Publications for topic "VISCERAL" sorted by title

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Abdel Aziz Taha, Allan Hanbury and Oscar Jimenez del Toro, A Formal Method For Selecting Evaluation Metrics For Image Segmentation, in: IEEE International Conference on Image Processing (ICIP) 2014, Paris, France, 2014
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Antonio Foncubierta-Rodríguez, Oscar Jimenez del Toro, Alexandra Platon, Pierre-Alexandre Poletti, Henning Müller and Adrien Depeursinge, Benefits of texture analysis of dual energy CT for computer-aided pulmonary embolism detection, in: The 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2013), Osaka, Japan, pages 3973-3976, 2013
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Yashin Dicente Cid, Oscar Jimenez del Toro, Adrien Depeursinge and Henning Müller, Efficient and fully automatic segmentation of the lungs in CT volumes, in: Proceedings of the VISCERAL Anatomy Grand Challenge at the 2015 IEEE ISBI, New York, USA, pages 31-35, CEUR-WS, 2015
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Oscar Jimenez del Toro, Antonio Foncubierta-Rodríguez, Maria-Isabel Vargas Gomez, Henning Müller and Adrien Depeursinge, Epileptogenic lesion quantification in MRI using contralateral 3D texture comparisons, in: Medical Image Computing and Computer-Assisted Intervention – MICCAI 2013, pages 353-360, Springer Berlin Heidelberg, 2013
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Ranveer Joyseeree and Henning Müller, Finding seed points for organ segmentation using example annotations, in: SPIE Medical Imaging 2014, San Diego, CA, USA, 2014
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Oscar Jimenez del Toro and Henning Müller, Hierarchical multi-structure segmentation guided by anatomical correlations, in: Proceedings of the VISCERAL Challenge at ISBI, Beijing, China, pages 32-36, 2014
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Oscar Jimenez del Toro and Henning Müller, Multi atlas–based segmentation with data driven refinement, in: Biomedical and Health Informatics (BHI), 2014 IEEE-EMBS International Conference on, Valencia, Spain, pages 605-608, IEEE, 2014
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Oscar Jimenez del Toro and Henning Müller, Multi-Structure Atlas-Based Segmentation Using Anatomical Regions Of Interest, in: Medical Computer Vision. Large Data in Medical Imaging, Nagoya, Japan, pages 217-221, Springer International Publishing, 2014
  • []: IF 2005=0.402

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O

Henning Müller, Bjoern Menze, Georg Langs, Albert Montillo, Michael Kelm, Zhuowen Tu and Oscar Jimenez del Toro, Overview of the 2013 workshop on Medical Computer Vision (MCV 2013), in: Medical Computer Vision. Large Data in Medical Imaging, pages 3-10, Springer International Publishing, 2014
  • []: IF 2005=0.402

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Oscar Jimenez del Toro, Antonio Foncubierta-Rodríguez, Henning Müller, Georg Langs and Allan Hanbury, Overview of the VISCERAL Retrieval Benchmark 2015, in: Multimodal Retrieval in the Medical Domain, Vienna, Austria, Springer, 2015
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Oscar Jimenez del Toro, Pol Cirujeda, Yashin Dicente Cid and Henning Müller, RadLex Terms and Local Texture Features for Multimodal Medical Case Retrieval, in: Multimodal Retrieval in the Medical Domain (MRMD) 2015, Vienna, Austria, Springer, 2015
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Oscar Jimenez del Toro, Henning Müller, Antonio Foncubierta-Rodríguez, Georg Langs and Allan Hanbury, Retrieval of Medical Cases for Diagnostic Decisions: VISCERAL Retrieval Benchmark, chapter Retrieval of Medical Cases for Diagnostic Decisions: VISCERAL Retrieval Benchmark, Springer, 2017
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Henning Müller, Semantik und Bilddaten: wie Terminologien in der Radiologie helfen könnten, in: Deutscher Roentgenkongress, Hamburg, Germany, 2013
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Fan Zhang, Yang Song, Weidong Cai, Adrien Depeursinge and Henning Müller, USYD/HES-SO in the VISCERAL Retrieval Benchmark, in: ECIR workshop on Multimodal Retrieval in the Medical Domain, Vienna, Austria, Springer Lecture Notes in Computer Science (LNCS), 2015
  • []: IF 2005=0.402

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