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Refinado por: Nome da Publicação: Lecture Notes in Computer Science remover
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Fake news detection on fake.br using hierarchical attention networks
Fake news detection on fake.br using hierarchical attention networks
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Fake news detection on fake.br using hierarchical attention networks

Emerson Yoshiaki Okano Zebin Liu; Donghong Ji; Evandro Eduardo Seron Ruiz; International Conference on Computational Processing of the Portuguese Language - PROPOR (2020 Evora)

Lecture Notes in Computer Science Heidelberg v. 12037, p. 143-152, 2020

Heidelberg 2020

Localização: FFCLRP - Fac. Fil. Ciên. Let. de R. Preto    (pcd 3043614 Acervo Digital )(Acessar)

2
Full motion focus convolutional module for improved left ventricle segmentation over 4D MRI
Full motion focus convolutional module for improved left ventricle segmentation over 4D MRI
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Full motion focus convolutional module for improved left ventricle segmentation over 4D MRI

Daniel Mário de Lima Catharine de Vita Graves; Marco Antonio Gutierrez; Bruno Brandoli Machado; José Fernando Rodrigues Junior; International Conference on Image Analysis and Processing - ICIAP (21. 2022 Lecce, Italy)

Lecture Notes in Computer Science Cham : Springer v. 13231, p. 438-450, 2022

Cham Springer 2022

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-3086170 )(Acessar)

3
Medical Image Synthesis with Context-Aware Generative Adversarial Networks
Medical Image Synthesis with Context-Aware Generative Adversarial Networks
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Artigo 		Adicionar ao Meu Espaço

Medical Image Synthesis with Context-Aware Generative Adversarial Networks

Nie, Dong ; Trullo, Roger ; Lian, Jun ; Petitjean, Caroline ; Ruan, Su ; Wang, Qian ; Shen, Dinggang

Medical Image Computing and Computer Assisted Intervention − MICCAI 2017, 2017-09, Vol.10435, p.417-425 [Periódico revisado por pares]

Cham: Springer International Publishing

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4
Multi-institutional Deep Learning Modeling Without Sharing Patient Data: A Feasibility Study on Brain Tumor Segmentation
Multi-institutional Deep Learning Modeling Without Sharing Patient Data: A Feasibility Study on Brain Tumor Segmentation
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Artigo 		Adicionar ao Meu Espaço

Multi-institutional Deep Learning Modeling Without Sharing Patient Data: A Feasibility Study on Brain Tumor Segmentation

Sheller, Micah J. ; Reina, G. Anthony ; Edwards, Brandon ; Martin, Jason ; Bakas, Spyridon

Brainlesion : glioma, multiple sclerosis, stroke and traumatic brain injuries. BrainLes (Workshop), 2019, Vol.11383, p.92-104 [Periódico revisado por pares]

Cham: Springer International Publishing

Sem texto completo

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5
Automated Measurements of Key Morphological Features of Human Embryos for IVF
Automated Measurements of Key Morphological Features of Human Embryos for IVF
Material Type:
Artigo 		Adicionar ao Meu Espaço

Automated Measurements of Key Morphological Features of Human Embryos for IVF

Leahy, Brian D. ; Jang, Won-Dong ; Yang, Helen Y. ; Struyven, Robbert ; Wei, Donglai ; Sun, Zhe ; Lee, Kylie R. ; Royston, Charlotte ; Cam, Liz ; Kalma, Yael ; Azem, Foad ; Ben-Yosef, Dalit ; Pfister, Hanspeter ; Needleman, Daniel

Medical Image Computing and Computer Assisted Intervention – MICCAI 2020, 2020-10, Vol.12265, p.25-35 [Periódico revisado por pares]

Cham: Springer International Publishing

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6
Automatic Quantification of COVID-19 Pulmonary Edema by Self-supervised Contrastive Learning
Automatic Quantification of COVID-19 Pulmonary Edema by Self-supervised Contrastive Learning
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Automatic Quantification of COVID-19 Pulmonary Edema by Self-supervised Contrastive Learning

Liang, Zhaohui ; Xue, Zhiyun ; Rajaraman, Sivaramakrishnan ; Feng, Yang ; Antani, Sameer

Medical Image Learning with Limited and Noisy Data, 2023-10, Vol.14307, p.128-137 [Periódico revisado por pares]

Cham: Springer Nature Switzerland

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7
Robust Lane Detection Based On Convolutional Neural Network and Random Sample Consensus
Robust Lane Detection Based On Convolutional Neural Network and Random Sample Consensus
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Robust Lane Detection Based On Convolutional Neural Network and Random Sample Consensus

Kim, Jihun ; Lee, Minho

Neural Information Processing, p.454-461 [Periódico revisado por pares]

Cham: Springer International Publishing

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8
Heterogeneity Measurement of Cardiac Tissues Leveraging Uncertainty Information from Image Segmentation
Heterogeneity Measurement of Cardiac Tissues Leveraging Uncertainty Information from Image Segmentation
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Heterogeneity Measurement of Cardiac Tissues Leveraging Uncertainty Information from Image Segmentation

Huang, Ziyi ; Gan, Yu ; Lye, Theresa ; Zhang, Haofeng ; Laine, Andrew ; Angelini, Elsa D. ; Hendon, Christine

Medical Image Computing and Computer Assisted Intervention – MICCAI 2020, 2020-10, Vol.12261, p.782-791 [Periódico revisado por pares]

Cham: Springer International Publishing

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9
Automatic Localization of Landmarks in Craniomaxillofacial CBCT Images Using a Local Attention-Based Graph Convolution Network
Automatic Localization of Landmarks in Craniomaxillofacial CBCT Images Using a Local Attention-Based Graph Convolution Network
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Automatic Localization of Landmarks in Craniomaxillofacial CBCT Images Using a Local Attention-Based Graph Convolution Network

Lang, Yankun ; Lian, Chunfeng ; Xiao, Deqiang ; Deng, Hannah ; Yuan, Peng ; Gateno, Jaime ; Shen, Steve G. F. ; Alfi, David M. ; Yap, Pew-Thian ; Xia, James J. ; Shen, Dinggang

Medical Image Computing and Computer Assisted Intervention – MICCAI 2020, 2020-10, Vol.12264, p.817-826 [Periódico revisado por pares]

Cham: Springer International Publishing

Sem texto completo

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10
Preoperative Prediction of Lymph Node Metastasis from Clinical DCE MRI of the Primary Breast Tumor Using a 4D CNN
Preoperative Prediction of Lymph Node Metastasis from Clinical DCE MRI of the Primary Breast Tumor Using a 4D CNN
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Preoperative Prediction of Lymph Node Metastasis from Clinical DCE MRI of the Primary Breast Tumor Using a 4D CNN

Nguyen, Son ; Polat, Dogan ; Karbasi, Paniz ; Moser, Daniel ; Wang, Liqiang ; Hulsey, Keith ; Çobanoğlu, Murat Can ; Dogan, Basak ; Montillo, Albert

Medical Image Computing and Computer Assisted Intervention – MICCAI 2020, 2020-10, Vol.12262, p.326-334 [Periódico revisado por pares]

Cham: Springer International Publishing

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