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 | 2456 | 2020 |
Using filter banks in convolutional neural networks for texture classification V Andrearczyk, PF Whelan Pattern Recognition Letters 84, 63-69, 2016 | 294 | 2016 |
Head and neck tumor segmentation in PET/CT: the HECKTOR challenge V Oreiller, V Andrearczyk, M Jreige, S Boughdad, H Elhalawani, J Castelli, ... Medical image analysis 77, 102336, 2022 | 167 | 2022 |
Overview of the HECKTOR challenge at MICCAI 2021: automatic head and neck tumor segmentation and outcome prediction in PET/CT images V Andrearczyk, V Oreiller, S Boughdad, CCL Rest, H Elhalawani, ... 3D head and neck tumor segmentation in PET/CT challenge, 1-37, 2021 | 148 | 2021 |
Making radiomics more reproducible across scanner and imaging protocol variations: a review of harmonization methods SA Mali, A Ibrahim, HC Woodruff, V Andrearczyk, H Müller, S Primakov, ... Journal of personalized medicine 11 (9), 842, 2021 | 96 | 2021 |
Overview of the HECKTOR challenge at MICCAI 2020: automatic head and neck tumor segmentation in PET/CT V Andrearczyk, V Oreiller, M Jreige, M Vallieres, J Castelli, H Elhalawani, ... Head and Neck Tumor Segmentation: First Challenge, HECKTOR 2020, Held in …, 2021 | 94 | 2021 |
Regression concept vectors for bidirectional explanations in histopathology M Graziani, V Andrearczyk, H Müller Understanding and Interpreting Machine Learning in Medical Image Computing …, 2018 | 91 | 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 | 84 | 2020 |
Convolutional neural network on three orthogonal planes for dynamic texture classification V Andrearczyk, PF Whelan Pattern Recognition 76, 36-49, 2018 | 81 | 2018 |
Overview of ImageCLEF 2018: Challenges, datasets and evaluation B Ionescu, H Müller, M Villegas, A García Seco de Herrera, C Eickhoff, ... Experimental IR Meets Multilinguality, Multimodality, and Interaction: 9th …, 2018 | 81 | 2018 |
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 | 72 | 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 | 70 | 2019 |
Overview of the ImageCLEF 2018 caption prediction tasks A García Seco de Herrera, C Eickhof, V Andrearczyk, H Müller Working Notes of CLEF 2018-Conference and Labs of the Evaluation Forum (CLEF …, 2018 | 62 | 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 | 47 | 2017 |
A global taxonomy of interpretable AI: unifying the terminology for the technical and social sciences M Graziani, L Dutkiewicz, D Calvaresi, JP Amorim, K Yordanova, M Vered, ... Artificial intelligence review 56 (4), 3473-3504, 2023 | 45 | 2023 |
Standardised convolutional filtering for radiomics A Depeursinge, V Andrearczyk, P Whybra, J van Griethuysen, H Müller, ... arXiv preprint arXiv:2006.05470, 2020 | 45 | 2020 |
An exploration of uncertainty information for segmentation quality assessment K Hoebel, V Andrearczyk, A Beers, J Patel, K Chang, A Depeursinge, ... Medical Imaging 2020: Image Processing 11313, 381-390, 2020 | 39 | 2020 |
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: First …, 2018 | 36 | 2018 |
Multi-task deep segmentation and radiomics for automatic prognosis in head and neck cancer V Andrearczyk, P Fontaine, V Oreiller, J Castelli, M Jreige, JO Prior, ... Predictive Intelligence in Medicine: 4th International Workshop, PRIME 2021 …, 2021 | 28 | 2021 |
Neural network training for cross-protocol radiomic feature standardization in computed tomography V Andrearczyk, A Depeursinge, H Müller Journal of Medical Imaging 6 (2), 024008-024008, 2019 | 28 | 2019 |