| 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 | 818* | 2020 |
| Using filter banks in convolutional neural networks for texture classification V Andrearczyk, PF Whelan Pattern Recognition Letters 84, 63-69, 2016 | 179 | 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 | 60 | 2018 |
| Convolutional neural network on three orthogonal planes for dynamic texture classification V Andrearczyk, PF Whelan Pattern Recognition 76, 36-49, 2018 | 51 | 2018 |
| Overview of the ImageCLEF 2018 caption prediction tasks A Garcia Seco De Herrera, C Eickhof, V Andrearczyk, H Müller CEUR Workshop Proceedings, 2018 | 37 | 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 | 35 | 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 | 22 | 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 7, 198, 2019 | 18 | 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 | 18 | 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 | 17 | 2020 |
| Texture segmentation with fully convolutional networks V Andrearczyk, PF Whelan arXiv preprint arXiv:1703.05230, 2017 | 17 | 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 | 15 | 2019 |
| Deep learning for biomedical texture image analysis V Andrearczyk, PF Whelan Proceedings of the Irish Machine Vision & Image Processing Conference, 2017 | 15 | 2017 |
| 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 | 14 | 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 | 13 | 2020 |
| Concept attribution: Explaining CNN decisions to physicians M Graziani, V Andrearczyk, S Marchand-Maillet, H Müller Computers in biology and medicine 123, 103865, 2020 | 13 | 2020 |
| 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 | 13 | 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 | 13 | 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 | 11 | 2019 |
| 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 | 10 | 2018 |
Henning MüllerProfessor in computer science at HES-SO & in radiology at the University of Genevahevs.ch üzerinde doğrulanmış e-posta adresine sahip
