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Mehdi Moradi
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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
2942004
Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support: 4th International Workshop, DLMIA 2018, and 8th International Workshop, ML-CDS …
D Stoyanov, Z Taylor, G Carneiro, T Syeda-Mahmood, A Martel, ...
Springer, 2018
2802018
3D segmentation with exponential logarithmic loss for highly unbalanced object sizes
KCL Wong, M Moradi, H Tang, T Syeda-Mahmood
International Conference on Medical Image Computing and Computer-Assisted …, 2018
1672018
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
1512010
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
1452018
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
1182018
New features for automatic classification of human chromosomes: A feasibility study
M Moradi, SK Setarehdan
Pattern recognition letters 27 (1), 19-28, 2006
1032006
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
892008
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
782015
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
752007
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
692012
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
682015
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
642018
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
552010
Deformable registration using scale space keypoints
M Moradi, P Abolmaesoumi, P Mousavi
Medical Imaging 2006: Image Processing 6144, 791-798, 2006
522006
Automatic locating the centromere on human chromosome pictures
M Moradi, SK Setarehdan, SR Ghaffari
16th IEEE Symposium Computer-Based Medical Systems, 2003. Proceedings., 56-61, 2003
482003
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
412020
A cross-modality neural network transform for semi-automatic medical image annotation
M Moradi, Y Guo, Y Gur, M Negahdar, T Syeda-Mahmood
International Conference on Medical Image Computing and Computer-Assisted …, 2016
412016
A robotic system for intra-operative trans-rectal ultrasound and ultrasound elastography in radical prostatectomy
T Adebar, S Salcudean, S Mahdavi, M Moradi, C Nguan, L Goldenberg
International conference on information processing in computer-assisted …, 2011
412011
Deep learning in medical image analysis and multimodal learning for clinical decision support
MJ Cardoso, T Arbel, G Carneiro, T Syeda-Mahmood, JMRS Tavares, ...
38*2017
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