Vincent Andrearczyk
Vincent Andrearczyk üzerinde doğrulanmış e-posta adresine sahip
Alıntı yapanlar
Alıntı yapanlar
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
Texture segmentation with fully convolutional networks
V Andrearczyk, PF Whelan
arXiv preprint arXiv:1703.05230, 2017
Deep learning for biomedical texture image analysis
V Andrearczyk, PF Whelan
Proceedings of the Irish Machine Vision & Image Processing Conference, 2017
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
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
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
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
Improved interpretability for computer-aided severity assessment of retinopathy of prematurity
M Graziani, JM Brown, V Andrearczyk, V Yildiz, JP Campbell, ...
Medical Imaging 2019: Computer-Aided Diagnosis 10950, 109501R, 2019
Rotational 3D texture classification using group equivariant CNNs
V Andrearczyk, A Depeursinge
arXiv preprint arXiv:1810.06889, 2018
Concept attribution: Explaining CNN decisions to physicians
M Graziani, V Andrearczyk, S Marchand-Maillet, H Müller
Computers in Biology and Medicine 123, 103865, 2020
Image magnification regression using densenet for exploiting histopathology open access content
S Otálora, M Atzori, V Andrearczyk, H Müller
Computational pathology and ophthalmic medical image analysis, 148-155, 2018
Dynamic texture classification using combined co-occurrence matrices of optical flow
V Andrearczyk, PF Whelan
Irish Machine Vision & Image Processing Conference proceedings IMVIP 2015, 2015
A 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
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