| Two public chest X-ray datasets for computer-aided screening of pulmonary diseases S Jaeger, S Candemir, S Antani, YXJ Wáng, PX Lu, G Thoma Quantitative imaging in medicine and surgery 4 (6), 475, 2014 | 1101 | 2014 |
| Automatic tuberculosis screening using chest radiographs S Jaeger, A Karargyris, S Candemir, L Folio, J Siegelman, F Callaghan, ... IEEE transactions on medical imaging 33 (2), 233-245, 2013 | 692 | 2013 |
| Lung segmentation in chest radiographs using anatomical atlases with nonrigid registration S Candemir, S Jaeger, K Palaniappan, JP Musco, RK Singh, Z Xue, ... IEEE transactions on medical imaging 33 (2), 577-590, 2013 | 669 | 2013 |
| Image analysis and machine learning for detecting malaria M Poostchi, K Silamut, RJ Maude, S Jaeger, G Thoma Translational Research 194, 36-55, 2018 | 577 | 2018 |
| Pre-trained convolutional neural networks as feature extractors toward improved malaria parasite detection in thin blood smear images S Rajaraman, SK Antani, M Poostchi, K Silamut, MA Hossain, RJ Maude, ... PeerJ 6, e4568, 2018 | 536 | 2018 |
| 'Online recognition of Chinese characters: the state-of-the-art CL Liu, S Jaeger, M Nakagawa IEEE transactions on pattern analysis and machine intelligence 26 (2), 198-213, 2004 | 439 | 2004 |
| Online handwriting recognition: the NPen++ recognizer S Jaeger, S Manke, J Reichert, A Waibel International Journal on Document Analysis and Recognition 3, 169-180, 2001 | 375 | 2001 |
| CNN-based image analysis for malaria diagnosis Z Liang, A Powell, I Ersoy, M Poostchi, K Silamut, K Palaniappan, P Guo, ... 2016 IEEE international conference on bioinformatics and biomedicine (BIBM …, 2016 | 339 | 2016 |
| Review of classifier combination methods S Tulyakov, S Jaeger, V Govindaraju, D Doermann Machine learning in document analysis and recognition, 361-386, 2008 | 293 | 2008 |
| Script-independent text line segmentation in freestyle handwritten documents Y Li, Y Zheng, D Doermann, S Jaeger IEEE Transactions on Pattern Analysis and Machine Intelligence 30 (8), 1313-1329, 2008 | 285 | 2008 |
| Deep learning for smartphone-based malaria parasite detection in thick blood smears F Yang, M Poostchi, H Yu, Z Zhou, K Silamut, J Yu, RJ Maude, S Jaeger, ... IEEE journal of biomedical and health informatics 24 (5), 1427-1438, 2019 | 222 | 2019 |
| Performance evaluation of deep neural ensembles toward malaria parasite detection in thin-blood smear images S Rajaraman, S Jaeger, SK Antani PeerJ 7, e6977, 2019 | 175 | 2019 |
| Feature selection for automatic tuberculosis screening in frontal chest radiographs S Vajda, A Karargyris, S Jaeger, KC Santosh, S Candemir, Z Xue, ... Journal of medical systems 42, 1-11, 2018 | 169 | 2018 |
| Automatic screening for tuberculosis in chest radiographs: a survey S Jaeger, A Karargyris, S Candemir, J Siegelman, L Folio, S Antani, ... Quantitative imaging in medicine and surgery 3 (2), 89, 2013 | 165 | 2013 |
| Detecting tuberculosis in radiographs using combined lung masks S Jaeger, A Karargyris, S Antani, G Thoma 2012 Annual international conference of the IEEE engineering in medicine and …, 2012 | 151 | 2012 |
| Efficient feature extraction and likelihood fusion for vehicle tracking in low frame rate airborne video K Palaniappan, F Bunyak, P Kumar, I Ersoy, S Jaeger, K Ganguli, ... 2010 13th international conference on information fusion, 1-8, 2010 | 143 | 2010 |
| Combination of texture and shape features to detect pulmonary abnormalities in digital chest X-rays A Karargyris, J Siegelman, D Tzortzis, S Jaeger, S Candemir, Z Xue, ... International journal of computer assisted radiology and surgery 11, 99-106, 2016 | 141 | 2016 |
| Signature detection and matching for document image retrieval G Zhu, Y Zheng, D Doermann, S Jaeger IEEE Transactions on Pattern Analysis and Machine Intelligence 31 (11), 2015 …, 2008 | 126 | 2008 |
| The state of the art in Japanese online handwriting recognition compared to techniques in western handwriting recognition S Jäger, CL Liu, M Nakagawa Document Analysis and Recognition 6, 75-88, 2003 | 99 | 2003 |
| Clustering-based dual deep learning architecture for detecting red blood cells in malaria diagnostic smears YM Kassim, K Palaniappan, F Yang, M Poostchi, N Palaniappan, ... IEEE Journal of Biomedical and Health Informatics 25 (5), 1735-1746, 2020 | 86 | 2020 |