| Artificial intelligence for the detection of COVID-19 pneumonia on chest CT using multinational datasets SA Harmon, TH Sanford, S Xu, EB Turkbey, H Roth, Z Xu, D Yang, ... Nature communications 11 (1), 4080, 2020 | 625 | 2020 |
| A review on segmentation of positron emission tomography images B Foster, U Bagci, A Mansoor, Z Xu, DJ Mollura Computers in biology and medicine 50, 76-96, 2014 | 452 | 2014 |
| Capsules for object segmentation R LaLonde, U Bagci arXiv preprint arXiv:1804.04241, 2018 | 376 | 2018 |
| Evaluation of candidate vaccine approaches for MERS-CoV L Wang, W Shi, MG Joyce, K Modjarrad, Y Zhang, K Leung, CR Lees, ... Nature communications 6 (1), 7712, 2015 | 349 | 2015 |
| Segmentation and image analysis of abnormal lungs at CT: current approaches, challenges, and future trends A Mansoor, U Bagci, B Foster, Z Xu, GZ Papadakis, LR Folio, JK Udupa, ... Radiographics 35 (4), 1056-1076, 2015 | 333 | 2015 |
| Holistic Classification of CT Attenuation Patterns for Interstitial Lung Diseases via Deep Convolutional Neural Networks M Gao, U Bagci, L Lu, A Wu, M Buty, HC Shin, H Roth, GZ Papadakis, ... | 308 | 2015 |
| Evaluation of algorithms for multi-modality whole heart segmentation: an open-access grand challenge X Zhuang, L Li, C Payer, D Štern, M Urschler, MP Heinrich, J Oster, ... Medical image analysis 58, 101537, 2019 | 307 | 2019 |
| 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 | 303 | 2019 |
| 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 | 301 | 2018 |
| Medical image segmentation by combining graph cuts and oriented active appearance models X Chen, JK Udupa, U Bagci, Y Zhuge, J Yao IEEE transactions on image processing 21 (4), 2035-2046, 2012 | 298 | 2012 |
| RETOUCH: The retinal OCT fluid detection and segmentation benchmark and challenge H Bogunović, F Venhuizen, S Klimscha, S Apostolopoulos, ... IEEE transactions on medical imaging 38 (8), 1858-1874, 2019 | 246 | 2019 |
| A Generic Approach to Pathological Lung Segmentation A Mansoor, U Bagci, Z Xu, B Foster, KN Olivier, JM Elinoff, AF Suffredini, ... Transactions on Medical Imaging, 2014 | 212 | 2014 |
| 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, 2017 | 206 | 2017 |
| Joint segmentation of anatomical and functional images: Applications in quantification of lesions from PET, PET-CT, MRI-PET, and MRI-PET-CT images U Bagci, JK Udupa, N Mendhiratta, B Foster, Z Xu, J Yao, X Chen, ... Medical image analysis 17 (8), 929-945, 2013 | 205 | 2013 |
| 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 | 203 | 2018 |
| Real-time multi-class helmet violation detection using few-shot data sampling technique and yolov8 A Aboah, B Wang, U Bagci, Y Adu-Gyamfi Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023 | 182 | 2023 |
| TGANet: Text-guided attention for improved polyp segmentation NK Tomar, D Jha, U Bagci, S Ali International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 154 | 2022 |
| TumorNet: Lung Nodule Characterization Using Multi-View Convolutional Neural Network with Gaussian Process S Hussein, R Gillies, K Cao, Q Song, U Bagci IEEE International Symposium on Biomedical Imaging-2017, 2017 | 141 | 2017 |
| EEG based classification of long-term stress using psychological labeling SMU Saeed, SM Anwar, H Khalid, M Majid, U Bagci Sensors 20 (7), 1886, 2020 | 137 | 2020 |
| S4ND: Single-Shot Single-Scale Lung Nodule Detection N Khosravan, U Bagci Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018 | 135 | 2018 |
Daniel MolluraRAD-AID InternationalVerified email at rad-aid.org