Vincent Andrearczyk
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The image biomarker standardization initiative: standardized quantitative radiomics for high-throughput image-based phenotyping
A Zwanenburg, M Vallières, MA Abdalah, HJWL Aerts, V Andrearczyk, ...
Radiology 295 (2), 328-338, 2020
Using filter banks in convolutional neural networks for texture classification
V Andrearczyk, PF Whelan
Pattern Recognition Letters 84, 63-69, 2016
Overview of ImageCLEF 2018: Challenges, datasets and evaluation
B Ionescu, H Müller, M Villegas, AGS de Herrera, C Eickhoff, ...
International Conference of the Cross-Language Evaluation Forum for European …, 2018
Convolutional neural network on three orthogonal planes for dynamic texture classification
V Andrearczyk, PF Whelan
Pattern Recognition 76, 36-49, 2018
Overview of the ImageCLEF 2018 caption prediction tasks
A Garcia Seco De Herrera, C Eickhof, V Andrearczyk, H Müller
CEUR Workshop Proceedings, 2018
Regression concept vectors for bidirectional explanations in histopathology
M Graziani, V Andrearczyk, H Müller
Understanding and Interpreting Machine Learning in Medical Image Computing …, 2018
Deep Learning in Texture Analysis and its Application to Tissue Image Classification
V Andrearczyk, P Whelan
Biomedical Texture Analysis: Fundamentals, Applications, Tools and …, 2017
Automatic segmentation of head and neck tumors and nodal metastases in PET-CT scans
V Andrearczyk, V Oreiller, M Vallières, J Castelli, H Elhalawani, M Jreige, ...
Medical Imaging with Deep Learning, 33-43, 2020
Staining invariant features for improving generalization of deep convolutional neural networks in computational pathology
S Otálora, M Atzori, V Andrearczyk, A Khan, H Müller
Frontiers in bioengineering and biotechnology 7, 198, 2019
Glaucoma diagnosis from eye fundus images based on deep morphometric feature estimation
O Perdomo, V Andrearczyk, F Meriaudeau, H Müller, FA González
Computational pathology and ophthalmic medical image analysis, 319-327, 2018
Texture segmentation with fully convolutional networks
V Andrearczyk, PF Whelan
arXiv preprint arXiv:1703.05230, 2017
Overview of the HECKTOR challenge at MICCAI 2020: automatic head and neck tumor segmentation in PET/CT
V Andrearczyk, V Oreiller, M Jreige, M Vallières, J Castelli, H Elhalawani, ...
3D Head and Neck Tumor Segmentation in PET/CT Challenge, 1-21, 2020
Deep learning for biomedical texture image analysis
V Andrearczyk, PF Whelan
Proceedings of the Irish Machine Vision & Image Processing Conference, 2017
Concept attribution: Explaining CNN decisions to physicians
M Graziani, V Andrearczyk, S Marchand-Maillet, H Müller
Computers in biology and medicine 123, 103865, 2020
Exploring local rotation invariance in 3D CNNs with steerable filters
V Andrearczyk, J Fageot, V Oreiller, X Montet, A Depeursinge
International Conference on Medical Imaging with Deep Learning, 15-26, 2019
Rotation invariance and directional sensitivity: Spherical harmonics versus radiomics features
A Depeursinge, J Fageot, V Andrearczyk, JP Ward, M Unser
International Workshop on Machine Learning in Medical Imaging, 107-115, 2018
Systematic comparison of deep learning strategies for weakly supervised Gleason grading
S Otálora, M Atzori, A Khan, O Jimenez-del-Toro, V Andrearczyk, H Müller
Medical Imaging 2020: Digital Pathology 11320, 113200L, 2020
Deep multimodal classification of image types in biomedical journal figures
V Andrearczyk, H Müller
International Conference of the Cross-Language Evaluation Forum for European …, 2018
Standardised convolutional filtering for radiomics
A Depeursinge, V Andrearczyk, P Whybra, J van Griethuysen, H Müller, ...
arXiv preprint arXiv:2006.05470, 2020
Neural network training for cross-protocol radiomic feature standardization in computed tomography
V Andrearczyk, A Depeursinge, H Müller
Journal of Medical Imaging 6 (2), 024008, 2019
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