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Refinado por: Base de dados/Biblioteca: SpringerLINK Lecture Notes in Computer Science (2015) remover tipo de recurso: Anais de Congresso remover
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1
Multi-stage Learning for Robust Lung Segmentation in Challenging CT Volumes
Multi-stage Learning for Robust Lung Segmentation in Challenging CT Volumes
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Multi-stage Learning for Robust Lung Segmentation in Challenging CT Volumes

Sofka, Michal ; Wetzl, Jens ; Birkbeck, Neil ; Zhang, Jingdan ; Kohlberger, Timo ; Kaftan, Jens ; Declerck, Jérôme ; Zhou, S. Kevin

Medical Image Computing and Computer-Assisted Intervention – MICCAI 2011, 2011, Vol.14 (Pt 3), p.667-674 [Periódico revisado por pares]

Berlin, Heidelberg: Springer Berlin Heidelberg

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2
Self-gated Radial MRI for Respiratory Motion Compensation on Hybrid PET/MR Systems
Self-gated Radial MRI for Respiratory Motion Compensation on Hybrid PET/MR Systems
Material Type:
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Self-gated Radial MRI for Respiratory Motion Compensation on Hybrid PET/MR Systems

Grimm, Robert ; Fürst, Sebastian ; Dregely, Isabel ; Forman, Christoph ; Hutter, Jana Maria ; Ziegler, Sibylle I. ; Nekolla, Stephan ; Kiefer, Berthold ; Schwaiger, Markus ; Hornegger, Joachim ; Block, Tobias

Medical Image Computing and Computer-Assisted Intervention – MICCAI 2013, 2013, Vol.16 (Pt 3), p.17-24 [Periódico revisado por pares]

Berlin, Heidelberg: Springer Berlin Heidelberg

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3
Fiducial-Free Registration Procedure for Navigated Bronchoscopy
Fiducial-Free Registration Procedure for Navigated Bronchoscopy
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Ata de Congresso 		Adicionar ao Meu Espaço

Fiducial-Free Registration Procedure for Navigated Bronchoscopy

Klein, Tassilo ; Traub, Joerg ; Hautmann, Hubert ; Ahmadian, Alireza ; Navab, Nassir

Medical Image Computing and Computer-Assisted Intervention – MICCAI 2007, 2007, Vol.10 (Pt 1), p.475-482 [Periódico revisado por pares]

Berlin, Heidelberg: Springer Berlin Heidelberg

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4
Computer-Aided Detection of Ground Glass Nodules in Thoracic CT Images Using Shape, Intensity and Context Features
Computer-Aided Detection of Ground Glass Nodules in Thoracic CT Images Using Shape, Intensity and Context Features
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Computer-Aided Detection of Ground Glass Nodules in Thoracic CT Images Using Shape, Intensity and Context Features

Jacobs, Colin ; Sánchez, Clara I. ; Saur, Stefan C. ; Twellmann, Thorsten ; de Jong, Pim A. ; van Ginneken, Bram

Medical Image Computing and Computer-Assisted Intervention – MICCAI 2011, 2011, Vol.14 (Pt 3), p.207-214 [Periódico revisado por pares]

Berlin, Heidelberg: Springer Berlin Heidelberg

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5
3D Shape Analysis for Early Diagnosis of Malignant Lung Nodules
3D Shape Analysis for Early Diagnosis of Malignant Lung Nodules
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3D Shape Analysis for Early Diagnosis of Malignant Lung Nodules

El-Baz, Ayman ; Nitzken, Matthew ; Elnakib, Ahmed ; Khalifa, Fahmi ; Gimel’farb, Georgy ; Falk, Robert ; El-Ghar, Mohamed Abou

Medical Image Computing and Computer-Assisted Intervention – MICCAI 2011, 2011, Vol.14 (Pt 3), p.175-182 [Periódico revisado por pares]

Berlin, Heidelberg: Springer Berlin Heidelberg

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6
Thoracoscopic Surgical Navigation System for Cancer Localization in Collapsed Lung Based on Estimation of Lung Deformation
Thoracoscopic Surgical Navigation System for Cancer Localization in Collapsed Lung Based on Estimation of Lung Deformation
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Thoracoscopic Surgical Navigation System for Cancer Localization in Collapsed Lung Based on Estimation of Lung Deformation

Nakamoto, Masahiko ; Aburaya, Naoki ; Sato, Yoshinobu ; Konishi, Kozo ; Yoshino, Ichiro ; Hashizume, Makoto ; Tamura, Shinichi

Medical Image Computing and Computer-Assisted Intervention – MICCAI 2007, 2007, Vol.10 (Pt 2), p.68-76 [Periódico revisado por pares]

Berlin, Heidelberg: Springer Berlin Heidelberg

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7
Mining Histopathological Images via Composite Hashing and Online Learning
Mining Histopathological Images via Composite Hashing and Online Learning
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Mining Histopathological Images via Composite Hashing and Online Learning

Zhang, Xiaofan ; Yang, Lin ; Liu, Wei ; Su, Hai ; Zhang, Shaoting

Medical Image Computing and Computer-Assisted Intervention – MICCAI 2014, 2014, Vol.17 (Pt 2), p.479-486 [Periódico revisado por pares]

Cham: Springer International Publishing

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