| Multi-scale convolutional neural networks for lung nodule classification W Shen, M Zhou, F Yang, C Yang, J Tian Information Processing in Medical Imaging: 24th International Conference …, 2015 | 775 | 2015 |
| Multi-crop convolutional neural networks for lung nodule malignancy suspiciousness classification W Shen, M Zhou, F Yang, D Yu, D Dong, C Yang, Y Zang, J Tian Pattern Recognition 61, 663-673, 2017 | 681 | 2017 |
| 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 | 223 | 2019 |
| Lung lesion extraction using a toboggan based growing automatic segmentation approach J Song, C Yang, L Fan, K Wang, F Yang, S Liu, J Tian IEEE transactions on medical imaging 35 (1), 337-353, 2015 | 112 | 2015 |
| Staging of cervical cancer based on tumor heterogeneity characterized by texture features on 18F-FDG PET images W Mu, Z Chen, Y Liang, W Shen, F Yang, R Dai, N Wu, J Tian Physics in Medicine & Biology 60 (13), 5123, 2015 | 99 | 2015 |
| Learning from experts: Developing transferable deep features for patient-level lung cancer prediction W Shen, M Zhou, F Yang, D Dong, C Yang, Y Zang, J Tian Medical Image Computing and Computer-Assisted Intervention–MICCAI 2016: 19th …, 2016 | 98 | 2016 |
| 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 | 88 | 2020 |
| 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 | 59 | 2020 |
| Free-breathing diffusion tensor imaging and tractography of the human heart in healthy volunteers using wavelet-based image fusion H Wei, M Viallon, BMA Delattre, K Moulin, F Yang, P Croisille, Y Zhu IEEE transactions on medical imaging 34 (1), 306-316, 2014 | 59 | 2014 |
| Detecting drug-resistant tuberculosis in chest radiographs S Jaeger, OH Juarez-Espinosa, S Candemir, M Poostchi, F Yang, L Kim, ... International journal of computer assisted radiology and surgery 13, 1915-1925, 2018 | 57 | 2018 |
| Feature-based interpolation of diffusion tensor fields and application to human cardiac DT-MRI F Yang, YM Zhu, IE Magnin, JH Luo, P Croisille, PB Kingsley Medical image analysis 16 (2), 459-481, 2012 | 55 | 2012 |
| Fast rotation-free feature-based image registration using improved N-SIFT and GMM-based parallel optimization D Yu, F Yang, C Yang, C Leng, J Cao, Y Wang, J Tian IEEE Transactions on Biomedical Engineering 63 (8), 1653-1664, 2015 | 41 | 2015 |
| 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 | 34 | 2021 |
| A Segmentation Algorithm for Quantitative Analysis of Heterogeneous Tumors of the Cervix With18F-FDG PET/CT W Mu, Z Chen, W Shen, F Yang, Y Liang, R Dai, N Wu, J Tian IEEE Transactions on Biomedical Engineering 62 (10), 2465-2479, 2015 | 29 | 2015 |
| 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 | 25 | 2022 |
| Assessing inter-annotator agreement for medical image segmentation F Yang, G Zamzmi, S Angara, S Rajaraman, A Aquilina, Z Xue, S Jaeger, ... IEEE Access 11, 21300-21312, 2023 | 24 | 2023 |
| Automatic localization of vertebrae based on convolutional neural networks W Shen, F Yang, W Mu, C Yang, X Yang, J Tian Medical Imaging 2015: Image Processing 9413, 654-659, 2015 | 24 | 2015 |
| Material decomposition in X-ray spectral CT using multiple constraints in image domain B Xie, T Su, V Kaftandjian, P Niu, F Yang, M Robini, Y Zhu, P Duvauchelle Journal of Nondestructive Evaluation 38, 1-9, 2019 | 20 | 2019 |
| Cascading YOLO: Automated Malaria Parasite Detection for Plasmodium Vivax in Thin Blood Smears F Yang, N Quizon, K Silamut, RJ Maude, S Jaeger, S Antani | 18 | 2020 |
| 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 | 18 | 2019 |
Yue Min ZhucreatisVerified email at creatis.insa-lyon.fr
