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Refinado por: Nome da Publicação: International Journal of Computer Assisted Radiology and Surgery remover
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1
Deep learning-based radiomics of primary lung tumors in CT images for prediction of distant metastasis
Deep learning-based radiomics of primary lung tumors in CT images for prediction of distant metastasis
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Artigo de Congresso 		Adicionar ao Meu Espaço

Deep learning-based radiomics of primary lung tumors in CT images for prediction of distant metastasis

José Raniery Ferreira Junior Marcel Koenigkam Santos; T Hironaka; Federico Enrique Garcia Cipriano; Alexandre Todorovic Fabro; H Yoshida; Paulo Mazzoncini de Azevedo-Marques; Computer Assisted Radiology and Surgery (CARS) - International Congress and Exhibition (33. 2019 Rennes)

International Journal of Computer Assisted Radiology and Surgery 2019 Heidelberg v. 14, suppl. 1, p. S78-S79, 2019

Heidelberg 2019

Localização: FMRP - Fac. Medicina de Ribeirão Preto    (pcd 3007763 Estantes Deslizantes )(Acessar)

2
Deep extracted features to support content-based image retrieval systems in the diagnosis of Covid-19 and interstitial diseases
Deep extracted features to support content-based image retrieval systems in the diagnosis of Covid-19 and interstitial diseases
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Artigo de Congresso 		Adicionar ao Meu Espaço

Deep extracted features to support content-based image retrieval systems in the diagnosis of Covid-19 and interstitial diseases

Marcos Vinícius Naves Bêdo L Lima; Marcel Koenigkam-Santos; Agma Juci Machado Traina; Paulo Mazzoncini de Azevedo-Marques; International Congress and Exhibition on Computer Assisted Radiology and Surgery - CARS (36. 2022 Tokyo)

International Journal of Computer Assisted Radiology and Surgery Heidelberg : Springer v. 17, supl. 1, p. S13-S14, June 2022

Heidelberg Springer 2022

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-3114774 )(Acessar)

3
Video-based surgical skill assessment using 3D convolutional neural networks
Video-based surgical skill assessment using 3D convolutional neural networks
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Artigo 		Adicionar ao Meu Espaço

Video-based surgical skill assessment using 3D convolutional neural networks

Funke, Isabel ; Mees, Sören Torge ; Weitz, Jürgen ; Speidel, Stefanie

International journal for computer assisted radiology and surgery, 2019-07, Vol.14 (7), p.1217-1225 [Periódico revisado por pares]

Cham: Springer International Publishing

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4
Early esophageal adenocarcinoma detection using deep learning methods
Early esophageal adenocarcinoma detection using deep learning methods
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Artigo 		Adicionar ao Meu Espaço

Early esophageal adenocarcinoma detection using deep learning methods

Ghatwary, Noha ; Zolgharni, Massoud ; Ye, Xujiong

International journal for computer assisted radiology and surgery, 2019-04, Vol.14 (4), p.611-621 [Periódico revisado por pares]

Cham: Springer International Publishing

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5
Accurate and interpretable evaluation of surgical skills from kinematic data using fully convolutional neural networks
Accurate and interpretable evaluation of surgical skills from kinematic data using fully convolutional neural networks
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Artigo 		Adicionar ao Meu Espaço

Accurate and interpretable evaluation of surgical skills from kinematic data using fully convolutional neural networks

Ismail Fawaz, Hassan ; Forestier, Germain ; Weber, Jonathan ; Idoumghar, Lhassane ; Muller, Pierre-Alain

International journal for computer assisted radiology and surgery, 2019-09, Vol.14 (9), p.1611-1617 [Periódico revisado por pares]

Cham: Springer International Publishing

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6
Learning deep similarity metric for 3D MR–TRUS image registration
Learning deep similarity metric for 3D MR–TRUS image registration
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Artigo 		Adicionar ao Meu Espaço

Learning deep similarity metric for 3D MR–TRUS image registration

Haskins, Grant ; Kruecker, Jochen ; Kruger, Uwe ; Xu, Sheng ; Pinto, Peter A. ; Wood, Brad J. ; Yan, Pingkun

International journal for computer assisted radiology and surgery, 2019-03, Vol.14 (3), p.417-425 [Periódico revisado por pares]

Cham: Springer International Publishing

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7
Deep learning for automated cerebral aneurysm detection on computed tomography images
Deep learning for automated cerebral aneurysm detection on computed tomography images
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Artigo 		Adicionar ao Meu Espaço

Deep learning for automated cerebral aneurysm detection on computed tomography images

Dai, Xilei ; Huang, Lixiang ; Qian, Yi ; Xia, Shuang ; Chong, Winston ; Liu, Junjie ; Di Ieva, Antonio ; Hou, Xiaoxi ; Ou, Chubin

International journal for computer assisted radiology and surgery, 2020-04, Vol.15 (4), p.715-723 [Periódico revisado por pares]

Cham: Springer International Publishing

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8
“Deep-Onto” network for surgical workflow and context recognition
“Deep-Onto” network for surgical workflow and context recognition
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“Deep-Onto” network for surgical workflow and context recognition

Nakawala, Hirenkumar ; Bianchi, Roberto ; Pescatori, Laura Erica ; De Cobelli, Ottavio ; Ferrigno, Giancarlo ; De Momi, Elena

International journal for computer assisted radiology and surgery, 2019-04, Vol.14 (4), p.685-696 [Periódico revisado por pares]

Cham: Springer International Publishing

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9
Automated pulmonary nodule detection in CT images using 3D deep squeeze-and-excitation networks
Automated pulmonary nodule detection in CT images using 3D deep squeeze-and-excitation networks
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Automated pulmonary nodule detection in CT images using 3D deep squeeze-and-excitation networks

Gong, Li ; Jiang, Shan ; Yang, Zhiyong ; Zhang, Guobin ; Wang, Lu

International journal for computer assisted radiology and surgery, 2019-11, Vol.14 (11), p.1969-1979 [Periódico revisado por pares]

Cham: Springer International Publishing

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10
Self-supervised learning for gastritis detection with gastric X-ray images
Self-supervised learning for gastritis detection with gastric X-ray images
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Artigo 		Adicionar ao Meu Espaço

Self-supervised learning for gastritis detection with gastric X-ray images

Li, Guang ; Togo, Ren ; Ogawa, Takahiro ; Haseyama, Miki

International journal for computer assisted radiology and surgery, 2023-04, Vol.18 (10), p.1841-1848 [Periódico revisado por pares]

Cham: Springer International Publishing

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