| Deep learning-based segmentation of breast masses in dedicated breast CT imaging: Radiomic feature stability between radiologists and artificial intelligence M Caballo, DR Pangallo, RM Mann, I Sechopoulos Computers in biology and medicine 118, 103629, 2020 | 67 | 2020 |
| Multi-Scale deep learning framework for cochlea localization, segmentation and analysis on clinical ultra-high-resolution CT images F Heutink, V Koch, B Verbist, WJ van der Woude, E Mylanus, W Huinck, ... Computer methods and programs in biomedicine 191, 105387, 2020 | 55 | 2020 |
| An unsupervised automatic segmentation algorithm for breast tissue classification of dedicated breast computed tomography images M Caballo, JM Boone, R Mann, I Sechopoulos Medical physics 45 (6), 2542-2559, 2018 | 38 | 2018 |
| Quantitative analysis of thyroid tumors vascularity: A comparison between 3‐D contrast‐enhanced ultrasound and 3‐D Power Doppler on benign and malignant thyroid nodules C Caresio, M Caballo, M Deandrea, R Garberoglio, A Mormile, ... Medical physics 45 (7), 3173-3184, 2018 | 27 | 2018 |
| Deep learning reconstruction of digital breast tomosynthesis images for accurate breast density and patient-specific radiation dose estimation J Teuwen, N Moriakov, C Fedon, M Caballo, I Reiser, P Bakic, E García, ... Medical image analysis 71, 102061, 2021 | 26 | 2021 |
| Internal breast dosimetry in mammography: Monte Carlo validation in homogeneous and anthropomorphic breast phantoms with a clinical mammography system C Fedon, M Caballo, I Sechopoulos Medical physics 45 (8), 3950-3961, 2018 | 24 | 2018 |
| Patient‐derived heterogeneous breast phantoms for advanced dosimetry in mammography and tomosynthesis M Caballo, C Rabin, C Fedon, A Rodríguez‐Ruiz, O Diaz, JM Boone, ... Medical physics 49 (8), 5423-5438, 2022 | 19 | 2022 |
| Fibroglandular tissue distribution in the breast during mammography and tomosynthesis based on breast CT data: A patient‐based characterization of the breast parenchyma C Fedon, M Caballo, E García, O Diaz, JM Boone, DR Dance, ... Medical physics 48 (3), 1436-1447, 2021 | 19 | 2021 |
| Patient‐based 4D digital breast phantom for perfusion contrast‐enhanced breast CT imaging M Caballo, R Mann, I Sechopoulos Medical physics 45 (10), 4448-4460, 2018 | 19 | 2018 |
| Four‐dimensional machine learning radiomics for the pretreatment assessment of breast cancer pathologic complete response to neoadjuvant chemotherapy in dynamic contrast … M Caballo, WBG Sanderink, L Han, Y Gao, A Athanasiou, RM Mann Journal of Magnetic Resonance Imaging 57 (1), 97-110, 2023 | 18 | 2023 |
| Towards 4D dedicated breast CT perfusion imaging of cancer: development and validation of computer simulated images M Caballo, K Michielsen, C Fedon, I Sechopoulos Physics in Medicine & Biology 64 (24), 245004, 2019 | 17 | 2019 |
| Development of 3D patient-based super-resolution digital breast phantoms using machine learning M Caballo, C Fedon, L Brombal, R Mann, R Longo, I Sechopoulos Physics in Medicine & Biology 63 (22), 225017, 2018 | 17 | 2018 |
| Internal breast dosimetry in mammography: experimental methods and Monte Carlo validation with a monoenergetic x‐ray beam C Fedon, M Caballo, R Longo, A Trianni, I Sechopoulos Medical physics 45 (4), 1724-1737, 2018 | 17 | 2018 |
| Multi‐marker quantitative radiomics for mass characterization in dedicated breast CT imaging M Caballo, DR Pangallo, W Sanderink, AM Hernandez, SH Lyu, ... Medical physics 48 (1), 313-328, 2021 | 15 | 2021 |
| Realistic compressed breast phantoms for medical physics applications E García, C Fedon, M Caballo, R Martí, I Sechopoulos, O Diaz 15th International Workshop on Breast Imaging (IWBI2020) 11513, 30-37, 2020 | 13 | 2020 |
| Monte Carlo study on optimal breast voxel resolution for dosimetry estimates in digital breast tomosynthesis C Fedon, C Rabin, M Caballo, O Diaz, E García, A Rodríguez-Ruiz, ... Physics in Medicine & Biology 64 (1), 015003, 2018 | 11 | 2018 |
| Computer-aided diagnosis of masses in breast computed tomography imaging: deep learning model with combined handcrafted and convolutional radiomic features M Caballo, AM Hernandez, SH Lyu, J Teuwen, RM Mann, ... Journal of medical imaging 8 (2), 024501-024501, 2021 | 9 | 2021 |
| Breast parenchyma analysis and classification for breast masses detection using texture feature descriptors and neural networks in dedicated breast CT images M Caballo, J Teuwen, R Mann, I Sechopoulos Medical Imaging 2019: Computer-Aided Diagnosis 10950, 125-138, 2019 | 6 | 2019 |
| Reliability of MRI tumor size measurements for minimal invasive treatment selection in small breast cancers WBG Sanderink, M Caballo, LJA Strobbe, P Bult, W Vreuls, DJ Venderink, ... European Journal of Surgical Oncology 46 (8), 1463-1470, 2020 | 5 | 2020 |
| Radiomics in cone-beam breast CT for the prediction of axillary lymph node metastasis in breast cancer: a multi-center multi-device study Y Zhu, Y Ma, Z Zhai, A Liu, Y Wang, Y Zhang, H Li, M Zhao, P Han, L Yin, ... European radiology, 1-14, 2023 | 4 | 2023 |
Ioannis SechopoulosRadboud University Medical CenterVerified email at radboudumc.nl
