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Reducing annotation effort in digital pathology: A Co-Representation learning framework for classification tasks

Medical image analysis, 2021-01, Vol.67, p.101859-101859, Article 101859

2021

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Overview of the VISCERAL Retrieval Benchmark 2015

Multimodal Retrieval in the Medical Domain, p.115-123

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Retrieval of high-dimensional visual data: current state, trends and challenges ahead

Multimedia tools and applications, 2014-03, Vol.69 (2), p.539-567

2014

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Extracting Information from Molecular Pathway Diagrams

Graphics Recognition. Current Trends and Evolutions, p.99-114

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Overview of the First Workshop of Muldimodal Retrieval in the Medical Domain (MRMD 2015)

Multimodal Retrieval in the Medical Domain, 2015, p.1-7

2015

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Three-dimensional solid texture analysis in biomedical imaging: Review and opportunities

Medical image analysis, 2014-01, Vol.18 (1), p.176-196

2014

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Hierarchical graph representations in digital pathology

Medical image analysis, 2022-01, Vol.75, p.102264-102264, Article 102264

2022

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Epileptogenic Lesion Quantification in MRI Using Contralateral 3D Texture Comparisons

Medical Image Computing and Computer-Assisted Intervention – MICCAI 2013, 2013, Vol.16 (Pt 2), p.353-360

2013

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Cloud-Based Evaluation of Anatomical Structure Segmentation and Landmark Detection Algorithms: VISCERAL Anatomy Benchmarks

IEEE transactions on medical imaging, 2016-11, Vol.35 (11), p.2459-2475

2016

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Multiscale Lung Texture Signature Learning Using the Riesz Transform

Medical Image Computing and Computer-Assisted Intervention – MICCAI 2012, 2012, Vol.15 (Pt 3), p.517-524

2012

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Multimodal Retrieval in the Medical Domain: First International Workshop, MRMD 2015, Vienna, Austria, March 29, 2015, Revised Selected Papers

2015

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Quantification of tumor heterogeneity: from data acquisition to metric generation

Trends in biotechnology (Regular ed.), 2022-06, Vol.40 (6), p.647-676

2022

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HACT-Net: A Hierarchical Cell-to-Tissue Graph Neural Network for Histopathological Image Classification

Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Graphs in Biomedical Image Analysis, p.208-219

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Ground truth generation in medical imaging: a crowdsourcing-based iterative approach

Proceedings of the ACM multimedia 2012 workshop on Crowdsourcing for multimedia, 2012, p.9-14

2012

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Multimodal Retrieval in the Medical Domain: First International Workshop, MRMD 2015, Vienna, Austria, March 29, 2015, Revised Selected Papers

1st ed. 2015, 2015

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Semi–supervised Learning for Image Modality Classification

Multimodal Retrieval in the Medical Domain, p.85-98

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2D–Based 3D Volume Retrieval Using Singular Value Decomposition of Detected Regions

Medical Computer Vision. Large Data in Medical Imaging, p.185-195

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Lung Texture Classification Using Locally–Oriented Riesz Components

Medical Image Computing and Computer-Assisted Intervention – MICCAI 2011, 2011, Vol.14 (Pt 3), p.231-238

2011

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Retrieval of 4D Dual Energy CT for Pulmonary Embolism Diagnosis

Medical Content-Based Retrieval for Clinical Decision Support, p.45-55

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Enhanced visualization of pulmonary perfusion in 4D Dual Energy CT images

2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014, Vol.2014, p.6710-6713

2014

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Benefits of texture analysis of dual energy CT for Computer-Aided pulmonary embolism detection

2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2013, Vol.2013, p.3973-3976

2013

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Learning-based defect recognition for quasi-periodic HRSTEM images

Micron (Oxford, England : 1993), 2021-07, Vol.146, p.103069-103069, Article 103069

2021

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Using Multiscale Visual Words for Lung Texture Classification and Retrieval

Medical Content-Based Retrieval for Clinical Decision Support, p.69-79

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Rotation-Covariant Texture Learning Using Steerable Riesz Wavelets

IEEE transactions on image processing, 2014-02, Vol.23 (2), p.898-908

2014

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Fusing modalities by multiplexed graph neural networks for outcome prediction from medical data and beyond

Medical image analysis, 2024-04, Vol.93, p.103064-103064, Article 103064

2024

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Reducing annotation effort in digital pathology: A Co-Representation learning framework for classification tasks

Overview of the VISCERAL Retrieval Benchmark 2015

Retrieval of high-dimensional visual data: current state, trends and challenges ahead

Extracting Information from Molecular Pathway Diagrams

Overview of the First Workshop of Muldimodal Retrieval in the Medical Domain (MRMD 2015)

Three-dimensional solid texture analysis in biomedical imaging: Review and opportunities

Hierarchical graph representations in digital pathology

Epileptogenic Lesion Quantification in MRI Using Contralateral 3D Texture Comparisons

Cloud-Based Evaluation of Anatomical Structure Segmentation and Landmark Detection Algorithms: VISCERAL Anatomy Benchmarks

Multiscale Lung Texture Signature Learning Using the Riesz Transform

Multimodal Retrieval in the Medical Domain: First International Workshop, MRMD 2015, Vienna, Austria, March 29, 2015, Revised Selected Papers

Quantification of tumor heterogeneity: from data acquisition to metric generation

HACT-Net: A Hierarchical Cell-to-Tissue Graph Neural Network for Histopathological Image Classification

Ground truth generation in medical imaging: a crowdsourcing-based iterative approach

Multimodal Retrieval in the Medical Domain: First International Workshop, MRMD 2015, Vienna, Austria, March 29, 2015, Revised Selected Papers

Semi–supervised Learning for Image Modality Classification

2D–Based 3D Volume Retrieval Using Singular Value Decomposition of Detected Regions

Lung Texture Classification Using Locally–Oriented Riesz Components

Retrieval of 4D Dual Energy CT for Pulmonary Embolism Diagnosis

Enhanced visualization of pulmonary perfusion in 4D Dual Energy CT images

Benefits of texture analysis of dual energy CT for Computer-Aided pulmonary embolism detection

Learning-based defect recognition for quasi-periodic HRSTEM images

Using Multiscale Visual Words for Lung Texture Classification and Retrieval

Rotation-Covariant Texture Learning Using Steerable Riesz Wavelets

Fusing modalities by multiplexed graph neural networks for outcome prediction from medical data and beyond

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