| 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 | 185 | 2019 |
| Malaria Screener: a smartphone application for automated malaria screening H Yu, F Yang, S Rajaraman, I Ersoy, G Moallem, M Poostchi, ... BMC Infectious Diseases 20, 1-8, 2020 | 47 | 2020 |
| Diagnosing Malaria Patients with Plasmodium falciparum and vivax Using Deep Learning for Thick Smear Images YM Kassim, F Yang, H Yu, RJ Maude, S Jaeger Diagnostics 11 (11), 1994, 2021 | 23 | 2021 |
| Differentiating between drug-sensitive and drug-resistant tuberculosis with machine learning for clinical and radiological features F Yang, H Yu, K Kantipudi, M Karki, YM Kassim, A Rosenthal, DE Hurt, ... Quantitative Imaging in Medicine and Surgery 12 (1), 675, 2022 | 20 | 2022 |
| Generalization challenges in drug-resistant tuberculosis detection from chest X-rays M Karki, K Kantipudi, F Yang, H Yu, YXJ Wang, Z Yaniv, S Jaeger Diagnostics 12 (1), 188, 2022 | 17 | 2022 |
| Smartphone-supported malaria diagnosis based on deep learning F Yang, H Yu, K Silamut, RJ Maude, S Jaeger, S Antani Machine Learning in Medical Imaging: 10th International Workshop, MLMI 2019 …, 2019 | 15 | 2019 |
| Cascading yolo: automated malaria parasite detection for plasmodium vivax in thin blood smears F Yang, N Quizon, H Yu, K Silamut, RJ Maude, S Jaeger, S Antani Medical Imaging 2020: Computer-Aided Diagnosis 11314, 404-410, 2020 | 14 | 2020 |
| Parasite detection in thick blood smears based on customized faster-RCNN on smartphones F Yang, H Yu, K Silamut, RJ Maude, S Jaeger, S Antani 2019 IEEE Applied Imagery Pattern Recognition Workshop (AIPR), 1-4, 2019 | 13 | 2019 |
| Identifying drug-resistant tuberculosis in chest radiographs: Evaluation of CNN architectures and training strategies M Karki, K Kantipudi, H Yu, F Yang, YM Kassim, Z Yaniv, S Jaeger 2021 43rd Annual International Conference of the IEEE Engineering in …, 2021 | 12 | 2021 |
| Detecting and segmenting white blood cells in microscopy images of thin blood smears G Moallem, M Poostchi, H Yu, K Silamut, N Palaniappan, S Antani, ... 2017 IEEE Applied Imagery Pattern Recognition Workshop (AIPR), 1-8, 2017 | 10 | 2017 |
| Patient-level performance evaluation of a smartphone-based malaria diagnostic application H Yu, FO Mohammed, M Abdel Hamid, F Yang, YM Kassim, AO Mohamed, ... Malaria Journal 22 (1), 33, 2023 | 8 | 2023 |
| Deep learning-based cell detection and extraction in thin blood smears for malaria diagnosis DK Ufuktepe, F Yang, YM Kassim, H Yu, RJ Maude, K Palaniappan, ... 2021 IEEE Applied Imagery Pattern Recognition Workshop (AIPR), 1-6, 2021 | 5 | 2021 |
| Reducing the diagnostic burden of malaria using microscopy image analysis and machine learning in the field S Jaeger, K Silamut, H Yu, M Poostchi, I Ersoy, A Powell, Z Liang, ... Annual Meeting of the American Society of Tropical Medicine & Hygiene (ASTMH …, 2016 | 4 | 2016 |
| Automated drug-resistant TB screening: importance of demographic features and radiological findings in chest X-ray F Yang, H Yu, K Kantipudi, A Rosenthal, DE Hurt, Z Yaniv, S Jaeger 2021 IEEE Applied Imagery Pattern Recognition Workshop (AIPR), 1-4, 2021 | 2 | 2021 |
| EpiX: A 3D Measurement Tool for Heritage, Archeology, and Aerial Photogrammetry S Yao, H Yu, H AliAkbarpour, G Seetharaman, K Palaniappan Heritage Preservation: A Computational Approach, 47-66, 2018 | 1 | 2018 |
| Automated Pulmonary Tuberculosis Severity Assessment on Chest X-rays K Kantipudi, J Gu, V Bui, H Yu, S Jaeger, Z Yaniv Journal of Imaging Informatics in Medicine, 1-13, 2024 | | 2024 |
| Evaluating the performance of hyperparameters for unbiased and fair machine learning V Bui, H Yu, K Kantipudi, Z Yaniv, S Jaeger Medical Imaging 2024: Image Processing 12926, 275-287, 2024 | | 2024 |
| DETECTING AND CLASSIFYING CELLS WITH A MULTI-CLASS MASK R-CNN IN THIN SMEAR MICROSCOPY FOR MALARIA DIAGNOSIS YM Kassim, H Yu, F Yang, K Silamut, RJ Maude, S Jaeger AMERICAN JOURNAL OF TROPICAL MEDICINE AND HYGIENE 105 (5), 344-344, 2021 | | 2021 |
| Automatic Blood Smear Analysis with Artificial Intelligence and Smartphones H Yu, S Jaeger, F Yang, K Silamut, R Maude AMERICAN JOURNAL OF TROPICAL MEDICINE AND HYGIENE 101, 379-380, 2019 | | 2019 |
| Automatic White Blood Cell Detection and Segmentation in Microscopy Images of Thin Blood Smears G Moallem, M Poostchi, H Yu, N Palaniappan, K Silamut, RJ Maude, ... | | |
