Feng Yang
Feng Yang
National Library of Medicine, NIH
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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
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
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
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
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
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
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
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
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
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
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
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), 1-8, 2020
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
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
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
Convolutional neural networks for predicting molecular profiles of non-small cell lung cancer
D Yu, M Zhou, F Yang, D Dong, O Gevaert, Z Liu, J Shi, J Tian
2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017 …, 2017
Fast single image super-resolution using estimated low-frequency k-space data in MRI
J Luo, Z Mou, B Qin, W Li, F Yang, M Robini, Y Zhu
Magnetic resonance imaging 40, 1-11, 2017
A comparative study of different level interpolations for improving spatial resolution in diffusion tensor imaging
F Yang, YM Zhu, JH Luo, M Robini, J Liu, P Croisille
IEEE Journal of Biomedical and Health Informatics 18 (4), 1317-1327, 2014
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
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
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