| Radiomics: from qualitative to quantitative imaging W Rogers, S Thulasi Seetha, TAG Refaee, RIY Lieverse, RWY Granzier, ... The British journal of radiology 93 (1108), 20190948, 2020 | 295 | 2020 |
| Radiomics for precision medicine: Current challenges, future prospects, and the proposal of a new framework A Ibrahim, S Primakov, M Beuque, HC Woodruff, I Halilaj, G Wu, T Refaee, ... Methods 188, 20-29, 2021 | 215 | 2021 |
| Automated detection and segmentation of non-small cell lung cancer computed tomography images SP Primakov, A Ibrahim, JE van Timmeren, G Wu, SA Keek, M Beuque, ... Nature communications 13 (1), 3423, 2022 | 108 | 2022 |
| Combining deep learning and handcrafted radiomics for classification of suspicious lesions on contrast-enhanced mammograms MPL Beuque, MBI Lobbes, Y van Wijk, Y Widaatalla, S Primakov, M Majer, ... Radiology 307 (5), e221843, 2023 | 33 | 2023 |
| Machine learning for grading and prognosis of esophageal dysplasia using mass spectrometry and histological imaging M Beuque, M Martin-Lorenzo, B Balluff, HC Woodruff, M Lucas, ... Computers in biology and medicine 138, 104918, 2021 | 18 | 2021 |
| Target exposure and pharmacodynamics study of the indoleamine 2, 3-dioxygenase-1 (IDO-1) inhibitor epacadostat in the CT26 mouse tumor model L Poncelet, R Ait-Belkacem, R Marillier, B Gomes, J Stauber Journal of Pharmaceutical and Biomedical Analysis 170, 220-227, 2019 | 15 | 2019 |
| Precision-medicine-toolbox: An open-source python package for the quantitative medical image analysis E Lavrova, S Primakov, Z Salahuddin, M Beuque, D Verstappen, ... Software Impacts 16, 100508, 2023 | 9 | 2023 |
| Predicting adverse radiation effects in brain tumors after stereotactic radiotherapy with deep learning and handcrafted radiomics SA Keek, M Beuque, S Primakov, HC Woodruff, A Chatterjee, ... Frontiers in oncology 12, 920393, 2022 | 8 | 2022 |
| The creation of a large set of realistic synthetic microcalcification clusters for simulation in (contrast-enhanced) mammography images A Van Camp, L Cockmartin, M Beuque, H Woodruff, N Marshall, P Lambin, ... Medical Imaging 2022: Physics of Medical Imaging 12031, 213-221, 2022 | 6 | 2022 |
| Automated detection and delineation of lymph nodes in haematoxylin & eosin stained digitised slides M Beuque, DR Magee, A Chatterjee, HC Woodruff, RE Langley, W Allum, ... Journal of Pathology Informatics 14, 100192, 2023 | 3 | 2023 |
| OC-0557 AI-based NSCLC detection and segmentation: Faster and more prognostic than manual segmentation S Primakov, A Ibrahim, J van Timmeren, G Wu, S Keek, M Beuque, ... Radiotherapy and Oncology 161, S441-S443, 2021 | 3 | 2021 |
| A review of some reference analytic solutions for the magnetohydrodynamic flow of blood A Drochon, M Beuque, DDRAA Rodriguez Applied Mathematics 9 (10), 1179-1192, 2018 | 3 | 2018 |
| Impact of an External Magnetic Field on the Shear Stresses Exerted by Blood Flowing in a Large Vessel A Drochon, M Beuque, AAR Dima Journal of Applied Mathematics and Physics (JAMP) 5 (7), 1493-1502, 2017 | 2 | 2017 |
| Towards texture accurate slice interpolation of medical images using PixelMiner W Rogers, SA Keek, M Beuque, E Lavrova, S Primakov, G Wu, C Yan, ... Computers in Biology and Medicine 161, 106701, 2023 | 1 | 2023 |
| Synthetic data of simulated microcalcification clusters to train and explain deep learning detection models in contrast-enhanced mammography A Van Camp, M Beuque, L Cockmartin, HC Woodruff, NW Marshall, ... 16th International Workshop on Breast Imaging (IWBI2022) 12286, 198-205, 2022 | 1 | 2022 |
| Altering the decision threshold as a simple and effective method for machine learning-based classification of imbalanced radiation oncology data A Chatterjee, H Woodruff, M Lobbes, Y van Wijk, M Beuque, J Seuntjens, ... International Journal of Radiation Oncology, Biology, Physics 108 (3), e332, 2020 | 1 | 2020 |
| Combining deep learning and radiomics-based machine learning to optimize predictions on medical images M Beuque | | 2023 |
| Validated fully automated detection and segmentation of non-small cell lung cancer on computed tomography images SP Primakov, A Ibrahim, JE van Timmeren, G Wua, SA Keek, M Beuque, ... Artificial intelligence in medical image analysis: robustness and …, 2022 | | 2022 |
| Machine learning with imbalanced clinical data: does synthetic minority oversampling help? A Chatterjee, HC Woodruff, M Lobbes, Y van Wijk, M Beuque, P Lambin Physica Medica: European Journal of Medical Physics 92, S7, 2021 | | 2021 |
| Detection and Segmentation of Oesophageal Cancer Lymph Nodes Within Large H&E Datasets Using Explainable Features to Characterize Pixel-Wise Predictions M Beuque, A Chatterjee, HC Woodruff, RE Langley, W Allum, ... JOURNAL OF PATHOLOGY 255, S20-S20, 2021 | | 2021 |
