br/handle/OPI/52955. Acesso em: 06 jan. 2026.
APA
Miranda, J., Horvat, N., Fonseca, G. M., Araujo-Filho, J. de A. B., Fernandes, M. C., Charbel, C., et al. (2023). Current status and future perspectives of radiomics in hepatocellular carcinoma. World journal of gastroenterology, 29( 1), 43-60. doi:10.3748/wjg.v29.i1.43
NLM
Miranda J, Horvat N, Fonseca GM, Araujo-Filho J de AB, Fernandes MC, Charbel C, Chakraborty J, Coelho FF, Nomura CH, Herman P. Current status and future perspectives of radiomics in hepatocellular carcinoma [Internet]. World journal of gastroenterology. 2023 ; 29( 1): 43-60.[citado 2026 jan. 06 ] Available from: https://observatorio.fm.usp.br/handle/OPI/52955
Vancouver
Miranda J, Horvat N, Fonseca GM, Araujo-Filho J de AB, Fernandes MC, Charbel C, Chakraborty J, Coelho FF, Nomura CH, Herman P. Current status and future perspectives of radiomics in hepatocellular carcinoma [Internet]. World journal of gastroenterology. 2023 ; 29( 1): 43-60.[citado 2026 jan. 06 ] Available from: https://observatorio.fm.usp.br/handle/OPI/52955
Artigo de periodico
Combined artificial intelligence and radiologist model for predicting rectal cancer treatment response from magnetic resonance imaging: an external validation study (2023)
Horvat, Natally; Veeraraghavan, Harini; Nahas, Caio S. R; Bates, David D. B; Ferreira, Felipe R; Zheng, Junting; Capanu, Marinela; Fuqua, James L; Cerri, Giovanni Guido ; Nahas, Sergio Carlos
Source: Abdominal radiology. Unidade: FM
Subjects: INTELIGÊNCIA ARTIFICIAL, IMAGEM POR RESSONÂNCIA MAGNÉTICA, NEOPLASIAS RETAIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
HORVAT, Natally et al. Combined artificial intelligence and radiologist model for predicting rectal cancer treatment response from magnetic resonance imaging: an external validation study. Abdominal radiology, v. 47, n. 8, p. 2770-2782, 2023Tradução . . Disponível em: https://doi.org/10.1007/s00261-022-03572-8. Acesso em: 06 jan. 2026.
APA
Horvat, N., Veeraraghavan, H., Nahas, C. S. R., Bates, D. D. B., Ferreira, F. R., Zheng, J., et al. (2023). Combined artificial intelligence and radiologist model for predicting rectal cancer treatment response from magnetic resonance imaging: an external validation study. Abdominal radiology, 47( 8), 2770-2782. doi:10.1007/s00261-022-03572-8
NLM
Horvat N, Veeraraghavan H, Nahas CSR, Bates DDB, Ferreira FR, Zheng J, Capanu M, Fuqua JL, Cerri GG, Nahas SC. Combined artificial intelligence and radiologist model for predicting rectal cancer treatment response from magnetic resonance imaging: an external validation study [Internet]. Abdominal radiology. 2023 ; 47( 8): 2770-2782.[citado 2026 jan. 06 ] Available from: https://doi.org/10.1007/s00261-022-03572-8
Vancouver
Horvat N, Veeraraghavan H, Nahas CSR, Bates DDB, Ferreira FR, Zheng J, Capanu M, Fuqua JL, Cerri GG, Nahas SC. Combined artificial intelligence and radiologist model for predicting rectal cancer treatment response from magnetic resonance imaging: an external validation study [Internet]. Abdominal radiology. 2023 ; 47( 8): 2770-2782.[citado 2026 jan. 06 ] Available from: https://doi.org/10.1007/s00261-022-03572-8
Artigo de periodico
MRI-based radiomic score increased mrTRG accuracy in predicting rectal cancer response to neoadjuvant therapy (2023)
Miranda, Joao; Horvat, Natally; Assuncao Junior, Antonildes N; Machado, Felipe Augusto de M; Chakraborty, Jayasree; Pandini, Rafael Vaz; Saraiva, Samya; Nahas, Caio Sergio Rizkallah; Nahas, Sergio Carlos ; Nomura, Cesar Higa
Source: ABDOMINAL RADIOLOGY. Unidade: FM
Subjects: NEOPLASIAS COLORRETAIS, IMAGEM POR RESSONÂNCIA MAGNÉTICA, ESTADIAMENTO DE NEOPLASIAS, QUIMIOTERAPIA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MIRANDA, Joao et al. MRI-based radiomic score increased mrTRG accuracy in predicting rectal cancer response to neoadjuvant therapy. ABDOMINAL RADIOLOGY, v. 48, n. 6, p. 1911-1920, 2023Tradução . . Disponível em: https://observatorio.fm.usp.br/handle/OPI/57929. Acesso em: 06 jan. 2026.
APA
Miranda, J., Horvat, N., Assuncao Junior, A. N., Machado, F. A. de M., Chakraborty, J., Pandini, R. V., et al. (2023). MRI-based radiomic score increased mrTRG accuracy in predicting rectal cancer response to neoadjuvant therapy. ABDOMINAL RADIOLOGY, 48( 6), 1911-1920. doi:10.1007/s00261-023-03898-x
NLM
Miranda J, Horvat N, Assuncao Junior AN, Machado FA de M, Chakraborty J, Pandini RV, Saraiva S, Nahas CSR, Nahas SC, Nomura CH. MRI-based radiomic score increased mrTRG accuracy in predicting rectal cancer response to neoadjuvant therapy [Internet]. ABDOMINAL RADIOLOGY. 2023 ; 48( 6): 1911-1920.[citado 2026 jan. 06 ] Available from: https://observatorio.fm.usp.br/handle/OPI/57929
Vancouver
Miranda J, Horvat N, Assuncao Junior AN, Machado FA de M, Chakraborty J, Pandini RV, Saraiva S, Nahas CSR, Nahas SC, Nomura CH. MRI-based radiomic score increased mrTRG accuracy in predicting rectal cancer response to neoadjuvant therapy [Internet]. ABDOMINAL RADIOLOGY. 2023 ; 48( 6): 1911-1920.[citado 2026 jan. 06 ] Available from: https://observatorio.fm.usp.br/handle/OPI/57929

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