| 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 | 1377* | 2020 |
| Using filter banks in convolutional neural networks for texture classification V Andrearczyk, PF Whelan Pattern Recognition Letters 84, 63-69, 2016 | 205 | 2016 |
| Overview of ImageCLEF 2018: Challenges, datasets and evaluation B Ionescu, H Müller, M Villegas, A García Seco de Herrera, C Eickhoff, ... International Conference of the Cross-Language Evaluation Forum for European …, 2018 | 69 | 2018 |
| Convolutional neural network on three orthogonal planes for dynamic texture classification V Andrearczyk, PF Whelan Pattern Recognition 76, 36-49, 2018 | 62 | 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 | 51 | 2018 |
| 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 | 46 | 2018 |
| 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 | 41 | 2020 |
| 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 | 39 | 2020 |
| Deep Learning in Texture Analysis and its Application to Tissue Image Classification V Andrearczyk, P Whelan Biomedical Texture Analysis: Fundamentals, Applications, Tools and …, 2017 | 33 | 2017 |
| 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, 198, 2019 | 29 | 2019 |
| 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 | 28 | 2021 |
| 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 | 27 | 2022 |
| Concept attribution: Explaining CNN decisions to physicians M Graziani, V Andrearczyk, S Marchand-Maillet, H Müller Computers in biology and medicine 123, 103865, 2020 | 27 | 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, 319-327, 2018 | 24 | 2018 |
| Texture segmentation with fully convolutional networks V Andrearczyk, PF Whelan arXiv preprint arXiv:1703.05230, 2017 | 19 | 2017 |
| 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 | 18 | 2019 |
| Deep learning for biomedical texture image analysis V Andrearczyk, PF Whelan Proceedings of the Irish Machine Vision & Image Processing Conference, 2017 | 17 | 2017 |
| 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 | 16 | 2019 |
| 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, 450-460, 2019 | 16 | 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 | 16 | 2018 |
Henning MüllerProfessor in computer science at HES-SO & in radiology at the University of Genevahevs.ch üzerinde doğrulanmış e-posta adresine sahip
