| Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support: Third International Workshop, DLMIA 2017, and 7th International Workshop, ML-CDS … MJ Cardoso, T Arbel, G Carneiro, T Syeda-Mahmood, JMRS Tavares, ... Springer, 2017 | 737 | 2017 |
| A neural network based system for intrusion detection and classification of attacks M Moradi, M Zulkernine 2004 IEEE International Conference on Advances in Intelligent Systems …, 2004 | 320 | 2004 |
| 3D segmentation with exponential logarithmic loss for highly unbalanced object sizes KCL Wong, M Moradi, H Tang, T Syeda-Mahmood Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018 | 245 | 2018 |
| Semi-supervised learning with generative adversarial networks for chest X-ray classification with ability of data domain adaptation A Madani, M Moradi, A Karargyris, T Syeda-Mahmood 2018 IEEE 15th International symposium on biomedical imaging (ISBI 2018 …, 2018 | 209 | 2018 |
| Chest x-ray generation and data augmentation for cardiovascular abnormality classification A Madani, M Moradi, A Karargyris, T Syeda-Mahmood Medical imaging 2018: Image processing 10574, 415-420, 2018 | 201 | 2018 |
| High-throughput detection of prostate cancer in histological sections using probabilistic pairwise Markov models JP Monaco, JE Tomaszewski, MD Feldman, I Hagemann, M Moradi, ... Medical image analysis 14 (4), 617-629, 2010 | 167 | 2010 |
| Comparison of chest radiograph interpretations by artificial intelligence algorithm vs radiology residents JT Wu, KCL Wong, Y Gur, N Ansari, A Karargyris, A Sharma, M Morris, ... JAMA network open 3 (10), e2022779-e2022779, 2020 | 117 | 2020 |
| New features for automatic classification of human chromosomes: A feasibility study M Moradi, SK Setarehdan Pattern recognition letters 27 (1), 19-28, 2006 | 112 | 2006 |
| Augmenting detection of prostate cancer in transrectal ultrasound images using SVM and RF time series M Moradi, P Abolmaesumi, DR Siemens, EE Sauerbrei, AH Boag, ... IEEE Transactions on Biomedical Engineering 56 (9), 2214-2224, 2008 | 102 | 2008 |
| Ultrasound RF time series for classification of breast lesions. N Uniyal, H Eskandari, P Abolmaesumi, S Sojoudi, P Gordon, L Warren, ... IEEE Trans Med Imaging 34 (2), 652-61, 2015 | 99 | 2015 |
| Fracture detection in x-ray images through stacked random forests feature fusion Y Cao, H Wang, M Moradi, P Prasanna, TF Syeda-Mahmood 2015 IEEE 12th international symposium on biomedical imaging (ISBI), 801-805, 2015 | 87 | 2015 |
| Creation and validation of a chest X-ray dataset with eye-tracking and report dictation for AI development A Karargyris, S Kashyap, I Lourentzou, JT Wu, A Sharma, M Tong, ... Scientific data 8 (1), 92, 2021 | 85 | 2021 |
| Computer-aided diagnosis of prostate cancer with emphasis on ultrasound-based approaches: A review M Moradi, P Mousavi, P Abolmaesumi Ultrasound in Medicine & Biology 33 (7), 1010-1028, 2007 | 83 | 2007 |
| Building medical image classifiers with very limited data using segmentation networks KCL Wong, T Syeda-Mahmood, M Moradi Medical image analysis 49, 105-116, 2018 | 80 | 2018 |
| Generative adversarial network medical image generation for training of a classifier A Madani, M Moradi, TF Syeda-Mahmood US Patent 10,592,779, 2020 | 74 | 2020 |
| Multiparametric MRI maps for detection and grading of dominant prostate tumors M Moradi, SE Salcudean, SD Chang, EC Jones, N Buchan, RG Casey, ... Journal of Magnetic Resonance Imaging 35 (6), 1403–1413, 2012 | 73 | 2012 |
| Tissue typing using ultrasound RF time series: experiments with animal tissue samples M Moradi, P Abolmaesumi, P Mousavi Medical physics 37 (8), 4401-4413, 2010 | 60 | 2010 |
| A deep community based approach for large scale content based X-ray image retrieval NF Haq, M Moradi, ZJ Wang Medical Image Analysis 68, 101847, 2021 | 56 | 2021 |
| Deformable registration using scale space keypoints M Moradi, P Abolmaesoumi, P Mousavi Medical Imaging 2006: Image Processing 6144, 791-798, 2006 | 55 | 2006 |
| Chest X-ray Report Generation through Fine-Grained Label Learning T Syeda-Mahmood, KCL Wong, Y Gur, JT Wu, A Jadhav, S Kashyap, ... arXiv preprint arXiv:2007.13831 [To appear in MICCAI 2020], 2020 | 53 | 2020 |
Purang AbolmaesumiDepartment of Electrical and Computer Engineering, University of British Columbia, V6T 1Z4在 ece.ubc.ca 的电子邮件经过验证
