Publications of Ecem Sogancioglu

Papers in international journals

1. E. Sogancioglu, B. van Ginneken, F. Behrendt, M. Bengs, A. Schlaefer, M. Radu, D. Xu, K. Sheng, F. Scalzo, E. Marcus, S. Papa, J. Teuwen, E. Scholten, S. Schalekamp, N. Hendrix, C. Jacobs, W. Hendrix, C. Sánchez and K. Murphy, "Nodule detection and generation on chest X-rays: NODE21 Challenge", IEEE Transactions on Medical Imaging, 2024;43(8):2839-2853.
   Abstract DOI PMID
2. E. Calli, B. Van Ginneken, E. Sogancioglu and K. Murphy, "FRODO: An in-depth analysis of a system to reject outlier samples from a trained neural network.", IEEE transactions on medical imaging, 2022;PP.
   Abstract DOI PMID Cited by ~5
3. E. Sogancioglu, K. Murphy, E. Th Scholten, L. Boulogne, M. Prokop and B. van Ginneken, "Automated estimation of total lung volume using chest radiographs and deep learning", Medical Physics, 2022;49(7):4466-4477.
   Abstract DOI PMID Cited by ~5
4. J. Noothout, N. Lessmann, M. Eede, L. van Harten, E. Sogancioglu, F. Heslinga, M. Veta, B. van Ginneken and I. Isgum, "Knowledge distillation with ensembles of convolutional neural networks for medical image segmentation", Journal of Medical Imaging, 2022.
   Abstract DOI Cited by ~8
5. E. Calli, E. Sogancioglu, B. van Ginneken, K. van Leeuwen and K. Murphy, "Deep learning for chest X-ray analysis: A survey", Medical Image Analysis, 2021;72:102125.
   Abstract DOI PMID Download Cited by ~211
6. E. Sogancioglu, K. Murphy, E. Calli, E. Scholten, S. Schalekamp and B. Van Ginneken, "Cardiomegaly Detection on Chest Radiographs: Segmentation Versus Classification", IEEE Access, 2020;8:94631-94642.
   Abstract DOI Cited by ~27

Preprints

1. D. Belli, S. Hu, E. Sogancioglu and B. van Ginneken, "Chest X-Rays Image Inpainting with Context Encoders", arXiv:1812.00964, 2018.
   Abstract arXiv
2. E. Sogancioglu, S. Hu, D. Belli and B. van Ginneken, "Chest X-ray Inpainting with Deep Generative Models", arXiv:1809.01471, 2018.
   Abstract arXiv Cited by ~15
3. D. Belli, S. Hu, E. Sogancioglu and B. van Ginneken, "Context Encoding Chest X-rays", arXiv:1812.00964, 2018.
   Abstract DOI arXiv Cited by ~3

Papers in conference proceedings

1. E. Calli, E. Sogancioglu, E. Scholten, K. Murphy and B. van Ginneken, "Handling label noise through model confidence and uncertainty: application to chest radiograph classification", Medical Imaging, 2019(1).
   Abstract DOI Cited by ~17
2. E. Calli, K. Murphy, E. Sogancioglu and B. van Ginneken, "FRODO: Free rejection of out-of-distribution samples: application to chest x-ray analysis", Medical Imaging with Deep Learning, 2019.
   Abstract Url Cited by ~15

PhD theses

1. E. Sogancioglu, "Deep Learning for Clinical Practice: Enhancing Chest X-ray Diagnostics", PhD thesis, 2024.
   Abstract Url