How to fool radiologists with generative adversarial networks? A visual turing test for lung cancer diagnosis MJM Chuquicusma, S Hussein, J Burt, U Bagci 2018 IEEE 15th international symposium on biomedical imaging (ISBI 2018 …, 2018 | 265 | 2018 |
Lung and pancreatic tumor characterization in the deep learning era: novel supervised and unsupervised learning approaches S Hussein, P Kandel, CW Bolan, MB Wallace, U Bagci IEEE transactions on medical imaging 38 (8), 1777-1787, 2019 | 262 | 2019 |
Risk stratification of lung nodules using 3D CNN-based multi-task learning S Hussein, K Cao, Q Song, U Bagci Information Processing in Medical Imaging: 25th International Conference …, 2017 | 195 | 2017 |
Deep learning beyond cats and dogs: recent advances in diagnosing breast cancer with deep neural networks JR Burt, N Torosdagli, N Khosravan, H RaviPrakash, A Mortazi, ... The British journal of radiology 91 (1089), 20170545, 2018 | 181 | 2018 |
Tumornet: Lung nodule characterization using multi-view convolutional neural network with gaussian process S Hussein, R Gillies, K Cao, Q Song, U Bagci 2017 IEEE 14th international symposium on biomedical imaging (ISBI 2017 …, 2017 | 137 | 2017 |
Deep learning to classify intraductal papillary mucinous neoplasms using magnetic resonance imaging JE Corral, S Hussein, P Kandel, CW Bolan, U Bagci, MB Wallace Pancreas 48 (6), 805-810, 2019 | 56 | 2019 |
Brown adipose tissue detected by PET/CT imaging is associated with less central obesity AL Green, U Bagci, S Hussein, PV Kelly, R Muzaffar, ... Nuclear medicine communications 38 (7), 629-635, 2017 | 34 | 2017 |
Automatic segmentation and quantification of white and brown adipose tissues from PET/CT scans S Hussein, A Green, A Watane, D Reiter, X Chen, GZ Papadakis, B Wood, ... IEEE transactions on medical imaging 36 (3), 734-744, 2016 | 33 | 2016 |
Estimation of BMI from facial images using semantic segmentation based region-aware pooling N Yousaf, S Hussein, W Sultani Computers in Biology and Medicine 133, 104392, 2021 | 21 | 2021 |
Robust calcification tracking in fluoroscopic imaging T Chen, S Hussein, M John, VK Singh US Patent 10,610,181, 2020 | 18 | 2020 |
A novel extension to fuzzy connectivity for body composition analysis: Applications in thigh, brain, and whole body tissue segmentation I Irmakci, S Hussein, A Savran, RR Kalyani, D Reiter, CW Chia, ... IEEE Transactions on Biomedical Engineering 66 (4), 1069-1081, 2018 | 18 | 2018 |
Deep multi-modal classification of intraductal papillary mucinous neoplasms (IPMN) with canonical correlation analysis S Hussein, P Kandel, JE Corral, CW Bolan, MB Wallace, U Bagci 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018 …, 2018 | 14 | 2018 |
Context driven label fusion for segmentation of subcutaneous and visceral fat in CT volumes S Hussein, A Green, A Watane, G Papadakis, M Osman, U Bagci arXiv preprint arXiv:1512.04958, 2015 | 8 | 2015 |
Context region discovery for automatic motion compensation in fluoroscopy Y Xia, S Hussein, V Singh, M John, Y Wu, T Chen International Journal of Computer Assisted Radiology and Surgery 11, 977-985, 2016 | 7 | 2016 |
Identifying out of distribution samples for skin cancer and malaria images M Zaid, S Ali, M Ali, S Hussein, A Saadia, W Sultani Biomedical Signal Processing and Control 78, 103882, 2022 | 4 | 2022 |
Adversarial campaign mitigation via roc-centric prognostics J Echauz, K Kenemer, S Hussein, J Dhaliwal, S Shintre, S Grzonkowski, ... Proceedings of the Annual Conference of the PHM Society 11, 2019 | 4 | 2019 |
Automatic Detection of Multiple Organs Using Convolutional Neural Networks E Cole, S Hussein | 4 | 2015 |
Out of distribution detection for skin and malaria images M Zaida, S Ali, M Ali, S Hussein, A Saadia, W Sultani arXiv preprint arXiv:2111.01505, 2021 | 3 | 2021 |
Su1337-deep learning to diagnose intraductal papillary mucinous neoplasms (IPMN) with MRI JE Corral, S Hussein, P Kandel, CW Bolan, MB Wallace, U Bagci Gastroenterology 154 (6), S-524-S-525, 2018 | 3 | 2018 |
Method for detection and diagnosis of lung and pancreatic cancers from imaging scans U Bagci, N Khosravan, S Hussein US Patent 11,730,387, 2023 | 1 | 2023 |