| Deep learning for chest X-ray analysis: A survey E Çallı, E Sogancioglu, B van Ginneken, KG van Leeuwen, K Murphy Medical Image Analysis 72, 102125, 2021 | 306 | 2021 |
| Automated assessment of COVID-19 reporting and data system and chest CT severity scores in patients suspected of having COVID-19 using artificial intelligence N Lessmann, CI Sánchez, L Beenen, LH Boulogne, M Brink, E Calli, ... Radiology 298 (1), E18-E28, 2021 | 98 | 2021 |
| Automated assessment of CO-RADS and chest CT severity scores in patients with suspected COVID-19 using artificial intelligence N Lessmann, CI Sánchez, L Beenen, LH Boulogne, M Brink, E Calli, ... Radiology, 2020 | 69 | 2020 |
| Cardiomegaly detection on chest radiographs: segmentation versus classification E Sogancioglu, K Murphy, E Calli, ET Scholten, S Schalekamp, ... IEEE Access 8, 94631-94642, 2020 | 45 | 2020 |
| FRODO: Free rejection of out-of-distribution samples: application to chest x-ray analysis E Çallı, K Murphy, E Sogancioglu, B Van Ginneken arXiv preprint arXiv:1907.01253, 2019 | 20 | 2019 |
| Handling label noise through model confidence and uncertainty: application to chest radiograph classification E Calli, E Sogancioglu, ET Scholten, K Murphy, B van Ginneken Medical Imaging 2019: Computer-Aided Diagnosis 10950, 289-296, 2019 | 17 | 2019 |
| FRODO: An in-depth analysis of a system to reject outlier samples from a trained neural network E Calli, B Van Ginneken, E Sogancioglu, K Murphy IEEE Transactions on Medical Imaging 42 (4), 971-981, 2022 | 6 | 2022 |
| Deep learning with robustness to missing data: A novel approach to the detection of COVID-19 E Çallı, K Murphy, S Kurstjens, T Samson, R Herpers, H Smits, M Rutten, ... Plos one 16 (7), e0255301, 2021 | 5 | 2021 |
| Explainable emphysema detection on chest radiographs with deep learning E Çallı, K Murphy, ET Scholten, S Schalekamp, B van Ginneken Plos one 17 (7), e0267539, 2022 | 2 | 2022 |
| Faster Convolutional Neural Networks E Calli | 2 | 2017 |
| Deep learning methods towards clinically applicable Chest X-ray interpretation systems E Çallı Radboud University, 2023 | | 2023 |
| Hermitry Ratio: Evaluating the validity of perturbation methods for explainable deep learning G Ras, E Çallı, M van Gerven | | 2021 |
| an.(2021). utomated assessment of COVID-19 reporting and data s stem and chest CT se erit scores in patients suspected of ha ing COVID-19 using artificial intelligence.(1) N Lessmann, CI Sanchez, L Beenen, LH Boulogne, M Brink, E Calli, ... E18-E28. doi 10, 0 | | |
