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A fully unsupervised deep learning framework for non-rigid fundus image registration
A fully unsupervised deep learning framework for non-rigid fundus image registration
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A fully unsupervised deep learning framework for non-rigid fundus image registration

Giovana Augusta Benvenuto Marilaine Colnago; Maurício Araujo Dias; Rogério Galante Negri; Erivaldo Antonio da Silva; Wallace Correa de Oliveira Casaca

Bioengineering Basel v. 9, n. 8, p. 1-17, 2022

Basel 2022

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-3092551 )(Acessar)

2
Deep‐learning‐based joint rigid and deformable contour propagation for magnetic resonance imaging‐guided prostate radiotherapy
Deep‐learning‐based joint rigid and deformable contour propagation for magnetic resonance imaging‐guided prostate radiotherapy
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Artigo 		Adicionar ao Meu Espaço

Deep‐learning‐based joint rigid and deformable contour propagation for magnetic resonance imaging‐guided prostate radiotherapy

Kolenbrander, Iris D. ; Maspero, Matteo ; Hendriksen, Allard A. ; Pollitt, Ryan ; van der Voort van Zyp, Jochem R. N. ; van den Berg, Cornelis A. T. ; Pluim, Josien P. W. ; van Eijnatten, Maureen A. J. M.

Medical physics (Lancaster), 2024-04, Vol.51 (4), p.2367-2377 [Periódico revisado por pares]

United States

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3
Learning to Understand Remote Sensing Images: Volume 2
Learning to Understand Remote Sensing Images: Volume 2
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Learning to Understand Remote Sensing Images: Volume 2

Wang, Qi

MDPI 2019

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4
Deep-learning-based joint rigid and deformable contour propagation for magnetic resonance imaging-guided prostate radiotherapy
Deep-learning-based joint rigid and deformable contour propagation for magnetic resonance imaging-guided prostate radiotherapy
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Deep-learning-based joint rigid and deformable contour propagation for magnetic resonance imaging-guided prostate radiotherapy

Kolenbrander, Iris D ; Maspero, Matteo ; Hendriksen, Allard A ; Pollitt, Ryan ; van der Voort van Zyp, Jochem R N ; van den Berg, Cornelis A T ; Pluim, Josien P W ; van Eijnatten, Maureen A J M

2024-04

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5
Assessment of Ablative Margin After Microwave Ablation for Hepatocellular Carcinoma Using Deep Learning-Based Deformable Image Registration
Assessment of Ablative Margin After Microwave Ablation for Hepatocellular Carcinoma Using Deep Learning-Based Deformable Image Registration
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Assessment of Ablative Margin After Microwave Ablation for Hepatocellular Carcinoma Using Deep Learning-Based Deformable Image Registration

An, Chao ; Jiang, Yiquan ; Huang, Zhimei ; Gu, Yangkui ; Zhang, Tianqi ; Ma, Ling ; Huang, Jinhua

Frontiers in oncology, 2020-09, Vol.10, p.573316-573316 [Periódico revisado por pares]

Frontiers Research Foundation

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6
The Impact of Deep Learning on Ultrasound in Diagnosis and Therapy: Enhancing Clinical Decision Support, Workflow Efficiency, Quantification, Image Registration, and Real-time Assistance
The Impact of Deep Learning on Ultrasound in Diagnosis and Therapy: Enhancing Clinical Decision Support, Workflow Efficiency, Quantification, Image Registration, and Real-time Assistance
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The Impact of Deep Learning on Ultrasound in Diagnosis and Therapy: Enhancing Clinical Decision Support, Workflow Efficiency, Quantification, Image Registration, and Real-time Assistance

Won-Chul Bang, PhD, Vice President, Yeong Kyeong Seong, PhD, Jinyong Lee

Advanced ultrasound in diagnosis and therapy, 2023-06, Vol.7 (2), p.204-216 [Periódico revisado por pares]

Editorial Office of Advanced Ultrasound in Diagnosis and Therapy

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7
Recent advances and clinical applications of deep learning in medical image analysis
Recent advances and clinical applications of deep learning in medical image analysis
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Recent advances and clinical applications of deep learning in medical image analysis

Chen, Xuxin ; Wang, Ximin ; Zhang, Ke ; Fung, Kar-Ming ; Thai, Theresa C. ; Moore, Kathleen ; Mannel, Robert S. ; Liu, Hong ; Zheng, Bin ; Qiu, Yuchen

Medical image analysis, 2022-07, Vol.79, p.102444-102444, Article 102444 [Periódico revisado por pares]

Netherlands: Elsevier B.V

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8
A deep learning framework for unsupervised affine and deformable image registration
A deep learning framework for unsupervised affine and deformable image registration
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A deep learning framework for unsupervised affine and deformable image registration

de Vos, Bob D. ; Berendsen, Floris F. ; Viergever, Max A. ; Sokooti, Hessam ; Staring, Marius ; Išgum, Ivana

Medical image analysis, 2019-02, Vol.52, p.128-143 [Periódico revisado por pares]

Netherlands: Elsevier B.V

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9
Scalable High-Performance Image Registration Framework by Unsupervised Deep Feature Representations Learning
Scalable High-Performance Image Registration Framework by Unsupervised Deep Feature Representations Learning
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Scalable High-Performance Image Registration Framework by Unsupervised Deep Feature Representations Learning

Wu, Guorong ; Kim, Minjeong ; Wang, Qian ; Munsell, Brent C. ; Shen, Dinggang

IEEE transactions on biomedical engineering, 2016-07, Vol.63 (7), p.1505-1516 [Periódico revisado por pares]

United States: IEEE

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10
Medical image registration using deep neural networks: A comprehensive review
Medical image registration using deep neural networks: A comprehensive review
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Medical image registration using deep neural networks: A comprehensive review

Boveiri, Hamid Reza ; Khayami, Raouf ; Javidan, Reza ; Mehdizadeh, Alireza

Computers & electrical engineering, 2020-10, Vol.87, p.106767, Article 106767 [Periódico revisado por pares]

Amsterdam: Elsevier Ltd

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Deste Autor:

  1. Colnago, M
  2. Dias, M
  3. Negri, R
  4. Benvenuto, G
  5. Silva, E

Neste Assunto:

  1. Deep Learning
  2. Science & Technology
  3. Registration
  4. Image Registration
  5. Technology

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