| Sample-Size Determination Methodologies for Machine Learning in Medical Imaging Research: A Systematic Review i Indranil Balki, Afsaneh Amirabadi, Jacob Levman, Anne L. Martel, Ziga ... Canadian Association of Radiologists Journal, 2019 | 255 | 2019 |
| Machine learning for health: algorithm auditing & quality control L Oala, AG Murchison, P Balachandran, S Choudhary, J Fehr, AW Leite, ... Journal of medical systems 45, 1-8, 2021 | 53 | 2021 |
| Correcting data imbalance for semi-supervised covid-19 detection using x-ray chest images S Calderon-Ramirez, S Yang, A Moemeni, D Elizondo, ... Applied Soft Computing 111, 107692, 2021 | 52 | 2021 |
| Ml4h auditing: From paper to practice L Oala, J Fehr, L Gilli, P Balachandran, AW Leite, S Calderon-Ramirez, ... Machine learning for health, 280-317, 2020 | 52 | 2020 |
| Improving uncertainty estimation with semi-supervised deep learning for COVID-19 detection using chest X-ray images S Calderon-Ramirez, S Yang, A Moemeni, S Colreavy-Donnelly, ... Ieee Access 9, 85442-85454, 2021 | 47 | 2021 |
| Dealing with Scarce Labelled Data: Semi-supervised Deep Learning with Mix Match for Covid-19 Detection Using Chest X-ray Images S Calderon-Ramirez, R Giri, A Moemeni, M Umaña, D Elizondo, ... International Conference on Pattern Recognition 2020 (ICPR 2020), 2020 | 33 | 2020 |
| Assessing the impact of the deceived non local means filter as a preprocessing stage in a convolutional neural network based approach for age estimation using digital hand x … S Calderon, F Fallas, M Zumbado, PN Tyrrell, H Stark, Z Emersic, ... 2018 25th IEEE International Conference on Image Processing (ICIP), 1752-1756, 2018 | 27 | 2018 |
| Convolutional neural networks for segmenting xylem vessels in stained cross-sectional images SCR Angel Garcia-Pedrero, Ana I. García-Cervigón, José Miguel Olano Neural Computing and Applications, 2019 | 26* | 2019 |
| Improving uncertainty estimations for mammogram classification using semi-supervised learning S Calderon-Ramirez, D Murillo-Hernandez, K Rojas-Salazar, ... International Joint Conference on Neural Networks 2021 (IJCNN 2021), In Press, 2021 | 24 | 2021 |
| Dealing with distribution mismatch in semi-supervised deep learning for covid-19 detection using chest x-ray images: A novel approach using feature densities S Calderon-Ramirez, S Yang, D Elizondo, A Moemeni Applied Soft Computing 123, 108983, 2022 | 21 | 2022 |
| Semisupervised deep learning for image classification with distribution mismatch: A survey S Calderon-Ramirez, S Yang, D Elizondo IEEE Transactions on Artificial Intelligence 3 (6), 1015-1029, 2022 | 20 | 2022 |
| A brief analysis of u-net and mask r-cnn for skin lesion segmentation E Alfaro, XB Fonseca, EM Albornoz, CE Martínez, SC Ramrez 2019 IEEE International Work Conference on Bioinspired Intelligence (IWOBI …, 2019 | 20 | 2019 |
| The BEA 2024 shared task on the multilingual lexical simplification pipeline M Shardlow, F Alva-Manchego, RT Batista-Navarro, S Bott, ... Proceedings of the 19th Workshop on Innovative Use of NLP for Building …, 2024 | 16 | 2024 |
| A real use case of semi-supervised learning for mammogram classification in a local clinic of Costa Rica S Calderon-Ramirez, D Murillo-Hernandez, K Rojas-Salazar, D Elizondo, ... Medical & biological engineering & computing 60 (4), 1159-1175, 2022 | 16 | 2022 |
| Unsharp Masking Layer: Injecting Prior Knowledge in Convolutional Networks for Image Classification JTB Jose Carranza-Rojas, Saul Calderon-Ramirez, Adán Mora-Fallas, Michael ... Lecture Notes in Computer Science 11729, 3-16, 2019 | 14* | 2019 |
| Mixmood: A systematic approach to class distribution mismatch in semi-supervised learning using deep dataset dissimilarity measures S Calderon-Ramirez, L Oala, J Torrents-Barrena, S Yang, A Moemeni, ... arXiv preprint arXiv:2006.07767, 2020 | 13 | 2020 |
| Dewaff: A novel image abstraction approach to improve the performance of a cell tracking system S Calderón, A Sáenz, R Mora, F Siles, I Orozco, ME Buemi 2015 4th International Work Conference on Bioinspired Intelligence (IWOBI …, 2015 | 13 | 2015 |
| Assessing the impact of a preprocessing stage on deep learning architectures for breast tumor multi-class classification with histopathological images I Calvo, S Calderon, J Torrents-Barrena, E Muñoz, D Puig Latin American High Performance Computing Conference, 262-275, 2019 | 12 | 2019 |
| Using cluster analysis to assess the impact of dataset heterogeneity on deep convolutional network accuracy: A first glance M Mendez, S Calderon, PN Tyrrell Latin American High Performance Computing Conference, 307-319, 2019 | 12 | 2019 |
| Xylem Vessels Segmentation Through a Deep Learning Approach: a First Look 2018 IEEE International Work Conference on Bioinspired Intelligence (IWOBI), 2018 | 12 | 2018 |
David Elizondo, D. Elizondo, D. A. Eliz...De Montfort University, University of Georgia, Universite Louis PasteurVerified email at dmu.ac.uk